**Archis Ghate**

Associate
Chair and Associate Professor

Industrial
and Systems Engineering

College
of Engineering Professor of Healthcare Operations Research

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 ÒquantsÓ 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

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,

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