Rahul Sarpeshkar

Thomas E. Kurtz Professor
Professor of Physics
Professor of Engineering, Microbiology & Immunology, and Physiology & Neurobiology

Professor Sarpeshkar's interdisciplinary research uses analog circuits and analog computation as a universal language to design advanced quantum, bio-molecular, and nano-electronic circuits and systems, from atom to living cell. These systems are experimentally implemented in living synthetic microbial DNA-RNA-protein circuits in his wet lab, and in nano-electronic supercomputing chips that simulate biological and quantum computation in his dry lab. They also aid in the design of novel superconducting or NMR dynamical systems. Many common circuit themes in analog, physical, and biological computation include noise and thermodynamics, fault tolerance, feedback control, back action and loading, entanglement and correlation, precision measurement,  nonlinear dynamics, robustness-efficiency tradeoffs, scalability,  and hybrid quantum-classical operation.

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Professor Sarpeshkar is Dartmouth's inaugural Thomas E. Kurtz Professor and Chair of the Neukom Computational Science Cluster. He is a Professor of Physics, Engineering, Microbiology & Immunology, and Physiology & Neurobiology.  His fundamental work has applications in quantum computation and circuit design,  medicine, biotechnology, bio-inspired and ultra-energy-efficient systems. He has published 130 research articles, holds 36 patents, and ​has authored a leading textbook on analog and bioelectronic computation. Prior to his joining Dartmouth, he was a tenured and award-winning professor at MIT.

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Education: 
BS, Electrical Engineering and Physics, MIT
PhD, Computation and Neural Systems, California Institute of Technology

Selected publications

J. Teo, S. Woo, and R. Sarpeshkar. “Synthetic Biology: A Unifying View and Review Using Analog Circuits,” IEEE Transactions on Biomedical Circuits and Systems, Special Issue in Synthetic Biology, Vol. 9, No. 4, August 2015.

S. Woo and R. Sarpeshkar, “A Cytomorphic Chip for Quantitative Modeling of Fundamental Bio-molecular Circuits,” IEEE Transactions on Biomedical Circuits and Systems, Special Issue in Synthetic Biology, Vol. 9, No. 4, August 2015.

R. Sarpeshkar, “Analog Synthetic Biology,” Philosophical Transactions of the Royal Society A, 372: 20130110, 2014.

R. Daniel, J. R. Rubens, R. Sarpeshkar, and T. K. Lu, “Synthetic Analog Computation in Living Cells,” NATURE, Vol. 497:7451, pp. 619-623, 2013; doi:10.1038/nature1214

S. S. Woo and R. Sarpeshkar, “A Spiking-Neuron Collective Analog Adder with Scalable Precision,” Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1620-1623, Beijing, China, May 2013.

Benjamin I. Rapoport, Jakub T. Kedzierski, Rahul Sarpeshkar, “A Glucose Fuel Cell for Implantable Brain-Machine Interfaces,” PLoS ONE, Vol. 7, No. 6, e384386, 2012.

R. Sarpeshkar, “Ultra Low Power Bio-medical and Bio-inspired Systems,” in Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2011 Symposium, pp. 137-144, National Academy of Engineering, National Academies Press, 2012.

R. Sarpeshkar, “Universal Principles for Ultra Low Power and Energy Efficient Design,” IEEE Transactions on Circuits and Systems-II, Special Issue on Ultra-Low-Power Electronics, Vol. 59, No. 4, pp. 193-198, 2012.

S.K. Arfin and R. Sarpeshkar, “An Energy-Efficient, Adiabatic Electrode Stimulator with Inductive Energy Recycling and Feedback Current Regulation,” IEEE Transactions on Biomedical Circuits and Systems, Vol. 6, No. 1, pp. 1-14, 2012.

R. Danial, S. S. Woo, L. Turicchia, and R. Sarpeshkar, “Analog Transistor Models of Bacterial Genetic Circuits,” Proceedings of the 2011 IEEE Biological Circuits and Systems (BioCAS) Conference, pp. 333-336, San Diego, CA, November 2011.

K. H. Wee, L. Turicchia and R. Sarpeshkar, “An Articulatory Silicon Vocal Tract for Speech and Hearing Prostheses,” IEEE Transactions on Biomedical Circuits and Systems, Vol. 5, No. 4, pp. 339-346, 2011. doi:10.1109/TBCAS.2011.2159858

W. Wattanapanitch and R. Sarpeshkar, “A low-power 32-channel digitally-programmable neural recording system,” IEEE Transaction on Biomedical Circuits and Systems, Vol. 5, No. 6, pp. 592-602, 2011.

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Books

Ultra Low Power Bioelectronics: Fundamentals, Biomedical Applications, and Bio-inspired Systems, Rahul Sarpeshkar,  Cambridge University Press, 2010

Awards

NSF CAREER Award

ONR Young Investigator Award

Packard Fellow Award

Junior Bose Teaching Award, MIT

News

Award-Winning Scientist to Be First Faculty Cluster Chair,   Dartmouth Now,   July 7, 2015