IEEE SMC Beijing Capital Region Chapter Seminar by Mehmet Önder Efe of Hacettepe University

On the afternoon of May 19, at the invitation of Professor Zhijie Liu, Mehmet Önder Efe, gave an academic presentation entitled " Aerodynamic Flow Control " through Skype. The lecture was hosted by Zhijie Liu. faculty members and more than 50 doctoral and master's degree students attended the lecture.

During the presentation, Mehmet Önder Efe shared his experience in aerodynamic flow control. The talk introduced the cavity flow problem and modeling, model reduction, proper orthogonal decomposition, and local model development using neural networks are considered. Experimental setup is introduced and several modeling approaches are also considered in the presentation.

During the discussion and question session, the teachers and students present actively asked questions, Mehmet Önder Efe patiently answered one by one, and believed that many questions are very valuable. In this report meeting, Mehmet Önder Efe and Automation College teachers and students have a cordial academic exchanges, enriched the knowledge of students, broaden their horizons in academic and scientific research. After the end of the report, the teachers and students present benefit a lot.

Brief introduction of the presenter:

Mehmet Önder Efe received the B.S. degree from the Department of Electronics and Communications Engineering, Istanbul Technical University, Istanbul, Turkey, in 1993, the M.S.degree from the Department of Systems and Control Engineering, Bogazici University, Istanbul, Turkey, in 1996, and the Ph.D. degree from the Department of Electrical and Electronics Engineering, Bogazici University, in 2000. He is now with the Department of Computer Engineering, Hacettepe University, Ankara, Turkey.

Dr. Efe is/was an Associate Editor of IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Artificial Intelligence. He is the Editor in Chief of Transactions of the Institute of Measurement and Control, and Measurement & Control. His research interests are robust control systems, neural networks and machine learning.