Associate Professor

Mads Almassalkhi (IEEE M'06; SM'19) is Associate Professor in the Department of Electrical and Biomedical Engineering at the University of Vermont and co-founder of startup company Packetized Energy. His research interests lie at the intersection of power systems, mathematical optimization, and control systems and focuses on developing scalable algorithms that improve responsiveness and resilience of power systems. He was awarded the Outstanding Junior Faculty award by UVM CEMS in 2016. Prior to joining the University of Vermont, he was lead systems engineer at Root3 Technologies, which developed software for set-point optimization of multi-energy systems. Before that, he received his PhD from the University of Michigan in Electrical Engineering: Systems (EE:S) in 2013 and a dual major in Electrical Engineering and Applied Mathematics at the University of Cincinnati, in Ohio, in 2008. He also serves as Chair of the IEEE SBLC Loads Subcommittee. When he is not working on energy problems or teaching, he is spending his time with his amazing wife and their three small children.


N. Nazir and M. Almassalkhi, "Voltage positioning using co-optimization of controllable grid assets," IEEE Transactions on Power Systems, 2020.

M. Almassalkhi, S. Brahma, N. Nazir, H. Ossareh, P. Racherla, S. Kundu, S. P. Nandanoori, T. Ramachandran, A. Singhal, D. Gayme, C. Ji, E. Mallada, Y. Shen, P. You, and D. Anand, "Hierarchical, grid-aware, and economically optimal coordi- nation of distributed energy resources in realistic distribution systems," Energies (Special issue: Building-to- Grid Integration through Intelligent Optimization and Control), vol. 13, no. 23, p. 6399, 2020.

S. Brahma, N. Nazir, H. Ossareh, and M. Almassalkhi, "Optimal and resilient coordination of virtual batteries in distribution feeders," IEEE Transactions on Power Systems 2020.

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, vol. 35, no. 5, pp. 3660-3670, 2020.

L. Duffaut Espinosa, A. Khurram, and M. Almassalkhi, "Reference-Tracking Control Policies for Packetized Coordination of Heterogeneous DER Populations," IEEE Transactions on Control Systems Technology, 2020.

A. Khurram, L. Duffaut Espinosa, R. Malhame, and M. Almassalkhi, "Identification of Hot Water End-use Process of Electric Water Heaters from Energy Measurements," Electric Power Systems Research, vol. 189 (106625), 2020.

N. Nazir and M. Almassalkhi, "Stochastic multi-period optimal dispatch of energy storage in unbalanced distribution feeders," Electric Power Systems Research, vol. 189 (106783), 2020.

M. Amini and M. Almassalkhi, "Optimal Corrective Dispatch of Uncertain Virtual Energy Storage Systems," IEEE Transactions on Smart Grid, vol. 11, no. 5, pp. 4155 - 4166, 2020.

N. Nazir, P. Racherla, and M. Almassalkhi, "Optimal multi-period dispatch of distributed energy resources in unbalanced distribution feeders," IEEE Transactions on Power Systems, vol. 35, no. 4, pp. 2683-2692, 2020.

Z. Hurwitz, Y. Dubief, and M. Almassalkhi, "Economic effciency and carbon emissions in multi-energy systems with flexible buildings," International Journal of Electrical Power and Energy Systems , vol. 123 (106114), 2020.

S. R. Shukla, S. Paudyal, and M. R. Almassalkhi, "Efficient distribution system optimal power flow with discrete control of load tap changers," IEEE Transactions on Power Systems, vol. 34, no. 4, pp. 2970-2979, 2019.

Mads Almassalkhi

Areas of Expertise and/or Research

Power and Energy Systems, Control Systems, Mathematical Optimization, Renewable Energy Integration


  • Ph.D., University of Michigan, Ann Arbor


  • (802) 656-3405
Office Location:

Votey 301C

Office Hours:

Office hours change every semester, but are usually held in Votey Hall.

  1. Mads' Website

Courses Taught

  • EE110 - Control Systems
  • EE113 - Electric Energy Systems (w/ Lab)
  • EE217 - Electric Energy System Analysis
  • EE301 - Linear System Theory (open to any CEMS grad)
  • EE395 - Convex Optimization with Applications (open to any CEMS grad)