Edwin Romeijn

Jill Stewart Archer Family Chair and
Professor


Contact

  • Edwin Romeijn LinkedIn
  • Edwin Romeijn Google Scholar

Education

  • Ph.D. Economics (Operations Research) (1992), Erasmus University Rotterdam, The Netherlands
  • M.S. Econometrics (1988), Erasmus University Rotterdam, The Netherlands

About

Edwin Romeijn is the Jill Stewart Archer Family Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech. From 2015-2024 he served ISyE as the H. Milton and Carolyn J. Stewart School Chair.

He previously served as Program Director for the Manufacturing Enterprise Systems, Service Enterprise Systems, and Operations Research programs at the National Science Foundation, and as Professor and Richard C. Wilson Faculty Scholar in the Department of Industrial and Operations Engineering at the University of Michigan. Before joining the University of Michigan in 2008, he was on the faculty of the Department of Industrial and Systems Engineering at the University of Florida and the Rotterdam School of Management at the Erasmus University Rotterdam in The Netherlands. 

He is a Fellow of the Institute of Operations Research and the Management Sciences (INFORMS) and the Institute of Industrial & Systems Engineers (IISE), and a member of the Mathematical Optimization Society (MOS), Society of Industrial and Applied Mathematics (SIAM), and the American Association of Physicists in Medicine (AAPM).

Research

Dr. Romeijn's areas of expertise include optimization theory and applications. His recent research activities deal with issues arising in radiation therapy treatment planning and supply chain management. In radiation therapy treatment planning, his main goal has been to develop new models and algorithms for efficiently determining effective treatment plans for cancer patients who are treated using radiation therapy, and treatment schedules for radiation therapy clinics. In supply chain optimization, his main interests are in the integrated optimization of production, inventory, and transportation processes, in particular in the presence of demand flexibility, limited resources, perishability, and uncertainty.

Teaching

Dr. Romeijn has taught and is teaching courses in the areas of stochastic processes, optimization, simulation, and supply chain engineering. He has mentored or is mentoring over 25 Ph.D. students, as well as several visiting graduate students.

Awards and Honors

  • Fellow, Institute of Industrial and Systems Engineers (IISE) 2017
  • Fellow, Institute for Operations Research and the Management Sciences (INFORMS) 2017
  • Richard C. Wilson Faculty Scholar, Department of Industrial and Operations Engineering, University of Michigan January 2012 - December 2013
  • Department Award, College of Engineering, University of Michigan 2010 - 2011
  • Industrial Engineering Research Conference Best Paper Award, Service Systems Track 2006
  • Industrial Engineering Research Conference Best Paper Award, Logistics and Inventory Track 2005
  • Young Investigator’s Award for paper presented at the International Conference on the use of Computers in Radiotherapy (ICCR) 2004
  • Pierskalla Best Paper Award, INFORMS Health Applications Section 2003
  • Research fellow, ERASM September 1996 - September 1999
  • External research fellow, Tinbergen Institute May 1994 - September 1999
  • Finalist, George E. Nicholson Student Paper competition (ORSA) 1993
  • Master’s thesis prize of the Netherlands Society for Statistics and Operations Research (VVS) 1989

Representative Publications

  1. G. Lan, H.E. Romeijn, and Z. Zhou. Conditional gradient methods for convex optimization with general affine and nonlinear constraints. SIAM Journal on Optimization 31:3 (2021), 2307-2339.
  2. Z. Strinka and H.E. Romeijn. Approximation algorithms for selection problems in supply chain optimization. Operations Research 66:3 (2018), 834-848.
  3. I. Lee, M.A. Epelman, H.E. Romeijn, and R.L. Smith. Simplex algorithm for countable-state discounted Markov Decision Processes. Operations Research 65:4 (2017), 1029-1042.
  4. E. Salari and H.E. Romeijn. Quantifying the trade-off between IMRT treatment plan quality and delivery efficiency using Direct Aperture Optimization. INFORMS Journal on Computing 24 (2012), 518-533.
  5. Y. Merzifonluoğlu, J. Geunes, and H.E. Romeijn. The static stochastic knapsack problem with normally distributed item sizes. Mathematical Programming 134:2 (2012), 459-489.
  6. W. van den Heuvel, O.E. Kundakcioglu, J. Geunes, H.E. Romeijn, T.C. Sharkey, and A.P.M. Wagelmans. Integrated market selection and production planning: complexity and solution approaches. Mathematical Programming 134:2 (2012), 395-424.
  7. J. Geunes, R. Levi, H.E. Romeijn, and D. Shmoys. Approximation algorithms for supply chain planning problems with market choice. Mathematical Programming 130:1 (2011), 85-106.
  8. T.C. Sharkey, H.E. Romeijn, and J. Geunes. A class of nonlinear nonseparable continuous knapsack and multiple-choice knapsack problems. Mathematical Programming 126:1 (2011), 69-96.
  9. Z.C. Taşkın, J.C. Smith, H.E. Romeijn, and J.F. Dempsey. Optimal multileaf collimator leaf sequencing in IMRT treatment planning. Operations Research 58:3 (2010), 674-690.
  10. J. Geunes, H.E. Romeijn, and K. Taaffe. Requirements planning with dynamic pricing and order selection flexibility. Operations Research 54:2 (2006), 394-401.
  11. H.E. Romeijn, R.K. Ahuja, J.F. Dempsey, and A. Kumar. A new linear programming approach to radiation therapy treatment planning problems. Operations Research 54:2 (2006), 201-216.
  12. S. van Hoesel, H.E. Romeijn, D. Romero Morales, and A.P.M. Wagelmans. Integrated lot-sizing in serial supply chains with production capacities. Management Science 51:11 (2005), 1706-1719.
  13. H.E. Romeijn, R.K. Ahuja, J.F. Dempsey, and A. Kumar. A column generation approach to radiation therapy treatment planning using aperture modulation. SIAM Journal on Optimization 15:3 (2005), 838-862.
  14. R. Freling, H.E. Romeijn, D. Romero Morales, and A.P.M. Wagelmans. A Branch and Price algorithm for the multi-period single-sourcing problem. Operations Research 51:6 (2003), 922-939.
  15. H.E. Romeijn and D. Romero Morales. Generating experimental data for the Generalized Assignment Problem. Operations Research 49:6 (2001), 866-878.
  16. W.P. Cross, H.E. Romeijn, and R.L. Smith. Approximating extreme points in infinite dimensional convex sets. Mathematics of Operations Research 23:2 (1998), 433-442.
  17. H.E. Romeijn and R.L. Smith. Shadow prices in infinite dimensional linear programming. Mathematics of Operations Research 23:1 (1998), 239-256.
  18. H.E. Romeijn and R.L. Smith. Simulated annealing for constrained global optimization. Journal of Global Optimization 5 (1994), 101-126.
  19. C.J.P. Bélisle, H.E. Romeijn, and R.L. Smith. Hit-and-Run algorithms for generating multivariate distributions. Mathematics of Operations Research 18:2 (1993), 255-266.
  20. H.E. Romeijn, R.L. Smith, and J.C. Bean. Duality in infinite dimensional linear programming. Mathematical Programming 53 (1992), 79-97.
  21. C.G.E. Boender, R.J. Caron, J.F. McDonald, A.H.G. Rinnooy Kan, H.E. Romeijn, R.L. Smith, J. Telgen, and A.C.F. Vorst. Shake-and-Bake algorithms for generating uniform points on the boundary of bounded polyhedra. Operations Research 39:6 (1991), 945-954.