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(By chronological order) or (By research themes)

Journal Papers

 

D. Mehta, M. Rahman, K. Aono &amp S. Chakrabartty.(2022). An adaptive synaptic array using Fowler–Nordheim dynamic analog memory. Nature Communications 13, 1670 https://doi.org/10.1038/s41467-022-29320-6


 

M. Rahman, L. Zhou &amp S. Chakrabartty.(2022). SPoTKD: A Protocol for Symmetric Key Distribution Over Public Channels Using Self-Powered Timekeeping Devices. IEEE Transactions on Information Forensics and Security, vol. 17, pp. 1159-1171 doi: 10.1109/TIFS.2022.3158089


 

Lo LW, Zhao J, Wan H, Wang Y, Chakrabartty S &amp Wang C.(2022). A Soft Sponge Sensor for Multimodal Sensing and Distinguishing of Pressure, Strain, and Temperature. ACS Appl Mater Interfaces. 2022 Feb 23;14(7):9570-9578. doi: 10.1021/acsami.1c21003

 

A. R. Nair, S. Chakrabartty &amp C. S. Thakur.(2021). In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers, in IEEE Internet of Things Journal. IEEE Internet of Things Journal doi: 10.1109/JIOT.2021.3109739

 

K. Barri, Q. Zhang, D. Mehta, S. Chakrabartty, R. Debski and A. H. Alavi.(2021). Studying the Feasibility of Postoperative Monitoring of Spinal Fusion Progress Using a Self-powered Fowler-Nordheim Sensor-Data-Logger. IEEE Transactions on Biomedical Engineering doi: 10.1109/TBME.2021.3103776

 

Gangopadhyay, A., & Chakrabartty, S. (2021). A Sparsity-Driven Backpropagation-Less Learning Framework Using Populations of Spiking Growth Transform Neurons. Frontiers in Neuroscience, 15, 715451. https://doi.org/10.3389/fnins.2021.715451


 

Lo, L.-W., Zhao, J., Wan, H., Wang, Y., Chakrabartty, S., & Wang, C. (2021). An Inkjet-Printed PEDOT:PSS-Based Stretchable Conductor for Wearable Health Monitoring Device Applications. ACS Applied Materials & Interfaces, 13(18), 21693–21702. https://doi.org/10.1021/acsami.1c00537

 

Salehi, H., Burgueño, R., Chakrabartty, S., Lajnef, N., & Alavi, A. H. (2021). A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends. Engineering Structures, 234, 111963. https://doi.org/10.1016/j.engstruct.2021.111963

 

Chatterjee, O., & Chakrabartty, S. (2021). Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems. IEEE Transactions on Neural Networks and Learning Systems, 32(3), 1289–1303. https://doi.org/10.1109/TNNLS.2020.2984267

 

Barri, K., Zhang, Q., Mehta, D., Chakrabartty, S., Debski, R., & Alavi, A. H. (2021). Studying the Feasibility of Postoperative Monitoring of Spinal Fusion Progress Using a Self-powered Fowler-Nordheim Sensor-Data-Logger. IEEE Transactions on Biomedical Engineering, 1–1. https://doi.org/10.1109/TBME.2021.3103776

 

Kondapalli, S. H., & Chakrabartty, S. (2021). Sub-Nanowatt Ultrasonic Bio-Telemetry Using B-Scan Imaging. IEEE Open Journal of Engineering in Medicine and Biology, 2, 17–25. https://doi.org/10.1109/OJEMB.2021.3053174


 

Nair, A. R., Chakrabartty, S., & Thakur, C. S. (2021). In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers. IEEE Internet of Things Journal, 1–1. https://doi.org/10.1109/JIOT.2021.3109739

 

Mehta, D., Aono, K., & Chakrabartty, S. (2020). A self-powered analog sensor-data-logging device based on Fowler-Nordheim dynamical systems. Nature Communications, 11(1), 5446. https://doi.org/10.1038/s41467-020-19292-w


 

Saha, D., Mehta, D., Altan, E., Chandak, R., Traner, M., Lo, R., Gupta, P., Singamaneni, S., Chakrabartty, S., & Raman, B. (2020). Explosive sensing with insect-based biorobots. Biosensors and Bioelectronics: X, 6, 100050. https://doi.org/10.1016/j.biosx.2020.100050


 

Gangopadhyay, A., Mehta, D., & Chakrabartty, S. (2020). A Spiking Neuron and Population Model Based on the Growth Transform Dynamical System. Frontiers in Neuroscience, 14, 425. https://doi.org/10.3389/fnins.2020.00425


 

Gupta, R., Luan, J., Chakrabartty, S., Scheller, E. L., Morrissey, J., & Singamaneni, S. (2020). Refreshable Nanobiosensor Based on Organosilica Encapsulation of Biorecognition Elements. ACS Applied Materials & Interfaces, 12(5), 5420–5428. https://doi.org/10.1021/acsami.9b17506


 

Alazzawi, Y., Chatterjee, O., & Chakrabartty, S. (2019). A compact and energy-efficient ultrasound receiver using PTAT reference circuit. Microelectronics Journal, 94, 104656. https://doi.org/10.1016/j.mejo.2019.104656

 

Zhou, L., Kondapalli, S. H., Aono, K., & Chakrabartty, S. (2019). Desynchronization of Self-Powered FN Tunneling Timers for Trust Verification of IoT Supply Chain. IEEE Internet of Things Journal, 6(4), 6537–6547. https://doi.org/10.1109/JIOT.2019.2907930

 

Alazzawi, Y., Aono, K., Scheller, E. L., & Chakrabartty, S. (2019). Exploiting Self-Capacitances for Wireless Power Transfer. IEEE Transactions on Biomedical Circuits and Systems, 13(2), 425–434. https://doi.org/10.1109/TBCAS.2019.2900433


 

Aono, K., Hasni, H., Pochettino, O., Lajnef, N., & Chakrabartty, S. (2019). Quasi-Self-Powered Piezo-Floating-Gate Sensing Technology for Continuous Monitoring of Large-Scale Bridges. Frontiers in Built Environment, 5, 29. https://doi.org/10.3389/fbuil.2019.00029

 

Salehi, H., Chakrabartty, S., Biswas, S., & Burgueño, R. (2019). Localized damage identification in plate-like structures using self-powered sensor data: A pattern recognition strategy. Measurement, 135, 23–38. https://doi.org/10.1016/j.measurement.2018.11.023

 

Chatterjee, O., & Chakrabartty, S. (2018). Decentralized Global Optimization Based on a Growth Transform Dynamical System Model. IEEE Transactions on Neural Networks and Learning Systems, 29(12), 6052–6061. https://doi.org/10.1109/TNNLS.2018.2817367

 

Kondapalli, S. H., Alazzawi, Y., Malinowski, M., Timek, T., & Chakrabartty, S. (2018). Feasibility of Self-Powering and Energy Harvesting Using Cardiac Valvular Perturbations. IEEE Transactions on Biomedical Circuits and Systems, 12(6), 1392–1400. https://doi.org/10.1109/TBCAS.2018.2865405

 

Afifi, M. H., Zhou, L., Chakrabartty, S., & Ren, J. (2018). Dynamic Authentication Protocol Using Self-Powered Timers for Passive Internet of Things. IEEE Internet of Things Journal, 5(4), 2927–2935. https://doi.org/10.1109/JIOT.2017.2757918


 

Gangopadhyay, A., & Chakrabartty, S. (2018). Spiking, Bursting, and Population Dynamics in a Network of Growth Transform Neurons. IEEE Transactions on Neural Networks and Learning Systems, 29(6), 2379–2391. https://doi.org/10.1109/TNNLS.2017.2695171

 

Kondapalli, S. H., Zhang, X., & chakrabartty, S. (2018). Energy-Dissipation Limits in Variance-Based Computing. Fluctuation and Noise Letters, 17(02), 1850013. https://doi.org/10.1142/S021947751850013X

 

Yuan, M., Jiang, Q., Liu, K.-K., Singamaneni, S., & Chakrabartty, S. (2018). Towards an Integrated QR Code Biosensor: Light-Driven Sample Acquisition and Bacterial Cellulose Paper Substrate. IEEE Transactions on Biomedical Circuits and Systems, 12(3), 452–460. https://doi.org/10.1109/TBCAS.2018.2801566


 

Gangopadhyay, A., Chatterjee, O., & Chakrabartty, S. (2018). Extended Polynomial Growth Transforms for Design and Training of Generalized Support Vector Machines. IEEE Transactions on Neural Networks and Learning Systems, 29(5), 1961–1974. https://doi.org/10.1109/TNNLS.2017.2690434

 

Zhou, L., Aono, K., & Chakrabartty, S. (2018). A CMOS Timer-Injector Integrated Circuit for Self-Powered Sensing of Time-of-Occurrence. IEEE Journal of Solid-State Circuits, 53(5), 1539–1549. https://doi.org/10.1109/JSSC.2018.2793531


 

Kondapalli, S. H., Alazzawi, Y., Malinowski, M., Timek, T., & Chakrabartty, S. (2018). Multiaccess In Vivo Biotelemetry Using Sonomicrometry and M-Scan Ultrasound Imaging. IEEE Transactions on Biomedical Engineering, 65(1), 149–158. https://doi.org/10.1109/TBME.2017.2697998


 

Hasni, H., Alavi, A. H., Jiao, P., Lajnef, N., Chatti, K., Aono, K., & Chakrabartty, S. (2017). A new approach for damage detection in asphalt concrete pavements using battery-free wireless sensors with non-constant injection rates. Measurement, 110, 217–229. https://doi.org/10.1016/j.measurement.2017.06.035

 

Hasni, H., Alavi, A. H., Lajnef, N., Abdelbarr, M., Masri, S. F., & Chakrabartty, S. (2017). Self-powered piezo-floating-gate sensors for health monitoring of steel plates. Engineering Structures, 148, 584–601. https://doi.org/10.1016/j.engstruct.2017.06.063

 

Khan, H. A., Gore, A., Ashe, J., & Chakrabartty, S. (2017). Virtual Spirometry and Activity Monitoring Using Multichannel Electrical Impedance Plethysmographs in Ambulatory Settings. IEEE Transactions on Biomedical Circuits and Systems, 11(4), 832–848. https://doi.org/10.1109/TBCAS.2017.2688339

 

Zhou, L., & Chakrabartty, S. (2017). Linearization of CMOS Hot-Electron Injectors for Self-Powered Monitoring of Biomechanical Strain Variations. IEEE Transactions on Biomedical Circuits and Systems, 11(2), 446–454. https://doi.org/10.1109/TBCAS.2016.2605444

 

Das, S., Salehi, H., Shi, Y., Chakrabartty, S., Burgueno, R., & Biswas, S. (2017). Towards packet-less ultrasonic sensor networks for energy-harvesting structures. Computer Communications, 101, 94–105. https://doi.org/10.1016/j.comcom.2016.11.001

 

Zhou, L., & Chakrabartty, S. (2017). Self-Powered Timekeeping and Synchronization Using Fowler–Nordheim Tunneling-Based Floating-Gate Integrators. IEEE Transactions on Electron Devices, 64(3), 1254–1260. https://doi.org/10.1109/TED.2016.2645379


 

Zhou, L., Abraham, A. C., Tang, S. Y., & Chakrabartty, S. (2016). A 5 nW Quasi-Linear CMOS Hot-Electron Injector for Self-Powered Monitoring of Biomechanical Strain Variations. IEEE Transactions on Biomedical Circuits and Systems, 10(6), 1143–1151. https://doi.org/10.1109/TBCAS.2016.2523992

 

Yuan, M., Liu, K., Singamaneni, S., & Chakrabartty, S. (2016). Self-Powered Forward Error-Correcting Biosensor Based on Integration of Paper-Based Microfluidics and Self-Assembled Quick Response Codes. IEEE Transactions on Biomedical Circuits and Systems, 10(5), 963–971. https://doi.org/10.1109/TBCAS.2016.2580156

 

Yuan, M., Alocilja, E. C., & Chakrabartty, S. (2016). Self-Powered Wireless Affinity-Based Biosensor Based on Integration of Paper-Based Microfluidics and Self-Assembled RFID Antennas. IEEE Transactions on Biomedical Circuits and Systems, 10(4), 799–806. https://doi.org/10.1109/TBCAS.2016.2535245


 

Borchani, W., Aono, K., Lajnef, N., & Chakrabartty, S. (2016). Monitoring of Postoperative Bone Healing Using Smart Trauma-Fixation Device With Integrated Self-Powered Piezo-Floating-Gate Sensors. IEEE Transactions on Biomedical Engineering, 63(7), 1463–1472. https://doi.org/10.1109/TBME.2015.2496237

 

Feng, T., Lajnef, N., & Chakrabartty, S. (2016). Design of a CMOS System-on-Chip for Passive, Near-Field Ultrasonic Energy Harvesting and Back-Telemetry. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 24(2), 544–554. https://doi.org/10.1109/TVLSI.2015.2401037

 

Yuan, M., Chahal, P., Alocilja, E. C., & Chakrabartty, S. (2015). Wireless Biosensing Using Silver-Enhancement Based Self-Assembled Antennas in Passive Radio Frequency Identification (RFID) Tags. IEEE Sensors Journal, 15(8), 4442–4450. https://doi.org/10.1109/JSEN.2015.2420852

