Bio

B.S. ​Stanford University, 1996M.S. UCLA, 1998​Ph.D. UCLA, 2000

"My research focuses on the innovation, development, and deployment of wireless technologies in health applications."

John Lach, Dean, School of Engineering & Applied Science, The George Washington University

I received the B.S. (1996) degree in Science, Technology, and Society from Stanford University and the M.S. (1998) and Ph.D. (2000) degrees in Electrical Engineering from UCLA. I am Dean of the School of Engineering & Applied Science and Professor of Electrical & Computer Engineering at The George Washington University. I am a Visiting Professor in the Charles L. Brown Department of Electrical & Computer Engineering at the University of Virginia (UVA), where I served as a faculty member 2000-2019, Department Chair 2012-2017, and UVA Engineering Director of Cross-Cutting Initiatives 2017-2019. I am a Senior Member of the IEEE, Associate Editor for the ACM Transactions on Computing for Healthcare, and past Associate Editor for the IEEE Transactions on Computers and the IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems.

My primary research interests are cyber-physical systems, embedded sensor systems, smart and connected health, body sensor networks, integrated circuit design methodologies, fault and defect tolerance, safety-critical system design and analysis, and application-specific and general-purpose processor design. I have been the PI or co-PI on over 35 grants totaling over $57M (over $8.7M directed to my lab) and have published over 170 refereed papers, including six Best Paper Awards. My research group has won two conference poster competitions and the 2011 DAC/ISSCC Student Design Contest. I am a founder and Steering Committee member of the IEEE Wireless Health Conference Series, a founder and co-director of the UVA Center for Wireless Health, and Associate Director for Translational Research for the NSF Nanosystems Engineering Research Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST). I won a UVA All-University Teaching Award in 2005 and the UVA School of Engineering and Applied Science Distinguished Faculty Award in 2016.

Awards

  • Best Student Paper Award, IEEE International Conference on Body Sensor Networks 2019
  • Best Poster Award, IEEE Conference on Biomedical and Health Informatics 2018
  • Electrical and Computer Engineering Faculty Leadership Award 2018
  • UVA School of Engineering and Applied Science Distinguished Faculty Award 2016
  • Best Paper Award Finalist (2 papers), Wireless Health 2016
  • Best Paper Award Finalist, IEEE International Conference on Body Sensor Networks 2015
  • Best Paper Award Finalist, IEEE/ACM International Symposium on Low Power Electronics and Design 2015
  • Best Paper Award, International Conference on Body Area Networks 2014
  • Best Demo Award, Wireless Health 2014
  • Best Student Paper Award, International Conference on Body Area Networks 2013
  • Best Paper Award, Wireless Health 2011
  • Best Paper Award Finalist, Wireless Health 2011
  • Winner, DAC/ISSCC Student Design Contest 2011
  • Best Poster Paper Award, Government Microcircuit Applications & Critical Technology Conference 2011
  • Best Paper Award, IEEE International Conference on Computer Design 2007
  • University of Virginia All-University Teaching Award 2005
  • Rodman Scholars Outstanding Faculty Award 2005
  • Electrical and Computer Engineering New Faculty Teaching Award 2003
  • Best Student Paper Award, ACM Workshop on Self-Healing, Adaptive, and Self-Managed Systems 2002
  • University of Virginia Teaching Fellow 2001-2002
  • UCLA School of Engineering and Applied Sciences Dean's Award 1998 and 1999

Research Interests

  • Wireless Health
  • Cyber-Physical Systems
  • Internet of Things
  • Computer Architecture
  • Low Power Design
  • Embedded Systems

In the News

Selected Publications

  • "Body Area Sensor Networks: Challenges and Opportunities," IEEE Computer, 58-65, January 2009 M.A. Hanson*, H.C. Powell Jr.*, A.T. Barth*, K. Ringgenberg, B.H. Calhoun, J.H. Aylor, J. Lach (* in author list indicates Lach Student)
  • "TEMPO 3.1: A Body Area Sensor Network Platform for Continuous Movement Assessment," IEEE International Conference on Body Sensor Networks, 71-76, 2009 A.T. Barth*, M.A. Hanson*, H.C. Powell Jr.*, J. Lach
  • "On-Body Inertial Sensing and Signal Processing for Clinical Assessment of Tremor," IEEE Transactions on Biomedical Circuits and Systems, 3(2):108-116, April 2009 H.C. Powell Jr.*, M.A. Hanson*, J. Lach
  • "Causality Analysis of Inertial Body Sensors for Multiple Sclerosis Diagnostic Enhancement," IEEE Journal of Biomedical and Health Informatics, 20(5):1273-80, September 2016 J. Gong*, Y. Qi, M.D. Goldman, J. Lach
  • "Enabling Longitudinal Assessment of Ankle-Foot Orthosis Efficacy for Children with Cerebral Palsy," IEEE Wireless Health Conference, 4:1-10, 2011 (Best Paper Award) S. Chen*, C. Cunningham*, B.C. Bennett, J. Lach
  • "Flexible Technologies for Self-Powered Wearable Health and Environmental Sensing," Proceedings of the IEEE, 103(4):665-681, April 2015 V. Misra, A. Bozkurt, B. Calhoun, T. Jackson, J. Jur, J. Lach, B. Lee, J. Muth, O. Oralkan, M. Ozturk, S. Trolier-McKinstry, D. Vashaee, D. Wentzloff, Y. Zhu
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