COVID-19 Information

Rahul Sarpeshkar

Thomas E. Kurtz Professor
Professor of Engineering
Professor of Microbiology & Immunology
Professor of Physics
Professor of Molecular & Systems Biology
Chair, Neukom Cluster of Computational Science

​Office: Vail 507A, Geisel School of Medicine

rahul.sarpeshkar@dartmouth.edu

Overview

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 emulate or are inspired by biological and quantum computation in his dry lab. His fundamental work has been applied to implantable medical devices, synthetic biology, systems biology, neural prosthetics, bio-inspired, and ultra-energy-efficient systems. His research group members have originated from a wide variety of disciplines including physics, bioengineering, microbiology, computer science, and analog circuit engineering.

Professor Sarpeshkar is Dartmouth's inaugural Thomas E. Kurtz Professor and Chair of the Neukom Computational Science Cluster. He is a Professor of Engineering, Physics, Microbiology & Immunology, and Molecular & Systems Biology. He has published over 140 research articles, holds 43 patents, and has authored a leading textbook on analog circuits and bioelectronic systems. Prior to his joining Dartmouth, he was a tenured and award-winning professor at MIT.


Analog Supercomputers: From Quantum Atom to Living Body | Rahul Sarpeshkar | TEDxDartmouth

Research & Job Opportunities

Education

Research Interests

Analog synthetic biology; biological and bio-inspired super-computing chip design; quantum circuit design, quantum computation, and hybrid quantum-classical computation; feedback control systems; medical devices; ultra-low-power, fault tolerant, and ultra-energy-efficient systems; engineering systems that operate at the fundamental limits of physics

Teaching

Books

Selected Publications

  1. J. Zeng, J. Teo, A. Banerjee, T.W. Chapman, J. Kim, R. Sarpeshkar, “A Synthetic Microbial Operational Amplifier,” ACS Synth Biol. 2018 Sept 21; 7(9):2007-2013. Doi:10.1021/acssynbio.8b0013
  2. A. Banerjee, I. Weaver, T. Thorson, R. Sarpeshkar. Bioelectronic measurement and feedback control of molecules in living cells. 2017. Scientific Reports. 7.12511. Doi:10.1038/s41598-017-12655-2
  3. 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/nature12148
  4. S.S. Woo, J. Kim, and R. Sarpeshkar, "A Digitally Programmable Cytomorphic Chip for Simulation of Arbitrary Biochemical Reaction Networks," IEEE Transactions on Biomedical Circuits and Systems, Vol. 12, No. 2, February 2018.
  5. J. Kim, S.S. Woo, and R. Sarpeshkar, "Fast and Precise Emulation of Stochastic Biochemical Reaction Networks With Amplified Thermal Noise in Silicon Chips," IEEE Transactions on Biomedical Circuits and Systems, Vol. 12, No. 2, February 2018.
  6. R. Sarpeshkar, "Emulation of Quantum and Quantum-Inspired Spectrum Analysis and Superposition With Classical Transconductor-Capacitor Circuits", U.S. Patent No. 10,204,199 B2. Issued Feb. 12th 2019.
  7. R. Sarpeshkar, “A Quantum Cochlea for Efficient Spectrum Analysis”, U.S. Patent No. 10,248,748 B2. Issued Apr. 2nd 2019.
  8. R. Sarpeshkar, “Emulation of Quantum and Quantum-Inspired Discrete-State Systems with Classical Transconductor-Capacitor Circuits”, U.S. Patent No. 10,275,556 B2. Issued April 30th 2019
  9. R. Sarpeshkar, “Emulation of Quantum and Quantum-Inspired Dynamical Systems with Classical Transconductor-Capacitor Circuits”, U.S. Patent App. 15826084, Filed Nov. 29th 2017. Provisional App. 62427776, Filed November 29th 2016.
  10. S. Mandal and R. Sarpeshkar, “A Simple Model for the Thermal Noise of Saturated MOSFETs at All Inversion Levels," IEEE Journal of the Electron Devices Society, Vol. 5, No. 6, pp. 458–465, Nov. 2017. 
  11. 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.
  12. 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.
  13. R. Sarpeshkar, “Analog Synthetic Biology,” Philosophical Transactions of the Royal Society A, 372: 20130110, 2014.
  14. 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.
  15. 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.
  16. 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.

Awards

Selected Patents

  1. R. Sarpeshkar, "Emulation of Quantum and Quantum-Inspired Spectrum Analysis and Superposition With Classical Transconductor-Capacitor Circuits", U.S. Patent No. 10,204,199 B2. Issued Feb. 12th 2019.
  2. R. Sarpeshkar, “A Quantum Cochlea for Efficient Spectrum Analysis”, U.S. Patent No. 10,248,748 B2. Issued Apr. 2nd 2019.
  3. R. Sarpeshkar, “Emulation of Quantum and Quantum-Inspired Discrete-State Systems with Classical Transconductor-Capacitor Circuits”, U.S. Patent No. 10,275,556 B2. Issued April 30th 2019
  4. R. Sarpeshkar, “Emulation of Quantum and Quantum-Inspired Dynamical Systems with Classical Transconductor-Capacitor Circuits”, U.S. Patent App. 15826084, Filed Nov. 29th 2017. Provisional App. 62427776, Filed November 29th 2016.

News

In Dartmouth Engineer Magazine

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