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Dr. Touria El Mezyani

  • Position:  Visiting Assistant Professor
  • Department:  Electrical and Computer Engineering
  • Office Location:  Building 4, Room 441
  • telmezyani@uwf.edu
  • Campus: (850) 474-2270

Biography:

Dr. Touria El Mezyani joined the Engineering Department at UWF in the fall 2016 as a Visiting Assistant Professor in Electrical and Computer Engineering. She earned her Ph.D. in Automatic Control and System Engineering from Lille University of Science and Technology, France, and a Master degree in Physics with major in Electronic and Signal Processing, from University of Science, Morocco.

Prior to Joining UWF, she was a Research Faculty with the Center for Advanced Power Systems at Florida State University, and a Research Associate at the School of Computational Science and Center for Advanced Power Systems at the same university. Her research interests include optimization, control and monitoring of networked systems. She focuses on large-scale power networks and smart grids applications, which include bifurcation and complexity theory, sensor optimization and placement, nonlinear and hybrid control, stability analysis, and distributed optimization.

Since 2007 to 2016 she was research faculty with Center for Advanced Power Systems at Florida State University, and research associate, respectively, at School of Computational Science and Center for Advanced Power Systems, Florida State University. Her background is in optimization, control and monitoring of complex systems. Her research focuses in large scale power networks and smart grids applications, which include bifurcation and complexity theory, sensor optimization and placement, nonlinear and hybrid control, stability analysis, and distributed optimization. Her research finding has been published in proceedings of IEEE which is the most highly-cited journal in electrical engineering and computer science, a book chapter in Taylor & Francis, and in many IEEE transactions and per-review conferences.

Degrees & Institutions:

Ph.D. Automatic Control and System Engineering, Lille University of Science and Technology, Lille, France
M.S. Physics/Electronic and Signal Processing, University of Science, Morocco

Research:

  • Power system optimization and planning: energy and power management in microgrids and ship power systems
  • Automatic control in nonlinear and hybrid systems: distributed control and optimization; multi-Agents systems; nonlinear model predictive control
  • Computational intelligence for optimization Real-time complex systems analysis: complexity, nonlinearity, stability and bifurcation analysis
  • Resilient sensor networks design; monitoring and fault detection and diagnosis

Current Courses:

  • Electrical Circuits Lab
  • Introduction to Engineering
  • Power Electronic Circuits

 

Classes Taught:

    • Electrical Circuits Lab
    • Introduction to Engineering
    • Digital Logic & Computer Systems Lab 

Publications:

    T. Vu, S. Paran, S., Diaz F., T. El Mezyani, and C.S. Edrington, "An Alternative Distributed Control Architecture for Improvement in the Transient Response of DC Microgrids," IEEE Transactions on Industrial Electronics(IES), 2016

    C. S. Edrington, M. Steurer, J. Langston, T. El Mezyani, and K. Schoder, "Role of Power Hardware in the Loop in Modeling and Simulation for Experimentation in Power and Energy Systems," Proceeding of the IEEE, 2015

    M. Cupelli, F. Ponci, G. Sulligoi, A. Vicenzutti, C. S. Edrington, T. El Mezyani, and A. Monti, "Power flow control and network stability in an All-Electric Ship," Proceeding of the IEEE, 2015

    T. El Mezyani, R. Wilson, M. Sattler, S. K. Srivastava, C. S. Edrington, and D. A. Cartes, "Complexity Quantification to enhance the Shipboard Power Systems design and Modeling," IET Electrical Systems in Transportation, Vol. 2 (4), pages 211-222, 2012


Keywords: electrical and computer engineering, automatic control and system engineering, electronic and signal processing, optimization, control and monitoring, networked systems, large-scale power networks, smart grids, bifurcation, complexity theory, sensor optimization and placement, nonlinear and hybrid control, stability analysis, distributed optimization