Industrial Engineering & Management

ISSN: 2169-0316

Open Access

Mahmut Eksioglu

Mahmut Eksioglu

Mahmut Eksioglu
Professor of Industrial Engineering & Founding Director of Ergonomics Laboratory
Bogazici University, Istanbul, Turkey


Dr. Eksioglu currently is a tenured professor of Industrial Engineering and Director of Ergonomics Laboratory at BoÄŸaziçi University (Istanbul, Turkey). He received his PhD in Industrial Engineering and MS degrees in Industrial and Aerospace Engineering all in the US and a BS degree in Mechanical Engineering in Turkey. His area of specialization is Ergonomics/Human Factors Engineering. He has been working in this area since 1992 as an instructor, researcher and consultant both in the US and Turkey. Before joining BoÄŸaziçi University in 2005, he served four years as a full-time faculty member at the department of Industrial Engineering of University of Michigan and involved some research work with Ford Motor Company and tool industry. Prior to academia, he worked as a research scientist at NIOSH (National Institute for Occupational Safety and Health, USA), and as a consultant in ergonomics and occupational safety and health at Advanced Ergonomics, Inc. (Dallas, US). In Turkey, his research efforts partly aimed establishing an “Ergonomics Database for the Population of Turkey” to be used in designing safer and more productive work systems, equipment and products. He published over 70 articles in SCI journals and conference proceedings as well as several book chapters and developed an ergonomics assessment tool. He is also the inventor of the patented “Turkish E-Keyboard” which is also a Turkish Standard (TS 13771). He was selected for Apha Pi Mu (Industrial Engineering Honor society) and Tau Beta Pi (The Engineering Honor Society). He is also a member in several inernational professional societies.

Research Interest

Industrial Ergonomics; Human-Computer Interaction; Human-Technology Interaction; Work Safety and Health; Product Design; Vehicle Ergonomics; Work Methods and Measurement; Lean Manufacturing; Optimization in Ergonomics; Applied Statistics

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Citations: 614

Industrial Engineering & Management received 614 citations as per Google Scholar report

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