headshot of Oleg Prokopyev

Oleg Prokopyev

Adjunct Professor
Professor
droleg@pitt.edu
(412) 624-9833
Personal webpage Google Scholar Industrial Engineering

overview

Dr. Oleg Prokopyev is a Professor in the Department of Industrial Engineering at the University of Pittsburgh. He received MS and PhD degrees in industrial and systems engineering from the University of Florida and BS and MS degrees in applied mathematics and physics from Moscow Institute of Physics and Technology (Moscow, Russia). Dr. Prokopyev’s research interests are in the areas of combinatorial optimization, bilevel programming, optimization under uncertainty, and applications in health care, bioinformatics and network analysis problems. His research has been supported by the National Science Foundation, Air Force Office of Scientific Research (AFOSR) and Office of Naval Research. Dr. Prokopyev is a recipient of the AFOSR Young Investigator Program Award. He is the Co-Editor-in-Chief of Optimization Letters and serves on the editorial boards of IISE Transactions and Journal of Global Optimization.

about

The 2019 Best Publication Award in Environment and Sustainability by the INFORMS Section on Energy, Natural Resources, and the Environment (ENRE).

Air Force Summer Faculty Fellowship, 2010, 2011, 2013, 2014, 2021.

The 2004 William Pierskalla Best Paper Award by the Health Applications Society of INFORMS.

Air Force Office of Scientific Research, Young Investigator Research Program (YIP) Award, 2010.

PhD, Industrial and Systems Engineering, University of Florida, 2006

MS, Applied Mathematics and Physics, Moscow Institute of Physics and Technology (MIPT), 2002

BS, Applied Mathematics and Physics, Moscow Institute of Physics and Technology (MIPT), 2000

Lagos, T., Choi, J., Segundo, B., Gan, J., Ntaimo, L., & Prokopyev, O.A. (2025). Bilevel optimization approach for fuel treatment planning. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 320(1), 205-218.Elsevier. doi: 10.1016/j.ejor.2024.07.014.

Lagos, T., Prokopyev, O.A., & Veremyev, A. (2024). Finding groups with maximum betweenness centrality via integer programming with random path sampling. JOURNAL OF GLOBAL OPTIMIZATION, 88(1), 199-232.Springer Nature. doi: 10.1007/s10898-022-01269-2.

Ketkov, S.S., Prokopyev, O.A., & Maillart, L.M. (2023). Planning of life-depleting preventive maintenance activities with replacements. ANNALS OF OPERATIONS RESEARCH, 324(1-2), 1461-1483.Springer Nature. doi: 10.1007/s10479-022-04767-4.

Lagos, T., & Prokopyev, O.A. (2023). On complexity of finding strong-weak solutions in bilevel linear programming. OPERATIONS RESEARCH LETTERS, 51(6), 612-617.Elsevier. doi: 10.1016/j.orl.2023.09.011.

Lamperski, J., Prokopyev, O.A., & Wrabetz, L.G. (2023). MIN-MAX-MIN OPTIMIZATION WITH SMOOTH AND STRONGLY CONVEX OBJECTIVES. SIAM JOURNAL ON OPTIMIZATION, 33(3), 2435-2456.Society for Industrial & Applied Mathematics (SIAM). doi: 10.1137/22M1489940.

Matsypura, D., Veremyev, A., Pasiliao, E.L., & Prokopyev, O.A. (2023). Finding the most degree-central walks and paths in a graph: Exact and heuristic approaches. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 308(3), 1021-1036.Elsevier. doi: 10.1016/j.ejor.2022.12.014.

Qiu, Q., Maillart, L.M., Prokopyev, O.A., & Cui, L. (2023). Optimal Condition-Based Mission Abort Decisions. IEEE TRANSACTIONS ON RELIABILITY, 72(1), 408-425.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TR.2022.3172377.

Sanoubar, S., de Jonge, B., Maillart, L.M., & Prokopyev, O.A. (2023). Optimal Condition-Based Maintenance via a Mobile Maintenance Resource. TRANSPORTATION SCIENCE, 57(6), 1646-1670.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/trsc.2021.0302.