 

Feng, T., Aono, K., Covassin, T., & Chakrabartty, S. (2015). Self-Powered Monitoring of Repeated Head Impacts Using Time-Dilation Energy Measurement Circuit. IEEE Transactions on Biomedical Circuits and Systems, 9(2), 217–226. https://doi.org/10.1109/TBCAS.2015.2403864

 

Khan, H. A., & Chakrabartty, S. (2015). On the Channel Capacity of High-Throughput Proteomic Microarrays. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 1(1), 50–61. https://doi.org/10.1109/TMBMC.2015.2465516

 

Lajnef, N., Borchani, W., Burgueno, R., & Chakrabartty, S. (2015). Self-Powered Piezo-Floating-Gate Smart-Gauges Based on Quasi-Static Mechanical Energy Concentrators and Triggers. IEEE Sensors Journal, 15(2), 676–683. https://doi.org/10.1109/JSEN.2014.2351398

 

Nguyen, T. T., Feng, T., Hafliger, P., & Chakrabartty, S. (2014). Hybrid CMOS Rectifier Based on Synergistic RF-Piezoelectric Energy Scavenging. IEEE Transactions on Circuits and Systems I: Regular Papers, 61(12), 3330–3338. https://doi.org/10.1109/TCSI.2014.2334972

 

Ming Gu, & Chakrabartty, S. (2014). Design of a Programmable Gain, Temperature Compensated Current-Input Current-Output CMOS Logarithmic Amplifier. IEEE Transactions on Biomedical Circuits and Systems, 8(3), 423–431. https://doi.org/10.1109/TBCAS.2013.2273617

 

Yuan, M., Alocilja, E. C., & Chakrabartty, S. (2014). A Novel Biosensor Based on Silver-Enhanced Self-Assembled Radio-Frequency Antennas. IEEE Sensors Journal, 14(4), 941–942. https://doi.org/10.1109/JSEN.2013.2296155

 

Sarkar, P., & Chakrabartty, S. (2013). Compressive Self-Powering of Piezo-Floating-Gate Mechanical Impact Detectors. IEEE Transactions on Circuits and Systems I: Regular Papers, 60(9), 2311–2320. https://doi.org/10.1109/TCSI.2013.2245472

 

Aono, K., Shaga, R. K., & Chakrabartty, S. (2013). Exploiting Jump-Resonance Hysteresis in Silicon Auditory Front-Ends for Extracting Speaker Discriminative Formant Trajectories. IEEE Transactions on Biomedical Circuits and Systems, 7(4), 389–400. https://doi.org/10.1109/TBCAS.2012.2218104

 

Ming Gu, & Chakrabartty, S. (2013). FAST: A Framework for Simulation and Analysis of Large-Scale Protein-Silicon Biosensor Circuits. IEEE Transactions on Biomedical Circuits and Systems, 7(4), 451–459. https://doi.org/10.1109/TBCAS.2012.2222403

 

Sarkar, P., Huang, C., & Chakrabartty, S. (2013). An Ultra-Linear Piezo-Floating-Gate Strain-Gauge for Self-Powered Measurement of Quasi-Static-Strain. IEEE Transactions on Biomedical Circuits and Systems, 7(4), 437–450. https://doi.org/10.1109/TBCAS.2012.2220764

 

Chakrabartty, S., Shaga, R. K., & Aono, K. (2013). Noise-Shaping Gradient Descent-Based Online Adaptation Algorithms for Digital Calibration of Analog Circuits. IEEE Transactions on Neural Networks and Learning Systems, 24(4), 554–565. https://doi.org/10.1109/TNNLS.2012.2236572


 

Gu, M., & Chakrabartty, S. (2012). Subthreshold, Varactor-Driven CMOS Floating-Gate Current Memory Array With Less Than 150-ppm/$^{\circ}$K Temperature Sensitivity. IEEE Journal of Solid-State Circuits, 47(11), 2846–2856. https://doi.org/10.1109/JSSC.2012.2214911


 

Fazel, A., & Chakrabartty, S. (2012). Sparse Auditory Reproducing Kernel (SPARK) Features for Noise-Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 20(4), 1362–1371. https://doi.org/10.1109/TASL.2011.2179294

 

Gu, M., & Chakrabartty, S. (2012). Synthesis of Bias-Scalable CMOS Analog Computational Circuits Using Margin Propagation. IEEE Transactions on Circuits and Systems I: Regular Papers, 59(2), 243–254. https://doi.org/10.1109/TCSI.2011.2163968


 

Huang, C., & Chakrabartty, S. (2012). An Asynchronous Analog Self-Powered CMOS Sensor-Data-Logger With a 13.56 MHz RF Programming Interface. IEEE Journal of Solid-State Circuits, 47(2), 476–489. https://doi.org/10.1109/JSSC.2011.2172159


 

Huang, C., Sarkar, P., & Chakrabartty, S. (2011). Rail-to-Rail, Linear Hot-Electron Injection Programming of Floating-Gate Voltage Bias Generators at 13-Bit Resolution. IEEE Journal of Solid-State Circuits, 46(11), 2685–2692. https://doi.org/10.1109/JSSC.2011.2167390

 

Gu, M., & Chakrabartty, S. (2011). A 100 pJ/bit, (32,8) CMOS Analog Low-Density Parity-Check Decoder Based on Margin Propagation. IEEE Journal of Solid-State Circuits, 46(6), 1433–1442. https://doi.org/10.1109/JSSC.2011.2134550

 

Fazel, A., & Chakrabartty, S. (2011). An Overview of Statistical Pattern Recognition Techniques for Speaker Verification. IEEE Circuits and Systems Magazine, 11(2), 62–81. https://doi.org/10.1109/MCAS.2011.941080

 

Huang, C., & Chakrabartty, S. (2011). Compact self-powered CMOS strain-rate monitoring circuit for piezoelectric energy scavengers. Electronics Letters, 47(4), 277. https://doi.org/10.1049/el.2010.3430

 

Huang, C., & Chakrabartty, S. (2011). Current-input current-output CMOS logarithmic amplifier based on translinear Ohm’s law. Electronics Letters, 47(7), 433. https://doi.org/10.1049/el.2011.0338

 

Liu, Y., Gu, M., Alocilja, E. C., & Chakrabartty, S. (2010). Co-detection: Ultra-reliable nanoparticle-based electrical detection of biomolecules in the presence of large background interference. Biosensors and Bioelectronics, 26(3), 1087–1092. https://doi.org/10.1016/j.bios.2010.08.067

 

Gore, A., Fazel, A., & Chakrabartty, S. (2010). Far-field acoustic source localization and bearing estimation using Σ Δ learners. IEEE Transactions on Circuits and Systems I: Regular Papers, 57(4), 783–792. https://doi.org/10.1109/TCSI.2009.2027627

 

Chenling Huang, Lajnef, N., & Chakrabartty, S. (2010). Calibration and Characterization of Self-Powered Floating-Gate Usage Monitor With Single Electron per Second Operational Limit. IEEE Transactions on Circuits and Systems I: Regular Papers, 57(3), 556–567. https://doi.org/10.1109/TCSI.2009.2024976

 

Fazel, A., Gore, A., & Chakrabartty, S. (2010). Resolution Enhancement in $\Sigma\Delta$ Learners for Superresolution Source Separation. IEEE Transactions on Signal Processing, 58(3), 1193–1204. https://doi.org/10.1109/TSP.2009.2034909

 

Gore, A., & Chakrabartty, S. (2010). A Min–Max Optimization Framework for Designing $\Sigma\Delta$ Learners: Theory and Hardware. IEEE Transactions on Circuits and Systems I: Regular Papers, 57(3), 604–617. https://doi.org/10.1109/TCSI.2009.2025002

 

Liu, Y., Zhang, D., Alocilja, E. C., & Chakrabartty, S. (2010). Biomolecules Detection Using a Silver-Enhanced Gold Nanoparticle-Based Biochip. Nanoscale Research Letters, 5(3), 533–538. https://doi.org/10.1007/s11671-010-9542-0

 

Liu, Y., & Chakrabartty, S. (2009). Factor Graph-Based Biomolecular Circuit Analysis for Designing Forward Error Correcting Biosensors. IEEE Transactions on Biomedical Circuits and Systems, 3(3), 150–159. https://doi.org/10.1109/TBCAS.2009.2014247

 

Lajnef, N., Elvin, N. G., & Chakrabartty, S. (2008). A Piezo-Powered Floating-Gate Sensor Array for Long-Term Fatigue Monitoring in Biomechanical Implants. IEEE Transactions on Biomedical Circuits and Systems, 2(3), 164–172. https://doi.org/10.1109/TBCAS.2008.2001473

 

Liu, Y., Gore, A., Chakrabartty, S., & Alocilja, E. C. (2008). Characterization of sub-systems of a molecular biowire-based biosensor device. Microchimica Acta, 163(1–2), 49–56. https://doi.org/10.1007/s00604-008-0950-0

 

Kong, C., & Chakrabartty, S. (2007). Analog Iterative LDPC Decoder Based on Margin Propagation. IEEE Transactions on Circuits and Systems II: Express Briefs, 54(12), 1140–1144. https://doi.org/10.1109/TCSII.2007.906190
Liu, Y., Chakrabartty, S., & Alocilja, E. C. (2007). Fundamental building blocks for molecular biowire based forward error-correcting biosensors. Nanotechnology, 18(42), 424017. https://doi.org/10.1088/0957-4484/18/42/424017


 

Venkataramani, V., Chakrabartty, S., & Byrne, W. (2007). Ginisupport vector machines for segmental minimum Bayes risk decoding of continuous speech. Computer Speech & Language, 21(3), 423–442. https://doi.org/10.1016/j.csl.2006.08.002

 

Chakrabartty, S., & Cauwenberghs, G. (2007). Gini-Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression. J. Mach. Learn. Res., 8, 813–839.

 

Chakrabartty, S., & Cauwenberghs, G. (2007). Sub-Microwatt Analog VLSI Trainable Pattern Classifier. IEEE Journal of Solid-State Circuits, 42(5), 1169–1179. https://doi.org/10.1109/JSSC.2007.894803


 

Zuo, Y., Chakrabartty, S., Muhammad-Tahir, Z., Pal, S., & Alocilja, E. C. (2006). Spatio-Temporal Processing for Multichannel Biosensors Using Support Vector Machines. IEEE Sensors Journal, 6(6), 1644–1651. https://doi.org/10.1109/JSEN.2006.884445

Gore, A., Chakrabartty, S., Pal, S., & Alocilja, E. C. (2006). A Multichannel Femtoampere-Sensitivity Potentiostat Array for Biosensing Applications. IEEE Transactions on Circuits and Systems I: Regular Papers, 53(11), 2357–2363. https://doi.org/10.1109/TCSI.2006.884432

 

Genov, R., Chakrabartty, S., & Cauwenberghs, G. (2003). SILICON SUPPORT VECTOR MACHINE WITH ON-LINE LEARNING. International Journal of Pattern Recognition and Artificial Intelligence, 17(03), 385–404. https://doi.org/10.1142/S0218001403002472

 

Chakrabartty, S., Yunbin Deng, & Cauwenberghs, G. (2004). Robust speech feature extraction by growth transformation in reproducing kernel Hilbert space. 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1, I-133–136. https://doi.org/10.1109/ICASSP.2004.1325940

 

Conference Publications

 

Chakrabartty, S., Cauwenberghs, G., & Jayadeva. (2003). Sparse Probability Regression by Label Partitioning. In B. Schölkopf & M. K. Warmuth (Eds.), Learning Theory and Kernel Machines (Vol. 2777, pp. 231–242). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-45167-9_18

 

Chakrabartty, S., & Cauwenberghs, G. (2002). Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition. In S.-W. Lee & A. Verri (Eds.), Pattern Recognition with Support Vector Machines (Vol. 2388, pp. 278–292). Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-45665-1_22

 

Afifi, M. H., Zhou, L., Chakrabartty, S., & Ren, J. (2018). HPMAP: A Hash-Based Privacy-Preserving Mutual Authentication Protocol for Passive IoT Devices Using Self-Powered Timers. 2018 IEEE International Conference on Communications (ICC), 1–6. https://doi.org/10.1109/ICC.2018.8423016

 

Alavi, A. H., Hasni, H., Jiao, P., Aono, K., Lajnef, N., & Chakrabartty, S. (2019). Self-charging and self-monitoring smart civil infrastructure systems: Current practice and future trends. In K.-W. Wang, H. Sohn, H. Huang, & J. P. Lynch (Eds.), Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019 (p. 34). SPIE. https://doi.org/10.1117/12.2513476

 

Alazzawi, Y., & Chakrabartty, S. (2016). Design of CMOS telemetry circuits for in-vivo wireless sonomicrometry. 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2022–2025. https://doi.org/10.1109/ISCAS.2016.7538974

 

Alazzawi, Y., & Chakrabartty, S. (2017). Self-powered system-on-chip for substrate computing and ultrasonic communications. 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 671–674. https://doi.org/10.1109/MWSCAS.2017.8053012

 

Alazzawi, Y., Qian, C., & Chakrabartty, S. (2015). Feasibility of non-contact ultrasound generation using implanted metallic surfaces as electromagnetic acoustic transducers. 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1–4. https://doi.org/10.1109/BioCAS.2015.7348447

