Orientation Mug Shot
  • Associate Professor, Elect & Computer Engineering
  • Assistant Professor, Elect & Computer Engineering


  • Ph.D., Electrical Engineering, Stanford University. Project: Interface Electronics for Emerging Sensor Systems
  • M.S., Electrical Engineering, Stanford University
  • B.S., Electrical Engineering, University of Arizona
  • B.S., Computer Science, University of Arizona

Research Summary

Mixed signal integrated circuit design, neural engineering, neural interfaces, implantable devices, instrumentation and measurement methodologies, biomedical engineering, experimental physics and chemistry. See Website: http://issl.ece.utah.edu/


Ross M. Walker received the B.S. degrees in electrical engineering and computer science from the University of Arizona, Tucson, AZ, USA, in 2005 and the M.S. and Ph.D. degrees in electrical engineering from Stanford University, Stanford, CA, USA, in 2007 and 2013, respectively. Since 2013, he has been with the Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, USA, where he currently serves as Assistant Professor. His research interests include electronic circuits and systems, with a special emphasis on neuroscience and neural engineering applications. He currently serves as Chair of the IEEE Solid-State Circuits Society Utah Chapter, member of the IEEE Circuits and Systems Society Board of Governors, and member of the IEEE Biomedical and Life Science Circuits and Systems Technical Committee.

Selected Works

  • M. Sharma, A.T. Gardner, H.J. Strathman, D.J. Warren, J. Silver & R.M. Walker (2018). Acquisition of neural action potentials using rapid multiplexing directly at the electrodes. Micromachines. Vol. 9. Published, 09/20/2018.
  • A.T. Gardner, H.J. Strathman, D.J. Warren & R.M. Walker (2018). Impedance and noise characterizations of Utah and microwire electrode arrays. IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology. Vol. 2, 1-8. Published, 12/01/2018.
  • T. Ahmed, N. Tasneem & R.M. Walker (2018). High-speed communication up to 600 Mbps over FDA-cleared implantable wirelines. IEEE Biomedical Circuits and Systems Conference (BioCAS). 1-4. Published, 10/19/2018.
  • J. Liu & R.M. Walker (2018). A compact, low-noise, chopped front-end for peripheral nerve recording in 180 nm CMOS. IEEE Biomedical Circuits and Systems Conference (BioCAS). 1-4. Published, 10/19/2018.
  • R. M. Walker, I. S. Subramanian, A. A. Bajwa, L. Rieth, J. Silver, T. Ahmed, N. Tasneem, M. Sharma & A. T. Gardner (2017). Integrated neural interfaces. IEEE Midwest Symposium on Circuits and Systems (MWSCAS). 1045-1048. Published, 10/2017.
  • C. Gupta, R. M. Walker, S. Chang, S. R. Fischer, M. Seal, B. Murmann & R. T. Howe (2017). Quantum tunneling currents in a nanoengineered electrochemical system. The Journal of Physical Chemistry C. Vol. C, 15085-15105. Published, 07/2017.
  • J.D. Foster, P. Nuyujukian, O. Freifeld, H. Gao, R. Walker, S.I. Ryu, T.H. Meng, B. Murmann, M.J. Black, K.V. Shenoy, "A freely-moving monkey treadmill model," Journal of Neural Engineering, vol. 11, no. 4, 046020 (14pp.). Published, 07/2014.
  • H. Gao, R.M. Walker, P. Nuyujukian, K.A.A. Makinwa, K.V. Shenoy, B. Murmann, T.H. Meng, “HermesE: A 96-channel full data rate direct neural interface in 0.13μm CMOS,” IEEE Journal of Solid-State Circuits, vol. 47, no. 4, pp. 1043-1055. Published, 04/2012.
  • R.M. Walker, H. Gao, P. Nuyujukian, K.A.A. Makinwa, K.V. Shenoy, T.H. Meng, B. Murmann, "A 96-channel full data rate direct neural interface in 0.13μm CMOS," 2011 Symposium on VLSI Circuits, pp.144-145. Published, 06/2011.
  • Strategies for Scaling Neural Interface Recording and Stimulation Systems, Panel Session at the 2018 Neural Interfaces Conference. Invited Talk/Keynote, Presented, 06/25/2018.
  • Direct Neural Interfaces for Medical and Non-Medical Applications, 2018 Emerging Technologies Conference (ET CMOS), Whistler, BC, CA. Invited Talk/Keynote, Presented, 05/10/2018.