PUBLICATIONS

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(By chronological order) or (By research themes)

Journal Papers

• • A. Gangopadhyay, S. Chakrabartty, A Sparsity-driven Backpropagation-less Learning Framework using Populations of Spiking Growth Transform Neurons. Frontiers in Neuroscience, 2021, doi: 10.3389/fnins.2021.715451.
  • L-W. Lo, J. Zhao, H. Wan, Y. Wang, S. Chakrabartty, C. Wang, An Inkjet-Printed PEDOT:PSS-Based Stretchable Conductor for Wearable Health Monitoring Device Applications, ACS Applied Materials & Interfaces 2021 13 (18), 21693-21702 DOI: 10.1021/acsami.1c00537.
  • S. Kondapalli, S. Chakrabartty, Sub-Nanowatt Ultrasonic Bio-Telemetry Using B-Scan Imaging, IEEE Open Journal of Engineering in Medicine and Biology, vol. 2, pp. 17-25, 2021. DOI: 10.1109/OJEMB.2021.3053174.
  • D. Mehta, K. Aono, S. Chakrabartty, A self-powered analog sensor-data-logging device based on Fowler-Nordheim dynamical systems. Nature Communications 11, 5446, 2020. https://doi.org/10.1038/s41467-020-19292-w
  • D. Saha, D. Mehta, E. Altan, R. Chandak, M. Traner, R. Lo, P. Gupta, S. Singamaneni, S. Chakrabartty, B. Raman, Explosive sensing with insect-based biorobots, Biosensors and Bioelectronics, 6 August 2020. https://doi.org/10.1016/j.biosx.2020.100050
  • O. Chatterjee, S. Chakrabartty, Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems, IEEE Transactions of Neural Networks and Learning Systems, 2020.
  • A. Gangopadhyay, D. Mehta, S. Chakrabartty, A Spiking Neuron and Population Model Based on the Growth Transform Dynamical System, Frontiers in Neuroscience, 12 May 2020 https://doi.org/10.3389/fnins.2020.00425.
  • R. Gupta, J. Luan, S. Chakrabartty, E.L. Scheller, J. Morrissey, S. Singamaneni, Refreshable Nanobiosensor Based on Organosilica Encapsulation of Biorecognition Elements. ACS applied materials & interfaces. 2020 12(5):5420-5428.
  • Y. Alazzawi, O. Chatterjee, S. Chakrabartty, A compact and energy-efficient ultrasound receiver using PTAT reference circuit, Microelectronics Journal Vol. 94, Dec. 2019.
  • K. Aono, H. Hasni, O. Pochettino, N. Lajnef, and S. Chakrabartty, “Quazi-Self-Powered Piezo-Floating-Gate Sensing Technology for continuous Monitoring of Large-Scale Bridges”, Frontiers in Built Environment, vol. 5, 2019.
  • L.Zhou, S. Kondapalli, K.Aono, and S. Chakrabartty, “ Desynchronization of self-Powered FN Tunneling Timers for Trust Verification of IoT Supply-Chain”, IEEE Internet-of-things Journal, 2019.
  • Y. Alazzawi, K. Aono, E.L. Scheller, and S. Chakrabartty, “Exploiting Self-Capacitances for Wireless Power Transfer”, IEEE Transactions on Biomedical Circuits and Systems, vol. 13, no: 2, pp. 425-434, 2019.
  • H. Salehi, S. Chakrabartty, S. Biswas, and R. Burgueno, “Localized damage identification in plate-like structures using self-powered sensor data: A pattern recognition Strategy”, Measurement, vol. 135, pp. 23-38 Mar. 2019.
  • O. Chatterjee, and S. Chakrabartty, “Global Optimization based on Growth Transform Dynamical System Model”, IEEE Transactions of Neural Networks and Learning Systems, 2018.
  • S. Kondapalli, Y. Alazzawi, M. Malinowski, T. Timek and S. Chakrabartty, “Feasibility of Self-Powering and Energy Harvesting using Cardiac Valvular Perturbations”, IEEE Transactions on Biomedical Circuits and Systems, vol. 12, no: 6, 2018.
  • M. Yuan, Q. Jiang, K-k Liu, S. Singamaneni, and S. Chakrabartty, “Towards an Integrated QR Code Biosensor: Light-Driven Sample Acquisition and Bacterial Cellulose Paper Substrate”, IEEE Transactions on Biomedical Circuits and Systems, vol. 12, no. 3, pp. 452-460, 2018.
  • L.Zhou, K.Aono, S. Chakrabartty, “A CMOS Timer-Injector Integrated Circuit for Self-powered Sensing of Time-of-Occurrence”, IEEE Journal of Solid-State Circuits, 2018. (PDF).
  • S. Kondapalli, X. Zhang, S. Chakrabartty, “Energy Dissipation Limits in Variance-based Computing”, Fluctuations and Noise Letters, 2018. (PDF).
  • M. H. Afifi, L. Zhou, S. Chakrabartty and J. Ren, “Dynamic Authentication Protocol using Self-powered Timers for Passive Internet of Things”, IEEE Internet of Things Journal, 2017 (PDF).
  • H. A. Khan, A. Gore, J. Ashe and S. Chakrabartty*, “ Virtual Spirometry and Activity Monitoring using Multi-channel Electrical Impedance Plethysmographs in Ambulatory Settings”, IEEE Transactions of Biomedical Circuits and Systems, 2017 (PDF).
  • H. Hasni, A.H. Alavi, N. Lajnef, M. Abdelbarr, S.F. Masri, S. Chakrabartty*, “Self-Powered Piezo-Floating-Gate Sensors for Health Monitoring of Steel Plates”, Engineering Structures, 2017 in press. DOI: 10.1016/j.engstruct.2017.06.063.
  • S. Kondapalli, Y. Alazzawi, M. Malinowski, T. Timek, S. Chakrabartty*, “Multi-access In- vivo Biotelemetry using Sonomicrometry and M-scan Ultrasound Imaging”, IEEE Transactions on Biomedical Engineering, 2017, DOI: 10.1109/TBME.2017.2697998 (PDF)
  • H. Hasni, A.H. Alavi, P. Jiao, N. Lajnef, K. Chatti, K. Aono, S. Chakrabartty, “A new approach for damage detection in asphalt concrete pavements using battery-free wireless sensors with non-constant injection rates”, Measurement, 2017, 10.1016/j.measurement.2017.06.035
  • A. Gangopadhyay, S. Chakrabartty*, “Spiking, Bursting and Population Dynamics in a Network of Growth Transform Neurons”, IEEE Transactions of Neural Networks and Learning Systems, 2017, DOI: 10.1109/TNNLS.2017.2695171. (PDF)
  • A. Gangopadhyay, O. Chatterjee, S. Chakrabartty*, “Extended Polynomial Growth Transforms for Design and Training of Generalized Support Vector Machines”, IEEE Transactions of Neural Networks and Learning Systems, 2017, DOI: 10.1109/TNNLS.2017.2690434. (PDF)
  • L. Zhou, S. Chakrabartty*, “ Self-Powered Timekeeping and Synchronization Using Fowler-Nordheim Tunneling-Based Floating-Gate Integrators”, IEEE Transactions on Electron Devices, vol. 64, no:3, pp.1254-1260, 2017. (PDF)
  • L. Zhou, S. Chakrabartty*, “Linearization of CMOS Hot-electron Injectors for Self-powered Monitoring of Biomechanical Strain Variations”, IEEE Transactions of Biomedical Circuits and Systems, vol 11, no:2, 2017. (PDF)
  • S Das, H Salehi, Y Shi, S Chakrabartty, R Burgueno, S Biswas, “Towards packet-less ultrasonic sensor networks for energy-harvesting structures”, Computer Communications 101, 94-105, 2016.
  • M. Yuan, K-K. Lu, S. Singamaneni, S. Chakrabartty*, “Self-powered Forward Error-correcting Biosensor based on Integration of Paper-based Microfluidics and Self- assembled Quick Response Codes”, IEEE Transactions of Biomedical Circuits and Systems, vol. 10, no:5, pp. 963-971, 2016. (PDF)
  • L. Zhou, A. Abraham, S. Tang, S. Chakrabartty*, “A 5nW Quasi-linear CMOS Hot-electron Injector for Self-powered Monitoring of Biomechanical Strain Variations”, IEEE Transactions of Biomedical Circuits and Systems, 2016, DOI: 10.1109/TBCAS.2016.2523992. (PDF)
  • M. Yuan, E.C. Alocilja, S.Chakrabartty*, Self-powered Wireless Affinity-based Biosensor based on Integration of Paper-based Microfluidics and Self-assembled RFID Antennas”, IEEE Transactions of Biomedical Circuits and Systems, 2016, DOI: 10.1109/TBCAS.2016.2535245. (PDF)
  • W. Borchani, K. Aono, N. Lajnef, S. Chakrabartty*, “Monitoring Of Post-Operative Bone Healing Using Smart Trauma-Fixation Device with Integrated Self-Powered Piezo- Floating-Gate Sensors”, IEEE Transactions on Biomedical Engineering, 2015, DOI: 10.1109/TBME.2015.2496237. (PDF)
  • H. Khan, S. Chakrabartty*, “On the Channel Capacity of High-Throughput Proteomic Microarrays”, IEEE Transactions on Molecular, Biological and Multi-Scale Communications, vol: 1, no: 1, 2015. (PDF)
  • M. Yuan, P. Chahal, E.C Alocilja, S. Chakrabartty*, “Wireless Biosensing Using Silver- Enhancement Based Self-assembled Antennas in Passive Radio Frequency Identification (RFID) Tags”, IEEE Sensors Journal, vol: 15, no: 8, pp. 4442-4450, 2015. (PDF)
  • T. Feng, K. Aono, T. Covassin, S. Chakrabartty*, “ Self-powered Monitoring of Repeated Head Impacts using Time-dilation Energy Measurement Circuit”, IEEE Transactions on Biomedical Circuits and Systems, vol:9, no:2, pp. 217-226, 2015. (PDF)