 

Aono, K., Covassin, T., & Chakrabartty, S. (2014). Monitoring of repeated head impacts using time-dilation based self-powered sensing. 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 1620–1623. https://doi.org/10.1109/ISCAS.2014.6865461

 

Aono, K., Hasni, H., Pochettino, O., Lajnef, N., & Chakrabartty, S. (2018). Quasi-self-powered Infrastructural Internet of Things: The Mackinac Bridge Case Study. Proceedings of the 2018 on Great Lakes Symposium on VLSI, 335–340. https://doi.org/10.1145/3194554.3194622

 

Aono, K., Lajnef, N., Faridazar, F., & Chakrabartty, S. (2016). Infrastructural health monitoring using self-powered Internet-of-Things. 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2058–2061. https://doi.org/10.1109/ISCAS.2016.7538983

 

Aono, K., Shaga, R. K., & Chakrabartty, S. (2012). Exploiting jump-resonance hysteresis in silicon cochlea for formant trajectory encoding. 2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS), 85–88. https://doi.org/10.1109/MWSCAS.2012.6291963

 

Chakrabartty, S. (2006). CMOS Analog Iterative Decoders Using Margin Propagation Circuits. 2006 IEEE International Symposium on Circuits and Systems, 5003–5006. https://doi.org/10.1109/ISCAS.2006.1693755

 

Chakrabartty, S. (2010). Multiple-input multiple-output (MIMO) analog-to-feature converter chipsets for sub-wavelength acoustic source localization and bearing estimation (E. M. Carapezza, Ed.; p. 766628). https://doi.org/10.1117/12.852671

 

Chakrabartty, S., & Cauwenberghs, G. (2003). Expectation Maximization of Forward Decoding Kernel Machines. In C. M. Bishop & B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics (Vol. R4, pp. 65–71). PMLR. https://proceedings.mlr.press/r4/chakrabartty03a.html

 

Chakrabartty, S., & Cauwenberghs, G. (2005). Fixed-Current Method for Programming Large Floating-Gate Arrays. 2005 IEEE International Symposium on Circuits and Systems, 3934–3937. https://doi.org/10.1109/ISCAS.2005.1465491

 

Chakrabartty, S., & Cauwenberghs, G. (2002). Forward-Decoding Kernel-Based Phone Sequence Recognition. Proceedings of the 15th International Conference on Neural Information Processing Systems, 1189–1196.

 

Chakrabartty, S., & Cauwenberghs, G. (2003). Power dissipation limits and large margin in wireless sensors. Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS ’03., 4, IV-832-IV–835. https://doi.org/10.1109/ISCAS.2003.1206349

 

Chakrabartty, S., & Cauwenberghs, G. (2002). Sequence estimation and channel equalization using forward decoding kernel machines. IEEE International Conference on Acoustics Speech and Signal Processing, III-2669-III–2672. https://doi.org/10.1109/ICASSP.2002.5745197
Chakrabartty, S., & Cauwenberghs, G. (2005). Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation. In L. Saul, Y. Weiss, & L. Bottou (Eds.), Advances in Neural Information Processing Systems (Vol. 17). MIT Press. https://proceedings.neurips.cc/paper/2004/file/60519c3dd22587d6de04d5f1e28bd41d-Paper.pdf


 

Chakrabartty, S., Feng, T., & Aono, K. (2013). Gen-2 RFID compatible, zero down-time, programmable mechanical strain-monitors and mechanical impact detectors (J. P. Lynch, C.-B. Yun, & K.-W. Wang, Eds.; p. 86921A). https://doi.org/10.1117/12.2011956

 

Chakrabartty, S., & Gore, A. (2009). Sigma-delta analog to LPC feature converters for portable recognition interfaces. 2009 IEEE International Symposium on Circuits and Systems, 2673–2676. https://doi.org/10.1109/ISCAS.2009.5118352

 

Chakrabartty, S., Gore, A., & Oweiss, K. G. (2006). An adaptive multiple-input multiple-output analog-to-digital converter for high density neuroprosthetic electrode arrays. 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 656–659. https://doi.org/10.1109/IEMBS.2006.259512

 

Chakrabartty, S., & Lajnef, N. (2009). Infrasonic power-harvesting and nanowatt self-powered sensors. 2009 IEEE International Symposium on Circuits and Systems, 157–160. https://doi.org/10.1109/ISCAS.2009.5117709

 

Chakrabartty, S., & Liu, S.-C. (2010). Exploiting spike-based dynamics in a silicon cochlea for speaker identification. Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 513–516. https://doi.org/10.1109/ISCAS.2010.5537578

 

Chakrabartty, S., & Liu, Y. (2008). Towards reliable multi-pathogen biosensors using high-dimensional encoding and decoding techniques (M. Razeghi & H. Mohseni, Eds.; p. 703514). https://doi.org/10.1117/12.799358

 

Chakrabartty, S., Singh, G., & Cauwenberghs, G. (2000). Hybrid support vector machine/hidden Markov model approach for continuous speech recognition. Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144), 2, 828–831. https://doi.org/10.1109/MWSCAS.2000.952883

 

Chakrabartty, S., Stanacevic, M., & Tran, T. D. (2000). Adaptive image database using wavelets. Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154), 2, 1856–1860. https://doi.org/10.1109/ACSSC.2000.911309

 

Chakrabartty, S., Yagi, M., Shibata, T., & Cauwenberghs, G. (2003). Robust cephalometric landmark identification using support vector machines. 2003 International Conference on Multimedia and Expo. ICME ’03. Proceedings (Cat. No.03TH8698), III–429. https://doi.org/10.1109/ICME.2003.1221340

 

Chakrabartty, S., Yunbin Deng, & Cauwenberghs, G. (2004). Robust speech feature extraction by growth transformation in reproducing kernel Hilbert space. 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1, I-133–136. https://doi.org/10.1109/ICASSP.2004.1325940

 

Chenling Huang, & Chakrabartty, S. (2009). Reducing indirect programming mismatch due to oxide-traps using dual-channel floating-gate transistors. 2009 IEEE International Symposium on Circuits and Systems, 1783–1786. https://doi.org/10.1109/ISCAS.2009.5118122

 

Chenling Huang, & Chakrabartty, S. (2008). Self-powered CMOS impact-rate monitors for biomechanical implants. 2008 IEEE Biomedical Circuits and Systems Conference, 385–388. https://doi.org/10.1109/BIOCAS.2008.4696955

 

Cheong Kun, Mason, A., & Chakrabartty, S. (2005). A Dynamic Reconfigurable A/D Converter for Sensor Applications. IEEE Sensors, 2005., 1221–1224. https://doi.org/10.1109/ICSENS.2005.1597926

 

Chi, Y. M., Abbas, A., Chakrabartty, S., & Cauwenberghs, G. (2009). An Active Pixel CMOS separable transform image sensor. 2009 IEEE International Symposium on Circuits and Systems, 1281–1284. https://doi.org/10.1109/ISCAS.2009.5117997

 

Elvin, N., Lajnef, N., Chakrabartty, S., & Elvin, A. (2007). A sub-microwatt self-powered fatigue sensor (M. Tomizuka, C.-B. Yun, & V. Giurgiutiu, Eds.; p. 652914). https://doi.org/10.1117/12.715419

 

Fang, B., Feng, T., Zhang, M., & Chakrabartty, S. (2015). Feasibility of B-mode diagnostic ultrasonic energy transfer and telemetry to a cm2 sized deep-tissue implant. 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 782–785. https://doi.org/10.1109/ISCAS.2015.7168750

 

Fazel, A., & Chakrabartty, S. (2009). Non-linear filtering in reproducing Kernel Hilbert Spaces for noise-robust speaker verification. 2009 IEEE International Symposium on Circuits and Systems, 113–116. https://doi.org/10.1109/ISCAS.2009.5117698

 

Fazel, A., & Chakrabartty, S. (2009). Non-linear filtering in reproducing Kernel Hilbert Spaces for noise-robust speaker verification. 2009 IEEE International Symposium on Circuits and Systems, 113–116. https://doi.org/10.1109/ISCAS.2009.5117698

 

Fazel, A., & Chakrabartty, S. (2008). Sigma-delta learning for super-resolution independent component analysis. 2008 IEEE International Symposium on Circuits and Systems, 2997–3000. https://doi.org/10.1109/ISCAS.2008.4542088

 

Fazel, A., & Chakrabartty, S. (2010). Sigma-delta learning for super-resolution source separation on high-density microphone arrays. Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 797–800. https://doi.org/10.1109/ISCAS.2010.5537450

 

Fazel, A., & Chakrabartty, S. (2008). Sigma-delta resolution enhancement for far-field acoustic source separation. 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 1917–1920. https://doi.org/10.1109/ICASSP.2008.4518010

 

Fazel, A., & Chakrabartty, S. (2011). Sparse kernel cepstral coefficients (SKCC): Inner-product based features for noise-robust speech recognition. 2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2401–2404. https://doi.org/10.1109/ISCAS.2011.5938087

 

Feng, T., & Chakrabartty, S. (2012). Analysis and design of high efficiency inductive power-links using a novel matching strategy. 2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS), 1172–1175. https://doi.org/10.1109/MWSCAS.2012.6292234

 

Gangopadhyay, A., Chatterjee, O., & Chakrabartty, S. (2018). Continuous-time Optimization using Sub-threshold Current-mode Growth Transform Circuits. 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 246–249. https://doi.org/10.1109/MWSCAS.2018.8624043

 

Gore, A., & Chakrabartty, S. (2006). Large Margin Multi-Channel Analog-to-Digital Conversion with Applications to Neural Prosthesis. Proceedings of the 19th International Conference on Neural Information Processing Systems, 497–504.

 

Gore, A., & Chakrabartty, S. (2005). Online calibration of floating gate detectors for RFID sensors. 48th Midwest Symposium on Circuits and Systems, 2005., 87-90 Vol. 1. https://doi.org/10.1109/MWSCAS.2005.1594046

 

Gore, A., Chakrabartty, S., Pal, S., & Alocilja, E. (2006). A multi-channel femtoampere-sensitivity conductometric array for biosensing applications. 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 6489–6492. https://doi.org/10.1109/IEMBS.2006.260865

 

Gu, M., & Chakrabartty, S. (2013). A 120dB input dynamic range, current-input current-output CMOS logarithmic amplifier with 230ppm/K temperature sensitivity. 2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS), 521–524. https://doi.org/10.1109/MWSCAS.2013.6674700

 

Gu, M., & Chakrabartty, S. (2014). A bias-scalable current-mode analog support vector machine based on margin propagation. 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 273–276. https://doi.org/10.1109/ISCAS.2014.6865118

 

Gu, M., & Chakrabartty, S. (2011). An adaptive analog low-density parity-check decoder based on margin propagation. 2011 IEEE International Symposium of Circuits and Systems (ISCAS), 1315–1318. https://doi.org/10.1109/ISCAS.2011.5937813

 

Gu, M., & Chakrabartty, S. (2013). Bias-scalable inner-product approximation circuit using analog margin propagation. 2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS), 525–528. https://doi.org/10.1109/MWSCAS.2013.6674701

 

Gu, M., & Chakrabartty, S. (2012). Varactor-driven temperature compensation of CMOS floating-gate current memory. 2012 IEEE International Symposium on Circuits and Systems, 2095–2098. https://doi.org/10.1109/ISCAS.2012.6271697

 

Gu, M., Liu, Y., & Chakrabartty, S. (2010). FAST: A simulation framework for solving large-scale probabilistic inverse problems in nano-biomolecular circuits. Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 3160–3163. https://doi.org/10.1109/ISCAS.2010.5537953

 

Gu, M., Misra, K., Radha, H., & Chakrabartty, S. (2009). Sparse Decoding of Low Density Parity Check Codes Using Margin Propagation. GLOBECOM 2009 – 2009 IEEE Global Telecommunications Conference, 1–6. https://doi.org/10.1109/GLOCOM.2009.5425585

 

Hindo, T., & Chakrabartty, S. (2012). Noise-exploitation and adaptation in neuromorphic sensors (A. Lakhtakia, Ed.; p. 833905). https://doi.org/10.1117/12.920189

 

Huang, C., & Chakrabartty, S. (2011). A hybrid energy scavenging sensor for long-term mechanical strain monitoring. 2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2473–2476. https://doi.org/10.1109/ISCAS.2011.5938105

 

Huang, C., & Chakrabartty, S. (2011). A miniature batteryless health and usage monitoring system based on hybrid energy harvesting (M. Tomizuka, Ed.; p. 798142). https://doi.org/10.1117/12.881494

 

Huang, C., & Chakrabartty, S. (2010). A temperature compensated array of CMOS floating-gate analog memory. Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 109–112. https://doi.org/10.1109/ISCAS.2010.5536998

 

Huang, C., & Chakrabartty, S. (2008). Low-threshold voltage multipliers based on floating-gate charge-pumps. 2008 IEEE Biomedical Circuits and Systems Conference, 205–208. https://doi.org/10.1109/BIOCAS.2008.4696910

 

Huang, C., Lajnef, N., & Chakrabartty, S. (2010). Infrasonic energy harvesting for embedded structural health monitoring micro-sensors (M. Tomizuka, Ed.; p. 764746). https://doi.org/10.1117/12.847328

