Logo: University of Southern California

Suvrajeet Sen

Suvrajeet Sen
Professor
Industrial and Systems Engineering
Phone: (213)740-6810
Fax: (213)740-1120
email: s.sen@usc.edu

Education

  •  Ph.D. Industrial Engineering & Operations Research, Virginia Tech, 1982

Research Interests

  • Modeling with Optimization Technologies
  • Applications (Infrastructure Systems: Electric Power and Markets, Telecommunications Networks, Traffic and Transportation)

Appointments


  • Professor, Epstein Dept. of ISE, University of Southern California, (2012 - present). Courtesy appointment in Electrical Engineering - Systems
  • Professor, Ohio State Univ. (2006-2013),  Univ. of Arizona (1982-2006)
  • Director, Data-Driven Decisions Lab and OR-Ohio (2006-2012)
  • Director, Center for Energy, Sustainability and Environment (2007-2010)
  • Program Director, NSF/ENG (2003-2005)
  • Several Sabbatical Visits, including Oak Ridge, Stanford and Zurich

Honors and Awards

  • Fellow, INFORMS (Inst. for Operations Research & Management Science)
  • Distinguished Alumnus, Univ. of Louisville
  • Distinguished Speaker, Penn State, Texas A&M, and Invited Speaker at over 50 universities world-wide.
  • Keynote speaker at International Conferences on Stochastic Programming (Vienna, Austria and Berlin, Germany) Service Systems (China), Infrstructures (India).
  • Tutorial Speaker at INFORMS conferences (Boston, New Orleans, Salt Lake City, Maui). INFORMS OR-Practice speaker (Phoenix, Boston)

Professional Service

 

  • Editorial Board Member of several INFORMS journals, including service as Optimization Area Editor of Operations Research
  • Founder, INFORMS Optimization Society (1996)
  • Past Chair, INFORMS Telecommunications Section (1995)
  • General Chair (International Conference on SP, 2004) Program Chair (INFORMS, 1993)

Research Grants


  • Lead PI for Federal grants totaling approximately $9 million.
  • On-going Projects
    • National Science Foundation Project, Stochastic Multi-Scale Optimization for Energy Resource Planning, Duration: July 2009 - June 2013 ($245,999)
    • National Science Foundation Project, Stochastic mixed-integer optimization: Polyhedral theory, large-scale algorithms and computations (Co-PI: S. Küçükyavuz), Duration: July 2011 - June 2013 ($230,000)
    • National Science Foundation Project, OR as a Catalyst for NAE Grand Challenges, Duration: August 2012 - July 2013 ($25,000).
    • Air Force Office for Scientific Research Project, Dynamic Stochastic Mixed-Integer Programming, Duration: February 2013 - 2015 ($310,000)

Publications and Research Philosophy


Published in flagship journals of INFORMS (e.g., Operations Research, Management Science, Math. of Oper. Research, and Transportation Science) as well as several papers in Mathematical Programming.   In addition to leading algorithmic advances in Stochastic Optimization, the research has been adopted in commercial software supporting solvers for stochastic optimization models. The research on Infrastructure Systems includes applications in power system operations, telecommunications network design and vehicular traffic control. These applications have not only implemented state-of-the-art methodologies, but have also motivated new algorithms for stochastic optimization. This symbiosis between new stochastic optimization algorithms and new applications makes this research rigorous and impactful.
  • S. Sen, R. Pillai, S. Joshi, A. Rathi, “A Mean-Variance Model for Route Guidance in Advanced Traveller Information Systems," Transportation Science, 35, pp. 37-49, 2001.
  • G. Lulli and S. Sen, “A Branch and Price Algorithm for Multi-stage Stochastic Integer Programs with Applications to Stochastic Lot Sizing Problems," Management Science, 50, pp. 786-796, 2004.
  • M. Casey and S. Sen, “The Scenario Generation Algorithm for Multi-stage Stochastic Linear Programming," Mathematics of Operations Research, 30, pp. 615-631, 2005.
  • S. Sen and H.D. Sherali, “Decomposition with Branch-and- Cut Approaches for Two Stage Stochastic Integer Programming," Mathematical Programming, 106, pp. 203-223, 2006.
  • B. Chen, S. Küçükyavuz, and S. Sen, “Finite Disjunctive Programming Characterizations for General Mixed-Integer Linear Programs,” Operations Research, 59, pp. 202–210, 2011.