Dr. Abdul Basit Memon

Assistant Professor, Electrical Engineering
School of Science & Engineering
Email: basit.memon@sse.habib.edu.pk

Dr. Memon received his B.S. degree in 2007, following which he received a Fulbright fellowship to pursue graduate studies at Georgia Institute of Technology. He received his M.S. in Electrical Engineering, M.S. in Mathematics, and his Ph.D. degrees in 2010, 2014, and 2015 respectively. His doctoral thesis was one of the five nominated for the annual Sigma Xi Best Ph.D. Dissertation Award at Georgia Tech.

Dr. Memon conducts research in the area of Mathematical Systems Theory, which deals with the mathematical modeling, analysis, and control of systems. The systems considered arise from physics, engineering, economics, and biology. A special focus of his research is on studying systems arising from considering the locomotion problem in robotics.

Education

  • Ph.D. in Electrical Engineering, Georgia Institute of Technology, Atlanta, USA
  • M.S. in Mathematics, Georgia Institute of Technology, Atlanta, USA
  • M.S. in Electrical Engineering, Georgia Institute of Technology, Atlanta, USA
  • B.S. in Electronics Engineering, GIK Institute of Technology, Topi, Pakistan

Research Interests

Dr. Memon conducts research in the area of Mathematical Systems Theory, which deals with the mathematical modeling, analysis, and control of systems. The systems considered arise from physics, engineering, economics, and biology. A special focus of his research is on studying systems arising from considering the locomotion problem in robotics.

Selected Publications

  • Memon, A.B., and Verriest, E.I. Suboptimal multi-mode state estimation and mode detection. In: Proceedings of the 51st Conference on Decision and Control (CDC), 2012.
  • Memon, A.B., and Verriest, E.I. Kernel representation approach to persistence of behavior. In: Proceedings of the 19th IFAC World Congress, 2014.
  • Memon, A.B., and Verriest, E.I. Maximally persistent connections for the periodic type. In: 21st International Symposium on Mathematical Theory of Networks and Systems (MTNS), 2014.
  • Memon, A.B., Verriest, E.I., and Hyun, N.P. Graceful Gait Transitions for Biomimetic Locomotion – The Worm. In: Proceedings of the 53rd Conference on Decision and Control (CDC), 2014.
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