 

Kondapalli, S. H., Pochettino, O., Aono, K., & Chakrabartty, S. (2018). Hybrid-Powered Internet-of-Things for Infrastructure-to-Vehicle Communication. 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 1000–1003. https://doi.org/10.1109/MWSCAS.2018.8623840

 

Kondapalli, S. H., Zhang, X., & Chakrabartty, S. (2017). Variance-based digital logic for energy harvesting Internet-of-Things. 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1–4. https://doi.org/10.1109/ISCAS.2017.8050359

 

Kondapalli, S. H., Zhou, L., Aono, K., & Chakrabartty, S. (2019). Long-term, Time-synchronized Temperature Monitoring using Self-Powered CMOS Timers. 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS), 856–859. https://doi.org/10.1109/MWSCAS.2019.8884874

 

Kucher, P., & Chakrabartty, S. (2006). An Adaptive CMOS Imager with Time-Based Compressive Active-Pixel Response. 2006 IEEE International Symposium on Circuits and Systems, 205–208. https://doi.org/10.1109/ISCAS.2006.1692558

 

Kucher, P., & Chakrabartty, S. (2007). An Energy-Scalable Margin Propagation-Based Analog VLSI Support Vector Machine. 2007 IEEE International Symposium on Circuits and Systems, 1289–1292. https://doi.org/10.1109/ISCAS.2007.378407

 

Lajnef, N., Burgueno, R., Borchani, W., & Chakrabartty, S. (2014). Sub-Hz self-powered sensing based on mechanical-buckling driven hot-electron injection. 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 670–673. https://doi.org/10.1109/ISCAS.2014.6865224

 

Lajnef, N., Chakrabartty, S., Burgueño, R., & Borchani, W. (2014). Quasi-static self-powered sensing and data logging (J. P. Lynch, K.-W. Wang, & H. Sohn, Eds.; p. 90611V). https://doi.org/10.1117/12.2045113

 

Lajnef, N., Chakrabartty, S., Elvin, N., & Elvin, A. (2006). A sub-microwatt piezo-floating-gate sensor for long-term fatigue monitoring in biomechanical implants. 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 5936–5939. https://doi.org/10.1109/IEMBS.2006.260580

 

Lajnef, N., Chakrabartty, S., Elvin, N., & Elvin, A. (2007). Piezo-powered floating gate injector for self-powered fatigue monitoring in biomechanical implants. 2007 IEEE International Symposium on Circuits and Systems, 89–92. https://doi.org/10.1109/ISCAS.2007.378189

 

Lajnef, N., Chakrabartty, S., & Elvin, N. G. (2008). Calibration and characterization of self-powered floating-gate sensor arrays for long-term fatigue monitoring. 2008 IEEE International Symposium on Circuits and Systems, 1096–1099. https://doi.org/10.1109/ISCAS.2008.4541613

 

Liang Zhou, Sarkar, P., & Chakrabartty, S. (2013). Scavenging thermal-noise energy for implementing long-term self-powered CMOS timers. 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2203–2206. https://doi.org/10.1109/ISCAS.2013.6572313

 

Liu, Y., Alocilja, E., & Chakrabartty, S. (2008). Forward error correcting biosensors: Modeling, algorithms and fabrication. 2008 IEEE Biomedical Circuits and Systems Conference, 249–252. https://doi.org/10.1109/BIOCAS.2008.4696921

 

Liu, Y., Chakrabartty, S., Gkinosatis, D. S., Mohanty, A. K., & Lajnef, N. (2007). Multi-walled Carbon Nanotubes/Poly(L-lactide) Nanocomposite Strain Sensor for Biomechanical Implants. 2007 IEEE Biomedical Circuits and Systems Conference, 119–122. https://doi.org/10.1109/BIOCAS.2007.4463323

 

Liu, Y., Gore, A., Chakrabartty, S., & Alocilja, E. (2007). A Molecular bio-wire based multi-array biosensor with integrated potentiostat. 2007 IEEE Biomedical Circuits and Systems Conference, 29–32. https://doi.org/10.1109/BIOCAS.2007.4463301

 

Liu, Y., Gore, A., Chakrabartty, S., & Alocilja, E. (2007). A Molecular bio-wire based multi-array biosensor with integrated potentiostat. 2007 IEEE Biomedical Circuits and Systems Conference, 29–32. https://doi.org/10.1109/BIOCAS.2007.4463301

 

Mehta, D., Altan, E., Chandak, R., Raman, B., & Chakrabartty, S. (2017). Behaving cyborg locusts for standoff chemical sensing. 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1–4. https://doi.org/10.1109/ISCAS.2017.8050610

 

Mehta, D., Zhou, L., Aono, K., & Chakrabartty, S. (2018). Self-powered Sensing and Time-Stamping of Tampering Events. 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 968–971. https://doi.org/10.1109/MWSCAS.2018.8623916

 

Pochettino, O., Kondapalli, S. H., Aono, K., & Chakrabartty, S. (2019). Real-time Infrastructure-to-Vehicle Communication using RF-Triggered Wireless Sensors. 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS), 556–559. https://doi.org/10.1109/MWSCAS.2019.8885087

 

Pochettino, O., Mehta, D., Saha, D., Raman, B., Aono, K., & Chakrabartty, S. (2021). A Backpack Recording Platform for Neural Measurements in Ambulatory Insects. 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 911–915. https://doi.org/10.1109/MWSCAS47672.2021.9531790

 

Sarkar, P., & Chakrabartty, S. (2013). A compressive piezoelectric front-end circuit for self-powered mechanical impact detectors. 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2207–2210. https://doi.org/10.1109/ISCAS.2013.6572314

 

Sarkar, P., Huang, C., & Chakrabartty, S. (2012). A self-powered static-strain sensor based on differential linear piezo-floating-gate injectors. 2012 IEEE International Symposium on Circuits and Systems, 1167–1170. https://doi.org/10.1109/ISCAS.2012.6271440

 

Scheid, B., & Chakrabartty, S. (2017). Feasibility of hybrid ultrasound-electrical nerve stimulation for electroceuticals. 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1–4. https://doi.org/10.1109/ISCAS.2017.8050555

 

Shaga, R. K., & Chakrabartty, S. (2012). Sigma-Delta gradient-descent learning for online real-time calibration of digitally-assisted analog circuits. 2012 IEEE International Symposium on Circuits and Systems, 2885–2888. https://doi.org/10.1109/ISCAS.2012.6271916

 

Venkataramani, V., Chakrabartty, S., & Byrne, W. (2003). Support vector machines for segmental minimum Bayes risk decoding of continuous speech. 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721), 13–18. https://doi.org/10.1109/ASRU.2003.1318396

 

Vogelstein, R. J., Murari, K., Thakur, P. H., Diehl, C., Chakrabartty, S., & Cauwenberghs, G. (2004). Spike sorting with support vector machines. The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3, 546–549. https://doi.org/10.1109/IEMBS.2004.1403215

 

Yang Liu, Alocilja, E., & Chakrabartty, S. (2009). Exploiting Sub-threshold and above-threshold characteristics in a silver-enhanced gold nanoparticle based biochip. 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3810–3813. https://doi.org/10.1109/IEMBS.2009.5335200

 

Yang Liu, & Chakrabartty, S. (2008). Computer aided simulation and verification of forward error-correcting biosensors. 2008 IEEE International Symposium on Circuits and Systems, 1826–1829. https://doi.org/10.1109/ISCAS.2008.4541795

 

Yang Liu, Chakrabartty, S., & Alocilja, E. C. (2008). A multiplexed biosensor based on biomolecular nanowires. 2008 IEEE International Symposium on Circuits and Systems, 2006–2009. https://doi.org/10.1109/ISCAS.2008.4541840

 

Yang Liu, Deng Zhang, Alocilja, E., & Chakrabartty, S. (2009). Design and characterization of a silver-enhanced gold nanoparticle-based biochip. 2009 IEEE International Symposium on Circuits and Systems, 2433–2436. https://doi.org/10.1109/ISCAS.2009.5118292

 

Yuan, M., Alocilja, E. C., & Chakrabartty, S. (2015). Self-powered wireless biosensing based on integration of paper-based microfluidics with self-assembling RFID antennas. 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1–4. https://doi.org/10.1109/BioCAS.2015.7348388

 

Yuan, M., Chahal, P., Alocilja, E. C., & Chakrabartty, S. (2015). Sensing by growing antennas: A novel approach for designing passive RFID based biosensors. 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2121–2124. https://doi.org/10.1109/ISCAS.2015.7169098

 

Yuan, M., Liu, K., Singamaneni, S., & Chakrabartty, S. (2017). Analyte sampling in paper biosensors powered by graphite-based light absorption. 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1–4. https://doi.org/10.1109/ISCAS.2017.8050686

 

Yunbin Deng, Chakrabartty, S., & Cauwenberghs, G. (2004). Three-decade programmable fully differential linear OTA. 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512), I-697–700. https://doi.org/10.1109/ISCAS.2004.1328290

 

Zhou, L., Abraham, A. C., Tang, S. Y., & Chakrabartty, S. (2016). Approaching the limits of piezoelectricity driven hot-electron injection for self-powered in vivo monitoring of micro-strain variations. 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 1810–1813. https://doi.org/10.1109/ISCAS.2016.7538921

 

Zhou, L., Aono, K., & Chakrabartty, S. (2018). Gaussian Process Regression for Improving the Performance of Self-powered Time-of-Occurrence Sensors. 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 996–999. https://doi.org/10.1109/MWSCAS.2018.8624046

 

Zhou, L., & Chakrabartty, S. (2014). A 7-transistor-per-cell, high-density analog storage array with 500uV update accuracy and greater than 60dB linearity. 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 1572–1575. https://doi.org/10.1109/ISCAS.2014.6865449

 

Zhou, L., & Chakrabartty, S. (2015). A continuous-time varactor-based temperature compensation circuit for floating-gate multipliers and inner-product circuits. 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2513–2516. https://doi.org/10.1109/ISCAS.2015.7169196

 

Zhou, L., & Chakrabartty, S. (2015). Design of low-Gm transconductors using varactor-based degeneration and linearization technique. 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1–4. https://doi.org/10.1109/BioCAS.2015.7348305

 

Zhou, L., & Chakrabartty, S. (2017). Secure dynamic authentication of passive assets and passive IoTs using self-powered timers. 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1–4. https://doi.org/10.1109/ISCAS.2017.8050842

 

Zhou, L., & Chakrabartty, S. (2017). Self-powered continuous time-temperature monitoring for cold-chain management. 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 879–882. https://doi.org/10.1109/MWSCAS.2017.8053064

 

Zhou, L., & Chakrabartty, S. (2016). Self-powered sensing and time-stamping of rare events using CMOS Fowler-Nordheim tunneling timers. 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2839–2842. https://doi.org/10.1109/ISCAS.2016.7539184

 

 

Research Papers (By Research Themes)

Analog for Self-powered Systems

 

Salehi, H., Burgueño, R., Chakrabartty, S., Lajnef, N., & Alavi, A. H. (2021). A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends. Engineering Structures, 234, 111963. https://doi.org/10.1016/j.engstruct.2021.111963

 

Barri, K., Zhang, Q., Mehta, D., Chakrabartty, S., Debski, R., & Alavi, A. H. (2021). Studying the Feasibility of Postoperative Monitoring of Spinal Fusion Progress Using a Self-powered Fowler-Nordheim Sensor-Data-Logger. IEEE Transactions on Biomedical Engineering, 1–1. https://doi.org/10.1109/TBME.2021.3103776

 

Mehta, D., Aono, K., & Chakrabartty, S. (2020). A self-powered analog sensor-data-logging device based on Fowler-Nordheim dynamical systems. Nature Communications, 11(1), 5446. https://doi.org/10.1038/s41467-020-19292-w

 

Zhou, L., Kondapalli, S. H., Aono, K., & Chakrabartty, S. (2019). Desynchronization of Self-Powered FN Tunneling Timers for Trust Verification of IoT Supply Chain. IEEE Internet of Things Journal, 6(4), 6537–6547. https://doi.org/10.1109/JIOT.2019.2907930

 

Aono, K., Hasni, H., Pochettino, O., Lajnef, N., & Chakrabartty, S. (2019). Quasi-Self-Powered Piezo-Floating-Gate Sensing Technology for Continuous Monitoring of Large-Scale Bridges. Frontiers in Built Environment, 5, 29. https://doi.org/10.3389/fbuil.2019.00029

 

Afifi, M. H., Zhou, L., Chakrabartty, S., & Ren, J. (2018). Dynamic Authentication Protocol Using Self-Powered Timers for Passive Internet of Things. IEEE Internet of Things Journal, 5(4), 2927–2935. https://doi.org/10.1109/JIOT.2017.2757918

 

Zhou, L., Aono, K., & Chakrabartty, S. (2018). A CMOS Timer-Injector Integrated Circuit for Self-Powered Sensing of Time-of-Occurrence. IEEE Journal of Solid-State Circuits, 53(5), 1539–1549. https://doi.org/10.1109/JSSC.2018.2793531

 