  • T. Feng*, N. Lajnef, S. Chakrabartty, “Design of a CMOS System-on-Chip for Passive, Near-field Ultrasonic Energy Harvesting and Back-telemetry”, IEEE Transactions on Very Large Scale Integration, 2015, DOI: 10.1109/TVLSI.2015.2401037. (PDF)
  • N. Lajnef, W. Borchani, R. Burgueno, S. Chakrabartty, “Self-powered Piezo-floating-gate Smart-gauges based on Quasi-static Mechanical Energy Concentrators and Triggers”, IEEE Sensors Journal, vol. 15, no: 2, pp.676-683, 2015. (PDF)
  • T. T. Nguyen, T. Feng, P. Häfliger, S. Chakrabartty, “Hybrid CMOS Rectifier based on Synergistic RF-Piezoelectric Energy Scavenging”, IEEE Transactions of Circuits and Systems II, vol. 61, no: 12, pp.3330-3338, 2014. (PDF)
  • M. Yuan, Alocilja E. C., S. Chakrabartty, “A Novel Biosensor based on Silver-enhanced Self-assembled Radio-frequency Antennas”, IEEE Sensors Letters, vol. 14, no: 4, pp. 941-942, 2014.
  • M. Gu, S. Chakrabartty, “Design of a Programmable Gain, Temperature Compensated Current-input Current-output CMOS Logarithmic Amplifier”, IEEE Transactions of Biomedical Circuits and Systems, vol.8, no: 3, pp.423-431, 2014. (PDF)
  • P. Sarkar, S. Chakrabartty, “Compressive Self-powering of Piezo-Floating-Gate Mechanical Impact Detectors”, IEEE Transactions of Circuits and Systems – I, vol. 60, no:9, 2013. (PDF)
  • S. Chakrabartty, R. Shaga, K. Aono, “Noise-shaping Gradient Descent based Online Adapation Algorithms for Digital Calibration of Analog Circuits”, IEEE Transactions of Neural Networks and Learning Systems, vol.24, no:4, 2013. (PDF)
  • P. Sarkar, C. Huang, S. Chakrabartty, “An Ultra-linear Piezo-Floating-Gate Strain-Gauge for Self-powered Measurement of Quasi-static-strain”, IEEE Transactions of Biomedical Circuits and Systems, vol.7, no:4, 2013. (PDF)
  • M. Gu, S. Chakrabartty, “FAST: A Framework for Simulation and Analysis of Large-scale Protein-Silicon Biosensor Circuits”, IEEE Transactions of Biomedical Circuits and Systems, vol.7, no:4, 2013. (PDF)
  • K. Aono, R. Shaga, S. Chakrabartty, “Exploiting Jump-Resonance Hysteresis in Silicon Auditory Front-ends for Extracting Speaker Discriminative Formant Trajectories”, IEEE Transactions of Biomedical Circuits and Systems, vol.7, no:4, 2013. (PDF)
  • M. Gu, S. Chakrabartty, “Sub-threshold, Varactor-driven CMOS Floating-gate Current Memory Array with less than 150ppm/K Temperature Sensitivity”, IEEE Journal of Solid-State Circuits, Nov. 2012. (PDF)
  • C. Huang, S. Chakrabartty, “An Asynchronous Analog Self-powered Sensor-Data-Logger with a 13.56MHz RF Programming Interface”, IEEE Journal of Solid-State Circuits, Feb. 2012. DOI:10.1109/JSSC.2011.2172159. (pdf).
  • A. Fazel, S. Chakrabartty, “Sparse Auditory Reproducing Kernels (SPARK) Features for Noise-Robust Speech Recognition”, IEEE Transactions on Audio, Speech, and Language Processing, vol. 20, no:4, 2012. (pre-print).
  • M. Gu, S. Chakrabartty, “Synthesis of Bias-Scalable Analog Computing Circuits based on Margin Propagation”, IEEE Transactions of Circuits and Systems-I, vol. 69, no:2, 2011. DOI:10.1109/TCSI.2011.2163968. (pre-print).
  • C. Huang, P. Sarkar, S. Chakrabartty, “Rail-to-Rail Hot-electron Injection Programming of Floating-gate Voltage Bias Generators at a Resolution of 13 bits”, IEEE Journal of Solid-State Circuits, vol.46, no:11, 2011, DOI:10.1109/JSSC.2011.2167390. (pdf).
  • M. Gu, S. Chakrabartty, An Adaptive, 100pJ/bit, (32,8,4), “Analog LDPC Decoder based on Margin Propagation”, IEEE Journal of Solid-State Circuits, vol. 46, no:6, pp.1433-1442, 2011. (pre-print).
  • C. Huang, S. Chakrabartty, “A current-input current-output CMOS logarithmic amplifier based on translinear Ohm’s law”, Electronics Letters, vol. 47, no:7, pp.433-434, 2011. (pdf).
  • C. Huang, S. Chakrabartty, “A Compact Self-powered CMOS Strain-rate Monitor for Piezoelectric Energy Scavengers”, Electronics Letters, vol. 47, no:4, pp. 277-278, 2011. (pdf).
  • A. Fazel, S. Chakrabartty, “Statistical Pattern Recognition Techniques for Speaker Verification”, IEEE Circuits and Systems Magazine. vol: 11, no:2, pp. 62-81, 2011. (pdf).
  • Y. Liu, M. Gu, E.C. Alocilja, S. Chakrabartty, “Co-detection: Ultra-reliable Nanoparticle-Based Electrical Detection of Biomolecules in the Presence of Large Background Interference”, Biosensors and Bioelectronics, Vol. 26, No:3, pp.1087-1092, 2010. (pdf).
  • Y. Liu, E.C. Alocilja, S. Chakrabartty, “Biomolecules Detection using a Silver-Enhanced Gold Nanoparticle-Based Biochip”, Nano Research Letters, 2010, DOI 10.1007/s11671-010-9542-0. (pdf).
  • A.Fazel, A.Gore, S.Chakrabartty, “Resolution Enhancement in sigma-delta Learners for Super-Resolution Source Separation”, IEEE Transactions of Signal Processing, vol. 58, no:3, pp. 1193 – 1204, 2010, DOI: 10.1109/TSP.2009.2034909. (pdf).
  • A.Gore, A.Fazel, S. Chakrabartty,“ Far-field Acoustic Source Localization and Bearing Estimation using Sigma-delta Learners”, IEEE Transactions of Circuits and Systems I, vol. 57, no:4, pp. 783-792, 2010, DOI: 10.1109/TCSI.2009.2027627. (pdf).
  • C.Huang, N.Lajnef, S. Chakrabartty, “Calibration and Characterization of Self-powered Floating-gate Usage Monitors with Single Electron per Second Operational Limit”, IEEE Transactions of Circuits and Systems I, vol. 57, no: 3, pp. 556-567, 2010, DOI: 10.1109/TCSI.2009.2024976. (pdf).
  • A.Gore, S. Chakrabartty, “Min-Max Optimization Framework for Designing SigmaDelta Learners: Theory and Hardware”, IEEE Transactions of Circuits and Systems I, vol. 57, no: 3, pp. 604-617, 2010, DOI: 10.1109/TCSI.2009.2025002. (pdf).
  • Y.Liu, S.Chakrabartty, Factor “Graph based Biomolecular Circuit Analysis for Designing Forward Error Correcting Biosensors”, IEEE Transactions of Biomedical Circuits and Systems, vol. 3, no. 3, pp.150-159, June 2009. (pdf).
  • N. Lajnef, N. Elvin, A. Elvin and S. Chakrabartty, “A  Piezo-Powered Floating Fate Injector for Self-Powered Fatigue Monitoring in Biomechanical Implants”, IEEE Transactions of Biomedical Circuits and Systems, pp.164-172, Vol. 2, Sept. 2008. (pdf).
  • Y. Liu, A. Gore, S. Chakrabartty, and E. C.Alocilja, “Characterization of Sub-systems of a Molecular Bio-wire based Biosensor Device”, Microchimica, 2008, DOI: 10.1007/s00604-008-0950-0. (pdf).
  • Y. Liu, S. Chakrabartty, and E. C.Alocilja, “Fundamental Building Blocks for Molecular Bio-wire based Forward-error Correcting Biosensors”, Nanotechnology, 18, (2007), 4240172. (pdf).
  • S. Chakrabartty, G.Cauwenberghs, “A Sub-microwatt Analog VLSI Trainable Pattern Classifier”, IEEE Journal of Solid-State Circuits, vol. 42, no: 5, May 2007. (pdf).
  • S. Chakrabartty and G. Cauwenberghs, “Gini-Support Vector Machine: Quadratic Entropy Based Multi-class Probability Regression”, Journal of Machine Learning Research, Volume 8, pp. 813-839, April 2007. (pdf).
  • V. Venkataramani, S. Chakrabartty , and W. Byrne, “Gini-Support Vector Machines for Segmental Minimum Bayes Risk Decoding of Continuous Speech, Computer Speech and Language”, Volume 21, Issue 3, July 2007, pp. 423-442. (pdf).
  • S. Chakrabartty, Y. Deng and G. Cauwenberghs, “Robust Speech Feature Extraction by Growth Transformation in Reproducing Kernel Hilbert Space”, IEEE Transactions on Speech, Language and Acoustics, pp.1842-1849, Vol. 15 Issue: 6, Aug. 2007. (pdf).
  • C. Kong and S.Chakrabartty, “Analog Iterative Decoders based on Margin Propagation”, IEEE Transactions on Circuits and Systems II, pp. 1140-1144, Vol. 54, no. 12, Dec. 2007. (pdf).
  • A. Gore, S. Chakrabartty, S. Pal, E.C. Alocilja, “A Multichannel Femtoampere-Sensitivity Potentiostat Array for Biosensing Applications”, IEEE Transactions on Circuits and Systems I: Regular Papers,Volume 53, Issue 11,Nov. 2006 Page(s):2357-2363. (pdf).
  • Y. Zuo; S. Chakrabartty, S. Pal, Z. Tahir,E.C. Alocilja, “Spatio-temporal Processing of Multi-channel Biosensors using Support Vector Machines”, IEEE Sensors Journal, Volume 6, Issue 6, Page(s): 1644-1651, Dec 2006. (pdf).
  • R. Genov, S. Chakrabartty and G.Cauwenberghs, “Silicon Support Vector Machine with On-Line Learning”, Int. J. Pattern Recognition and Artificial Intelligence, vol. 17 (3), pp. 385-404, 2003. (pdf).

