**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 ÒquantsÓ in finance or
service operations companies.

**Writings**

1.
J.
Kotas and A. Ghate, Optimal
Bayesian learning of dose-response parameters from a cohort, July 2015

2.
F.
Saberian, A. Ghate, and M. Kim, A theoretical
stochastic control framework for adapting radiotherapy to hypoxia, May 2015

3.
A.
Ajdari and A. Ghate, Robust
fractionation in radiotherapy, May 2015

4.
F.
Saberian, A. Ghate, and M. Kim, Spatiotemporally
optimal fractionation in radiotherapy, original version March 2014, this
version April 2015

5.
A.
Ghate, Duality
in convex minimum cost flow problems in infinite networks, April 2015

6.
A.
Ghate, Robust
optimization in countably infinite linear programs,
February 2015

7. A. Ghate, Circumventing the Slater
conundrum in countably infinite linear programs, *European Journal of Operational Research*,
forthcoming, 2015

8.
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

9.
F.
Saberian, A. Ghate, and M. Kim, Optimal
fractionation in radiotherapy with multiple normal tissues, *Mathematical Medicine and Biology,*
forthcoming, 2015

10.A. Ghate, Optimal
minimum bids and inventory scrapping in sequential, single-unit, Vickrey auctions with demand learning, *European Journal of Operational Research,*
forthcoming, 2015

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

12.M. Salemi
Parizi and A. Ghate, Multi-class,
multi-resource advance scheduling with no-shows, cancellations, and overbooking,
January 2015

13.T D Lortz, I S Dolinskaya, A Ghate,
and R L Smith, Solvability
in infinite horizon optimization, *Operations
Research Letters*, forthcoming, 2015

14. J. Kotas and A. Ghate, Response-guided
dosing for rheumatoid arthritis, November 2014

15.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

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

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

18.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

19.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

20.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

21.M. Epelman,
A. Ghate, and R. L. Smith, Sampled fictitious play
for approximate dynamic programming, *Computers
and Operations Research , *38

22.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

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

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

25.A. Ghate, Book review of ÒLinear and nonlinear
programming with Maple: An interactive applications-based approach by P. E. FishbackÓ, *SIAM
Review*, 53 (1), 191-193, 2011

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

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

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

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