Dr. Mohammad Bayat

Professor
Iran University of Science and Technology, Iran

Highest Degree
Ph.D. in Industrial Engineering from Iran University of Science and Technology, Iran

My URL
https://livedna.org/98.7396

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Biography

Dr. Mohammad Bayat has completed his Ph.D. in Industrial Engineering from Iran University of Science and Technology, Iran. His main area of interest related to Industrial Engineering. His area of expertise includes Scheduling, Production Planning, Meta- heuristics, Operations Management, Robust Optimization, Operations Research, Stochastic Modeling, Optimization, and Heuristics. He has 3 publications in journals.

Area of Interest:

Computer Sciences
Artificial Intelligence
Heuristic search
Discrete Dynamics
Decision Science

Selected Publications

  1. Heydari, M., M.M. Mazdeh and M. Bayat, 2013. Stochastic online scheduling with preemption penalties. J. Mathe. Comput. Sci., 6: 238-250.
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  2. Heydari, M., M.M. Mazdeh and M. Bayat, 2013. Scheduling stochastic two-machine flow shop problems to minimize expected makespan. Decision Sci. Lett., 2: 163-174.
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  3. Heydari, M., M.M. Mazdeh and M. Bayat, 2013. Heuristic for stochastic online flowshop problem with preemption penalties. Discrete Dynam. Nat. Soc. 10.1155/2013/916978.
    CrossRef  |  Direct Link  |  
Member since October, 2015