Hasni, H., Alavi, A. H., Jiao, P., Lajnef, N., Chatti, K., Aono, K., & Chakrabartty, S. (2017). A new approach for damage detection in asphalt concrete pavements using battery-free wireless sensors with non-constant injection rates. Measurement, 110, 217–229. https://doi.org/10.1016/j.measurement.2017.06.035

 

Hasni, H., Alavi, A. H., Lajnef, N., Abdelbarr, M., Masri, S. F., & Chakrabartty, S. (2017). Self-powered piezo-floating-gate sensors for health monitoring of steel plates. Engineering Structures, 148, 584–601. https://doi.org/10.1016/j.engstruct.2017.06.063

 

Zhou, L., & Chakrabartty, S. (2017). Linearization of CMOS Hot-Electron Injectors for Self-Powered Monitoring of Biomechanical Strain Variations. IEEE Transactions on Biomedical Circuits and Systems, 11(2), 446–454. https://doi.org/10.1109/TBCAS.2016.2605444

 

Das, S., Salehi, H., Shi, Y., Chakrabartty, S., Burgueno, R., & Biswas, S. (2017). Towards packet-less ultrasonic sensor networks for energy-harvesting structures. Computer Communications, 101, 94–105. https://doi.org/10.1016/j.comcom.2016.11.001

 

Zhou, L., & Chakrabartty, S. (2017). Self-Powered Timekeeping and Synchronization Using Fowler–Nordheim Tunneling-Based Floating-Gate Integrators. IEEE Transactions on Electron Devices, 64(3), 1254–1260. https://doi.org/10.1109/TED.2016.2645379

 

Zhou, L., Abraham, A. C., Tang, S. Y., & Chakrabartty, S. (2016). A 5 nW Quasi-Linear CMOS Hot-Electron Injector for Self-Powered Monitoring of Biomechanical Strain Variations. IEEE Transactions on Biomedical Circuits and Systems, 10(6), 1143–1151. https://doi.org/10.1109/TBCAS.2016.2523992

 

Yuan, M., Liu, K., Singamaneni, S., & Chakrabartty, S. (2016). Self-Powered Forward Error-Correcting Biosensor Based on Integration of Paper-Based Microfluidics and Self-Assembled Quick Response Codes. IEEE Transactions on Biomedical Circuits and Systems, 10(5), 963–971. https://doi.org/10.1109/TBCAS.2016.2580156

 

Yuan, M., Alocilja, E. C., & Chakrabartty, S. (2016). Self-Powered Wireless Affinity-Based Biosensor Based on Integration of Paper-Based Microfluidics and Self-Assembled RFID Antennas. IEEE Transactions on Biomedical Circuits and Systems, 10(4), 799–806. https://doi.org/10.1109/TBCAS.2016.2535245

 

Borchani, W., Aono, K., Lajnef, N., & Chakrabartty, S. (2016). Monitoring of Postoperative Bone Healing Using Smart Trauma-Fixation Device With Integrated Self-Powered Piezo-Floating-Gate Sensors. IEEE Transactions on Biomedical Engineering, 63(7), 1463–1472. https://doi.org/10.1109/TBME.2015.2496237

 

Feng, T., Aono, K., Covassin, T., & Chakrabartty, S. (2015). Self-Powered Monitoring of Repeated Head Impacts Using Time-Dilation Energy Measurement Circuit. IEEE Transactions on Biomedical Circuits and Systems, 9(2), 217–226. https://doi.org/10.1109/TBCAS.2015.2403864

 

Lajnef, N., Borchani, W., Burgueno, R., & Chakrabartty, S. (2015). Self-Powered Piezo-Floating-Gate Smart-Gauges Based on Quasi-Static Mechanical Energy Concentrators and Triggers. IEEE Sensors Journal, 15(2), 676–683. https://doi.org/10.1109/JSEN.2014.2351398

 

Ming Gu, & Chakrabartty, S. (2014). Design of a Programmable Gain, Temperature Compensated Current-Input Current-Output CMOS Logarithmic Amplifier. IEEE Transactions on Biomedical Circuits and Systems, 8(3), 423–431. https://doi.org/10.1109/TBCAS.2013.2273617

 

Sarkar, P., & Chakrabartty, S. (2013). Compressive Self-Powering of Piezo-Floating-Gate Mechanical Impact Detectors. IEEE Transactions on Circuits and Systems I: Regular Papers, 60(9), 2311–2320. https://doi.org/10.1109/TCSI.2013.2245472

 

Sarkar, P., Huang, C., & Chakrabartty, S. (2013). An Ultra-Linear Piezo-Floating-Gate Strain-Gauge for Self-Powered Measurement of Quasi-Static-Strain. IEEE Transactions on Biomedical Circuits and Systems, 7(4), 437–450. https://doi.org/10.1109/TBCAS.2012.2220764

 

Huang, C., & Chakrabartty, S. (2012). An Asynchronous Analog Self-Powered CMOS Sensor-Data-Logger With a 13.56 MHz RF Programming Interface. IEEE Journal of Solid-State Circuits, 47(2), 476–489. https://doi.org/10.1109/JSSC.2011.2172159

 

Huang, C., Sarkar, P., & Chakrabartty, S. (2011). Rail-to-Rail, Linear Hot-Electron Injection Programming of Floating-Gate Voltage Bias Generators at 13-Bit Resolution. IEEE Journal of Solid-State Circuits, 46(11), 2685–2692. https://doi.org/10.1109/JSSC.2011.2167390

 

Huang, C., & Chakrabartty, S. (2011). Compact self-powered CMOS strain-rate monitoring circuit for piezoelectric energy scavengers. Electronics Letters, 47(4), 277. https://doi.org/10.1049/el.2010.3430

 

Chenling Huang, Lajnef, N., & Chakrabartty, S. (2010). Calibration and Characterization of Self-Powered Floating-Gate Usage Monitor With Single Electron per Second Operational Limit. IEEE Transactions on Circuits and Systems I: Regular Papers, 57(3), 556–567. https://doi.org/10.1109/TCSI.2009.2024976

 

Lajnef, N., Elvin, N. G., & Chakrabartty, S. (2008). A Piezo-Powered Floating-Gate Sensor Array for Long-Term Fatigue Monitoring in Biomechanical Implants. IEEE Transactions on Biomedical Circuits and Systems, 2(3), 164–172. https://doi.org/10.1109/TBCAS.2008.2001473

 

 

 

Afifi, M. H., Zhou, L., Chakrabartty, S., & Ren, J. (2018). HPMAP: A Hash-Based Privacy-Preserving Mutual Authentication Protocol for Passive IoT Devices Using Self-Powered Timers. 2018 IEEE International Conference on Communications (ICC), 1–6. https://doi.org/10.1109/ICC.2018.8423016

 

Alavi, A. H., Hasni, H., Jiao, P., Aono, K., Lajnef, N., & Chakrabartty, S. (2019). Self-charging and self-monitoring smart civil infrastructure systems: Current practice and future trends. In K.-W. Wang, H. Sohn, H. Huang, & J. P. Lynch (Eds.), Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019 (p. 34). SPIE. https://doi.org/10.1117/12.2513476

 

Alazzawi, Y., & Chakrabartty, S. (2017). Self-powered system-on-chip for substrate computing and ultrasonic communications. 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 671–674. https://doi.org/10.1109/MWSCAS.2017.8053012

 

Aono, K., Covassin, T., & Chakrabartty, S. (2014). Monitoring of repeated head impacts using time-dilation based self-powered sensing. 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 1620–1623. https://doi.org/10.1109/ISCAS.2014.6865461

 

Aono, K., Hasni, H., Pochettino, O., Lajnef, N., & Chakrabartty, S. (2018). Quasi-self-powered Infrastructural Internet of Things: The Mackinac Bridge Case Study. Proceedings of the 2018 on Great Lakes Symposium on VLSI, 335–340. https://doi.org/10.1145/3194554.3194622

 

Aono, K., Lajnef, N., Faridazar, F., & Chakrabartty, S. (2016). Infrastructural health monitoring using self-powered Internet-of-Things. 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2058–2061. https://doi.org/10.1109/ISCAS.2016.7538983

 

Chakrabartty, S. (2010). Multiple-input multiple-output (MIMO) analog-to-feature converter chipsets for sub-wavelength acoustic source localization and bearing estimation (E. M. Carapezza, Ed.; p. 766628). https://doi.org/10.1117/12.852671

 

Chakrabartty, S., Feng, T., & Aono, K. (2013). Gen-2 RFID compatible, zero down-time, programmable mechanical strain-monitors and mechanical impact detectors (J. P. Lynch, C.-B. Yun, & K.-W. Wang, Eds.; p. 86921A). https://doi.org/10.1117/12.2011956

 

Chakrabartty, S., & Lajnef, N. (2009). Infrasonic power-harvesting and nanowatt self-powered sensors. 2009 IEEE International Symposium on Circuits and Systems, 157–160. https://doi.org/10.1109/ISCAS.2009.5117709

 

Chakrabartty, S., & Liu, Y. (2008). Towards reliable multi-pathogen biosensors using high-dimensional encoding and decoding techniques (M. Razeghi & H. Mohseni, Eds.; p. 703514). https://doi.org/10.1117/12.799358

 

Chenling Huang, & Chakrabartty, S. (2008). Self-powered CMOS impact-rate monitors for biomechanical implants. 2008 IEEE Biomedical Circuits and Systems Conference, 385–388. https://doi.org/10.1109/BIOCAS.2008.4696955

 

Elvin, N., Lajnef, N., Chakrabartty, S., & Elvin, A. (2007). A sub-microwatt self-powered fatigue sensor (M. Tomizuka, C.-B. Yun, & V. Giurgiutiu, Eds.; p. 652914). https://doi.org/10.1117/12.715419

 

Hindo, T., & Chakrabartty, S. (2012). Noise-exploitation and adaptation in neuromorphic sensors (A. Lakhtakia, Ed.; p. 833905). https://doi.org/10.1117/12.920189

 

Huang, C., & Chakrabartty, S. (2011). A hybrid energy scavenging sensor for long-term mechanical strain monitoring. 2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2473–2476. https://doi.org/10.1109/ISCAS.2011.5938105

 

Huang, C., & Chakrabartty, S. (2011). A miniature batteryless health and usage monitoring system based on hybrid energy harvesting (M. Tomizuka, Ed.; p. 798142). https://doi.org/10.1117/12.881494

 

Huang, C., Lajnef, N., & Chakrabartty, S. (2010). Infrasonic energy harvesting for embedded structural health monitoring micro-sensors (M. Tomizuka, Ed.; p. 764746). https://doi.org/10.1117/12.847328

 

Kondapalli, S. H., Zhou, L., Aono, K., & Chakrabartty, S. (2019). Long-term, Time-synchronized Temperature Monitoring using Self-Powered CMOS Timers. 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS), 856–859. https://doi.org/10.1109/MWSCAS.2019.8884874

 

Lajnef, N., Burgueno, R., Borchani, W., & Chakrabartty, S. (2014). Sub-Hz self-powered sensing based on mechanical-buckling driven hot-electron injection. 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 670–673. https://doi.org/10.1109/ISCAS.2014.6865224

 

Lajnef, N., Chakrabartty, S., Burgueño, R., & Borchani, W. (2014). Quasi-static self-powered sensing and data logging (J. P. Lynch, K.-W. Wang, & H. Sohn, Eds.; p. 90611V). https://doi.org/10.1117/12.2045113

 

Lajnef, N., Chakrabartty, S., Elvin, N., & Elvin, A. (2006). A sub-microwatt piezo-floating-gate sensor for long-term fatigue monitoring in biomechanical implants. 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 5936–5939. https://doi.org/10.1109/IEMBS.2006.260580

 

Lajnef, N., Chakrabartty, S., & Elvin, N. G. (2008). Calibration and characterization of self-powered floating-gate sensor arrays for long-term fatigue monitoring. 2008 IEEE International Symposium on Circuits and Systems, 1096–1099. https://doi.org/10.1109/ISCAS.2008.4541613

 

Liang Zhou, Sarkar, P., & Chakrabartty, S. (2013). Scavenging thermal-noise energy for implementing long-term self-powered CMOS timers. 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2203–2206. https://doi.org/10.1109/ISCAS.2013.6572313

 

Mehta, D., Zhou, L., Aono, K., & Chakrabartty, S. (2018). Self-powered Sensing and Time-Stamping of Tampering Events. 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 968–971. https://doi.org/10.1109/MWSCAS.2018.8623916

 

Sarkar, P., & Chakrabartty, S. (2013). A compressive piezoelectric front-end circuit for self-powered mechanical impact detectors. 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2207–2210. https://doi.org/10.1109/ISCAS.2013.6572314

 

Sarkar, P., Huang, C., & Chakrabartty, S. (2012). A self-powered static-strain sensor based on differential linear piezo-floating-gate injectors. 2012 IEEE International Symposium on Circuits and Systems, 1167–1170. https://doi.org/10.1109/ISCAS.2012.6271440

 

Yuan, M., Alocilja, E. C., & Chakrabartty, S. (2015). Self-powered wireless biosensing based on integration of paper-based microfluidics with self-assembling RFID antennas. 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1–4. https://doi.org/10.1109/BioCAS.2015.7348388

 