Shi, X., Prokopyev, O.A., & Ralphs, T.K. (2023). Mixed integer bilevel optimization with a k-optimal follower: a hierarchy of bounds. MATHEMATICAL PROGRAMMING COMPUTATION, 15(1), 1-51.Springer Nature. doi: 10.1007/s12532-022-00227-z.

Yang, J., Shi, X., & Prokopyev, O.A. (2023). Exact solution approaches for a class of bilevel fractional programs. OPTIMIZATION LETTERS, 17(1), 191-210.Springer Nature. doi: 10.1007/s11590-022-01869-7.

Zhong, H., Pajouh, F.M., & Prokopyev, O.A. (2023). On designing networks resilient to clique blockers. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 307(1), 20-32.Elsevier. doi: 10.1016/j.ejor.2022.09.013.

Blokhin, Y., Butenko, S., Momcilovic, P., & Prokopyev, O.A. (2022). On maximum ratio clique relaxations. NETWORKS, 80(4), 440-465.Wiley. doi: 10.1002/net.22097.

Borrero, J.S., Prokopyev, O.A., & Sauré, D. (2022). Learning in Sequential Bilevel Linear Programming. INFORMS Journal on Optimization, 4(2), 174-199.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoo.2021.0063.

Han, S., Gomez, A., & Prokopyev, O.A. (2022). Fractional 0-1 programming and submodularity. JOURNAL OF GLOBAL OPTIMIZATION, 84(1), 77-93.Springer Nature. doi: 10.1007/s10898-022-01131-5.

Shi, X., Prokopyev, O.A., & Zeng, B. (2022). Sequence independent lifting for a set of submodular maximization problems. MATHEMATICAL PROGRAMMING, 196(1-2), 69-114.Springer Nature. doi: 10.1007/s10107-022-01801-y.

Veremyev, A., Boginski, V., Pasiliao, E.L., & Prokopyev, O.A. (2022). On integer programming models for the maximum 2-club problem and its robust generalizations in sparse graphs. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 297(1), 86-101.Elsevier. doi: 10.1016/j.ejor.2021.05.010.

Gillen, C.P., Veremyev, A., Prokopyev, O.A., & Pasiliao, E.L. (2021). Fortification Against Cascade Propagation Under Uncertainty. INFORMS JOURNAL ON COMPUTING, 33(4), 1481-1499.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.2020.0992.

Gomez, A., & Prokopyev, O.A. (2021). A Mixed-Integer Fractional Optimization Approach to Best Subset Selection. INFORMS JOURNAL ON COMPUTING, 33(2), 551-565.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.2020.1031.

Ketkov, S.S., Prokopyev, O.A., & Burashnikov, E.P. (2021). An approach to the distributionally robust shortest path problem. COMPUTERS & OPERATIONS RESEARCH, 130, 105212.Elsevier. doi: 10.1016/j.cor.2021.105212.

Mehmanchi, E., Gomez, A., & Prokopyev, O.A. (2021). Solving a class of feature selection problems via fractional 0-1 programming. ANNALS OF OPERATIONS RESEARCH, 303(1-2), 265-295.Springer Nature. doi: 10.1007/s10479-020-03917-w.

Sanoubar, S., He, K., Maillart, L.M., & Prokopyev, O.A. (2021). Optimal Age-Replacement in Anticipation of Time-Dependent, Unpunctual Policy Implementation. IEEE TRANSACTIONS ON RELIABILITY, 70(3), 1177-1192.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TR.2020.2980278.

Sanoubar, S., Maillart, L.M., & Prokopyev, O.A. (2021). Age-replacement policies under age-dependent replacement costs. IISE TRANSACTIONS, 53(4), 425-436.Taylor & Francis. doi: 10.1080/24725854.2020.1819580.