  Arxiv Pre-prints

  • L. Zhou, S. Kondapalli and S. Chakrabartty, “A Fowler-Nordheim Integrator can Track the Density of Prime Numbers”, (arxiV Link).

  Book Chapters

  • S.Chakrabartty, N. Lajnef, N.Elvin, A.Elvin, Toward Self-powered Sensors and Circuits for Biomechanical Implants, VLSI Circuits for Biomedical Applications, eds. Krzysztof Iniewski, Artech House, 2008.
  • Y. Liu, E.C. Alocilja, S. Chakrabartty, Integrated Nano-bio-VLSI Approach for Designing Error-free Biosensors, Nano-biosensing, eds. Sandro Carrara, Springer, 2010.
  • T. Hindo, S. Chakrabartty, “Noise-exploitation in Neuromorphic Sensors”, Engineered Biomimicry: Bioinspiration, Biomimetics and Bioreplication, eds. A. Lakhtakia, R.J. Martin-Palma, Elsevier, 2013.
  • S. Chakrabartty, “Asynchronous Self-powered Sensing, Computation and Data-logging”, Advances in Energy Harvesting Methods, eds. A. Ertuk, N. Elvin, Springer, 2013.

  Conference Publications

  • Pochettino, O.; Kondapalli, S. H.; Aono, K.; and Chakrabartty, S. , “Real-time Infrastructure-to-Vehicle Communication using RF-Triggered Wireless Sensors.” In 62nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2019, Dallas, TX, USA, August 4-7, 2019, pages 556–559, 2019.
  • Kondapalli, S. H.; Zhou, L.; Aono, K.; and Chakrabartty, S., Long-term, Time-synchronized Temperature Monitoring using Self-Powered CMOS Timers. In 62nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2019, Dallas, TX, USA, August 4-7, 2019, pages 856–859, 2019.
  • Kondapalli S. H., Pochettino O., Embedded H-gauge with Hybrid-Powered Sensors for Pavement Monitoring, Proceedings 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2019.
  • Alavi, Amir H. and Hasni, Hassene and Jiao, Pengcheng and Aono, Kenji and Lajnef, Nizar and Chakrabartty, Shantanu and Wang, Kon-Well and Sohn, Hoon and Huang, Haiying and Lynch, Jerome P., Self-charging and self-monitoring smart civil infrastructure systems: current practice and future trends, Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019
  • Aono, K.; Hasni, H.; Pochettino, O.; Lajnef, N.; and Chakrabartty, S, “Quasi-self-powered Infrastructural Internet of Things: The Mackinac Bridge Case Study.” Proceedings of the 2018 on Great Lakes Symposium on VLSI, GLSVLSI 2018, Chicago, IL, USA, May 23-25, 2018, pages 335–340, 2018.
  • Mehta, D.; Zhou, L.; Aono, K.; and Chakrabartty, S. “Self-powered Sensing and Time-Stamping of Tampering Events.”, IEEE 61st International Midwest Symposium on Circuits and Systems, MWSCAS 2018, Windsor, ON, Canada, August 5-8, 2018, pages 968–971, 2018.
  • Zhou, L.; Aono, K.; and Chakrabartty, S., “Gaussian Process Regression for Improving the Performance of Self-powered Time-of-Occurrence Sensors.”, IEEE 61st International Midwest Symposium on Circuits and Systems, MWSCAS 2018, Windsor, ON, Canada, August 5-8, 2018, pages 996–999, 2018.
  • Kondapalli, S. H.; Pochettino, O.; Aono, K.; and Chakrabartty, S., “Hybrid-Powered Internet-of-Things for Infrastructure-to-Vehicle Communication.”, IEEE 61st International Midwest Symposium on Circuits and Systems, MWSCAS 2018, Windsor, ON, Canada, August 5-8, 2018, pages 1000–1003, 2018.
  • A. Gangopadhyay; O. Chatterjee ; S. Chakrabartty, “Continuous-time Optimization using Sub-threshold Current-mode Growth Transform Circuits”, 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS)
  • M. H. Afifi ; Liang Zhou ; Shantanu Chakrabartty ; Jian Ren, “HPMAP: A Hash-Based Privacy-Preserving Mutual Authentication Protocol for Passive IoT Devices Using Self-Powered Timers”, 2018 IEEE International Conference on Communications (ICC).
  • L. Zhou, S. Chakrabartty, “ Self-powered Continuous Time-Temperature Monitoring for Cold-Chain Management”, IEEE Mid-west Symposium of Circuits and Systems (MWSCAS 2017), Boston, USA, 2017.
  • Y. Alazzawi, S. Chakrabartty, “ Self-powered System-on-Chip for Substrate Computing and Ultrasonic Communications”, EEE Mid-west Symposium of Circuits and Systems (MWSCAS 2017), Boston, USA, 2017.
  • B. Scheid, S. Chakrabartty, “Feasibility of Hybrid Ultrasound-Electrical Nerve Stimulation for Electroceuticals”, IEEE Symposium of Circuits and Systems (ISCAS 2017), Baltimore, USA, 2017.
  • L. Zhou, S. Chakrabartty, “ Secure Dynamic Authentication of Passive Assets and Passive IoTs Using Self-Powered Timers”, IEEE Symposium of Circuits and Systems (ISCAS 2017), Baltimore, USA, 2017.
  • D. Mehta, A. Ege, B. Raman, S. Chakrabartty, “ Behaving Cyborg Locusts for Standoff Chemical Sensing”, IEEE Symposium of Circuits and Systems (ISCAS 2017), Baltimore, USA, 2017.
  • M. Yuan, S. Singamaneni, S. Chakrabartty, “ Analyte Sampling in Paper Biosensors Powered by Graphite-Based Light Absorption” IEEE Symposium of Circuits and Systems (ISCAS 2017), Baltimore, USA, 2017.
  • S. Kondapalli, X. Zhang, S. Chakrabartty, “ Variance-Based Digital Logic for Energy Harvesting Internet-of-Things” IEEE Symposium of Circuits and Systems (ISCAS2017), Baltimore, USA, 2017.
  • L. Zhou, A. Abraham, S. Tang, S. Chakrabartty “Approaching the Limits of Piezoelectricity Driven Hot-Electron Injection for Self-Powered in-Vivo Monitoring of Micro-Strain Variations”, IEEE Symposium of Circuits and Systems (ISCAS 2016), Montreal, Canada, 2016.
  • Y. Alazzawi, S. Chakrabartty, “Design of CMOS Telemetry Circuits for In-vivo Wireless Sonomicrometry”, IEEE Symposium of Circuits and Systems (ISCAS 2016), Montreal, Canada, 2016.
  • L. Zhou, S. Chakrabartty “ Self-powered Sensing and Time-stamping of Rare Events using CMOS Fowler-Nordheim Tunneling Timers”, IEEE Symposium of Circuits and Systems (ISCAS 2016), Montreal, Canada, 2016.
  • K.Aono, N. Lajnef, F.Faridazar, S.Chakrabartty, “ Infrastructural Health Monitoring Using Self-Powered Internet-of-Things”, IEEE Symposium of Circuits and Systems (ISCAS 2016), Montreal, Canada, 2016.
  • H. Salehi, R. Burgueño, S. Das, S. Biswas, S. Chakrabartty, “Structural health monitoring from discrete binary data through pattern recognition”, Proceedings of the 6th International Conference on Structural Engineering, Mechanics and Computation, SEMC 2016, 2016.
  • M. Yuan, E.C. Alocilja, S. Chakrabartty, “ Self-powered Wireless Biosensing based on Integration of Paper-based Microfluidics with Self-assembling RFID Antennas”, IEEE Conference on Biomedical Circuits and Systems (BioCAS 2015), Atlanta, USA, 2015.
  • Y. Alazzawi, C. Qian, S. Chakrabartty, “ Feasibility of Non-Contact Ultrasound Generation using Implanted Metallic Surfaces as Electromagnetic Acoustic Transducers”, IEEE Conference on Biomedical Circuits and Systems (BioCAS 2015), Atlanta, USA, 2015.
  • L. Zhou, S. Chakrabartty, “ Design of Low-Gm Transconductors using Varactor-based Degeneration and Linearization Technique”, IEEE Conference on Biomedical Circuits and Systems (BioCAS 2015), Atlanta, USA, 2015.
  • M. Yuan, P. Chahal, E.C. Alocilja, S. Chakrabartty, “Sensing by Growing Antennas: A Novel Approach for Designing Passive RFID based Biosensors”, IEEE Symposium on Circuits and Systems (ISCAS 2015), Lisbon, Portugal, 2015.
  • L. Zhou, S. Chakrabartty, “A Continuous-time Varactor-based Temperature Compensation Circuit for Floating-gate Multipliers and Inner-product Circuits”, IEEE Symposium on Circuits and Systems (ISCAS 2015), Lisbon, Portugal, 2015.
  • B. Fang, T. Feng, M. Zhang, S. Chakrabartty, “ Feasibility of B-mode Diagnostic Ultrasound Energy Transfer and Telemetry to a cm2 sized Deep-tissue Implant”, IEEE Symposium on Circuits and Systems (ISCAS 2015), Lisbon, Portugal, 2015.
  • N. Lajnef, R. Burgueno, W. Borchani, S. Chakrabartty, “Sub-Hz Self-Powered Sensing Based on Mechanical-Buckling Driven Hot-Electron Injection”, IEEE Symposium on Circuits and Systems (ISCAS 2014), Melbourne, Australia, 2014 (Best paper award).
  • L. Zhou, S. Chakrabartty, “A 7-Transistor-Per-Cell, High-Density Analog Storage Array with 500µV Update Accuracy and Greater Than 60dB Linearity”, IEEE Symposium on Circuits and Systems (ISCAS 2014), Melbourne, Australia, 2014.
  • M. Gu, S. Chakrabartty, “A Bias-Scalable Current-Mode Analog Support Vector Machine Based on Margin Propagation”, IEEE Symposium on Circuits and Systems (ISCAS 2014), Melbourne, Australia, 2014.
  • K. Aono, T. Covassin, S. Chakrabartty, “Monitoring of Repeated Head Impacts Using Time-Dilation Based Self-Powered Sensing”, IEEE Symposium on Circuits and Systems (ISCAS 2014), Melbourne, Australia, 2014.
  • N. Lajnef, S. Chakrabartty, R. Burgueno, W. Borchani, “Quasi-static self-powered sensing and data logging”, Proceedings of SPIE NDE/Smart Structures, San Diego, USA, 2014.
  • S. Chakrabartty, N. Lajnef, “Compressive Piezo-floating-gate sensors for self-powered sensing of wide-dynamic-range mechanical events”, Proceedings of SPIE NDE/Smart Structures, San Diego, USA, 2014.
  • M. Gu, S. Chakrabartty, “ A 120dB Input Dynamic Range, Current-Input Current-Output CMOS Logarithmic Amplifier with 230ppm/K Temperature Sensitivity”, IEEE Midwest Symposium on Circuits and Systems (MWSCAS 2013), Columbus, Ohio, 2013.
  • M. Gu, S. Chakrabartty, “ Bias-Scalable Inner-Product Approximation Circuit Using Analog Margin Propagation”, IEEE Midwest Symposium on Circuits and Systems (MWSCAS 2013), Columbus, Ohio, 2013.
  • L. Zhou, P. Sarkar, S. Chakrabartty, “Scavenging Thermal-Noise Energy for Implementing Long-Term Self-Powered CMOS Timers”, IEEE Symposium on Circuits and Systems (ISCAS 2013), Beijing, China, 2013.
  • P. Sarkar, S. Chakrabartty, “A Compressive Piezoelectric Front-End Circuit for Self-Powered Mechanical Impact Detectors”, IEEE Symposium on Circuits and Systems (ISCAS 2013), Beijing, China, 2013.
  • S. Chakrabartty, “Approaching limits of sensing using neuromorphic noise-exploitation principles”, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, San Diego, California, 2013.
  • S. Chakrabartty, T. Feng, K. Aono, “Gen-2 RFID compatible, zero down-time, programmable mechanical strain-monitors and mechanical impact detectors”, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, San Diego, California, 2013.
  • S. Chakrabartty, “Reproducing Kernel-based Methods for Extracting and Identifying Noise-robust Speech Features”, IEEE Asilomar Conference on Signal, Systems and Computers, Nov. 2012.
  • K. Aono, R. Shaga, S. Chakrabartty, “Exploiting Jump-Resonance Hysteresis in Silicon Cochlea for Formant Trajectory Encoding”, IEEE Proc. Of 55th International Midwest Symposium on Circuits and Systems, Boise, Idaho, 2012.
  • F. Tao, S. Chakrabartty, “Analysis and Design of High-Efficiency Inductive Power-links Using a Novel Matching Strategy”, IEEE Proc. Of 55th International Midwest Symposium on Circuits and Systems, Boise, Idaho, 2012.
  • M. Gu, S. Chakrabartty, “Varactor-Driven Temperature Compensation of CMOS Floating-Gate Current Memory”, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2012), Seoul, South Korea, 2012.
  • P. Sarkar, S. Chakrabartty, “A Self-Powered Static-Strain Sensor Based on Differential Linear Piezo-Floating-Gate Injectors”, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2012), Seoul, South Korea, 2012.
  • R. Shaga, S. Chakrabartty, “Sigma-Delta Gradient-Descent Learning for Online Real-Time Calibration of Digitally-Assisted Analog Circuits”, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2012), Seoul, South Korea, 2012.
  • T. Hindo, S. Chakrabartty, “Noise-exploitation in Neuromorphic Sensors”, Biomimetics, Bioreplication and Bioinspiration Conference, Proc. Of SPIE (2012), San Diego, 2012.
  • A. Fazel, S. Chakrabartty, Sparse Kernel Cepstral Coefficients (SKCC): Inner-Product Based Features for Noise-Robust Speech Recognition, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2011), Rio de Janiero, 2011.
  • C. Huang, S. Chakrabartty, A Hybrid Energy Scavenging Sensor for Long-Term Mechanical Strain Monitoring, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2011), Rio de Janiero, 2011.