Zhou, L., Abraham, A. C., Tang, S. Y., & Chakrabartty, S. (2016). Approaching the limits of piezoelectricity driven hot-electron injection for self-powered in vivo monitoring of micro-strain variations. 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 1810–1813. https://doi.org/10.1109/ISCAS.2016.7538921

 

Zhou, L., Aono, K., & Chakrabartty, S. (2018). Gaussian Process Regression for Improving the Performance of Self-powered Time-of-Occurrence Sensors. 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 996–999. https://doi.org/10.1109/MWSCAS.2018.8624046

 

Zhou, L., & Chakrabartty, S. (2017). Secure dynamic authentication of passive assets and passive IoTs using self-powered timers. 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1–4. https://doi.org/10.1109/ISCAS.2017.8050842

 

Zhou, L., & Chakrabartty, S. (2017). Self-powered continuous time-temperature monitoring for cold-chain management. 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 879–882. https://doi.org/10.1109/MWSCAS.2017.8053064

 

Zhou, L., & Chakrabartty, S. (2016). Self-powered sensing and time-stamping of rare events using CMOS Fowler-Nordheim tunneling timers. 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2839–2842. https://doi.org/10.1109/ISCAS.2016.7539184

 

 

Analog for Machine Learning

 

Chatterjee, O., & Chakrabartty, S. (2021). Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems. IEEE Transactions on Neural Networks and Learning Systems, 32(3), 1289–1303. https://doi.org/10.1109/TNNLS.2020.2984267

 

Nair, A. R., Chakrabartty, S., & Thakur, C. S. (2021). In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers. IEEE Internet of Things Journal, 1–1. https://doi.org/10.1109/JIOT.2021.3109739

 

Chatterjee, O., & Chakrabartty, S. (2018). Decentralized Global Optimization Based on a Growth Transform Dynamical System Model. IEEE Transactions on Neural Networks and Learning Systems, 29(12), 6052–6061. https://doi.org/10.1109/TNNLS.2018.2817367

 

Kondapalli, S. H., Zhang, X., & chakrabartty, S. (2018). Energy-Dissipation Limits in Variance-Based Computing. Fluctuation and Noise Letters, 17(02), 1850013. https://doi.org/10.1142/S021947751850013X

 

Gangopadhyay, A., Chatterjee, O., & Chakrabartty, S. (2018). Extended Polynomial Growth Transforms for Design and Training of Generalized Support Vector Machines. IEEE Transactions on Neural Networks and Learning Systems, 29(5), 1961–1974. https://doi.org/10.1109/TNNLS.2017.2690434

 

Khan, H. A., Gore, A., Ashe, J., & Chakrabartty, S. (2017). Virtual Spirometry and Activity Monitoring Using Multichannel Electrical Impedance Plethysmographs in Ambulatory Settings. IEEE Transactions on Biomedical Circuits and Systems, 11(4), 832–848. https://doi.org/10.1109/TBCAS.2017.2688339

 

Ming Gu, & Chakrabartty, S. (2014). Design of a Programmable Gain, Temperature Compensated Current-Input Current-Output CMOS Logarithmic Amplifier. IEEE Transactions on Biomedical Circuits and Systems, 8(3), 423–431. https://doi.org/10.1109/TBCAS.2013.2273617

 

Chakrabartty, S., Shaga, R. K., & Aono, K. (2013). Noise-Shaping Gradient Descent-Based Online Adaptation Algorithms for Digital Calibration of Analog Circuits. IEEE Transactions on Neural Networks and Learning Systems, 24(4), 554–565. https://doi.org/10.1109/TNNLS.2012.2236572

 

Gu, M., & Chakrabartty, S. (2012). Subthreshold, Varactor-Driven CMOS Floating-Gate Current Memory Array With Less Than 150-ppm/$^{\circ}$K Temperature Sensitivity. IEEE Journal of Solid-State Circuits, 47(11), 2846–2856. https://doi.org/10.1109/JSSC.2012.2214911

 

Fazel, A., & Chakrabartty, S. (2012). Sparse Auditory Reproducing Kernel (SPARK) Features for Noise-Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 20(4), 1362–1371. https://doi.org/10.1109/TASL.2011.2179294

 

Gu, M., & Chakrabartty, S. (2012). Synthesis of Bias-Scalable CMOS Analog Computational Circuits Using Margin Propagation. IEEE Transactions on Circuits and Systems I: Regular Papers, 59(2), 243–254. https://doi.org/10.1109/TCSI.2011.2163968

 

Huang, C., Sarkar, P., & Chakrabartty, S. (2011). Rail-to-Rail, Linear Hot-Electron Injection Programming of Floating-Gate Voltage Bias Generators at 13-Bit Resolution. IEEE Journal of Solid-State Circuits, 46(11), 2685–2692. https://doi.org/10.1109/JSSC.2011.2167390

 

Gu, M., & Chakrabartty, S. (2011). A 100 pJ/bit, (32,8) CMOS Analog Low-Density Parity-Check Decoder Based on Margin Propagation. IEEE Journal of Solid-State Circuits, 46(6), 1433–1442. https://doi.org/10.1109/JSSC.2011.2134550

 

Fazel, A., Gore, A., & Chakrabartty, S. (2010). Resolution Enhancement in $\Sigma\Delta$ Learners for Superresolution Source Separation. IEEE Transactions on Signal Processing, 58(3), 1193–1204. https://doi.org/10.1109/TSP.2009.2034909

 

Gore, A., & Chakrabartty, S. (2010). A Min–Max Optimization Framework for Designing $\Sigma\Delta$ Learners: Theory and Hardware. IEEE Transactions on Circuits and Systems I: Regular Papers, 57(3), 604–617. https://doi.org/10.1109/TCSI.2009.2025002

 

Chakrabartty, S., & Cauwenberghs, G. (2007). Gini-Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression. J. Mach. Learn. Res., 8, 813–839.

 

Chakrabartty, S., & Cauwenberghs, G. (2007). Sub-Microwatt Analog VLSI Trainable Pattern Classifier. IEEE Journal of Solid-State Circuits, 42(5), 1169–1179. https://doi.org/10.1109/JSSC.2007.894803

 

Zuo, Y., Chakrabartty, S., Muhammad-Tahir, Z., Pal, S., & Alocilja, E. C. (2006). Spatio-Temporal Processing for Multichannel Biosensors Using Support Vector Machines. IEEE Sensors Journal, 6(6), 1644–1651. https://doi.org/10.1109/JSEN.2006.884445

 

Chakrabartty, S., Yunbin Deng, & Cauwenberghs, G. (2004). Robust speech feature extraction by growth transformation in reproducing kernel Hilbert space. 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1, I-133–136. https://doi.org/10.1109/ICASSP.2004.1325940

 

 

Chakrabartty, S., & Cauwenberghs, G. (2002). Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition. In S.-W. Lee & A. Verri (Eds.), Pattern Recognition with Support Vector Machines (Vol. 2388, pp. 278–292). Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-45665-1_22

 

Chakrabartty, S., & Cauwenberghs, G. (2003). Expectation Maximization of Forward Decoding Kernel Machines. In C. M. Bishop & B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics (Vol. R4, pp. 65–71). PMLR. https://proceedings.mlr.press/r4/chakrabartty03a.html

 

Chakrabartty, S., & Cauwenberghs, G. (2005). Fixed-Current Method for Programming Large Floating-Gate Arrays. 2005 IEEE International Symposium on Circuits and Systems, 3934–3937. https://doi.org/10.1109/ISCAS.2005.1465491

 

Chakrabartty, S., & Cauwenberghs, G. (2002). Forward-Decoding Kernel-Based Phone Sequence Recognition. Proceedings of the 15th International Conference on Neural Information Processing Systems, 1189–1196.

 

Chakrabartty, S., & Cauwenberghs, G. (2002). Sequence estimation and channel equalization using forward decoding kernel machines. IEEE International Conference on Acoustics Speech and Signal Processing, III-2669-III–2672. https://doi.org/10.1109/ICASSP.2002.5745197

 

Chakrabartty, S., & Cauwenberghs, G. (2005). Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation. In L. Saul, Y. Weiss, & L. Bottou (Eds.), Advances in Neural Information Processing Systems (Vol. 17). MIT Press. https://proceedings.neurips.cc/paper/2004/file/60519c3dd22587d6de04d5f1e28bd41d-Paper.pdf

 

Chakrabartty, S., Singh, G., & Cauwenberghs, G. (2000). Hybrid support vector machine/hidden Markov model approach for continuous speech recognition. Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144), 2, 828–831. https://doi.org/10.1109/MWSCAS.2000.952883

 

Chakrabartty, S., Yagi, M., Shibata, T., & Cauwenberghs, G. (2003). Robust cephalometric landmark identification using support vector machines. 2003 International Conference on Multimedia and Expo. ICME ’03. Proceedings (Cat. No.03TH8698), III–429. https://doi.org/10.1109/ICME.2003.1221340

 

Chakrabartty, S., Yunbin Deng, & Cauwenberghs, G. (2004). Robust speech feature extraction by growth transformation in reproducing kernel Hilbert space. 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1, I-133–136. https://doi.org/10.1109/ICASSP.2004.1325940

 

Chenling Huang, & Chakrabartty, S. (2009). Reducing indirect programming mismatch due to oxide-traps using dual-channel floating-gate transistors. 2009 IEEE International Symposium on Circuits and Systems, 1783–1786. https://doi.org/10.1109/ISCAS.2009.5118122

 

Fazel, A., & Chakrabartty, S. (2009). Non-linear filtering in reproducing Kernel Hilbert Spaces for noise-robust speaker verification. 2009 IEEE International Symposium on Circuits and Systems, 113–116. https://doi.org/10.1109/ISCAS.2009.5117698

 

Gu, M., & Chakrabartty, S. (2014). A bias-scalable current-mode analog support vector machine based on margin propagation. 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 273–276. https://doi.org/10.1109/ISCAS.2014.6865118

 

Gu, M., & Chakrabartty, S. (2013). Bias-scalable inner-product approximation circuit using analog margin propagation. 2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS), 525–528. https://doi.org/10.1109/MWSCAS.2013.6674701

 

Huang, C., & Chakrabartty, S. (2010). A temperature compensated array of CMOS floating-gate analog memory. Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 109–112. https://doi.org/10.1109/ISCAS.2010.5536998

 

Kucher, P., & Chakrabartty, S. (2007). An Energy-Scalable Margin Propagation-Based Analog VLSI Support Vector Machine. 2007 IEEE International Symposium on Circuits and Systems, 1289–1292. https://doi.org/10.1109/ISCAS.2007.378407

 

Venkataramani, V., Chakrabartty, S., & Byrne, W. (2003). Support vector machines for segmental minimum Bayes risk decoding of continuous speech. 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721), 13–18. https://doi.org/10.1109/ASRU.2003.1318396

 

Zhou, L., & Chakrabartty, S. (2014). A 7-transistor-per-cell, high-density analog storage array with 500uV update accuracy and greater than 60dB linearity. 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 1572–1575. https://doi.org/10.1109/ISCAS.2014.6865449

 

Zhou, L., & Chakrabartty, S. (2015). A continuous-time varactor-based temperature compensation circuit for floating-gate multipliers and inner-product circuits. 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2513–2516. https://doi.org/10.1109/ISCAS.2015.7169196

 

 

Analog for Neuromorphic Systems

 

Gangopadhyay, A., & Chakrabartty, S. (2021). A Sparsity-Driven Backpropagation-Less Learning Framework Using Populations of Spiking Growth Transform Neurons. Frontiers in Neuroscience, 15, 715451. https://doi.org/10.3389/fnins.2021.715451

 

Chatterjee, O., & Chakrabartty, S. (2021). Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems. IEEE Transactions on Neural Networks and Learning Systems, 32(3), 1289–1303. https://doi.org/10.1109/TNNLS.2020.2984267

 

Gangopadhyay, A., Mehta, D., & Chakrabartty, S. (2020). A Spiking Neuron and Population Model Based on the Growth Transform Dynamical System. Frontiers in Neuroscience, 14, 425. https://doi.org/10.3389/fnins.2020.00425

 

Chatterjee, O., & Chakrabartty, S. (2018). Decentralized Global Optimization Based on a Growth Transform Dynamical System Model. IEEE Transactions on Neural Networks and Learning Systems, 29(12), 6052–6061. https://doi.org/10.1109/TNNLS.2018.2817367

 

Gangopadhyay, A., & Chakrabartty, S. (2018). Spiking, Bursting, and Population Dynamics in a Network of Growth Transform Neurons. IEEE Transactions on Neural Networks and Learning Systems, 29(6), 2379–2391. https://doi.org/10.1109/TNNLS.2017.2695171

 

Kondapalli, S. H., Zhang, X., & chakrabartty, S. (2018). Energy-Dissipation Limits in Variance-Based Computing. Fluctuation and Noise Letters, 17(02), 1850013. https://doi.org/10.1142/S021947751850013X

 

Aono, K., Shaga, R. K., & Chakrabartty, S. (2013). Exploiting Jump-Resonance Hysteresis in Silicon Auditory Front-Ends for Extracting Speaker Discriminative Formant Trajectories. IEEE Transactions on Biomedical Circuits and Systems, 7(4), 389–400. https://doi.org/10.1109/TBCAS.2012.2218104

 