Vora, N., Gillen, C., Prokopyev, O.A., & Khanna, V. (2021). Rewiring the Domestic US Rice Trade for Reducing Irrigation Impacts-Implications for the Food-Energy-Water Nexus. ACS SUSTAINABLE CHEMISTRY & ENGINEERING, 9(28), 9188-9198.American Chemical Society (ACS). doi: 10.1021/acssuschemeng.1c00776.

Yang, J., Borrero, J.S., Prokopyev, O.A., & Saure, D. (2021). Sequential Shortest Path Interdiction with Incomplete Information and Limited Feedback. DECISION ANALYSIS, 18(3), 218-244.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/deca.2021.0426.

Zenarosa, G.L., Prokopyev, O.A., & Pasiliao, E.L. (2021). On exact solution approaches for bilevel quadratic 0-1 knapsack problem. ANNALS OF OPERATIONS RESEARCH, 298(1-2), 555-572.Springer Nature. doi: 10.1007/s10479-018-2970-4.

Zhong, H., Pajouh, F.M., & Prokopyev, O.A. (2021). Finding influential groups in networked systems: The most degree-central clique problem * , **. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 101, 102262.Elsevier. doi: 10.1016/j.omega.2020.102262.

Ketkov, S.S., & Prokopyev, O.A. (2020). On greedy and strategic evaders in sequential interdiction settings with incomplete information. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 92, 102161.Elsevier. doi: 10.1016/j.omega.2019.102161.

Kim, J., Veremyev, A., Boginski, V., & Prokopyev, O.A. (2020). On the maximum small-world subgraph problem. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 280(3), 818-831.Elsevier. doi: 10.1016/j.ejor.2019.07.042.

Mehmanchi, E., Bidkhori, H., & Prokopyev, O.A. (2020). Analysis of process flexibility designs under disruptions. IISE TRANSACTIONS, 53(2), 131-148.Taylor & Francis. doi: 10.1080/24725854.2020.1759162.

Mehmanchi, E., Gillen, C.P., Gómez, A., & Prokopyev, O.A. (2020). On Robust Fractional 0-1 Programming. INFORMS Journal on Optimization, 2(2), 96-133.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoo.2019.0025.

Steffen, R., Prokopyev, O.A., & Singh, B. (2020). Two-stage stochastic minimum s - t cut problems: Formulations, complexity and decomposition algorithms. NETWORKS, 75(3), 235-258.Wiley. doi: 10.1002/net.21922.

Zare, M.H., Prokopyev, O.A., & Saure, D. (2020). On Bilevel Optimization with Inexact Follower. DECISION ANALYSIS, 17(1), 74-95.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/deca.2019.0392.

Borrero, J.S., Prokopyev, O.A., & Krokhmal, P. (2019). Optimization of Cascading Processes in Arbitrary Networks with Stochastic Interactions. IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 6(4), 773-787.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TNSE.2018.2873280.

Borrero, J.S., Prokopyev, O.A., & Saure, D. (2019). Sequential Interdiction with Incomplete Information and Learning. OPERATIONS RESEARCH, 67(1), 72-89.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/opre.2018.1773.

He, K., Maillart, L.M., & Prokopyev, O.A. (2019). Optimal sequencing of heterogeneous, non-instantaneous interventions. ANNALS OF OPERATIONS RESEARCH, 276(1-2), 109-135.Springer Nature. doi: 10.1007/s10479-018-2813-3.

Matsypura, D., Veremyev, A., Prokopyev, O.A., & Pasiliao, E.L. (2019). On exact solution approaches for the longest induced path problem. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 278(2), 546-562.Elsevier. doi: 10.1016/j.ejor.2019.04.011.

Mehmanchi, E., Gomez, A., & Prokopyev, O.A. (2019). Fractional 0-1 programs: links between mixed-integer linear and conic quadratic formulations. JOURNAL OF GLOBAL OPTIMIZATION, 75(2), 273-339.Springer Nature. doi: 10.1007/s10898-019-00817-7.

