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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 become faculty or work as “quants” in finance or service operations companies.

 

Writings

 

1.    S. Sinha and A. Ghate, Policy iteration for robust countable-state Markov decision processes, April 2016

 

2.    M. Salemi Parizi, Y. Gocgun, and A. Ghate, Simulation-based approximate policy iteration for dynamic resource-constrained project scheduling, April 2016

 

3.    A. Ghate, Duality in countably infinite monotropic programs, February 2016

 

4.    S. Nourollahi and A. Ghate, A technical note on duality in convex minimum cost flow problems on infinite hypernetworks, February 2016

 

5.    A. Ajdari and A. Ghate, Robust spatiotemporally integrated fractionation in radiotherapy, January 2016

 

6.    J. Kotas and A. Ghate, Optimal Bayesian learning of dose-response parameters from a cohort, July 2015

 

7.    F. Saberian, A. Ghate, and M. Kim, A theoretical stochastic control framework for adapting radiotherapy to hypoxia, May 2015

 

8.    A. Ghate, Duality in convex minimum cost flow problems in infinite networks, 2015

 

9.    F. Saberian, A. Ghate, and M. Kim, Spatiotemporally optimal fractionation in radiotherapy, original version March 2014, this version April 2015

 

10.S. Sinha and A. Ghate, Policy iteration for robust nonstationary Markov decision processes, Optimization Letters, 2016, DOI 10.1007/s11590-016-1040-6

 

11.J. Kotas and A. Ghate, Response-guided dosing for rheumatoid arthritis, IIE Transactions on Healthcare Systems Engineering, 6(1), 1-21, 2016

 

12.S. Sinha, J. Kotas, and A. Ghate, Robust response-guided dosing, Operations Research Letters, 44(3), 394-399, 2016

 

13.A. Ghate, Robust optimization in countably infinite linear programs, Optimization Letters, 10(4), 847-863, 2016

 

14.A. Ghate, Circumventing the Slater conundrum in countably infinite linear programs, European Journal of Operational Research, 246(3), 708-720, 2015

 

15.F. Saberian, A. Ghate, and M. Kim, A two-variable linear program solves the standard linear-quadratic formulation of the fractionation problem in cancer radiotherapy, Operational Research Letters, 43(3), 254-258, 2015; corrigendum (thanks to Professor Mike Todd of Cornell University)

 

16.F. Saberian, A. Ghate, and M. Kim, Optimal fractionation in radiotherapy with multiple normal tissues, forthcoming in Mathematical Medicine and Biology, available online May 2015

 

17.A. Ghate, Optimal minimum bids and inventory scrapping in sequential, single-unit, Vickrey auctions with demand learning, European Journal of Operational Research, 245(2), 555-570, 2015

 

18.A. Ghate, Inverse optimization in countably infinite linear programs, Operations Research Letters, 43, 231-235, 2015; supplementary material

 

19.M. Salemi Parizi and A. Ghate, Multi-class, multi-resource advance scheduling with no-shows, cancellations, and overbooking, Computers and Operations Research, 67, 90-101, 2016

 

20.T D Lortz, I S Dolinskaya, A Ghate, and R L Smith, Solvability in infinite horizon optimization, Operations Research Letters, 43, 498-503, 2015

 

21.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

 

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

 

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

 

24.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

 

25.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

 

26.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

 

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

 

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

 

29.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

 

30.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

 

31.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

 

32.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

 

33.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

 

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

 

35.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

 

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

 

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