Headshot for Bilal-M-Ayyub

Bilal M. Ayyub  is a Professor & Director of the  Center for Technology and Systems Management at the University of Maryland. 

 Dr. Ayyub has been a Professor of Civil & Environmental Engineering since 1983; Professor of Reliability Engineering since 1985; Professor of Applied Mathematics and Scientific Computation since 2009; Consulting Professor at the U. S. Navy from 1993 to 2001; visitor at the National Security Analysis Department of the Applied Physics Laboratory of the Johns Hopkins University in 2015-16; and board member of several research and development companies and non-profit organizations. He is also a chair professor at Tongji University at Shanghai, China. He completed his PhD degree from the Georgia Institute of Technology in 1983. 

Dr. Ayyub is the recipient of many recognitions and awards including  distinguished membership of the American Society of Civil Engineers  (ASCE), the American Society of Naval Engineers (ASNE), and  the ASNE Solberg Award  for Research in 2016. The Engineering News-Record (ENR) selected him in the  top 25 newsmakers in 2017. He also received the  Department of the Army Commander’s Award for Public Service  in 2007 for leading the development of the risk model for the hurricane protection system of New Orleans. Dr. Ayyub received the 2009 American Society of Mechanical Engineers (ASME) Safety Engineering and Risk Analysis Division. He is the Editor-in-Chief of the  ASCE-ASME J. on Risk and Uncertainty. Dr. Ayyub served on the State of Maryland Governor’s Emergency Management Advisory Council in 2011-2016, and on other advisory groups, boards and panels at the state and federal levels and for the National Academies. Dr. Ayyub is the author and co-author of more than 600 publications in journals, conference proceedings, and reports. They include eight textbooks and fourteen edited books. His textbooks include  Risk Analysis in Engineering and Economics  in its second edition (2014),  Uncertainty Modeling and Analysis  (2006), and  Expert Opinion Elicitation for Uncertainty and Risks  (2001).