Shi, X., Zeng, B., & Prokopyev, O.A. (2019). On bilevel minimum and bottleneck spanning tree problems. NETWORKS, 74(3), 251-273.Wiley. doi: 10.1002/net.21881.

Tavaslioglu, O., Prokopyev, O.A., & Schaefer, A.J. (2019). Solving Stochastic and Bilevel Mixed-Integer Programs via a Generalized Value Function. OPERATIONS RESEARCH, 67(6), 1659-1677.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/opre.2019.1842.

Veremyev, A., Prokopyev, O.A., & Pasiliao, E.L. (2019). Finding Critical Links for Closeness Centrality. INFORMS JOURNAL ON COMPUTING, 31(2), 367-389.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.2018.0829.

Zare, M.H., Borrero, J.S., Zeng, B., & Prokopyev, O.A. (2019). A note on linearized reformulations for a class of bilevel linear integer problems. ANNALS OF OPERATIONS RESEARCH, 272(1-2), 99-117.Springer Nature. doi: 10.1007/s10479-017-2694-x.

Gillen, C.P., Veremyev, A., Prokopyev, O.A., & Pasiliao, E.L. (2018). Critical arcs detection in influence networks. NETWORKS, 71(4), 412-431.Wiley. doi: 10.1002/net.21761.

Khojandi, A., Maillart, L.M., Prokopyev, O.A., Roberts, M.S., & Saba, S.F. (2018). Dynamic Abandon/Extract Decisions for Failed Cardiac Leads. MANAGEMENT SCIENCE, 64(2), 633-651.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/mnsc.2016.2621.

Matsypura, D., Prokopyev, O.A., & Zahar, A. (2018). Wildfire fuel management: Network-based models and optimization of prescribed burning. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 264(2), 774-796.Elsevier. doi: 10.1016/j.ejor.2017.06.050.

Ozaltin, O.Y., Prokopyev, O.A., & Schaefer, A.J. (2018). Optimal Design of the Seasonal Influenza Vaccine with Manufacturing Autonomy. INFORMS JOURNAL ON COMPUTING, 30(2), 371-387.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.2017.0786.

Pastukhov, G., Veremyev, A., Boginski, V., & Prokopyev, O.A. (2018). On maximum degree-based -quasi-clique problem: Complexity and exact approaches. NETWORKS, 71(2), 136-152.Wiley. doi: 10.1002/net.21791.

Shylo, O.V., & Prokopyev, O.A. (2018). Restart Strategies. In Handbook of Heuristics. 1-2, (pp. 205-220).Springer Nature. doi: 10.1007/978-3-319-07124-4_15.

Zare, M.H., Ozaltin, O.Y., & Prokopyev, O.A. (2018). On a class of bilevel linear mixed-integer programs in adversarial settings. JOURNAL OF GLOBAL OPTIMIZATION, 71(1), 91-113.Springer Nature. doi: 10.1007/s10898-017-0549-2.

Borrero, J.S., Gillen, C., & Prokopyev, O.A. (2017). Fractional 0-1 programming: applications and algorithms. JOURNAL OF GLOBAL OPTIMIZATION, 69(1), 255-282.Springer Nature. doi: 10.1007/s10898-016-0487-4.

Gillen, C.P., Matsypura, D., & Prokopyev, O.A. (2017). Operations Research Techniques in Wildfire Fuel Management. In Optimization Methods and Applications. 130, (pp. 119-135).Springer Nature. doi: 10.1007/978-3-319-68640-0_7.

Gillen, C.P., Veremyev, A., Prokopyev, O.A., & Pasiliao, E.L. (2017). Robustness of solutions to critical node detection problems with imperfect data: a computational study. OPTIMIZATION METHODS & SOFTWARE, 32(2), 250-273.Taylor & Francis. doi: 10.1080/10556788.2016.1214958.

He, K., Maillart, L.M., & Prokopyev, O.A. (2017). Optimal planning of unpunctual preventive maintenance. IISE TRANSACTIONS, 49(2), 127-143.Taylor & Francis. doi: 10.1080/0740817X.2016.1224959.

