Archis Ghate
Professor
and Fluor Endowed Chair
Department
of Industrial Engineering
273 Freeman Hall, Clemson University
Clemson, SC 29634
Phone: (864)
656-1334
Email: archisg@clemson.edu
Short bio
I joined Clemson
University as a Professor and Fluor Endowed Chair of Industrial Engineering in
September 2023. Prior to that, I was a
Professor of Industrial & Systems Engineering at the University of
Washington in Seattle. 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. I completed my undergraduate education at the Indian
Institute of Technology, Bombay, in 2001.
My field of study is
Operations Research. More specifically, my work focuses on theory, models,
and algorithms for optimization under uncertainty. I like to study problems
that call for analytical techniques from real and functional analysis; convex
optimization; statistics; control; and applied probability.
I am a recipient of the
NSF CAREER award and of the award for Excellence in Teaching Operations
Research from the Institute of Industrial and Systems 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 in finance,
consulting, service operations, or tech companies.
You can find some examples
of my work below.
Research Monograph
Optimal Fractionation in Radiotherapy
Journal Papers
1.
Z. Ghatrani and A. Ghate, Inverse optimization in semi-definite programs to impute
unknown constraint matrices, forthcoming, Computers and Operations Research,
2024
2.
S. Ramani and A. Ghate, A family
of s-rectangular robust MDPs: relative conservativeness, asymptotic analyses,
and finite-sample properties, SIAM Journal on Optimization, 34(2),
1540-1568, 2024
3.
A. Ghate,
Dual ascent and primal-dual algorithms for infinite-horizon nonstationary
Markov decision processes, SIAM Journal on Optimization, 33 (3),
1391-1415, 2023
4.
Z. Ghatrani and A. Ghate, Inverse
Markov decision processes with unknown transition probabilities, IISE
Transactions, 55(6), 588-601, 2023
5.
S. Ramani and A. Ghate, Robust Markov decision processes with
data-driven, distance-based ambiguity sets, SIAM Journal on
Optimization, 32(2), 989-1017, 2022
6.
A. Ghate,
C. Ryan, and R. L. Smith, A Simplex method for countably infinite linear
programs, SIAM Journal on Optimization, 31(4), 3157-3183, 2021
7.
A. Ghate, Inverse
conic linear programs in Banach spaces, Optimization Letters,
15, 289-310, 2021
8.
A. Ghate, Imputing
radiobiological parameters of the linear-quadratic dose-response model from a
radiotherapy fractionation plan, 65(22), 225009, Physics in Medicine
& Biology, 2020
9.
A. Ghate, Inverse
optimization in semi-infinite linear programs, Operations Research
Letters, 48(3), 278-285, 2020
10.A. Ghate, Robust continuous
linear programs, Optimization Letters, 14, 1627-1642, 2020
11.A. Ajdari, F. Saberian, and A. Ghate, A
theoretical framework for learning tumor dose-response uncertainty in
individualized spatiobiologically integrated
radiotherapy, INFORMS Journal on Computing, 32(4), 930-951, 2020
12.S. Nourollahi and A. Ghate, Inverse optimization in minimum cost flow
problems on countably infinite networks, Networks, 73(3), 292-305,
2019
13.S. Nourollahi, A. Ghate, and M Kim, Optimal modality selection in
external beam radiotherapy, Mathematical Medicine
and Biology, 36(3), 361-380, 2019
14.A. Ajdari,
A. Ghate, and M. Kim, Adaptive treatment-length
optimization in spatiobiologically integrated
radiotherapy, Physics in Medicine and Biology,
63(7), 2018
15.J. Kotas and
A. Ghate, Bayesian learning of dose-response
parameters from a cohort under response-guided dosing, European Journal
of Operational Research, 265(1), 328-343, 2018
16.A. Ghate, Duality
in countably infinite monotropic programs, SIAM Journal on Optimization,
27(3), 2010-2033, 2017
17.M. Salemi Parizi, Y. Gocgun, and A. Ghate, Approximate policy iteration for dynamic
resource-constrained project scheduling, Operations Research Letters,
45(5), 442-447, 2017
18.S. Nourollahi and
A. Ghate, Duality in convex minimum cost flow
problems on infinite networks and hypernetworks, Networks, 70(2),
98-115, 2017
19.F. Saberian,
A. Ghate, and M. Kim, Spatiotemporally
optimal fractionation in radiotherapy, INFORMS Journal on Computing,
29(3), 422-437, 2017
20.F. Saberian,
A. Ghate, and M. Kim, A theoretical stochastic control
framework for adapting radiotherapy to hypoxia, Physics in Medicine and
Biology, 61(19), 7136, 2016
