Mads R. Almassalkhi

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My research interests lie at the intersection of power systems, optimization, and controls. I work on developing novel feedback and optimization algorithms that improve resilience of power systems, which is increasingly more important as power systems are operating closer and closer to their limits.

Past work includes: model predictive control of bulk power systems, distributed control of multi-agent systems, applications of optimization and systems theory to electric and multi-energy power systems.


Prior to joining the University of Vermont, I was lead systems engineer at Root3 Technologies. I received my MS and PhD from the University of Michigan in Electrical Engineering: Systems and a dual-degrees in Electrical Engineering and Applied Mathematics from the University of Cincinnati.

Background

Assistant Professor

Electrical Engineering

College of Engineering & Mathematical Sciences

University of Vermont, Burlington


Contact Information

200A Farrell Hall

210 Colchester Avenue

Burlington, Vermont 05405

Office Phone: (802) 656-3405

E-mail: malmassa[at]uvm[dot]edu

Curriculum Vitae

Graduate Student Positions

Courses

I am always looking for top quality creative grad students with strong fundamentals in math, controls, and energy/power systems. Please apply to UVM Graduate Program.

Note: UVM was recently awarded an NSF IGERT grant entitled Smart Grid: Technology, Human Behavior, and Policy. If you are a U.S. Citizen or Permanent Resident and want to learn about and work on today’s energy/power system challenges, please email me with a short paragraph on why you’re interested in the position and apply to the IGERT program at UVM.

For more information, please see the IGERT Brochure/Info

Fall 2014: EE215 Electric Energy System Analysis

Spring 2014: EE113 Electric Energy Systems

Fall 2015: EE301 Linear System Theory