Stozhkov, V., Boginski, V., Prokopyev, O.A., & Pasiliao, E.L. (2017). A simple greedy heuristic for linear assignment interdiction. ANNALS OF OPERATIONS RESEARCH, 249(1-2), 39-53.Springer Nature. doi: 10.1007/s10479-016-2118-3.

Veremyev, A., Prokopyev, O.A., & Pasiliao, E.L. (2017). Finding groups with maximum betweenness centrality. OPTIMIZATION METHODS & SOFTWARE, 32(2), 369-399.Taylor & Francis. doi: 10.1080/10556788.2016.1167892.

Beheshti, B., Prokopyev, O.A., & Pasiliao, E.L. (2016). Exact solution approaches for bilevel assignment problems. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 64(1), 215-242.Springer Nature. doi: 10.1007/s10589-015-9799-4.

Borrero, J.S., Gillen, C., & Prokopyev, O.A. (2016). A simple technique to improve linearized reformulations of fractional (hyperbolic) 0-1 programming problems. OPERATIONS RESEARCH LETTERS, 44(4), 479-486.Elsevier. doi: 10.1016/j.orl.2016.03.015.

Borrero, J.S., Prokopyev, O.A., & Saure, D. (2016). Sequential Shortest Path Interdiction with Incomplete Information. DECISION ANALYSIS, 13(1), 68-98.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/deca.2015.0325.

Kahruman-Anderoglu, S., Buchanan, A., Butenko, S., & Prokopyev, O.A. (2016). On provably best construction heuristics for hard combinatorial optimization problems. NETWORKS, 67(3), 238-245.Wiley. doi: 10.1002/net.21620.

Karademir, S., Prokopyev, O.A., & Mailloux, R.J. (2016). Irregular polyomino tiling via integer programming with application in phased array antenna design. JOURNAL OF GLOBAL OPTIMIZATION, 65(2), 137-173.Springer Nature. doi: 10.1007/s10898-015-0354-8.

Nemati, S., Shylo, O.V., Prokopyev, O.A., & Schaefer, A.J. (2016). The Surgical Patient Routing Problem: A Central Planner Approach. INFORMS JOURNAL ON COMPUTING, 28(4), 657-673.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.2016.0706.

Veremyev, A., Prokopyev, O.A., Butenko, S., & Pasiliao, E.L. (2016). Exact MIP-based approaches for finding maximum quasi-cliques and dense subgraphs. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 64(1), 177-214.Springer Nature. doi: 10.1007/s10589-015-9804-y.

Beheshti, B., Ozaltin, O.Y., Zare, M.H., & Prokopyev, O.A. (2015). Exact solution approach for a class of nonlinear bilevel knapsack problems. JOURNAL OF GLOBAL OPTIMIZATION, 61(2), 291-310.Springer Nature. doi: 10.1007/s10898-014-0189-8.

Degirmenci, G., Kharoufeh, J.P., & Prokopyev, O.A. (2015). On Optimal Clustering in Mobile Wireless Sensor Networks Under Uncertainty. MILITARY OPERATIONS RESEARCH, 20(2), 19-33. doi: 10.5711/1082598320219.

He, K., Maillart, L.M., & Prokopyev, O.A. (2015). Scheduling Preventive Maintenance as a Function of an Imperfect Inspection Interval. IEEE TRANSACTIONS ON RELIABILITY, 64(3), 983-997.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TR.2015.2417153.

Karademir, S., & Prokopyev, O.A. (2015). On speed scaling via integer programming. OPERATIONS RESEARCH LETTERS, 43(5), 537-544.Elsevier. doi: 10.1016/j.orl.2015.08.002.

Trapp, A.C., & Prokopyev, O.A. (2015). A note on constraint aggregation and value functions for two-stage stochastic integer programs. DISCRETE OPTIMIZATION, 15, 37-45.Elsevier. doi: 10.1016/j.disopt.2014.11.003.