21.A. Ajdari and
A. Ghate, Robust spatiotemporally integrated
fractionation in radiotherapy, Operations Research Letters, 44(4),
544-549, 2016
22.S. Sinha and A. Ghate, Policy
iteration for robust nonstationary Markov decision processes, Optimization
Letters, 10(8), 1613-1628, 2016
23.J. Kotas and
A. Ghate, Response-guided dosing for rheumatoid
arthritis, IIE Transactions on Healthcare Systems Engineering,
6(1), 1-21, 2016
24.S. Sinha, J. Kotas,
and A. Ghate, Robust response-guided
dosing, Operations Research Letters, 44(3), 394-399, 2016
25.A. Ghate, Robust
optimization in countably infinite linear programs, Optimization
Letters, 10(4), 847-863, 2016
26.F. Saberian,
A. Ghate, and M. Kim, Optimal fractionation in
radiotherapy with multiple normal tissues, Mathematical Medicine and Biology, 33(2), 211-252, 2016
27.A. Ghate, Circumventing
the Slater conundrum in countably infinite linear programs, European
Journal of Operational Research, 246(3), 708-720, 2015
28.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)
29.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
30.A. Ghate, Inverse
optimization in countably infinite linear programs, Operations Research
Letters, 43, 231-235, 2015; supplementary material
31.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
32.T D Lortz,
I S Dolinskaya, A Ghate,
and R L Smith, Solvability in infinite horizon optimization, Operations
Research Letters, 43, 498-503, 2015
33.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
34.A. Ghate,
and R. L. Smith, A linear programming approach to nonstationary infinite
horizon Markov decision processes, Operations Research, 61 (2),
413-425, 2013
35.Y. Gocgun,
and A. Ghate, Lagrangian relaxation
and constraint generation for allocation and advanced scheduling, Computers
and Operations Research, 39 (10), 2323-2336, 2012
36.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
37.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
38.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
39.M. Epelman,
A. Ghate, and R. L. Smith, Sampled fictitious
play for approximate dynamic programming, Computers and Operations
Research, 38, 1705-1718, 2011
40.A. Ghate, D.
Sharma, and R. L. Smith, A shadow simplex method for infinite linear
programs, Operations Research, 58 (4), 865-877, 2010
41.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
42.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
43.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
44.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
45.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
46.A. Ghate,
and R. L. Smith, A hit-and-run approach for generating scale invariant
Small World networks, Networks, 53 (1), 67-78, 2009
47.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
48.A. Ghate,
and R. L. Smith, A dynamic programming approach to efficient sampling from
Boltzmann distributions, Operations Research Letters, 36 (6),
665-668, 2008
49.A. Ghate,
and R. L. Smith, Adaptive search with stochastic acceptance probabilities
for global optimization, Operations Research Letters, 36(3),
285-290, 2008
Peer Reviewed Conference Proceedings
1. M. Salemi Parizi and A. Ghate, Weakly coupled Markov decision processes with
imperfect information, Proceedings of the Winter Simulation
Conference, National Harbor, MD, 2019
2. S. Nourollahi, A. Ghate, and M. Kim,
Robust modality selection in radiotherapy, Proceedings of the INFORMS
International Conference on Service Science, 2018, Phoenix, AZ, 2018
3. P. Kumar
and A. Ghate, Information Directed Policy Sampling
for Partially Observable Markov Decision Processes with parametric
uncertainty, Proceedings of the INFORMS International Conference on
Service Science, 2018, Phoenix, AZ, 2018
4. M. Salemi Parizi and A. Ghate, Lot-sizing in sequential auctions while learning
demand and bid distributions, Proceedings of the Winter
Simulation Conference, Washington, D. C., 2016
5. A. Ajdari and A. Ghate, A model
predictive control approach for discovering nonstationary fluence-maps in
cancer radiotherapy fractionation, Proceedings of the
Winter Simulation Conference, Washington, D. C., 2016
6. 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
7. Y. Gocgun and A. Ghate, A Lagrangian approach to dynamic resource
allocation, Proceedings of the Winter Simulation Conference,
Baltimore, MD, 2010