Chakrabartty, S., Shaga, R. K., & Aono, K. (2013). Noise-Shaping Gradient Descent-Based Online Adaptation Algorithms for Digital Calibration of Analog Circuits. IEEE Transactions on Neural Networks and Learning Systems, 24(4), 554–565. https://doi.org/10.1109/TNNLS.2012.2236572

 

Fazel, A., & Chakrabartty, S. (2012). Sparse Auditory Reproducing Kernel (SPARK) Features for Noise-Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 20(4), 1362–1371. https://doi.org/10.1109/TASL.2011.2179294

 

Gore, A., Fazel, A., & Chakrabartty, S. (2010). Far-field acoustic source localization and bearing estimation using Σ Δ learners. IEEE Transactions on Circuits and Systems I: Regular Papers, 57(4), 783–792. https://doi.org/10.1109/TCSI.2009.2027627

 

Fazel, A., Gore, A., & Chakrabartty, S. (2010). Resolution Enhancement in $\Sigma\Delta$ Learners for Superresolution Source Separation. IEEE Transactions on Signal Processing, 58(3), 1193–1204. https://doi.org/10.1109/TSP.2009.2034909

 

 

 

Aono, K., Shaga, R. K., & Chakrabartty, S. (2012). Exploiting jump-resonance hysteresis in silicon cochlea for formant trajectory encoding. 2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS), 85–88. https://doi.org/10.1109/MWSCAS.2012.6291963

 

Chakrabartty, S., & Gore, A. (2009). Sigma-delta analog to LPC feature converters for portable recognition interfaces. 2009 IEEE International Symposium on Circuits and Systems, 2673–2676. https://doi.org/10.1109/ISCAS.2009.5118352

 

Chakrabartty, S., & Liu, S.-C. (2010). Exploiting spike-based dynamics in a silicon cochlea for speaker identification. Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 513–516. https://doi.org/10.1109/ISCAS.2010.5537578

 

Fazel, A., & Chakrabartty, S. (2008). Sigma-delta learning for super-resolution independent component analysis. 2008 IEEE International Symposium on Circuits and Systems, 2997–3000. https://doi.org/10.1109/ISCAS.2008.4542088

 

Fazel, A., & Chakrabartty, S. (2008). Sigma-delta resolution enhancement for far-field acoustic source separation. 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 1917–1920. https://doi.org/10.1109/ICASSP.2008.4518010

 

Fazel, A., & Chakrabartty, S. (2011). Sparse kernel cepstral coefficients (SKCC): Inner-product based features for noise-robust speech recognition. 2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2401–2404. https://doi.org/10.1109/ISCAS.2011.5938087

 

Gangopadhyay, A., Chatterjee, O., & Chakrabartty, S. (2018). Continuous-time Optimization using Sub-threshold Current-mode Growth Transform Circuits. 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 246–249. https://doi.org/10.1109/MWSCAS.2018.8624043

 

Gore, A., & Chakrabartty, S. (2006). Large Margin Multi-Channel Analog-to-Digital Conversion with Applications to Neural Prosthesis. Proceedings of the 19th International Conference on Neural Information Processing Systems, 497–504.

 

Hindo, T., & Chakrabartty, S. (2012). Noise-exploitation and adaptation in neuromorphic sensors (A. Lakhtakia, Ed.; p. 833905). https://doi.org/10.1117/12.920189

 

Shaga, R. K., & Chakrabartty, S. (2012). Sigma-Delta gradient-descent learning for online real-time calibration of digitally-assisted analog circuits. 2012 IEEE International Symposium on Circuits and Systems, 2885–2888. https://doi.org/10.1109/ISCAS.2012.6271916

 

Vogelstein, R. J., Murari, K., Thakur, P. H., Diehl, C., Chakrabartty, S., & Cauwenberghs, G. (2004). Spike sorting with support vector machines. The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3, 546–549. https://doi.org/10.1109/IEMBS.2004.1403215

 

 

    Analog for Energy-Harvesting and Wireless Telemetry

     

    Kondapalli, S. H., & Chakrabartty, S. (2021). Sub-Nanowatt Ultrasonic Bio-Telemetry Using B-Scan Imaging. IEEE Open Journal of Engineering in Medicine and Biology, 2, 17–25. https://doi.org/10.1109/OJEMB.2021.3053174

     

    Alazzawi, Y., Chatterjee, O., & Chakrabartty, S. (2019). A compact and energy-efficient ultrasound receiver using PTAT reference circuit. Microelectronics Journal, 94, 104656. https://doi.org/10.1016/j.mejo.2019.104656

     

    Alazzawi, Y., Aono, K., Scheller, E. L., & Chakrabartty, S. (2019). Exploiting Self-Capacitances for Wireless Power Transfer. IEEE Transactions on Biomedical Circuits and Systems, 13(2), 425–434. https://doi.org/10.1109/TBCAS.2019.2900433

     

    Kondapalli, S. H., Alazzawi, Y., Malinowski, M., Timek, T., & Chakrabartty, S. (2018). Feasibility of Self-Powering and Energy Harvesting Using Cardiac Valvular Perturbations. IEEE Transactions on Biomedical Circuits and Systems, 12(6), 1392–1400. https://doi.org/10.1109/TBCAS.2018.2865405

     

    Kondapalli, S. H., Alazzawi, Y., Malinowski, M., Timek, T., & Chakrabartty, S. (2018). Multiaccess In Vivo Biotelemetry Using Sonomicrometry and M-Scan Ultrasound Imaging. IEEE Transactions on Biomedical Engineering, 65(1), 149–158. https://doi.org/10.1109/TBME.2017.2697998

     

    Feng, T., Lajnef, N., & Chakrabartty, S. (2016). Design of a CMOS System-on-Chip for Passive, Near-Field Ultrasonic Energy Harvesting and Back-Telemetry. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 24(2), 544–554. https://doi.org/10.1109/TVLSI.2015.2401037

     

    Nguyen, T. T., Feng, T., Hafliger, P., & Chakrabartty, S. (2014). Hybrid CMOS Rectifier Based on Synergistic RF-Piezoelectric Energy Scavenging. IEEE Transactions on Circuits and Systems I: Regular Papers, 61(12), 3330–3338. https://doi.org/10.1109/TCSI.2014.2334972

     

     

    Alazzawi, Y., & Chakrabartty, S. (2016). Design of CMOS telemetry circuits for in-vivo wireless sonomicrometry. 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2022–2025. https://doi.org/10.1109/ISCAS.2016.7538974

     

    Alazzawi, Y., Qian, C., & Chakrabartty, S. (2015). Feasibility of non-contact ultrasound generation using implanted metallic surfaces as electromagnetic acoustic transducers. 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1–4. https://doi.org/10.1109/BioCAS.2015.7348447

     

    Chakrabartty, S. (2006). CMOS Analog Iterative Decoders Using Margin Propagation Circuits. 2006 IEEE International Symposium on Circuits and Systems, 5003–5006. https://doi.org/10.1109/ISCAS.2006.1693755

     

    Chakrabartty, S., & Cauwenberghs, G. (2003). Power dissipation limits and large margin in wireless sensors. Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS ’03., 4, IV-832-IV–835. https://doi.org/10.1109/ISCAS.2003.1206349

     

    Chakrabartty, S., Feng, T., & Aono, K. (2013). Gen-2 RFID compatible, zero down-time, programmable mechanical strain-monitors and mechanical impact detectors (J. P. Lynch, C.-B. Yun, & K.-W. Wang, Eds.; p. 86921A). https://doi.org/10.1117/12.2011956

     

    Fang, B., Feng, T., Zhang, M., & Chakrabartty, S. (2015). Feasibility of B-mode diagnostic ultrasonic energy transfer and telemetry to a cm2 sized deep-tissue implant. 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 782–785. https://doi.org/10.1109/ISCAS.2015.7168750

     

    Feng, T., & Chakrabartty, S. (2012). Analysis and design of high efficiency inductive power-links using a novel matching strategy. 2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS), 1172–1175. https://doi.org/10.1109/MWSCAS.2012.6292234

     

    Gore, A., & Chakrabartty, S. (2005). Online calibration of floating gate detectors for RFID sensors. 48th Midwest Symposium on Circuits and Systems, 2005., 87-90 Vol. 1. https://doi.org/10.1109/MWSCAS.2005.1594046

     

    Gu, M., & Chakrabartty, S. (2011). An adaptive analog low-density parity-check decoder based on margin propagation. 2011 IEEE International Symposium of Circuits and Systems (ISCAS), 1315–1318. https://doi.org/10.1109/ISCAS.2011.5937813

     

    Gu, M., Misra, K., Radha, H., & Chakrabartty, S. (2009). Sparse Decoding of Low Density Parity Check Codes Using Margin Propagation. GLOBECOM 2009 – 2009 IEEE Global Telecommunications Conference, 1–6. https://doi.org/10.1109/GLOCOM.2009.5425585

     

    Huang, C., & Chakrabartty, S. (2008). Low-threshold voltage multipliers based on floating-gate charge-pumps. 2008 IEEE Biomedical Circuits and Systems Conference, 205–208. https://doi.org/10.1109/BIOCAS.2008.4696910

     

    Kondapalli, S. H., Pochettino, O., Aono, K., & Chakrabartty, S. (2018). Hybrid-Powered Internet-of-Things for Infrastructure-to-Vehicle Communication. 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 1000–1003. https://doi.org/10.1109/MWSCAS.2018.8623840

     

    Lajnef, N., Chakrabartty, S., Elvin, N., & Elvin, A. (2007). Piezo-powered floating gate injector for self-powered fatigue monitoring in biomechanical implants. 2007 IEEE International Symposium on Circuits and Systems, 89–92. https://doi.org/10.1109/ISCAS.2007.378189

     

    Pochettino, O., Kondapalli, S. H., Aono, K., & Chakrabartty, S. (2019). Real-time Infrastructure-to-Vehicle Communication using RF-Triggered Wireless Sensors. 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS), 556–559. https://doi.org/10.1109/MWSCAS.2019.8885087

     

    Scheid, B., & Chakrabartty, S. (2017). Feasibility of hybrid ultrasound-electrical nerve stimulation for electroceuticals. 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1–4. https://doi.org/10.1109/ISCAS.2017.8050555

     

     

    Analog for Biosensing

     

    Gupta, R., Luan, J., Chakrabartty, S., Scheller, E. L., Morrissey, J., & Singamaneni, S. (2020). Refreshable Nanobiosensor Based on Organosilica Encapsulation of Biorecognition Elements. ACS Applied Materials & Interfaces, 12(5), 5420–5428. https://doi.org/10.1021/acsami.9b17506

     

    Yuan, M., Jiang, Q., Liu, K.-K., Singamaneni, S., & Chakrabartty, S. (2018). Towards an Integrated QR Code Biosensor: Light-Driven Sample Acquisition and Bacterial Cellulose Paper Substrate. IEEE Transactions on Biomedical Circuits and Systems, 12(3), 452–460. https://doi.org/10.1109/TBCAS.2018.2801566

     

    Yuan, M., Liu, K., Singamaneni, S., & Chakrabartty, S. (2016). Self-Powered Forward Error-Correcting Biosensor Based on Integration of Paper-Based Microfluidics and Self-Assembled Quick Response Codes. IEEE Transactions on Biomedical Circuits and Systems, 10(5), 963–971. https://doi.org/10.1109/TBCAS.2016.2580156

     

    Yuan, M., Alocilja, E. C., & Chakrabartty, S. (2016). Self-Powered Wireless Affinity-Based Biosensor Based on Integration of Paper-Based Microfluidics and Self-Assembled RFID Antennas. IEEE Transactions on Biomedical Circuits and Systems, 10(4), 799–806. https://doi.org/10.1109/TBCAS.2016.2535245

     

    Yuan, M., Chahal, P., Alocilja, E. C., & Chakrabartty, S. (2015). Wireless Biosensing Using Silver-Enhancement Based Self-Assembled Antennas in Passive Radio Frequency Identification (RFID) Tags. IEEE Sensors Journal, 15(8), 4442–4450. https://doi.org/10.1109/JSEN.2015.2420852

     

    Khan, H. A., & Chakrabartty, S. (2015). On the Channel Capacity of High-Throughput Proteomic Microarrays. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 1(1), 50–61. https://doi.org/10.1109/TMBMC.2015.2465516

     

    Yuan, M., Alocilja, E. C., & Chakrabartty, S. (2014). A Novel Biosensor Based on Silver-Enhanced Self-Assembled Radio-Frequency Antennas. IEEE Sensors Journal, 14(4), 941–942. https://doi.org/10.1109/JSEN.2013.2296155

     

    Ming Gu, & Chakrabartty, S. (2013). FAST: A Framework for Simulation and Analysis of Large-Scale Protein-Silicon Biosensor Circuits. IEEE Transactions on Biomedical Circuits and Systems, 7(4), 451–459. https://doi.org/10.1109/TBCAS.2012.2222403

     

    Liu, Y., Gu, M., Alocilja, E. C., & Chakrabartty, S. (2010). Co-detection: Ultra-reliable nanoparticle-based electrical detection of biomolecules in the presence of large background interference. Biosensors and Bioelectronics, 26(3), 1087–1092. https://doi.org/10.1016/j.bios.2010.08.067

     

