Dr. Cihan Dagli

Professor

Engineering Management and Systems Engineering

Dr. Dagli is a Professor of Systems engineering and Engineering Management. He is the founder of Missouri S&T’s Systems Engineering Graduate Program. He is also director of the Smart Engineering Systems Lab (SESL) at the Missouri S&T.  He is Senior Investigator in DoD Systems Engineering Research Center-URAC. Dr. Dagli is a fellow of International Council of Systems Engineering INCOSE 2008 and Institute of Industrial Engineers IIE 2009 and International Foundation of Production Research 2019.Dr. Dagli joined Missouri S&T in 1988. His research interests are in systems engineering and systems architecting, cyber physical systems, deep learning, machine learning   and computational intelligence. Dr. Dagli has been a PI, co-PI, or director of 56 research projects and grants totaling over $25 million from federal, state, industrial funding agencies, and distance tuition revenue. Approximately more than $21 million of this total has been generated through the Systems Engineering Graduate Program during his tenure as program director since 2000. This number does not include a $10 million grant from the Department of Defense that was approved in September 2008 for the establishment of the Systems Engineering Research Center - University Affiliated Research Center (UARC) at Steven’s Institute of Technology with the aid of Missouri S&T, the University of Southern California, the Massachusetts Institute of Technology, and other participating universities. Dr. Dagli has published over 450 research publications, including 79 archival journal articles and edited (or co-edited) 34 books. His research publications have been cited on Google Scholar 4,449 times, with an h-index of 31 and i-index of 118. He was the dissertation advisor of 26 Engineering Management one Computer Science and 9 Systems Engineering PhD students received their degree from S&T.

 

Research Interests:

Systems Engineering and Architecting, Cyber Physical Systems, Deep Learning, Machine Learning and Computational Intelligence

Resume/CV:

Personal Website:

Education:

  • Doctorate of Philosophy in Large Scale System Design and Operation from University of Birmingham, United Kingdom
  • Master's Degree in Industrial Engineering from Middle East Technical University