Matthew S Reynolds

Image of Matthew S Reynolds

Nortel Network Assistant Professor of Electrical & Computer Engineering

Contact Information:
Education:
PhDMassachusetts Institute of Technology (MIT)2003
M.Eng.Massachusetts Institute of Technology (MIT)1999
SBMassachusetts Institute of Technology (MIT)1998
Research Interests:
Prof. Reynolds' research interests include RFID, ultra-low power sensing and computation, energy harvesting, wireless power transfer (WPT), and smart materials, surfaces, and spaces.

Matt Reynolds received S.B., M.Eng., and Ph.D. degrees from MIT, and was a Motorola Fellow at the MIT Media Lab from 1997-2002. Matt co-founded the RFID systems firm ThingMagic Inc. in 2000 and served as Chief Technology Officer from 2002-2007. He returned to academia as a Senior Research Scientist at Georgia Tech prior to joining the Duke faculty as an Assistant Professor in January 2008. Matt is also co-founder of the energy conservation firm uSenso Inc, acquired by Belkin Inc. in 2010, and has six issued and over 15 pending patents.

Recent Publications: (More Publications)
    • S. Thomas, E. Wheeler, J. Teizer, M. Reynolds, Quadrature Amplitude Modulated Backscatter in Passive and Semipassive UHF RFID Systems, IEEE Transactions on Microwave Theory and Techniques, vol 60 no. 4 (2012), pp. 1175-1182
    • S. Thomas, R. Harrison, A. Leonardo, M. Reynolds, A battery-free multi-channel digital neural/EMG telemetry system for flying insects, Proc. IEEE Biomedical Circuits and Systems Conf. (2011), pp. 229-232
    • J. Froehlich, E. Larson, S. Gupta, G. Cohn, M. Reynolds, and S. Patel, Disaggregated End-Use Energy Sensing for the Smart Grid, IEEE Pervasive Computing, vol 10 no. 1 (2011), pp. 28-39
    • J. Yun, S. Patel, M. Reynolds, and G. Abowd, Design and Performance of an Optimal Inertial Power Harvester for Human-powered Devices, IEEE Transactions on Mobile Computing, vol 10 no. 5 (2011), pp. 669-683
    • Deyle, Travis and Nguyen, Hai and Reynolds, Matthew S. and Kemp, Charles C., RFID-Guided Robots for Pervasive Automation, IEEE Pervasive Computing, vol 9 no. 2 (2010), pp. 37--45 [doi]