Veremyev, A., Prokopyev, O.A., & Pasiliao, E.L. (2015). Critical nodes for distance-based connectivity and related problems in graphs. NETWORKS, 66(3), 170-195.Wiley. doi: 10.1002/net.21622.

Degirmenci, G., Kharoufeh, J.P., & Prokopyev, O.A. (2014). Maximizing the Lifetime of Query-Based Wireless Sensor Networks. ACM TRANSACTIONS ON SENSOR NETWORKS, 10(4), 1-24.Association for Computing Machinery (ACM). doi: 10.1145/2523814.

Karademir, S., Kong, N., & Prokopyev, O.A. (2014). On greedy approximation algorithms for a class of two-stage stochastic assignment problems. OPTIMIZATION METHODS & SOFTWARE, 29(1), 42-67.Taylor & Francis. doi: 10.1080/10556788.2012.728216.

Khojandi, A., Maillart, L.M., & Prokopyev, O.A. (2014). Optimal planning of life-depleting maintenance activities. IIE TRANSACTIONS, 46(7), 636-652.Taylor & Francis. doi: 10.1080/0740817X.2013.849835.

Khojandi, A., Maillart, L.M., Prokopyev, O.A., Roberts, M.S., Brown, T., & Barrington, W.W. (2014). Optimal Implantable Cardioverter Defibrillator (ICD) Generator Replacement. INFORMS JOURNAL ON COMPUTING, 26(3), 599-615.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.2013.0586.

Veremyev, A., Prokopyev, O.A., & Pasiliao, E.L. (2014). An integer programming framework for critical elements detection in graphs. JOURNAL OF COMBINATORIAL OPTIMIZATION, 28(1), 233-273.Springer Nature. doi: 10.1007/s10878-014-9730-4.

Veremyev, A., Prokopyev, O.A., Boginski, V., & Pasiliao, E.L. (2014). Finding maximum subgraphs with relatively large vertex connectivity. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 239(2), 349-362.Elsevier. doi: 10.1016/j.ejor.2014.05.041.

Mostovyi, O., Prokopyev, O.A., & Shylo, O.V. (2013). On Maximum Speedup Ratio of Restart Algorithm Portfolios. INFORMS JOURNAL ON COMPUTING, 25(2), 222-229.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.1120.0497.

Pajouh, F.M., Balasundaram, B., & Prokopyev, O.A. (2013). On characterization of maximal independent sets via quadratic optimization. JOURNAL OF HEURISTICS, 19(4), 629-644.Springer Nature. doi: 10.1007/s10732-011-9171-5.

Shylo, O.V., Prokopyev, O.A., & Schaefer, A.J. (2013). Stochastic Operating Room Scheduling for High-Volume Specialties Under Block Booking. INFORMS JOURNAL ON COMPUTING, 25(4), 682-692.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.1120.0530.

Trapp, A.C., Prokopyev, O., & Schaefer, A.J. (2013). On a Level-Set Characterization of the Integer Programming Value Function and its Application to Stochastic Programming. Operations Research, 61(2), 498-511.

Trapp, A.C., Prokopyev, O.A., & Schaefer, A.J. (2013). On a Level-Set Characterization of the Value Function of an Integer Program and Its Application to Stochastic Programming. OPERATIONS RESEARCH, 61(2), 498-511.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/opre.1120.1156.

Ursulenko, O., Butenko, S., & Prokopyev, O.A. (2013). A global optimization algorithm for solving the minimum multiple ratio spanning tree problem. JOURNAL OF GLOBAL OPTIMIZATION, 56(3), 1029-1043.Springer Nature. doi: 10.1007/s10898-011-9832-9.

Oezaltin, O.Y., Prokopyev, O.A., & Schaefer, A.J. (2012). Two-stage quadratic integer programs with stochastic right-hand sides. MATHEMATICAL PROGRAMMING, 133(1-2), 121-158.Springer Nature. doi: 10.1007/s10107-010-0412-4.

