- Analog VLSI
- Energy Scavenging
- Neuro-Bio-Morphic Engineering
His research group focuses on three aspects of hybrid circuits and systems: MORPHING - Investigating neural inspired circuits; SYNTHESIS - Using hybrid computational elements (biological and silicon) to design biomolecular circuits and systems; MONITORING - Embedded and implantable monitoring of natural and engineered systems.
- S. Chakrabartty*, G.Cauwenberghs, A Sub-microwatt Analog VLSI Trainable Pattern Classifier, IEEE Journal of Solid-State Circuits, vol. 42, no: 5, May 2007.
- C. Huang, N.Lajnef, S. Chakrabartty*, Calibration and Characterization of Self-Powered Floating-Gate Usage Monitor 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.
- 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.
- Y. Liu, S. Chakrabartty*, and E. C.Alocilja, "Fundamental Building Blocks for Molecular Bio-wire based Forward-error Correcting Biosensors", Nanotechnology, 18, (2007), 4240172.
Selected Achievements and Awards
- Michigan State University, Teacher-Scholar Award, 2011
- NSF grant entitled, "Cooperative Learning-Unlearning Algorithms for identification of Robust Auditory Manifolds"
- National Science Foundation CAREER Award 2010 (Integrated Research and Education in Embedded and Implanted Structural Health Monitoring)
- S. Chakrabartty, ``Self-powered Strain-rate Sensor”, US Patent: 7,757,565, Issued Jul. 20, 2010.