  • M. Gu, S. Chakrabartty, An Adaptive Analog Low-Density Parity-Check Decoder Based on Margin Propagation, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2011), Rio de Janiero, 2011.
  • C. Huang, S. Chakrabartty, Multi-functional self-powered sensor for long-term ambient vibration monitoring, Proc. of SPIE Smart Structures + NDE, San Diego, 2011.
  • C. Huang, S. Chakrabartty, A miniature batteryless health and usage monitoring system based on hybrid energy harvesting, Proc. of SPIE Smart Structures + NDE, San Diego, 2011.
  • C. Huang, S.Chakrabartty, A Temperature Compensated Array of CMOS Floating-Gate Analog Memory, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2010), Paris, 2010.
  • M.Gu, Y. Liu, S.Chakrabartty, Fast: a Simulation Framework for Solving Large-Scale Probabilistic Inverse Problems in Nano-Biomolecular Circuits, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2010), Paris, 2010.
  • A. Fazel, S.Chakrabartty, Sigma-Delta Learning for Super-resolution Source Separation on High-density Microphone Arrays, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2010), Paris, 2010.
  • S.Chakrabartty, S.C. Liu, Exploiting Spike-based Dynamics in a Silicon Cochlea for Speaker Identification, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2010), Paris, 2010.
  • C. Huang, N. Lajnef, S.Chakrabartty, Infrasonic energy harvesting for embedded structural health monitoring micro-sensors, Proc. of SPIE Smart Structures and Materials + Non-destructive Evaluation and Health Monitoring, San Diego, March 2010.
  • S.Chakrabartty, Multiple-input multiple-output (MIMO) analog-to-feature converter chipsets for sub-wavelength acoustic source localization and bearing estimation, Proc. of SPIE Symposium on Defense, Security and Sensing, Orlando, April 2010.
  • M. Gu, K. Misra, H. Radha, S. Chakrabartty, Sparse Decoding of Low-density Parity Check Codes based on Margin Propagation, Proc. of IEEE Globecomm, Honolulu, HI, 2009.
  • Y. Liu, E. Alocilja, S. Chakrabartty, Exploiting Sub-Threshold and Above-Threshold Characteristics in a Silver-Enhanced Gold Nanoparticle Based Biochip, Proc. of IEEE Conference on Engineering in Medicine and Biology, Minneapolis, 2009.
  • Y. Liu, E. Alocilja, S. Chakrabartty, Co-detection in Forward Error Correcting Biosensors, Nano-DDS Conference, FL, 2009.
  • Y. Liu, E. Alocilja, S. Chakrabartty, Time-based Forward Error Correcting Biosensors, Nano-DDS Conference, FL, 2009.
  • A. Fazel, S. Chakrabartty, Non-Linear Filtering in Reproducing Kernel Hilbert Spaces for Noise-Robust Speaker Verification, Proc. of IEEE International Symposium on Circuits and Systems (ISCAS), Taipei, Taiwan, 2009.
  • Y. Liu, D. Zhang, E. C.Alocilja, and S. Chakrabartty, Design and Characterization of a Silver-Enhanced Gold Nanoparticle-Based Biochip, Proc. of IEEE International Symposium on Circuits and Systems, Taipei, Taiwan, 2009.
  • N. Lajnef, C. Huang and S. Chakrabartty, Infrasonic Power-Harvesting and Nanowatt Self-Powered Sensors, Proc. of IEEE International Symposium on Circuits and Systems, Taipei, Taiwan, 2009.
  • S. Chakrabartty and A.Gore, Sigma-Delta Analog to LPC Feature Converters for Portable Recognition Interfaces, Proc. of IEEE International Symposium on Circuits and Systems, Taipei, Taiwan, 2009.
  • C. Huang and S. Chakrabartty, Reducing Indirect Programming Mismatch Due to Oxide-Traps Using Dual-Channel Floating-Gate Transistors, Proc. of IEEE International Symposium on Circuits and Systems, Taipei, Taiwan, 2009.
  • M. Shi, A.Abbas, S. Chakrabartty and G. Cauwenberghs, An Analog Wavelet Transform CMOS APS Imager Chip, Proc. of IEEE International Symposium on Circuits and Systems, Taipei, Taiwan, 2009.
  • C. Huang and S. Chakrabartty, Low-threshold Voltage Multipliers based on Floating-gate Charge-pumps, IEEE Biomedical Circuits and Systems Conference, Baltimore, USA, 2008.
  • C. Huang and S. Chakrabartty, Self-powered CMOS Impact-rate Monitors for Biomechanical Implants, IEEE Biomedical Circuits and Systems Conference, Baltimore, USA, 2008.
  • Y. Liu, E. C.Alocilja and S. Chakrabartty,  Forward Error Correcting Biosensors: Modeling, Algorithm, and Fabrication, IEEE Biomedical Circuits and Systems Conference, Baltimore, USA, 2008.
  • S. Chakrabartty and Y. Liu, Towards Reliable Multi-pathogen Biosensors using High-dimensional Encoding and Decoding Techniques, SPIE Symposium on NanoScience+Engineering, San Diego, CA, 2008.
  • A. Fazel , S. Chakrabartty, Sigma-Delta Learning for Super-Resolution Independent Component Analysis, IEEE International Symposium on Circuits and Systems (ISCAS), Seattle, WA, 2008.
  • Y. Liu, S. Chakrabartty, E. C.Alocilja, A Multiplexed Biosensor based on Biomolecular Nanowires, IEEE International Symposium on Circuits and Systems , Seattle, USA, 2008.
  • Y. Liu, S. Chakrabartty, Computer Aided Simulation and Verification of Forward Error Correcting Biosensors, IEEE International Symposium on Circuits and Systems , Seattle, USA, 2008.
  • N. Lajnef, S. Chakrabartty and N. Elvin, Calibration and Characterization of Self-powered Floating-gate Sensor Arrays for Long-term Fatigue Monitoring, IEEE Symposium on Circuits and Systems (ISCAS), Seattle WA, May 2008.
  • A. Fazel , S. Chakrabartty, Sigma-Delta Resolution Enhancement for Far-field Acoustic Source Separation, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, NV, 2008.
  • Y. Liu, A. Gore, S. Chakrabartty, E. C.Alocilja, A Molecular Bio-wire based Multi-array Biosensor with Integrated potentiostats, IEEE Biomedical Circuits and Systems Conference, pp. 29-32, Montréal, Canada, Nov.2007.
  • Y. Liu, S. Chakrabartty, D. S. Gkinosatis, A. K.Mohanty, and N. Lajnef, Multi-walled Carbon Nanotubes/Poly(L-lactide) Nanocomposite Strain Sensor for Biomechanical Implants, IEEE Biomedical Circuits and Systems Conference, pp. 119-122, Montréal, Canada, Nov.2007.
  • Y. Liu, A. Gore, S. Chakrabartty, E. C.Alocilja, A Molecular Bio-wire based Multi-array Biosensor with Integrated potentiostats, IEEE Biomedical Circuits and Systems Conference, pp. 29-32, Montréal, Canada, Nov.2007. (Invited)
  • Y. Liu , D. S. Gkinosatis, A. K.Mohanty, and S. Chakrabartty, Carbon Nanotube/Polylactide Nanocomposites for Wearable Strain Sensors, Nano and Giga Challenges in Electronics and Photonics, Phoenix, Arizona, March, 2007, U.S.A
  • P. Kucher and S. Chakrabartty , An Energy-Scalable Margin Propagation-Based Analog VLSI Support Vector Machine,  IEEE Symposium on Circuits and Systems (ISCAS’2007), New Orleans 2007.
  • N. Lajnef, S. Chakrbartty, N. Elvin and A. Elvin, Piezo-Powered Floating Fate Injector for Self-Powered Fatigue Monitoring in Biomechanical Implants,  IEEE Symposium on Circuits and Systems (ISCAS’2007), New Orleans 2007.
  • N. Lajnef, S. Chakrbartty, N. Elvin and A. Elvin,A sub-microwatt self-powered fatigue sensor ,  14th International Symposium on: Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring, San Diego, March 2007.
  • A. Gore and S. Chakrbartty , Large Margin Analog-to-digital converters with applications in Neural Prosthetics,  Adv. Neural Information Processing Systems (NIPS’2006).
  • S. Chakrbartty, A.Gore and K.Oweiss, An Adaptive multiple-input multiple-output sigma-delta converter for high-density neuroposthetic electrode arrays, IEEE Conference on Engineering in Medicine and Biology (EMBC 2006), New York.  
  • A.Gore, S.Chakrabartty, S. Pal and E. Alocilja, A Multi-channel Femtoampere Sensitivity Conductometric Array for Biosensing Applications, IEEE Conference on Engineering in Medicine and Biology (EMBC 2006), New York.  
  • N. Lajnef, S.Chakrabartty and N.Elvin, A Sub-microwatt Piezo-floating-gate Sensor for Long-term Fatigue Monitoring in Biomechanical Implants, IEEE Conference on Engineering in Medicine and Biology (EMBC 2006), New York.  
  • C. Kong and S.Chakrabartty, Analog Margin Propagation based Iterative LDPC Decoders, Analog Decoding Workshop, Torino, Italy 2006.
  • S. Chakrabartty, CMOS analog iterative decoders using margin propagation circuits, Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS 2006), 21-24 May 2006
  • P. Kucher and S. Chakrabartty, An Adaptive CMOS Imager with Time-based Compressive Active-pixel Response , Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS 2006), 21-24 May 2006.
  • A. Gore and S. Chakrabartty, Online Calibration of Floating-gate Detectors for RFID Sensors, Midwest Symposium on Circuits and Systems 2005 (Invited Presentation), 7-10 Aug. 2005 Page(s):87 – 90 Vol. 1.
  • S. Chakrabartty and G. Cauwenberghs ,Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation, Adv. Neural Information Processing Systems (NIPS’2004), Cambridge: MIT Press, 17, 2005
  • C. Kun, S. Chakrabartty and A. Mason, A Dynamic Reconfigurable A/D Converter for Sensor Applications , IEEE Sensors Conference, 30 Oct.-3 Nov. 2005.
  • S. Chakrabartty and G. Cauwenberghs, Fixed-current Method for Programming Large Floating Gate Arrays , Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS 2005), 23-25 May 2005.
  • R. J. Vogelstein, K. Murari, K.; P.H. Thakur, C. Diehl, S. Chakrabartty, G. Cauwenberghs, Spike sorting with support vector machines, IEEE Conference on Engineering in Medicine and Biology (EMBC 2004),Volume 1,  2004 Page(s):546 – 549 Vol.1.
  • S. Chakrabartty and G. Cauwenberghs, Margin Propagation and Forward Decoding in Analog VLSI, Proc. IEEE Int. Symp. Circuits and Systems (ISCAS’2004), Vancouver Canada, 2004.
  • Y. Deng, S. Chakrabartty and G. Cauwenberghs, A Three Decades Programmable Fully Differential OTA Design, Proc. IEEE Int. Symp. Circuits and Systems (ISCAS’2004), Vancouver Canada, 2004.
  • S. Chakrabartty, Y. Deng and G. Cauwenberghs, Robust Speech Feature Extraction by Growth Transformation in Reproducing Kernel Hilbert Space,  Proc. IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP’2004), Montreal Canada, 2004.
  • V. Venkataramani, S. Chakrabartty and W. Byrne, Support Vector Machines for Segmental Minimum Bayes Risk Decoding of Continuous Speech, IEEE Automatic Recognition and Understanding Wokshop (ASRU’03)  St. Thomas, U.S. Virgin Islands, Nov. 30-Dec. 4, 2003.
  • S. Chakrabartty, G. Cauwenberghs and Jayadeva, Sparse Probability Regression by Label Partitioning, Proc. 16th Conf. Computational Learning Theory (COLT’03), Washington DC, Aug. 24-27, 2003.
  • S. Chakrabartty and G. Cauwenberghs, Power Dissipation Limits and Large Margin in Wireless Sensors, Proc. IEEE Int. Symp. Circuits and Systems (ISCAS’2003), Bangkok Thailand, May 25-28, 2003.
  • S. Chakrabartty, M. Yagi, T. Shibata and G. Cauwenberghs, Robust Cephalometric Landmark Identification Using Support Vector Machines, Proc. IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP’2003), Hong Kong, Apr. 6-10, 2003.
  • S. Chakrabartty and G. Cauwenberghs, Expectation Maximization of Forward Decoding Kernel Machines, Proc. 9th Int. Workshop Artificial Intelligence and Statistics (AISTATS’2003), Key West FL, Jan. 3-6, 2003.
  • S. Chakrabartty and G. Cauwenberghs, Forward-Decoding Kernel-Based Phone Sequence Recognition, Adv. Neural Information Processing Systems (NIPS’2002), Cambridge: MIT Press, vol. 15, 2003.
  • S. Chakrabartty and G. Cauwenberghs, Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition,  Proc. SVM’2002, Lecture Notes in Computer Science, vol. 2388, pp. 278-292, 2002.
  • S. Chakrabartty and G. Cauwenberghs, Sequence Estimation and Channel Equalization Using Forward Decoding Kernel Machines, Proc. IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP’2002), Orlando FL, May 13-17, 2002.
  • S. Chakrabartty and G. Cauwenberghs, Hybrid Support Vector Machine, Hidden Markov Model Approach for Continuous Speech Recognition, Proc. 43rd IEEE Midwest Symp. Circuits and Systems (MWSCAS’2000), Lansing MI, August 8-11, 2000.
  • S. Chakrabartty, M. Stanacevic and T.D. Tran, Adaptive Image Database Using Wavelets,  Proc. 34th IEEE Asilomar Conference on Signals,Systems and Computers, vol. 2, pp. 1856-1860, Pacific Grove, Oct. 2000.

