Prof. Keshteli is a Research Professor at the Department of Industrial Engineering, School of Engineering and Science, Tecnológico de Monterrey, Puebla Campus, Mexico. He is also the member of Optimization and Data Science research center at this university. He has got all his bachelor, master, and Ph.D. degrees in Industrial Engineering. Research Background: His main research areas are Sustainable and Smart Logistics, Supply Chain Integration and Optimization, Industry 4.0 and 5.0, and Combinatorial Optimization. He has firstly designed and developed some food and agricultural supply chains such as Citrus, Rice, Sugarcane, Avocado, Walnut, etc. in this research area. He is also the inventor of some famous and capable Metaheuristics Algorithms in optimizations such as Keshtel Algorithm (2012), Red Deer Algorithm (2016), Social Engineering Optimizer (2018), and Tree Growth Algorithm (2018). He has published several book chapters, books, and more than 100 papers in international conference as well as more than 60 papers in Q1 journals, and also worked as a peer reviewer and editor in top-ranked journals like EJOR, COR, INS, CAIE. He has done more than 10 national projects and attracted grants for the universities and research centers. Also, he has supervised more than 15 PhD dissertations as well as more than 50 master theses. Industrial Background: He has strong international collaborations and background in academia, international projects, and industries, especially in European automotive industries, as a general manager, site manager, project manager, head of planning department, business development manager, senior consulter, and member of the board at SAP, Siemens, Savana, and Heavy Diesel Engine Manufacturer companies such as MTU, Wartsila, and MAN. He is also able to speak German, Spanish, Persian, and Arabic languages as well as advanced English. Besides, he is skilled in programming in MATLAB and Python, and usually mentors and teaches in international professional workshops such as CSCP, PMP, IRIS, ISO, and CDA (UNIDO). Research areas: ----- Industrial Engineering ----- Logistics ----- Supply Chain Management ----- Combinatorial Optimization ----- Business Intelligence ----- Industry 4.0 Teaching areas: ----- Combinatorial Optimization ----- Supply Chain Optimization ----- Advanced Stochastic Processes ----- Advanced Mathematical Programming ----- Advanced Production & Project Management ----- Advanced Logistics and Transportation ----- Design of Experiments ----- Research Methodologies in Engineering
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education and training

  • Bachelor of Science in Industrial Engineering
  • Industrial engineer
  • PhD in Industrial Engineering