    Liu, Y., Zhang, D., Alocilja, E. C., & Chakrabartty, S. (2010). Biomolecules Detection Using a Silver-Enhanced Gold Nanoparticle-Based Biochip. Nanoscale Research Letters, 5(3), 533–538. https://doi.org/10.1007/s11671-010-9542-0

     

    Liu, Y., & Chakrabartty, S. (2009). Factor Graph-Based Biomolecular Circuit Analysis for Designing Forward Error Correcting Biosensors. IEEE Transactions on Biomedical Circuits and Systems, 3(3), 150–159. https://doi.org/10.1109/TBCAS.2009.2014247

     

    Liu, Y., Chakrabartty, S., & Alocilja, E. C. (2007). Fundamental building blocks for molecular biowire based forward error-correcting biosensors. Nanotechnology, 18(42), 424017. https://doi.org/10.1088/0957-4484/18/42/424017

     

    Zuo, Y., Chakrabartty, S., Muhammad-Tahir, Z., Pal, S., & Alocilja, E. C. (2006). Spatio-Temporal Processing for Multichannel Biosensors Using Support Vector Machines. IEEE Sensors Journal, 6(6), 1644–1651. https://doi.org/10.1109/JSEN.2006.884445

     

     

    Gu, M., Liu, Y., & Chakrabartty, S. (2010). FAST: A simulation framework for solving large-scale probabilistic inverse problems in nano-biomolecular circuits. Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 3160–3163. https://doi.org/10.1109/ISCAS.2010.5537953

     

    Liu, Y., Alocilja, E., & Chakrabartty, S. (2008). Forward error correcting biosensors: Modeling, algorithms and fabrication. 2008 IEEE Biomedical Circuits and Systems Conference, 249–252. https://doi.org/10.1109/BIOCAS.2008.4696921

     

    Liu, Y., Gore, A., Chakrabartty, S., & Alocilja, E. (2007). A Molecular bio-wire based multi-array biosensor with integrated potentiostat. 2007 IEEE Biomedical Circuits and Systems Conference, 29–32. https://doi.org/10.1109/BIOCAS.2007.4463301

     

    Liu, Y., Gore, A., Chakrabartty, S., & Alocilja, E. (2007). A Molecular bio-wire based multi-array biosensor with integrated potentiostat. 2007 IEEE Biomedical Circuits and Systems Conference, 29–32. https://doi.org/10.1109/BIOCAS.2007.4463301

     

    Yang Liu, Alocilja, E., & Chakrabartty, S. (2009). Exploiting Sub-threshold and above-threshold characteristics in a silver-enhanced gold nanoparticle based biochip. 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3810–3813. https://doi.org/10.1109/IEMBS.2009.5335200

     

    Yang Liu, & Chakrabartty, S. (2008). Computer aided simulation and verification of forward error-correcting biosensors. 2008 IEEE International Symposium on Circuits and Systems, 1826–1829. https://doi.org/10.1109/ISCAS.2008.4541795

     

    Yang Liu, Chakrabartty, S., & Alocilja, E. C. (2008). A multiplexed biosensor based on biomolecular nanowires. 2008 IEEE International Symposium on Circuits and Systems, 2006–2009. https://doi.org/10.1109/ISCAS.2008.4541840

     

    Yang Liu, Deng Zhang, Alocilja, E., & Chakrabartty, S. (2009). Design and characterization of a silver-enhanced gold nanoparticle-based biochip. 2009 IEEE International Symposium on Circuits and Systems, 2433–2436. https://doi.org/10.1109/ISCAS.2009.5118292

     

    Yuan, M., Chahal, P., Alocilja, E. C., & Chakrabartty, S. (2015). Sensing by growing antennas: A novel approach for designing passive RFID based biosensors. 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2121–2124. https://doi.org/10.1109/ISCAS.2015.7169098

     

    Yuan, M., Liu, K., Singamaneni, S., & Chakrabartty, S. (2017). Analyte sampling in paper biosensors powered by graphite-based light absorption. 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1–4. https://doi.org/10.1109/ISCAS.2017.8050686

     

     

    Analog for Biomedical Instrumentation

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    Barri, K., Zhang, Q., Mehta, D., Chakrabartty, S., Debski, R., & Alavi, A. H. (2021). Studying the Feasibility of Postoperative Monitoring of Spinal Fusion Progress Using a Self-powered Fowler-Nordheim Sensor-Data-Logger. IEEE Transactions on Biomedical Engineering, 1–1. https://doi.org/10.1109/TBME.2021.3103776

     

    Kondapalli, S. H., & Chakrabartty, S. (2021). Sub-Nanowatt Ultrasonic Bio-Telemetry Using B-Scan Imaging. IEEE Open Journal of Engineering in Medicine and Biology, 2, 17–25. https://doi.org/10.1109/OJEMB.2021.3053174

     

    Saha, D., Mehta, D., Altan, E., Chandak, R., Traner, M., Lo, R., Gupta, P., Singamaneni, S., Chakrabartty, S., & Raman, B. (2020). Explosive sensing with insect-based biorobots. Biosensors and Bioelectronics: X, 6, 100050. https://doi.org/10.1016/j.biosx.2020.100050

     

    Alazzawi, Y., Chatterjee, O., & Chakrabartty, S. (2019). A compact and energy-efficient ultrasound receiver using PTAT reference circuit. Microelectronics Journal, 94, 104656. https://doi.org/10.1016/j.mejo.2019.104656

     

    Alazzawi, Y., Aono, K., Scheller, E. L., & Chakrabartty, S. (2019). Exploiting Self-Capacitances for Wireless Power Transfer. IEEE Transactions on Biomedical Circuits and Systems, 13(2), 425–434. https://doi.org/10.1109/TBCAS.2019.2900433

     

    Kondapalli, S. H., Alazzawi, Y., Malinowski, M., Timek, T., & Chakrabartty, S. (2018). Feasibility of Self-Powering and Energy Harvesting Using Cardiac Valvular Perturbations. IEEE Transactions on Biomedical Circuits and Systems, 12(6), 1392–1400. https://doi.org/10.1109/TBCAS.2018.2865405

     

    Kondapalli, S. H., Alazzawi, Y., Malinowski, M., Timek, T., & Chakrabartty, S. (2018). Multiaccess In Vivo Biotelemetry Using Sonomicrometry and M-Scan Ultrasound Imaging. IEEE Transactions on Biomedical Engineering, 65(1), 149–158. https://doi.org/10.1109/TBME.2017.2697998

     

    Khan, H. A., Gore, A., Ashe, J., & Chakrabartty, S. (2017). Virtual Spirometry and Activity Monitoring Using Multichannel Electrical Impedance Plethysmographs in Ambulatory Settings. IEEE Transactions on Biomedical Circuits and Systems, 11(4), 832–848. https://doi.org/10.1109/TBCAS.2017.2688339

     

    Borchani, W., Aono, K., Lajnef, N., & Chakrabartty, S. (2016). Monitoring of Postoperative Bone Healing Using Smart Trauma-Fixation Device With Integrated Self-Powered Piezo-Floating-Gate Sensors. IEEE Transactions on Biomedical Engineering, 63(7), 1463–1472. https://doi.org/10.1109/TBME.2015.2496237

     

    Feng, T., Lajnef, N., & Chakrabartty, S. (2016). Design of a CMOS System-on-Chip for Passive, Near-Field Ultrasonic Energy Harvesting and Back-Telemetry. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 24(2), 544–554. https://doi.org/10.1109/TVLSI.2015.2401037

     

    Feng, T., Aono, K., Covassin, T., & Chakrabartty, S. (2015). Self-Powered Monitoring of Repeated Head Impacts Using Time-Dilation Energy Measurement Circuit. IEEE Transactions on Biomedical Circuits and Systems, 9(2), 217–226. https://doi.org/10.1109/TBCAS.2015.2403864

     

    Lajnef, N., Borchani, W., Burgueno, R., & Chakrabartty, S. (2015). Self-Powered Piezo-Floating-Gate Smart-Gauges Based on Quasi-Static Mechanical Energy Concentrators and Triggers. IEEE Sensors Journal, 15(2), 676–683. https://doi.org/10.1109/JSEN.2014.2351398

     

    Nguyen, T. T., Feng, T., Hafliger, P., & Chakrabartty, S. (2014). Hybrid CMOS Rectifier Based on Synergistic RF-Piezoelectric Energy Scavenging. IEEE Transactions on Circuits and Systems I: Regular Papers, 61(12), 3330–3338. https://doi.org/10.1109/TCSI.2014.2334972

     

    Ming Gu, & Chakrabartty, S. (2014). Design of a Programmable Gain, Temperature Compensated Current-Input Current-Output CMOS Logarithmic Amplifier. IEEE Transactions on Biomedical Circuits and Systems, 8(3), 423–431. https://doi.org/10.1109/TBCAS.2013.2273617

     

    Aono, K., Shaga, R. K., & Chakrabartty, S. (2013). Exploiting Jump-Resonance Hysteresis in Silicon Auditory Front-Ends for Extracting Speaker Discriminative Formant Trajectories. IEEE Transactions on Biomedical Circuits and Systems, 7(4), 389–400. https://doi.org/10.1109/TBCAS.2012.2218104

     

    Huang, C., Sarkar, P., & Chakrabartty, S. (2011). Rail-to-Rail, Linear Hot-Electron Injection Programming of Floating-Gate Voltage Bias Generators at 13-Bit Resolution. IEEE Journal of Solid-State Circuits, 46(11), 2685–2692. https://doi.org/10.1109/JSSC.2011.2167390

     

    Huang, C., & Chakrabartty, S. (2011). Current-input current-output CMOS logarithmic amplifier based on translinear Ohm’s law. Electronics Letters, 47(7), 433. https://doi.org/10.1049/el.2011.0338

     

    Gore, A., Fazel, A., & Chakrabartty, S. (2010). Far-field acoustic source localization and bearing estimation using Σ Δ learners. IEEE Transactions on Circuits and Systems I: Regular Papers, 57(4), 783–792. https://doi.org/10.1109/TCSI.2009.2027627

     

    Gore, A., Chakrabartty, S., Pal, S., & Alocilja, E. C. (2006). A Multichannel Femtoampere-Sensitivity Potentiostat Array for Biosensing Applications. IEEE Transactions on Circuits and Systems I: Regular Papers, 53(11), 2357–2363. https://doi.org/10.1109/TCSI.2006.884432

     

     

     

    Chakrabartty, S. (2010). Multiple-input multiple-output (MIMO) analog-to-feature converter chipsets for sub-wavelength acoustic source localization and bearing estimation (E. M. Carapezza, Ed.; p. 766628). https://doi.org/10.1117/12.852671

     

    Chakrabartty, S., Gore, A., & Oweiss, K. G. (2006). An adaptive multiple-input multiple-output analog-to-digital converter for high density neuroprosthetic electrode arrays. 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 656–659. https://doi.org/10.1109/IEMBS.2006.259512

     

    Chakrabartty, S., Stanacevic, M., & Tran, T. D. (2000). Adaptive image database using wavelets. Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154), 2, 1856–1860. https://doi.org/10.1109/ACSSC.2000.911309

     

    Cheong Kun, Mason, A., & Chakrabartty, S. (2005). A Dynamic Reconfigurable A/D Converter for Sensor Applications. IEEE Sensors, 2005., 1221–1224. https://doi.org/10.1109/ICSENS.2005.1597926

     

    Chi, Y. M., Abbas, A., Chakrabartty, S., & Cauwenberghs, G. (2009). An Active Pixel CMOS separable transform image sensor. 2009 IEEE International Symposium on Circuits and Systems, 1281–1284. https://doi.org/10.1109/ISCAS.2009.5117997

     

    Gore, A., Chakrabartty, S., Pal, S., & Alocilja, E. (2006). A multi-channel femtoampere-sensitivity conductometric array for biosensing applications. 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 6489–6492. https://doi.org/10.1109/IEMBS.2006.260865

     

    Gu, M., & Chakrabartty, S. (2013). A 120dB input dynamic range, current-input current-output CMOS logarithmic amplifier with 230ppm/K temperature sensitivity. 2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS), 521–524. https://doi.org/10.1109/MWSCAS.2013.6674700

     

    Kucher, P., & Chakrabartty, S. (2006). An Adaptive CMOS Imager with Time-Based Compressive Active-Pixel Response. 2006 IEEE International Symposium on Circuits and Systems, 205–208. https://doi.org/10.1109/ISCAS.2006.1692558

     

    Liu, Y., Chakrabartty, S., Gkinosatis, D. S., Mohanty, A. K., & Lajnef, N. (2007). Multi-walled Carbon Nanotubes/Poly(L-lactide) Nanocomposite Strain Sensor for Biomechanical Implants. 2007 IEEE Biomedical Circuits and Systems Conference, 119–122. https://doi.org/10.1109/BIOCAS.2007.4463323

     

    Mehta, D., Altan, E., Chandak, R., Raman, B., & Chakrabartty, S. (2017). Behaving cyborg locusts for standoff chemical sensing. 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1–4. https://doi.org/10.1109/ISCAS.2017.8050610

     

    Pochettino, O., Mehta, D., Saha, D., Raman, B., Aono, K., & Chakrabartty, S. (2021). A Backpack Recording Platform for Neural Measurements in Ambulatory Insects. 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 911–915. https://doi.org/10.1109/MWSCAS47672.2021.9531790

     

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