  Research Papers (By Research Themes)

  Self-powered and Quasi-self-powered Sensors

  • D. Mehta, K. Aono, S. Chakrabartty, A self-powered analog sensor-data-logging device based on Fowler-Nordheim dynamical systems. Nature Communications 11, 5446, 2020. https://doi.org/10.1038/s41467-020-19292-w
  • K. Aono, H. Hasni, O. Pochettino, N. Lajnef, and S. Chakrabartty, “Quasi-Self-Powered Piezo-Floating-Gate Sensing Technology for continuous Monitoring of Large-Scale Bridges”, Frontiers in Built Environment, vol. 5, 2019.
  • L.Zhou, S. Kondapalli, K.Aono, and S. Chakrabartty, “ Desynchronization of self-Powered FN Tunneling Timers for Trust Verification of IoT Supply-Chain”, IEEE Internet-of-things Journal, 2019.
  • H. Salehi, S. Chakrabartty, S. Biswas, and R. Burgueno, “Localized damage identification in plate-like structures using self-powered sensor data: A pattern recognition Strategy”, Measurement, vol. 135, pp. 23-38 Mar. 2019.
  • S. Kondapalli, Y. Alazzawi, M. Malinowski, T. Timek and S. Chakrabartty, “Feasibility of Self-Powering and Energy Harvesting using Cardiac Valvular Perturbations”, IEEE Transactions on Biomedical Circuits and Systems, vol. 12, no: 6, 2018.
  • L.Zhou, K.Aono, S. Chakrabartty, “A CMOS Timer-Injector Integrated Circuit for Self-powered Sensing of Time-of-Occurrence”, IEEE Journal of Solid-State Circuits, 2018. (PDF).
  • M. H. Afifi, L. Zhou, S. Chakrabartty and J. Ren, “Dynamic Authentication Protocol using Self-powered Timers for Passive Internet of Things”, IEEE Internet of Things Journal, 2017 (PDF).
  • H. Hasni, A.H. Alavi, N. Lajnef, M. Abdelbarr, S.F. Masri, S. Chakrabartty, “Self-Powered Piezo-Floating-Gate Sensors for Health Monitoring of Steel Plates”, Engineering Structures, 2017 in press. DOI: 10.1016/j.engstruct.2017.06.063.
  • H. Hasni, A.H. Alavi, P. Jiao, N. Lajnef, K. Chatti, K. Aono, S. Chakrabartty, “A new approach for damage detection in asphalt concrete pavements using battery-free wireless sensors with non-constant injection rates”, Measurement, 2017, 10.1016/j.measurement.2017.06.035
  • L. Zhou, S. Chakrabartty, “ Self-Powered Timekeeping and Synchronization Using Fowler-Nordheim Tunneling-Based Floating-Gate Integrators”, IEEE Transactions on Electron Devices, vol. 64, no:3, pp.1254-1260, 2017. (PDF)
  • L. Zhou, S. Chakrabartty, “Linearization of CMOS Hot-electron Injectors for Self-powered Monitoring of Biomechanical Strain Variations”, IEEE Transactions of Biomedical Circuits and Systems, vol 11, no:2, 2017. (PDF)
  • L. Zhou, A. Abraham, S. Tang, S. Chakrabartty, “A 5nW Quasi-linear CMOS Hot-electron Injector for Self-powered Monitoring of Biomechanical Strain Variations”, IEEE Transactions of Biomedical Circuits and Systems, 2016, DOI: 10.1109/TBCAS.2016.2523992. (PDF)
  • W. Borchani, K. Aono, N. Lajnef, S. Chakrabartty, “Monitoring Of Post-Operative Bone Healing Using Smart Trauma-Fixation Device with Integrated Self-Powered Piezo- Floating-Gate Sensors”, IEEE Transactions on Biomedical Engineering, 2015, DOI: 10.1109/TBME.2015.2496237. (PDF)
  • T. Feng, K. Aono, T. Covassin, S. Chakrabartty, “ Self-powered Monitoring of Repeated Head Impacts using Time-dilation Energy Measurement Circuit”, IEEE Transactions on Biomedical Circuits and Systems, vol:9, no:2, pp. 217-226, 2015. (PDF)
  • N. Lajnef, W. Borchani, R. Burgueno, S. Chakrabartty, “Self-powered Piezo-floating-gate Smart-gauges based on Quasi-static Mechanical Energy Concentrators and Triggers”, IEEE Sensors Journal, vol. 15, no: 2, pp.676-683, 2015. (PDF)
  • P. Sarkar, S. Chakrabartty, “Compressive Self-powering of Piezo-Floating-Gate Mechanical Impact Detectors”, IEEE Transactions of Circuits and Systems – I, vol. 60, no:9, 2013. (PDF)
  • P. Sarkar, C. Huang, S. Chakrabartty, “An Ultra-linear Piezo-Floating-Gate Strain-Gauge for Self-powered Measurement of Quasi-static-strain”, IEEE Transactions of Biomedical Circuits and Systems, vol.7, no:4, 2013. (PDF)
  • C. Huang, S. Chakrabartty, “An Asynchronous Analog Self-powered Sensor-Data-Logger with a 13.56MHz RF Programming Interface”, IEEE Journal of Solid-State Circuits, Feb. 2012. DOI:10.1109/JSSC.2011.2172159. (pdf).
  • C. Huang, S. Chakrabartty, “A Compact Self-powered CMOS Strain-rate Monitor for Piezoelectric Energy Scavengers”, Electronics Letters, vol. 47, no:4, pp. 277-278, 2011. (pdf).
  • C.Huang, N.Lajnef, S. Chakrabartty, “Calibration and Characterization of Self-powered Floating-gate Usage Monitors with Single Electron per Second Operational Limit”, IEEE Transactions of Circuits and Systems I, vol. 57, no: 3, pp. 556-567, 2010, DOI: 10.1109/TCSI.2009.2024976. (pdf).
  • N. Lajnef, N. Elvin, A. Elvin and S. Chakrabartty, “A  Piezo-Powered Floating Fate Injector for Self-Powered Fatigue Monitoring in Biomechanical Implants”, IEEE Transactions of Biomedical Circuits and Systems, pp.164-172, Vol. 2, Sept. 2008. (pdf).
  • S.Chakrabartty, N. Lajnef, N.Elvin, A.Elvin, Toward Self-powered Sensors and Circuits for Biomechanical Implants, VLSI Circuits for Biomedical Applications, eds. Krzysztof Iniewski, Artech House, 2008.
  • S. Chakrabartty, “Asynchronous Self-powered Sensing, Computation and Data-logging, Advances in Energy Harvesting Methods, eds. A. Ertuk, N. Elvin, Springer, 2013.
  • Kondapalli, S. H.; Zhou, L.; Aono, K.; and Chakrabartty, S., Long-term, Time-synchronized Temperature Monitoring using Self-Powered CMOS Timers. In 62nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2019, Dallas, TX, USA, August 4-7, 2019, pages 856–859, 2019.
  • Kondapalli S. H., Pochettino O., Embedded H-gauge with Hybrid-Powered Sensors for Pavement Monitoring, Proceedings 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2019.
  • Alavi, Amir H. and Hasni, Hassene and Jiao, Pengcheng and Aono, Kenji and Lajnef, Nizar and Chakrabartty, Shantanu and Wang, Kon-Well and Sohn, Hoon and Huang, Haiying and Lynch, Jerome P., Self-charging and self-monitoring smart civil infrastructure systems: current practice and future trends, Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019
  • Aono, K.; Hasni, H.; Pochettino, O.; Lajnef, N.; and Chakrabartty, S, “Quasi-self-powered Infrastructural Internet of Things: The Mackinac Bridge Case Study.” Proceedings of the 2018 on Great Lakes Symposium on VLSI, GLSVLSI 2018, Chicago, IL, USA, May 23-25, 2018, pages 335–340, 2018.
  • Mehta, D.; Zhou, L.; Aono, K.; and Chakrabartty, S. “Self-powered Sensing and Time-Stamping of Tampering Events.”, IEEE 61st International Midwest Symposium on Circuits and Systems, MWSCAS 2018, Windsor, ON, Canada, August 5-8, 2018, pages 968–971, 2018.
  • Zhou, L.; Aono, K.; and Chakrabartty, S., “Gaussian Process Regression for Improving the Performance of Self-powered Time-of-Occurrence Sensors.”, IEEE 61st International Midwest Symposium on Circuits and Systems, MWSCAS 2018, Windsor, ON, Canada, August 5-8, 2018, pages 996–999, 2018.
  • M. H. Afifi ; Liang Zhou ; Shantanu Chakrabartty ; Jian Ren, “HPMAP: A Hash-Based Privacy-Preserving Mutual Authentication Protocol for Passive IoT Devices Using Self-Powered Timers”, 2018 IEEE International Conference on Communications (ICC).
  • L. Zhou, S. Chakrabartty, “ Self-powered Continuous Time-Temperature Monitoring for Cold-Chain Management”, IEEE Mid-west Symposium of Circuits and Systems (MWSCAS 2017), Boston, USA, 2017.
  • Y. Alazzawi, S. Chakrabartty, “ Self-powered System-on-Chip for Substrate Computing and Ultrasonic Communications, EEE Mid-west Symposium of Circuits and Systems (MWSCAS 2017), Boston, USA, 2017.
  • L. Zhou, S. Chakrabartty, “ Secure Dynamic Authentication of Passive Assets and Passive IoTs Using Self-Powered Timers, IEEE Symposium of Circuits and Systems (ISCAS 2017), Baltimore, USA, 2017.
  • L. Zhou, A. Abraham, S. Tang, S. Chakrabartty “Approaching the Limits of Piezoelectricity Driven Hot-Electron Injection for Self-Powered in-Vivo Monitoring of Micro-Strain Variations, IEEE Symposium of Circuits and Systems (ISCAS 2016), Montreal, Canada, 2016.
  • L. Zhou, S. Chakrabartty “ Self-powered Sensing and Time-stamping of Rare Events using CMOS Fowler-Nordheim Tunneling Timers”, IEEE Symposium of Circuits and Systems (ISCAS 2016), Montreal, Canada, 2016.
  • K.Aono, N. Lajnef, F.Faridazar, S.Chakrabartty, “ Infrastructural Health Monitoring Using Self-Powered Internet-of-Things”, IEEE Symposium of Circuits and Systems (ISCAS 2016), Montreal, Canada, 2016.
  • H. Salehi, R. Burgueño, S. Das, S. Biswas, S. Chakrabartty, “Structural health monitoring from discrete binary data through pattern recognition”, Proceedings of the 6th International Conference on Structural Engineering, Mechanics and Computation, SEMC 2016, 2016.
  • N. Lajnef, R. Burgueno, W. Borchani, S. Chakrabartty, “Sub-Hz Self-Powered Sensing Based on Mechanical-Buckling Driven Hot-Electron Injection”, IEEE Symposium on Circuits and Systems (ISCAS 2014), Melbourne, Australia, 2014 (Best paper award).
  • K. Aono, T. Covassin, S. Chakrabartty, “Monitoring of Repeated Head Impacts Using Time-Dilation Based Self-Powered Sensing”, IEEE Symposium on Circuits and Systems (ISCAS 2014), Melbourne, Australia, 2014.
  • N. Lajnef, S. Chakrabartty, R. Burgueno, W. Borchani, “Quasi-static self-powered sensing and data logging”, Proceedings of SPIE NDE/Smart Structures, San Diego, USA, 2014.
  • S. Chakrabartty, N. Lajnef, “Compressive Piezo-floating-gate sensors for self-powered sensing of wide-dynamic-range mechanical events”, Proceedings of SPIE NDE/Smart Structures, San Diego, USA, 2014.
  • L. Zhou, P. Sarkar, S. Chakrabartty, “Scavenging Thermal-Noise Energy for Implementing Long-Term Self-Powered CMOS Timers”, IEEE Symposium on Circuits and Systems (ISCAS 2013), Beijing, China, 2013.
  • P. Sarkar, S. Chakrabartty, “A Compressive Piezoelectric Front-End Circuit for Self-Powered Mechanical Impact Detectors”, IEEE Symposium on Circuits and Systems (ISCAS 2013), Beijing, China, 2013.
  • S. Chakrabartty, T. Feng, K. Aono, “Gen-2 RFID compatible, zero down-time, programmable mechanical strain-monitors and mechanical impact detectors”, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, San Diego, California, 2013.
  • P. Sarkar, S. Chakrabartty, “A Self-Powered Static-Strain Sensor Based on Differential Linear Piezo-Floating-Gate Injectors”, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2012), Seoul, South Korea, 2012.
  • C. Huang, S. Chakrabartty, A Hybrid Energy Scavenging Sensor for Long-Term Mechanical Strain Monitoring, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2011), Rio de Janiero, 2011.
  • C. Huang, S. Chakrabartty, Multi-functional self-powered sensor for long-term ambient vibration monitoring, Proc. of SPIE Smart Structures + NDE, San Diego, 2011.
  • C. Huang, S. Chakrabartty, A miniature batteryless health and usage monitoring system based on hybrid energy harvesting, Proc. of SPIE Smart Structures + NDE, San Diego, 2011.
  • C. Huang, N. Lajnef, S.Chakrabartty, Infrasonic energy harvesting for embedded structural health monitoring micro-sensors, Proc. of SPIE Smart Structures and Materials + Non-destructive Evaluation and Health Monitoring, San Diego, March 2010.
  • N. Lajnef, C. Huang and S. Chakrabartty, Infrasonic Power-Harvesting and Nanowatt Self-Powered Sensors, Proc. of IEEE International Symposium on Circuits and Systems, Taipei, Taiwan, 2009.
  • C. Huang and S. Chakrabartty, Self-powered CMOS Impact-rate Monitors for Biomechanical Implants, IEEE Biomedical Circuits and Systems Conference, Baltimore, USA, 2008.
  • N. Lajnef, S. Chakrabartty and N. Elvin, Calibration and Characterization of Self-powered Floating-gate Sensor Arrays for Long-term Fatigue Monitoring, IEEE Symposium on Circuits and Systems (ISCAS), Seattle WA, May 2008.
  • N. Lajnef, S. Chakrbartty, N. Elvin and A. Elvin, Piezo-Powered Floating Fate Injector for Self-Powered Fatigue Monitoring in Biomechanical Implants,  IEEE Symposium on Circuits and Systems (ISCAS’2007), New Orleans 2007.
  • N. Lajnef, S. Chakrbartty, N. Elvin and A. Elvin,A sub-microwatt self-powered fatigue sensor ,  14th International Symposium on: Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring, San Diego, March 2007.
  • N. Lajnef, S.Chakrabartty and N.Elvin, A Sub-microwatt Piezo-floating-gate Sensor for Long-term Fatigue Monitoring in Biomechanical Implants, IEEE Conference on Engineering in Medicine and Biology (EMBC 2006), New York.  

