Archis Ghate

Associate Professor

Industrial and Systems Engineering

University of Washington, Seattle

Office: AERB 141D

Email: archis@uw.edu

 

Short bio

I joined the University of Washington as an Assistant Professor in September 2006. I received a PhD in Industrial and Operations Engineering from the University of Michigan in 2006, and an MS in Management Science and Engineering from Stanford in 2003. Before that, I completed my undergraduate education in Chemical Engineering at the Indian Institute of Technology, Bombay, in 2001.

 

My field of study is Operations Research. You can find more about this area at the Institute for Operations Research and the Management Sciences (INFORMS) website here. More specifically, my work focuses on stochastic and dynamic optimization problems. I often use dynamic programming, optimal control, mathematical programming, applied probability, statistics, and game theory to model and solve these problems.

 

I am a recipient of the NSF CAREER award and of the award for Excellence in Teaching Operations Research from the Institute of Industrial Engineers. My doctoral students have won the Dantzig dissertation prize and the Bonder scholarship from INFORMS, and other competitive awards/fellowships from the University of Washington. Upon graduation, my doctoral students typically become faculty or work as “quants” in finance or service operations companies.

 

Publications

 

1.    A. Ghate, Shih-Fen Cheng, S. Baumert, D. Reaume, D. Sharma, and R. L. Smith, Sampled fictitious play for multi-action stochastic dynamic programs, IIE Transactions, 46 (7), 742-756, 2014

 

2.    A. Ghate, and R. L. Smith, A linear programming approach to nonstationary infinite horizon Markov decision processes, Operations Research, 61 (2), 413-425, 2013

 

3.    Y. Gocgun, and A. Ghate, Lagrangian relaxation and constraint generation for allocation and advanced scheduling, Computers and Operations Research, 39 (10), 2323-2336, 2012

 

4.    M. Kim, A. Ghate and M. Phillips, A stochastic control formalism for dynamic biologically conformal radiation therapy, European Journal of Operational Research, 219 (3), 541-556, 2012

 

5.    X. Chen, A. Ghate, and A. Tripathi, Dynamic lot-sizing in sequential online retail auctions, European Journal of Operational Research, 215 (1), 257-267, 2011

 

6.    Y. Gocgun, B. Bresnahan, A. Ghate, and M. Gunn, A Markov decision process approach to multi-category patient scheduling in a diagnostic facility, Artificial Intelligence in Medicine, 53 (2), 73-81, 2011

 

7.    M. Epelman, A. Ghate, and R. L. Smith, Sampled fictitious play for approximate dynamic programming, Computers and Operations Research, 38, 1705-1718, 2011

 

8.    A. Ghate, D. Sharma, and R. L. Smith, A shadow simplex method for infinite linear programs, Operations Research, 58 (4), 865-877, 2010

 

9.    W. Wang, A. Ghate, and Z. B. Zabinsky, Adaptive parameterized improving hit-and-run for global optimization, Optimization Methods and Software, 24(4-5), 569-594, 2009

 

10.M. Kim, A. Ghate, and M. Phillips, A Markov decision process approach to temporal modulation of dose fractions in radiation therapy planning, Physics in Medicine and Biology, 54(14), 4455-4476, 2009

 

11.A. Ghate, and R. L. Smith, Optimal backlogging over an infinite horizon under time-varying convex production and inventory costs, Manufacturing and Service Operations Management, 11, 362-268, 2009

 

12.S. Baumert, A. Ghate, S. Kiatsupaibul, Y. Shen, R. L. Smith, and Z. B. Zabinsky, Discrete hit-and-run for sampling points from arbitrary distributions over subsets of integer hyper-rectangles, Operations Research, 57 (3), 727-739, 2009

 

13.A. Ghate, and R. L. Smith, Characterizing extreme points as basic feasible solutions in infinite linear programs, Operations Research Letters, 37(1), 7-10, 2009

 

14.A. Ghate, and R. L. Smith, A hit-and-run approach for generating scale invariant Small World networks, Networks, 53 (1), 67-78, 2009

 

15.A. Ghate, Decentralized search on spheres using small-world Markov chains: expected hitting times and structural properties, Advances in Applied Probability, 4 (4), 966-978, 2008

 

16.A. Ghate, and R. L. Smith, A dynamic programming approach to efficient sampling from Boltzmann distributions, Operations Research Letters, 36 (6), 665-668, 2008

 

17.A. Ghate, and R. L. Smith, Adaptive search with stochastic acceptance probabilities for global optimization, Operations Research Letters, 36(3), 285-290, 2008

 

18.Y. Gocgun and A. Ghate, A Lagrangian approach to dynamic resource allocation, Proceedings of the Winter Simulation Conference, Baltimore, MD, 2010

 

19.Z. B. Zabinsky, W. Wang, Y. Prasetio, A. Ghate, and J. W. Yen, Adaptive probabilistic branch and bound for level set approximation, Proceedings of the Winter Simulation Conference, Phoenix, AZ, 2011

 

20.A. Ghate, Dynamic optimization in radiotherapy, Tutorials in Operations Research, 2011

 

21.A. Ghate, Infinite horizon problems, Encyclopedia of Operations Research and Management Science, 2011

 

22.A. Ghate, Book review of “Linear and nonlinear programming with Maple: An interactive applications-based approach by P. E. Fishback”, SIAM Review, 53 (1), 191-193, 2011

 

23.X. Chen and A. Ghate, Financial contagion on power law networks, contributed to the online repository Social Science Research Network, 2011

 

24.F. Saberian, A. Ghate, and M. Kim, Optimal fractionation in radiotherapy with multiple normal tissues, contributed to the online repository Social Science Research Network, 2014

 

25.A. Ghate, Dynamic auctions with demand learning, contributed to the online repository Social Science Research Network, 2014

 

26.A. Ghate, Duality in countably infinite linear programs, contributed to the online repository Social Science Research Network, 2014