IEEE Copyright Information: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Journal Papers (Chronological Order)

  • W. Li, J. Zhao, Y. Wang, C. Wang and S. Chakrabartty, “A Low-Power Impedance-to-Frequency Converter for Frequency-Multiplexed Wearable Sensors,” in IEEE Transactions on Biomedical Circuits and Systems, 2024, doi: 10.1109/TBCAS.2024.3362329.
  • P. Gupta, R. Chandak, A. Debnath, M. Traner, B. Watson, H. Huang, H.G. Derami, H. Baldi, S. Chakrabartty, B. Raman, S. Singamaneni, Augmenting insect olfaction performance through nano-neuromodulation. Nature Nanotechnology, 2024. https://doi.org/10.1038/s41565-023-01592-z
  • P. Kumar, A. Nandi, A. Saha, K.S.P. Teja, R. Das, S. Chakrabartty, C.S. Thakur, “ARYABHAT: A Digital-Like Field Programmable Analog Computing Array for Edge AI,” in IEEE Transactions on Circuits and Systems I: Regular Papers, 2024, doi: 10.1109/TCSI.2024.3349776.
  • R. Madhuvanthi Srivatsav, S. Chakrabartty and C. S. Thakur, Neuromorphic Computing with Address-Event-Representation using Time-to-Event Margin Propagation, in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023, doi: 10.1109/JETCAS.2023.3328916.
  • W. Li, Xiao, Z., Zhao, J., Aono, K., Pizzella, S., Wen, Z., Wang, Y., Wang, C., Chakrabartty, S., A Portable and a Scalable Multi-Channel Wireless Recording System for Wearable Electromyometrial Imaging, in IEEE Transactions on Biomedical Circuits and Systems, doi: 10.1109/TBCAS.2023.3278104.
  • M. Rahman, S. Chakrabartty, GPS-free synchronized pseudo-random number generators for internet-of-things, Frontiers of Computer Science, vol. 5, 20 March 2023, doi.org/10.3389/fcomp.2023.1157629
  • P. Kumar, A. Nandi, S. Chakrabartty and C. S. Thakur, Bias-Scalable Near-Memory CMOS Analog Processor for Machine Learning, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 13, no. 1, pp. 312-322, March 2023, doi: 10.1109/JETCAS.2023.3234570.
  • P. Kumar, A. Nandi, S. Chakrabartty and C. S. Thakur, Process, Bias, and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 70, no. 1, pp. 128-141, Jan. 2023, doi: 10.1109/TCSI.2022.3216287.
  • M. Rahman, S. Bose, S. Chakrabartty, On-device synaptic memory consolidation using Fowler-Nordheim quantum-tunneling, Frontiers of Neuroscience, Vol. 16–2023, https://doi.org/10.3389/fnins.2022.1050585.
  • M. Manosalvas-Paredes, K. Aono, S. Chakrabartty, J. Blanc, D. Lo Presti, K. Chatti, N. Lajnef, Validation of a Novel Sensing Approach for Continuous Pavement Monitoring Using Full-Scale APT Testing, Journal of Transportation Engineering, Part B: Pavements, vol: 149, no: 1, 2023/3/1
  • Gupta P, Gholami Derami H, Mehta D, Yilmaz H, Chakrabartty S, Raman B, Singamaneni S. In Situ Grown Gold Nanoisland-Based Chemiresistive Electronic Nose for Sniffing Distinct Odor Fingerprints. ACS Appl Mater Interfaces. 2022 Jan 19;14(2):3207-3217. doi: 10.1021/acsami.1c22173. Epub 2022 Jan 7. PMID: 34995447.
  • Lo LW, Zhao J, Aono K, Li W, Wen Z, Pizzella S, Wang Y, Chakrabartty S, Wang C. Stretchable Sponge Electrodes for Long-Term and Motion-Artifact-Tolerant Recording of High-Quality Electrophysiologic Signals. ACS Nano. 2022 Jul 21. doi: 10.1021/acsnano.2c04962.
  • D. Mehta, M. Rahman, K. Aono and S. Chakrabartty, An adaptive synaptic array using Fowler–Nordheim dynamic analog memory. Nature Communications 13, 1670 (2022). https://doi.org/10.1038/s41467-022-29320-6.
  • M. Rahman, L. Zhou and S. Chakrabartty, 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, 2022, doi: 10.1109/TIFS.2022.3158089.
  • A. R. Nair, P. K. Nath, S. Chakrabartty and C. S. Thakur, “Multiplierless MP-Kernel Machine for Energy-Efficient Edge Devices,” in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 30, no. 11, pp. 1601-1614, Nov. 2022, doi: 10.1109/TVLSI.2022.3189780.
  • Lo LW, Zhao J, Wan H, Wang Y, Chakrabartty S, Wang C. 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. Epub 2022 Feb 14. PMID: 35156792.
  • A. R. Nair, S. Chakrabartty and C. S. Thakur, In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers, in IEEE Internet of Things Journal, 2022, doi: 10.1109/JIOT.2021.3109739.
  • K. Barri, Q. Zhang, D. Mehta, S. Chakrabartty, R. Debski and A. H. Alavi, Studying the Feasibility of Postoperative Monitoring of Spinal Fusion Progress Using a Self-powered Fowler-Nordheim Sensor-Data-Logger, in IEEE Transactions on Biomedical Engineering, 2022, doi: 10.1109/TBME.2021.3103776.
  • 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.
  • H. Salehi, R. Burgueño, S. Chakrabartty, N. Lajnef, and A. H. Alavi, “A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends,” Engineering Structures, vol. 234, p. 111963, May 2021, doi: 10.1016/j.engstruct.2021.111963
  • 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 Commun 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).

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.