  Neuromorphic Sensors and Processors

  • A. Gangopadhyay, S. Chakrabartty, A Sparsity-driven Backpropagation-less Learning Framework using Populations of Spiking Growth Transform Neurons. Frontiers in Neuroscience, 2021, doi: 10.3389/fnins.2021.715451.
  • A. Gangopadhyay, D. Mehta, S. Chakrabartty, A Spiking Neuron and Population Model Based on the Growth Transform Dynamical System, Frontiers in Neuroscience, 12 May 2020 https://doi.org/10.3389/fnins.2020.00425.
  • A. Gangopadhyay, S. Chakrabartty, “Spiking, Bursting and Population Dynamics in a Network of Growth Transform Neurons”, IEEE Transactions of Neural Networks and Learning Systems, 2017, DOI: 10.1109/TNNLS.2017.2695171. (PDF)
  • S. Chakrabartty, R. Shaga, K. Aono, “Noise-shaping Gradient Descent based Online Adapation Algorithms for Digital Calibration of Analog Circuits”, IEEE Transactions of Neural Networks and Learning Systems, vol.24, no:4, 2013. (PDF)
  • K. Aono, R. Shaga, S. Chakrabartty, “Exploiting Jump-Resonance Hysteresis in Silicon Auditory Front-ends for Extracting Speaker Discriminative Formant Trajectories”, IEEE Transactions of Biomedical Circuits and Systems, vol.7, no:4, 2013. (PDF)
  • A. Fazel, S. Chakrabartty, “Sparse Auditory Reproducing Kernels (SPARK) Features for Noise-Robust Speech Recognition”, IEEE Transactions on Audio, Speech, and Language Processing, vol. 20, no:4, 2012. (pre-print).
  • A.Fazel, A.Gore, S.Chakrabartty, “Resolution Enhancement in sigma-delta Learners for Super-Resolution Source Separation”, IEEE Transactions of Signal Processing, vol. 58, no:3, pp. 1193 – 1204, 2010, DOI: 10.1109/TSP.2009.2034909. (pdf).
  • A.Gore, A.Fazel, S. Chakrabartty,“ Far-field Acoustic Source Localization and Bearing Estimation using Sigma-delta Learners”, IEEE Transactions of Circuits and Systems I, vol. 57, no:4, pp. 783-792, 2010, DOI: 10.1109/TCSI.2009.2027627. (pdf).
  • A.Gore, S. Chakrabartty, “Min-Max Optimization Framework for Designing SigmaDelta Learners: Theory and Hardware”, IEEE Transactions of Circuits and Systems I, vol. 57, no: 3, pp. 604-617, 2010, DOI: 10.1109/TCSI.2009.2025002. (pdf).
  • T. Hindo, S. Chakrabartty, “Noise-exploitation in Neuromorphic Sensors”, Engineered Biomimicry: Bioinspiration, Biomimetics and Bioreplication, eds. A. Lakhtakia, R.J. Martin-Palma, Elsevier, 2013.
  • S. Chakrabartty, “Approaching limits of sensing using neuromorphic noise-exploitation principles”, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, San Diego, California, 2013.
  • S. Chakrabartty, “Reproducing Kernel-based Methods for Extracting and Identifying Noise-robust Speech Features”, IEEE Asilomar Conference on Signal, Systems and Computers, Nov. 2012.
  • K. Aono, R. Shaga, S. Chakrabartty, “Exploiting Jump-Resonance Hysteresis in Silicon Cochlea for Formant Trajectory Encoding”, IEEE Proc. Of 55th International Midwest Symposium on Circuits and Systems, Boise, Idaho, 2012.
  • R. Shaga, S. Chakrabartty, “Sigma-Delta Gradient-Descent Learning for Online Real-Time Calibration of Digitally-Assisted Analog Circuits”, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2012), Seoul, South Korea, 2012.
  • T. Hindo, S. Chakrabartty, “Noise-exploitation in Neuromorphic Sensors”, Biomimetics, Bioreplication and Bioinspiration Conference, Proc. Of SPIE (2012), San Diego, 2012.
  • A. Fazel, S. Chakrabartty, Sparse Kernel Cepstral Coefficients (SKCC): Inner-Product Based Features for Noise-Robust Speech Recognition, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2011), Rio de Janiero, 2011.
  • A. Fazel, S.Chakrabartty, Sigma-Delta Learning for Super-resolution Source Separation on High-density Microphone Arrays, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2010), Paris, 2010.
  • S.Chakrabartty, S.C. Liu, Exploiting Spike-based Dynamics in a Silicon Cochlea for Speaker Identification, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2010), Paris, 2010.
  • S.Chakrabartty, Multiple-input multiple-output (MIMO) analog-to-feature converter chipsets for sub-wavelength acoustic source localization and bearing estimation, Proc. of SPIE Symposium on Defense, Security and Sensing, Orlando, April 2010.
  • A. Fazel, S. Chakrabartty, Non-Linear Filtering in Reproducing Kernel Hilbert Spaces for Noise-Robust Speaker Verification, Proc. of IEEE International Symposium on Circuits and Systems (ISCAS), Taipei, Taiwan, 2009.
  • S. Chakrabartty and A.Gore, Sigma-Delta Analog to LPC Feature Converters for Portable Recognition Interfaces, Proc. of IEEE International Symposium on Circuits and Systems, Taipei, Taiwan, 2009.
  • A. Fazel , S. Chakrabartty, Sigma-Delta Learning for Super-Resolution Independent Component Analysis, IEEE International Symposium on Circuits and Systems (ISCAS), Seattle, WA, 2008.
  • A. Fazel , S. Chakrabartty, Sigma-Delta Resolution Enhancement for Far-field Acoustic Source Separation, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, NV, 2008.
  • A. Gore and S. Chakrbartty , Large Margin Analog-to-digital converters with applications in Neural Prosthetics,  Adv. Neural Information Processing Systems (NIPS’2006).
  • S. Chakrbartty, A.Gore and K.Oweiss, An Adaptive multiple-input multiple-output sigma-delta converter for high-density neuroposthetic electrode arrays, IEEE Conference on Engineering in Medicine and Biology (EMBC 2006), New York.  
  • R. J. Vogelstein, K. Murari, K.; P.H. Thakur, C. Diehl, S. Chakrabartty, G. Cauwenberghs, Spike sorting with support vector machines, IEEE Conference on Engineering in Medicine and Biology (EMBC 2004),Volume 1,  2004 Page(s):546 – 549 Vol.1.

