معرفی
M. Selim Akturk is a Professor in the Department of Industrial Engineering at Bilkent University's Faculty of Engineering in Ankara, Turkey. His academic career spans over three decades since earning his Ph.D. from Lehigh University in 1990, during which he has established himself as a leading researcher in operations research and production systems.
Education:
- Ph.D. in Industrial Engineering, Lehigh University (1990)
- M.S. in Industrial Engineering, Middle East Technical University (METU) (1984)
- B.S. in Industrial Engineering, Middle East Technical University (METU) (1982)
Akturk's research focuses on Production Management Systems, Disruption Management, Cellular Manufacturing Systems, Production Scheduling, and Advanced Manufacturing Technologies. His work demonstrates particular expertise in scheduling problems with controllable processing times, airline operations optimization, and robotic cell scheduling. His research bridges theoretical advances with practical applications in manufacturing and transportation systems.
His extensive publication record shows a consistent trajectory of high-impact research, with recent work (2016-2022) focusing on airline scheduling with cruise speed control, risk-averse stochastic programming, and robotic cell optimization. His publications appear in top-tier journals including Operations Research, Transportation Research Part B/C, and European Journal of Operational Research, demonstrating both theoretical rigor and practical relevance.
Scientific Awards:
- Fellow, Class of 2023, The Institute for Operations Research and the Management Sciences (INFORMS)
- 2008 Winner of the Bilkent University Distinguished Teaching Award
- 1988 Winner of the Lehigh University Arthur E. Humphrey Outstanding Teaching Assistant Award
Akturk has taught numerous courses at multiple institutions including Bilkent University (IE 376, IE 463, IE 561, IE 573), Lehigh University (MSE 433, IE 222), and McGill University (305-529, 277-601). His teaching spans production systems design, operations scheduling, manufacturing processes, and stochastic models, reflecting his broad expertise in industrial engineering principles and applications.