Ozaltin, O.Y., Prokopyev, O., & Schaefer, A.J. (2012). Two-Stage Quadratic Integer Programs with Stochastic Right-Hand Sides. Mathematical Programming, 133(1), 121-158.

Baz, M., Hunsaker, B., & Prokopyev, O. (2011). How much do we "pay" for using default parameters?. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 48(1), 91-108.Springer Nature. doi: 10.1007/s10589-009-9238-5.

Karademir, S., & Prokopyev, O.A. (2011). A short note on solvability of systems of interval linear equations. LINEAR & MULTILINEAR ALGEBRA, 59(6), 707-710.Taylor & Francis. doi: 10.1080/03081087.2010.486403.

Oezaltin, O.Y., Prokopyev, O.A., Schaefer, A.J., & Roberts, M.S. (2011). Optimizing the Societal Benefits of the Annual Influenza Vaccine: A Stochastic Programming Approach. OPERATIONS RESEARCH, 59(5), 1131-1143.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/opre.1110.0988.

Rajgopal, J., Wang, Z., Schaefer, A.J., & Prokopyev, O.A. (2011). Integrated design and operation of remnant inventory supply chains under uncertainty. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 214(2), 358-364.Elsevier. doi: 10.1016/j.ejor.2011.04.039.

Shylo, O.V., Prokopyev, O.A., & Rajgopal, J. (2011). On algorithm portfolios and restart strategies. OPERATIONS RESEARCH LETTERS, 39(1), 49-52.Elsevier. doi: 10.1016/j.orl.2010.10.003.

Trapp, A.C., Zink, F., Prokopyev, O.A., & Schaefer, L. (2011). Thermoacoustic heat engine modeling and design optimization. APPLIED THERMAL ENGINEERING, 31(14-15), 2518-2528.Elsevier. doi: 10.1016/j.applthermaleng.2011.04.017.

Ozaltin, O.Y., Prokopyev, O.A., & Schaefer, A.J. (2010). The bilevel knapsack problem with stochastic right-hand sides. OPERATIONS RESEARCH LETTERS, 38(4), 328-333.Elsevier. doi: 10.1016/j.orl.2010.04.005.

Temiz, N.A., Trapp, A., Prokopyev, O.A., & Camacho, C.J. (2010). Optimization of minimum set of protein-DNA interactions: a quasi exact solution with minimum over-fitting. BIOINFORMATICS, 26(3), 319-325.Oxford University Press (OUP). doi: 10.1093/bioinformatics/btp664.

Trapp, A., Prokopyev, O.A., & Busygin, S. (2010). Finding checkerboard patterns via fractional 0-1 programming. JOURNAL OF COMBINATORIAL OPTIMIZATION, 20(1), 1-26.Springer Nature. doi: 10.1007/s10878-008-9186-5.

Trapp, A.C., & Prokopyev, O.A. (2010). Solving the Order-Preserving Submatrix Problem via Integer Programming. INFORMS JOURNAL ON COMPUTING, 22(3), 387-400.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.1090.0358.

Prokopyev, O. (2009). On equivalent reformulations for absolute value equations. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 44(3), 363-372.Springer Nature. doi: 10.1007/s10589-007-9158-1.

Prokopyev, O.A., Butenko, S., & Trapp, A. (2009). Checking solvability of systems of interval linear equations and inequalities via mixed integer programming. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 199(1), 117-121.Elsevier. doi: 10.1016/j.ejor.2008.11.008.

Prokopyev, O.A., Kong, N., & Martinez-Torres, D.L. (2009). The equitable dispersion problem. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 197(1), 59-67.Elsevier. doi: 10.1016/j.ejor.2008.06.005.

Rajgopal, J., Wang, Z., Schaefer, A., & Prokopyev, O. (2009). Effective management policies for remnant inventory supply chains. IIE TRANSACTIONS, 41(5), 437-447.Taylor & Francis. doi: 10.1080/07408170802516298.