  Machine Learning and Analog processors

  • O. Chatterjee, S. Chakrabartty, Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems, IEEE Transactions of Neural Networks and Learning Systems, 2020.
  • O. Chatterjee, and S. Chakrabartty, “Global Optimization based on Growth Transform Dynamical System Model”, IEEE Transactions of Neural Networks and Learning Systems, 2018.
  • A. Gangopadhyay, O. Chatterjee, S. Chakrabartty, “Extended Polynomial Growth Transforms for Design and Training of Generalized Support Vector Machines”, IEEE Transactions of Neural Networks and Learning Systems, 2017, DOI: 10.1109/TNNLS.2017.2690434. (PDF)
  • M. Gu, S. Chakrabartty, “Sub-threshold, Varactor-driven CMOS Floating-gate Current Memory Array with less than 150ppm/K Temperature Sensitivity”, IEEE Journal of Solid-State Circuits, Nov. 2012. (PDF)
  • M. Gu, S. Chakrabartty, “Synthesis of Bias-Scalable Analog Computing Circuits based on Margin Propagation”, IEEE Transactions of Circuits and Systems-I, vol. 69, no:2, 2011. DOI:10.1109/TCSI.2011.2163968. (pre-print).
  • M. Gu, S. Chakrabartty, An Adaptive, 100pJ/bit, (32,8,4), “Analog LDPC Decoder based on Margin Propagation”, IEEE Journal of Solid-State Circuits, vol. 46, no:6, pp.1433-1442, 2011. (pre-print).
  • A. Fazel, S. Chakrabartty, “Statistical Pattern Recognition Techniques for Speaker Verification”, IEEE Circuits and Systems Magazine. vol: 11, no:2, pp. 62-81, 2011. (pdf).
  • S. Chakrabartty, G.Cauwenberghs, “A Sub-microwatt Analog VLSI Trainable Pattern Classifier”, IEEE Journal of Solid-State Circuits, vol. 42, no: 5, May 2007. (pdf).
  • S. Chakrabartty and G. Cauwenberghs, “Gini-Support Vector Machine: Quadratic Entropy Based Multi-class Probability Regression”, Journal of Machine Learning Research, Volume 8, pp. 813-839, April 2007. (pdf).
  • V. Venkataramani, S. Chakrabartty , and W. Byrne, “Gini-Support Vector Machines for Segmental Minimum Bayes Risk Decoding of Continuous Speech, Computer Speech and Language”, Volume 21, Issue 3, July 2007, pp. 423-442. (pdf).
  • S. Chakrabartty, Y. Deng and G. Cauwenberghs, “Robust Speech Feature Extraction by Growth Transformation in Reproducing Kernel Hilbert Space”, IEEE Transactions on Speech, Language and Acoustics, pp.1842-1849, Vol. 15 Issue: 6, Aug. 2007. (pdf).
  • C. Kong and S.Chakrabartty, “Analog Iterative Decoders based on Margin Propagation”, IEEE Transactions on Circuits and Systems II, pp. 1140-1144, Vol. 54, no. 12, Dec. 2007. (pdf).
  • R. Genov, S. Chakrabartty and G.Cauwenberghs, “Silicon Support Vector Machine with On-Line Learning”, Int. J. Pattern Recognition and Artificial Intelligence, vol. 17 (3), pp. 385-404, 2003. (pdf).
  • A. Gangopadhyay; O. Chatterjee ; S. Chakrabartty, “Continuous-time Optimization using Sub-threshold Current-mode Growth Transform Circuits”, 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS)
  • L. Zhou, S. Chakrabartty, “ Design of Low-Gm Transconductors using Varactor-based Degeneration and Linearization Technique, IEEE Conference on Biomedical Circuits and Systems (BioCAS 2015), Atlanta, USA, 2015.
  • L. Zhou, S. Chakrabartty, “A Continuous-time Varactor-based Temperature Compensation Circuit for Floating-gate Multipliers and Inner-product Circuits”, IEEE Symposium on Circuits and Systems (ISCAS 2015), Lisbon, Portugal, 2015.
  • L. Zhou, S. Chakrabartty, “A 7-Transistor-Per-Cell, High-Density Analog Storage Array with 500uV Update Accuracy and Greater Than 60dB Linearity”, IEEE Symposium on Circuits and Systems (ISCAS 2014), Melbourne, Australia, 2014.
  • M. Gu, S. Chakrabartty, “A Bias-Scalable Current-Mode Analog Support Vector Machine Based on Margin Propagation”, IEEE Symposium on Circuits and Systems (ISCAS 2014), Melbourne, Australia, 2014.
  • M. Gu, S. Chakrabartty, “ A 120dB Input Dynamic Range, Current-Input Current-Output CMOS Logarithmic Amplifier with 230ppm/K Temperature Sensitivity”, IEEE Midwest Symposium on Circuits and Systems (MWSCAS 2013), Columbus, Ohio, 2013.
  • M. Gu, S. Chakrabartty, “ Bias-Scalable Inner-Product Approximation Circuit Using Analog Margin Propagation”, IEEE Midwest Symposium on Circuits and Systems (MWSCAS 2013), Columbus, Ohio, 2013.
  • M. Gu, S. Chakrabartty, “Varactor-Driven Temperature Compensation of CMOS Floating-Gate Current Memory”, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2012), Seoul, South Korea, 2012.
  • M. Gu, S. Chakrabartty, An Adaptive Analog Low-Density Parity-Check Decoder Based on Margin Propagation, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2011), Rio de Janiero, 2011.
  • C. Huang, S.Chakrabartty, A Temperature Compensated Array of CMOS Floating-Gate Analog Memory, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2010), Paris, 2010.
  • M. Gu, K. Misra, H. Radha, S. Chakrabartty, Sparse Decoding of Low-density Parity Check Codes based on Margin Propagation, Proc. of IEEE Globecomm, Honolulu, HI, 2009.
  • C. Huang and S. Chakrabartty, Reducing Indirect Programming Mismatch Due to Oxide-Traps Using Dual-Channel Floating-Gate Transistors, Proc. of IEEE International Symposium on Circuits and Systems, Taipei, Taiwan, 2009.
  • M. Shi, A.Abbas, S. Chakrabartty and G. Cauwenberghs, An Analog Wavelet Transform CMOS APS Imager Chip, Proc. of IEEE International Symposium on Circuits and Systems, Taipei, Taiwan, 2009.
  • P. Kucher and S. Chakrabartty , An Energy-Scalable Margin Propagation-Based Analog VLSI Support Vector Machine,  IEEE Symposium on Circuits and Systems (ISCAS’2007), New Orleans 2007.
  • C. Kong and S.Chakrabartty, Analog Margin Propagation based Iterative LDPC Decoders, Analog Decoding Workshop, Torino, Italy 2006.
  • S. Chakrabartty, CMOS analog iterative decoders using margin propagation circuits, Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS 2006), 21-24 May 2006
  • P. Kucher and S. Chakrabartty, An Adaptive CMOS Imager with Time-based Compressive Active-pixel Response , Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS 2006), 21-24 May 2006.
  • A. Gore and S. Chakrabartty, Online Calibration of Floating-gate Detectors for RFID Sensors, Midwest Symposium on Circuits and Systems 2005 (Invited Presentation), 7-10 Aug. 2005 Page(s):87 – 90 Vol. 1.
  • S. Chakrabartty and G. Cauwenberghs ,Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation, Adv. Neural Information Processing Systems (NIPS’2004), Cambridge: MIT Press, 17, 2005
  • S. Chakrabartty and G. Cauwenberghs, Fixed-current Method for Programming Large Floating Gate Arrays , Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS 2005), 23-25 May 2005.
  • S. Chakrabartty and G. Cauwenberghs, Margin Propagation and Forward Decoding in Analog VLSI, Proc. IEEE Int. Symp. Circuits and Systems (ISCAS’2004), Vancouver Canada, 2004.
  • Y. Deng, S. Chakrabartty and G. Cauwenberghs, A Three Decades Programmable Fully Differential OTA Design, Proc. IEEE Int. Symp. Circuits and Systems (ISCAS’2004), Vancouver Canada, 2004.
  • S. Chakrabartty, Y. Deng and G. Cauwenberghs, Robust Speech Feature Extraction by Growth Transformation in Reproducing Kernel Hilbert Space,  Proc. IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP’2004), Montreal Canada, 2004.
  • V. Venkataramani, S. Chakrabartty and W. Byrne, Support Vector Machines for Segmental Minimum Bayes Risk Decoding of Continuous Speech, IEEE Automatic Recognition and Understanding Wokshop (ASRU’03)  St. Thomas, U.S. Virgin Islands, Nov. 30-Dec. 4, 2003.
  • S. Chakrabartty, G. Cauwenberghs and Jayadeva, Sparse Probability Regression by Label Partitioning, Proc. 16th Conf. Computational Learning Theory (COLT’03), Washington DC, Aug. 24-27, 2003.
  • S. Chakrabartty and G. Cauwenberghs, Power Dissipation Limits and Large Margin in Wireless Sensors, Proc. IEEE Int. Symp. Circuits and Systems (ISCAS’2003), Bangkok Thailand, May 25-28, 2003.
  • S. Chakrabartty, M. Yagi, T. Shibata and G. Cauwenberghs, Robust Cephalometric Landmark Identification Using Support Vector Machines, Proc. IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP’2003), Hong Kong, Apr. 6-10, 2003.
  • S. Chakrabartty and G. Cauwenberghs, Expectation Maximization of Forward Decoding Kernel Machines, Proc. 9th Int. Workshop Artificial Intelligence and Statistics (AISTATS’2003), Key West FL, Jan. 3-6, 2003.
  • S. Chakrabartty and G. Cauwenberghs, Forward-Decoding Kernel-Based Phone Sequence Recognition, Adv. Neural Information Processing Systems (NIPS’2002), Cambridge: MIT Press, vol. 15, 2003.
  • S. Chakrabartty and G. Cauwenberghs, Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition,  Proc. SVM’2002, Lecture Notes in Computer Science, vol. 2388, pp. 278-292, 2002.
  • S. Chakrabartty and G. Cauwenberghs, Sequence Estimation and Channel Equalization Using Forward Decoding Kernel Machines, Proc. IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP’2002), Orlando FL, May 13-17, 2002.
  • S. Chakrabartty and G. Cauwenberghs, Hybrid Support Vector Machine, Hidden Markov Model Approach for Continuous Speech Recognition, Proc. 43rd IEEE Midwest Symp. Circuits and Systems (MWSCAS’2000), Lansing MI, August 8-11, 2000.
  • S. Chakrabartty, M. Stanacevic and T.D. Tran, Adaptive Image Database Using Wavelets,  Proc. 34th IEEE Asilomar Conference on Signals,Systems and Computers, vol. 2, pp. 1856-1860, Pacific Grove, Oct. 2000.

  Energy-Harvesting and Wireless Telemetry

  • S. Kondapalli, S. Chakrabartty, Sub-Nanowatt Ultrasonic Bio-Telemetry Using B-Scan Imaging, IEEE Open Journal of Engineering in Medicine and Biology, vol. 2, pp. 17-25, 2021. DOI: 10.1109/OJEMB.2021.3053174.
  • Y. Alazzawi, O. Chatterjee, S. Chakrabartty, A compact and energy-efficient ultrasound receiver using PTAT reference circuit, Microelectronics Journal Vol. 94, Dec. 2019.
  • Y. Alazzawi, K. Aono, E.L. Scheller, and S. Chakrabartty, “Exploiting Self-Capacitances for Wireless Power Transfer”, IEEE Transactions on Biomedical Circuits and Systems, vol. 13, no: 2, pp. 425-434, 2019.
  • S. Kondapalli, X. Zhang, S. Chakrabartty, “Energy Dissipation Limits in Variance-based Computing”, Fluctuations and Noise Letters, 2018. (PDF).
  • S. Kondapalli, Y. Alazzawi, M. Malinowski, T. Timek, S. Chakrabartty, “Multi-access In- vivo Biotelemetry using Sonomicrometry and M-scan Ultrasound Imaging”, IEEE Transactions on Biomedical Engineering, 2017, DOI: 10.1109/TBME.2017.2697998 (PDF)
  • S Das, H Salehi, Y Shi, S Chakrabartty, R Burgueno, S Biswas, “Towards packet-less ultrasonic sensor networks for energy-harvesting structures”, Computer Communications 101, 94-105, 2016.
  • T. Feng*, N. Lajnef, S. Chakrabartty, “Design of a CMOS System-on-Chip for Passive, Near-field Ultrasonic Energy Harvesting and Back-telemetry”, IEEE Transactions on Very Large Scale Integration, 2015, DOI: 10.1109/TVLSI.2015.2401037. (PDF)
  • T. T. Nguyen, T. Feng, P. Häfliger, S. Chakrabartty, “Hybrid CMOS Rectifier based on Synergistic RF-Piezoelectric Energy Scavenging”, IEEE Transactions of Circuits and Systems II, vol. 61, no: 12, pp.3330-3338, 2014. (PDF)
  • Pochettino, O.; Kondapalli, S. H.; Aono, K.; and Chakrabartty, S. , “Real-time Infrastructure-to-Vehicle Communication using RF-Triggered Wireless Sensors.” In 62nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2019, Dallas, TX, USA, August 4-7, 2019, pages 556–559, 2019.
  • Kondapalli, S. H.; Pochettino, O.; Aono, K.; and Chakrabartty, S., “Hybrid-Powered Internet-of-Things for Infrastructure-to-Vehicle Communication.”, IEEE 61st International Midwest Symposium on Circuits and Systems, MWSCAS 2018, Windsor, ON, Canada, August 5-8, 2018, pages 1000–1003, 2018.
  • S. Kondapalli, X. Zhang, S. Chakrabartty, “ Variance-Based Digital Logic for Energy Harvesting Internet-of-Things, IEEE Symposium of Circuits and Systems (ISCAS2017), Baltimore, USA, 2017.
  • Y. Alazzawi, S. Chakrabartty, “Design of CMOS Telemetry Circuits for In-vivo Wireless Sonomicrometry, IEEE Symposium of Circuits and Systems (ISCAS 2016), Montreal, Canada, 2016.
  • Y. Alazzawi, C. Qian, S. Chakrabartty, “ Feasibility of Non-Contact Ultrasound Generation using Implanted Metallic Surfaces as Electromagnetic Acoustic Transducers, IEEE Conference on Biomedical Circuits and Systems (BioCAS 2015), Atlanta, USA, 2015.
  • B. Fang, T. Feng, M. Zhang, S. Chakrabartty, “ Feasibility of B-mode Diagnostic Ultrasound Energy Transfer and Telemetry to a cm2 sized Deep-tissue Implant”, IEEE Symposium on Circuits and Systems (ISCAS 2015), Lisbon, Portugal, 2015.
  • F. Tao, S. Chakrabartty, “Analysis and Design of High-Efficiency Inductive Power-links Using a Novel Matching Strategy”, IEEE Proc. Of 55th International Midwest Symposium on Circuits and Systems, Boise, Idaho, 2012.
  • C. Huang and S. Chakrabartty, Low-threshold Voltage Multipliers based on Floating-gate Charge-pumps, IEEE Biomedical Circuits and Systems Conference, Baltimore, USA, 2008.

