INFORMS Open Forum

Congratulations to the new INFORMS Fellows - Class of 2023

  • 1.  Congratulations to the new INFORMS Fellows - Class of 2023

    Posted 10-03-2023 13:05

    Dear INFORMS Colleagues,

    On behalf of the 2023 INFORMS Fellows Selection Committee, I am honored to announce the INFORMS Fellows Class of 2023.  We will recognize these individuals during the Fellows Luncheon at the Annual Meeting in Phoenix. 

    Dorit

     

    M. Selim Aktürk

    Professor
    Department of Industrial Engineering
    Bilkent University

     

    For exceptional leadership in the development of industrial engineering and operations research in Turkey; for longstanding teaching and mentorship of future scholars; and for research contributions on airline disruption management.

     

    Maged Dessouky

    Dean's Professor of Industrial and Systems Engineering
    University of Southern California

    For contributions in transportation, logistics, operations research, and management science; sustained academic and professional leadership; and for dedicated service in these areas.

     

    Ozlem Ergun

    College of Engineering Distinguished Professor
    Associate Chair for Graduate Affairs
    Mechanical and Industrial Engineering
    Northeastern University 

    For the application of O.R. methods to humanitarian and health systems, emergency response, and transportation and logistics problems; and establishing a community of O.R. professionals with interest in public programs.

     

    Arnold Greenland

    Distinguished Engineer, IBM Corporation, Retired

    Professor of the Practice, University of Maryland, Retired

    For leadership and impact on multiple projects applying operations research in industry, and sustained service to the INFORMS Practice community.

     

    Simge Küçükyavuz

    Chair and David A. and Karen Richards Sachs Professor of Industrial Engineering and Management Sciences
    McCormick School of Engineering
    Northwestern University

    For outstanding research in mixed-integer optimization and stochastic optimization, as well as distinguished service to, and leadership in, the profession.

     

    Andrea Lodi

    Andrew H. and Ann R. Tisch Professor
    Jacobs Technion-Cornell Institute
    Cornell Tech and Technion - IIT

     

    For theoretical and computational contributions in discrete optimization, especially powerful primal heuristic methods to quickly find high-quality feasible solutions and breakthroughs in exploiting the dual side of integer programming.

     

    Ranganath Nuggehalli

    Principal Scientist
    UPS

    For advancing and promoting the practice of Operations Research  and Management Sciences and for sustained service to the INFORMS Practice community by  enhancing collaboration between industry and academic O.R. professionals.

     

    Ted Ralphs

    Professor
    Industrial and Systems Engineering
    Lehigh University

    For contributions to the field of discrete optimization, leadership in developing high-quality open source software, and service contributions to the operations research community.

     

    Rhonda Righter

    Professor and Ronald W. Wolff Chancellor's Chair in Industrial Engineering and Operations Research
    University of Californi

    For research, education, and professional leadership in the theory and application of stochastic modeling and control in manufacturing, service, telecommunication, and computing systems. 

     

    J. Cole Smith

    Dean, College of Engineering and Computer Science
    Syracuse University

    For sustained leadership and service to INFORMS and the profession; impactful research in integer programming, network interdiction, and multilevel optimization; and for distinguished leadership in academia.

     

    Kwok-Leung Tsui

    Professor
    Grado Department of Industrial & Systems Engineering
    Virginia Tech

    For contributions to pioneering research in robust design and long-established research in data science with an impact on manufacturing and other industries, and for leadership in education and within the INFORMS community.

     

    Peiling Wu-Smith

    Manager, Program Lead, & Technical Fellow; Enterprise Data, Analytics, & Insights; General Motors

    For advancing and applying Operations Research at General Motors through broad and high-impact contributions to quantitative choice modeling in vehicle contenting, electric vehicle adoption, revenue management, and future mobility alternatives; and promoting research collaboration with academia to mentor future O.R. professionals.



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    Dorit Hochbaum
    Professor
    UC Berkeley
    Berkeley
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