Assistant Professor

Luis A. Duffaut Espinosa is an Assistant Professor in the Department of Electrical and Biomedical Engineering at the University of Vermont. His research interests lie in the intersection of estimation theory, signal processing, control theory and learning technologies with emphasis in approaches that are non-parametric and model-free for applications in power systems, monitoring of environmental systems, quantum control and general modelling of nonlinear systems. Prior to joining the University of Vermont as an assistant professor, he was research assistant professor at the university of Vermont (2016-2019) and was faculty in the Electrical and Computer Engineering Department of George Mason University (2014-2016). He also held a postdoctoral position at Johns Hopkins University (2010-2011) and a research associate position at the University of New South Wales in Canberra, Australia (2011-2013). He received his Ph.D. degree in electrical and computer engineering from Old Dominion University in 2009, the M.S. degree in mathematics from Pontificia Universidad Católica del Perú in 2005 and the B.S. degree in physics from the Universidad Nacional de Ingenería in Perú in 2003.

 

Publications

L. A. Duffaut Espinosa and M. Almassalkhi, "A Packetized Energy Management
Macromodel with Quality of Service Guarantees for Demand-Side Resources,"
IEEE Transactions on Power Systems, to appear.

L. A. Duffaut Espinosa, F. Rosales and A. Posadas, "Embedding Spatial
Variability in Rainfall Field Reconstruction," International Journal of
Remote Sensing, vol. 39, no. 9, 2018, pp. 2884-2905.

W. S. Gray, L. A. Duffaut Espinosa and K. Ebrahimi-Fard, "Discrete-Time
Approximations of Fliess Operators: The rational
case," Numerische Mathematik, vol. 137, no. 1, 2017, pp. 35-62.

L. A. Duffaut Espinosa et al., "Physical Realizability and Preservation of
Commutation and Anticommutation Relations for N-Level Quantum Systems," SIAM
Journal on Control and Optimization, vol. 54, no. 2, 2016, pp. 632-661.

L. A. Duffaut Espinosa et al., "On the convergence of Fliess operators driven
by L2-Ito processes," Stochastics: An International Journal of Probability
and Stochastic Processes, vol. 84, no. 4, 2012, pp. 507-532.

Luis Duffaut Espinosa, Ph.D.

Areas of Expertise and/or Research

Estimation, signal processing, control systems, stochastic processes, algebraic combinatorics

Education

  • PhD (2009), Electrical Engineering and Computer Engineering, Old Dominion University, Norfolk, VA.

Contact

Phone:
  • 802-656-3128
Office Location:

Votey Hall 301-E

Website(s):
  1. Luis' Website

Courses Taught

EE-275 - Digital Signal Processing - Fall 2019
EE-371 - Estimation Theory - Spring 2020