  Biosensors and Biomolecular Communications

  • R. Gupta, J. Luan, S. Chakrabartty, E.L. Scheller, J. Morrissey, S. Singamaneni, Refreshable Nanobiosensor Based on Organosilica Encapsulation of Biorecognition Elements. ACS applied materials & interfaces. 2020 12(5):5420-5428.
  • M. Yuan, Q. Jiang, K-k Liu, S. Singamaneni, and S. Chakrabartty, “Towards an Integrated QR Code Biosensor: Light-Driven Sample Acquisition and Bacterial Cellulose Paper Substrate”, IEEE Transactions on Biomedical Circuits and Systems, vol. 12, no. 3, pp. 452-460, 2018.
  • M. Yuan, K-K. Lu, S. Singamaneni, S. Chakrabartty, “Self-powered Forward Error-correcting Biosensor based on Integration of Paper-based Microfluidics and Self- assembled Quick Response Codes”, IEEE Transactions of Biomedical Circuits and Systems, vol. 10, no:5, pp. 963-971, 2016. (PDF)
  • M. Yuan, E.C. Alocilja, S.Chakrabartty, Self-powered Wireless Affinity-based Biosensor based on Integration of Paper-based Microfluidics and Self-assembled RFID Antennas”, IEEE Transactions of Biomedical Circuits and Systems, 2016, DOI: 10.1109/TBCAS.2016.2535245. (PDF)
  • H. Khan, S. Chakrabartty, “On the Channel Capacity of High-Throughput Proteomic Microarrays”, IEEE Transactions on Molecular, Biological and Multi-Scale Communications, vol: 1, no: 1, 2015. (PDF)
  • M. Yuan, P. Chahal, E.C Alocilja, S. Chakrabartty, “Wireless Biosensing Using Silver- Enhancement Based Self-assembled Antennas in Passive Radio Frequency Identification (RFID) Tags”, IEEE Sensors Journal, vol: 15, no: 8, pp. 4442-4450, 2015. (PDF)
  • M. Yuan, Alocilja E. C., S. Chakrabartty, “A Novel Biosensor based on Silver-enhanced Self-assembled Radio-frequency Antennas”, IEEE Sensors Letters, vol. 14, no: 4, pp. 941-942, 2014.
  • M. Gu, S. Chakrabartty, “FAST: A Framework for Simulation and Analysis of Large-scale Protein-Silicon Biosensor Circuits”, IEEE Transactions of Biomedical Circuits and Systems, vol.7, no:4, 2013. (PDF)
  • Y. Liu, M. Gu, E.C. Alocilja, S. Chakrabartty, “Co-detection: Ultra-reliable Nanoparticle-Based Electrical Detection of Biomolecules in the Presence of Large Background Interference”, Biosensors and Bioelectronics, Vol. 26, No:3, pp.1087-1092, 2010. (pdf).
  • Y. Liu, E.C. Alocilja, S. Chakrabartty, “Biomolecules Detection using a Silver-Enhanced Gold Nanoparticle-Based Biochip”, Nano Research Letters, 2010, DOI 10.1007/s11671-010-9542-0. (pdf).
  • Y.Liu, S.Chakrabartty, Factor “Graph based Biomolecular Circuit Analysis for Designing Forward Error Correcting Biosensors”, IEEE Transactions of Biomedical Circuits and Systems, vol. 3, no. 3, pp.150-159, June 2009. (pdf).
  • Y. Liu, A. Gore, S. Chakrabartty, and E. C.Alocilja, “Characterization of Sub-systems of a Molecular Bio-wire based Biosensor Device”, Microchimica, 2008, DOI: 10.1007/s00604-008-0950-0. (pdf).
  • Y. Liu, S. Chakrabartty, and E. C.Alocilja, “Fundamental Building Blocks for Molecular Bio-wire based Forward-error Correcting Biosensors”, Nanotechnology, 18, (2007), 4240172. (pdf).
  • Y. Zuo; S. Chakrabartty, S. Pal, Z. Tahir,E.C. Alocilja, “Spatio-temporal Processing of Multi-channel Biosensors using Support Vector Machines”, IEEE Sensors Journal, Volume 6, Issue 6, Page(s): 1644-1651, Dec 2006. (pdf).
  • Y. Liu, E.C. Alocilja, S. Chakrabartty, Integrated Nano-bio-VLSI Approach for Designing Error-free Biosensors, Nano-biosensing, eds. Sandro Carrara, Springer, 2010.
  • M. Yuan, S. Singamaneni, S. Chakrabartty, “ Analyte Sampling in Paper Biosensors Powered by Graphite-Based Light Absorption” IEEE Symposium of Circuits and Systems (ISCAS 2017), Baltimore, USA, 2017.
  • M. Yuan, E.C. Alocilja, S. Chakrabartty, “ Self-powered Wireless Biosensing based on Integration of Paper-based Microfluidics with Self-assembling RFID Antennas, IEEE Conference on Biomedical Circuits and Systems (BioCAS 2015), Atlanta, USA, 2015.
  • M. Yuan, P. Chahal, E.C. Alocilja, S. Chakrabartty, “Sensing by Growing Antennas: A Novel Approach for Designing Passive RFID based Biosensors”, IEEE Symposium on Circuits and Systems (ISCAS 2015), Lisbon, Portugal, 2015.
  • M.Gu, Y. Liu, S.Chakrabartty, Fast: a Simulation Framework for Solving Large-Scale Probabilistic Inverse Problems in Nano-Biomolecular Circuits, Proc. of IEEE Symposium of Circuits and Systems (ISCAS 2010), Paris, 2010.
  • Y. Liu, E. Alocilja, S. Chakrabartty, Exploiting Sub-Threshold and Above-Threshold Characteristics in a Silver-Enhanced Gold Nanoparticle Based Biochip, Proc. of IEEE Conference on Engineering in Medicine and Biology, Minneapolis, 2009.
  • Y. Liu, E. Alocilja, S. Chakrabartty, Co-detection in Forward Error Correcting Biosensors, Nano-DDS Conference, FL, 2009.
  • Y. Liu, E. Alocilja, S. Chakrabartty, Time-based Forward Error Correcting Biosensors, Nano-DDS Conference, FL, 2009.
  • Y. Liu, D. Zhang, E. C.Alocilja, and S. Chakrabartty, Design and Characterization of a Silver-Enhanced Gold Nanoparticle-Based Biochip, Proc. of IEEE International Symposium on Circuits and Systems, Taipei, Taiwan, 2009.
  • Y. Liu, E. C.Alocilja and S. Chakrabartty,  Forward Error Correcting Biosensors: Modeling, Algorithm, and Fabrication, IEEE Biomedical Circuits and Systems Conference, Baltimore, USA, 2008.
  • S. Chakrabartty and Y. Liu, Towards Reliable Multi-pathogen Biosensors using High-dimensional Encoding and Decoding Techniques, SPIE Symposium on NanoScience+Engineering, San Diego, CA, 2008.
  • Y. Liu, S. Chakrabartty, E. C.Alocilja, A Multiplexed Biosensor based on Biomolecular Nanowires, IEEE International Symposium on Circuits and Systems , Seattle, USA, 2008.
  • Y. Liu, S. Chakrabartty, Computer Aided Simulation and Verification of Forward Error Correcting Biosensors, IEEE International Symposium on Circuits and Systems , Seattle, USA, 2008.
  • Y. Liu, A. Gore, S. Chakrabartty, E. C.Alocilja, A Molecular Bio-wire based Multi-array Biosensor with Integrated potentiostats, IEEE Biomedical Circuits and Systems Conference, pp. 29-32, Montréal, Canada, Nov.2007.
  • Y. Liu, S. Chakrabartty, D. S. Gkinosatis, A. K.Mohanty, and N. Lajnef, Multi-walled Carbon Nanotubes/Poly(L-lactide) Nanocomposite Strain Sensor for Biomechanical Implants, IEEE Biomedical Circuits and Systems Conference, pp. 119-122, Montréal, Canada, Nov.2007.
  • Y. Liu, A. Gore, S. Chakrabartty, E. C.Alocilja, A Molecular Bio-wire based Multi-array Biosensor with Integrated potentiostats, IEEE Biomedical Circuits and Systems Conference, pp. 29-32, Montréal, Canada, Nov.2007. (Invited)
  • Y. Liu , D. S. Gkinosatis, A. K.Mohanty, and S. Chakrabartty, Carbon Nanotube/Polylactide Nanocomposites for Wearable Strain Sensors, Nano and Giga Challenges in Electronics and Photonics, Phoenix, Arizona, March, 2007, U.S.A
  • C. Kun, S. Chakrabartty and A. Mason, A Dynamic Reconfigurable A/D Converter for Sensor Applications , IEEE Sensors Conference, 30 Oct.-3 Nov. 2005.

  Biomedical Instrumentation

  • D. Saha, D. Mehta, E. Atlan, R. Chandak, M. Traner, R. Lo, P. Gupta, S. Singamaneni, S. Chakrabartty, B. Raman, “Explosive sensing with insect-based biorobots”, bioRxiv, 2020, doi: https://doi.org/10.1101/2020.02.10.940866.
  • Y. Alazzawi, O. Chatterjee, S. Chakrabartty, A compact and energy-efficient ultrasound receiver using PTAT reference circuit, Microelectronics Journal Vol. 94, Dec. 2019.
  • H. A. Khan, A. Gore, J. Ashe and S. Chakrabartty, “ Virtual Spirometry and Activity Monitoring using Multi-channel Electrical Impedance Plethysmographs in Ambulatory Settings”, IEEE Transactions of Biomedical Circuits and Systems, 2017 (PDF).
  • M. Gu, S. Chakrabartty, “Design of a Programmable Gain, Temperature Compensated Current-input Current-output CMOS Logarithmic Amplifier”, IEEE Transactions of Biomedical Circuits and Systems, vol.8, no: 3, pp.423-431, 2014. (PDF)
  • C. Huang, P. Sarkar, S. Chakrabartty, “Rail-to-Rail Hot-electron Injection Programming of Floating-gate Voltage Bias Generators at a Resolution of 13 bits”, IEEE Journal of Solid-State Circuits, vol.46, no:11, 2011, DOI:10.1109/JSSC.2011.2167390. (pdf).
  • C. Huang, S. Chakrabartty, “A current-input current-output CMOS logarithmic amplifier based on translinear Ohm’s law”, Electronics Letters, vol. 47, no:7, pp.433-434, 2011. (pdf).
  • A. Gore, S. Chakrabartty, S. Pal, E.C. Alocilja, “A Multichannel Femtoampere-Sensitivity Potentiostat Array for Biosensing Applications”, IEEE Transactions on Circuits and Systems I: Regular Papers,Volume 53, Issue 11,Nov. 2006 Page(s):2357-2363. (pdf).
  • B. Scheid, S. Chakrabartty, “Feasibility of Hybrid Ultrasound-Electrical Nerve Stimulation for Electroceuticals”, IEEE Symposium of Circuits and Systems (ISCAS 2017), Baltimore, USA, 2017.
  • D. Mehta, A. Ege, B. Raman, S. Chakrabartty, “ Behaving Cyborg Locusts for Standoff Chemical Sensing, IEEE Symposium of Circuits and Systems (ISCAS 2017), Baltimore, USA, 2017.
  • A.Gore, S.Chakrabartty, S. Pal and E. Alocilja, A Multi-channel Femtoampere Sensitivity Conductometric Array for Biosensing Applications, IEEE Conference on Engineering in Medicine and Biology (EMBC 2006), New York.