B.S. EE, ​University of Tennessee, 1991​M.S. EE, Massachusetts Institute of Technology, 1994Ph.D. ​EECS, Massachusetts Institute of Technology, 1997

"My work in diabetes technology is in part the basis of a startup company that I co-founded: TypeZero Technologies, Incorporated."

Stephen D. Patek, Professor of Systems and Information Engineering

Stephen Patek is a Professor of Systems and Information Engineering at the University of Virginia. His work generally relates the theory and practice of stochastic optimization and control, particularly in biomedical and telecommunications applications domains. He has served as Director the Broadband Wireless Access & Applications Center (BWAC) at UVA, an NSF I/U-CRC, which focuses on wireless health and wireless aspects of cyber-physical systems. He has been involved in diabetes technology research since 2007, contributing to the development of mathematical models, algorithmic and platform architectures, and control systems for the “Artificial Pancreas”. He received his B.S. in Electrical Engineering from the University of Tennessee in 1991, and his M.S.E.E. and Ph.D. degrees from the Massachusetts Institute of Technology in 1994 and 1997, under an ONR Fellowship.

Research Interests

  • Signal and Image Processing
  • Wireless Health
  • Human Factors
  • Biomedical Data Sciences
  • Optimization Models and Methods
  • Systems Integration
  • Autonomy and Controls/Control Systems
  • Wireless Health
  • Human Machine Interface
  • Computer Networks
  • Machine Learning, Text Mining, Information Retrieval
  • Computational Statistics and Simulation/Statistical Modeling
  • Risk and Decision Analysis
  • Optimization Models and Methods
  • Biomedical Data Sciences
  • Stochastic Modeling
  • Algorithms
  • Machine Learning

Selected Publications

  • “Adaptive Symptom Reporting for Mobile Patient-Reported Disability Assessment,” Wireless Health, October 2016. M. Engelhard, J. Lach, K. Schmidt, M. D. Goldman, S. Patek.
  • “Empirical representation of blood glucose variability in a compartmental model.” Breton. In Prediction Methods for Blood Glucose Concentration, pages 133–157. Springer, Lecture Notes in Biomedical Engineering, 2016. S. D. Patek, D. Lv, E. A. Ortiz, C. Hughes-Karvetski, S. Kulkarni, Q. Zhang, and M. D
  • “Retrospective optimization of daily insulin therapy parameters: Control subject to a regenerative disturbance process,” In Proceeding of the 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, pages 773–778, June 2016. S. D. Patek, D. Lv, E. Campos-Nanez, and M. Breton.
  • “Assessing sensor accuracy for non-adjunct use of continuous glucose monitoring,” Diab Technol Ther, 17(3):177–186, 2015. B. P. Kovatchev, S. D. Patek, E. A. Ortiz, and M. Breton.
  • “Modular closed-loop control of diabetes,” IEEE Trans Biomed Eng, 59(11):2986–2999, 2012. S. D. Patek, L. Magni, E. Dassau, C. Hughes-Karvetski, C. Toffanin, G. De Nicolao, S. Del Favero, M. Breton, C. Dalla Man, E. Renard, H. Zisser, F. J. Doyle, III, C. Cobelli, and B. P. Kovatchev,
  • “Correction insulin advisory system based on meal behavioral profiles,” In 18th IFAC World Congress, pages8354–8359, 2011 S. D. Patek, C. S. Hughes, P. Vereshchetin, M.Breton, and B.P. Kovatchev.
  • “Anticipating the next meal using meal behavioral profiles: A hybrid model-based stochastic predictive control algorithm for T1DM,” Computer Methods and Programs in Biomedicine, 102(2):138–48, 2011. C. S. Hughes, S. D. Patek, M. Breton, and B. P. Kovatchev.