Seref, O., Kundakcioglu, O.E., Prokopyev, O.A., & Pardalos, P.M. (2009). Selective support vector machines. JOURNAL OF COMBINATORIAL OPTIMIZATION, 17(1), 3-20.Springer Nature. doi: 10.1007/s10878-008-9189-2.

Velagapudi, P., Prokopyev, O., Scerri, P., & Sycara, K. (2009). A Token-Based Approach to Sharing Beliefs in a Large Multiagent Team. In Optimization and Cooperative Control Strategies. 381, (pp. 417-429).Springer Nature. doi: 10.1007/978-3-540-88063-9_24.

Busygin, S., Prokopyev, O., & Pardalos, P.M. (2008). Biclustering in data mining. COMPUTERS & OPERATIONS RESEARCH, 35(9), 2964-2987.Elsevier. doi: 10.1016/j.cor.2007.01.005.

Pardalos, P.M., Prokopyev, O.A., Shylo, O.V., & Shylo, V.P. (2008). Global equilibrium search applied to the unconstrained binary quadratic optimization problem. OPTIMIZATION METHODS & SOFTWARE, 23(1), 129-140.Taylor & Francis. doi: 10.1080/10556780701550083.

Shylo, O.V., Prokopyev, O.A., & Shylo, V.R. (2008). Solving weighted MAX-SAT via global equilibrium search. OPERATIONS RESEARCH LETTERS, 36(4), 434-438.Elsevier. doi: 10.1016/j.orl.2007.11.007.

Busygin, S., Prokopyev, O.A., & Pardalos, P.M. (2007). An optimization-based approach for data classification. OPTIMIZATION METHODS & SOFTWARE, 22(1), 3-9.Taylor & Francis. doi: 10.1080/10556780600881639.

Chaovalitwongse, W., Pardalos, P.M., Iasemidis, L.D., Suharitdamrong, W., Shiau, D.S., Dance, L.K., Prokopyev, O.A., Boginski, V.L., Carney, P.R., & Sackellares, J.C. (2007). Data Mining in EEG: Application to Epileptic Brain Disorders. In Data Mining in Biomedicine. 7, (pp. 459-481).Springer Nature. doi: 10.1007/978-0-387-69319-4_23.

Oliveira, C.A.S., Pardalos, P.M., Prokopyev, O.A., & Resende, M.G.C. (2007). Streaming cache placement problems: complexity and algorithms. International Journal of Computational Science and Engineering, 3(3), 173.Inderscience Publishers. doi: 10.1504/ijcse.2007.017823.

Prokopyev, O.A., Boginski, V.L., Chaovalitwongse, W., Pardalos, P.M., Sackellares, J.C., & Carney, P.R. (2007). Network-Based Techniques in EEG Data Analysis and Epileptic Brain Modeling. In Data Mining in Biomedicine. 7, (pp. 559-573).Springer Nature. doi: 10.1007/978-0-387-69319-4_28.

Chaovalitwongse, W.A., Prokopyev, O.A., & Pardalos, P.M. (2006). Electroencephalogram (EEG) time series classification: Applications in epilepsy. ANNALS OF OPERATIONS RESEARCH, 148(1), 227-250.Springer Nature. doi: 10.1007/s10479-006-0076-x.

Huang, H.X., Pardalos, P.M., & Prokopyev, O.A. (2006). Lower bound improvement and forcing rule for quadratic binary programming. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 33(2-3), 187-208.Springer Nature. doi: 10.1007/s10589-005-3062-3.

Min, M.K., Prokopyev, O., & Pardalos, P.N. (2006). Optimal solutions to minimum total energy broadcasting problem in wireless ad hoc networks. JOURNAL OF COMBINATORIAL OPTIMIZATION, 11(1), 59-69.Springer Nature. doi: 10.1007/s10878-006-5977-8.

Pardalos, P.M., Prokopyev, O.A., & Busygin, S. (2006). Continuous Approaches for Solving Discrete Optimization Problems. In Handbook on Modelling for Discrete Optimization. 88, (pp. 39-60).Springer Nature. doi: 10.1007/0-387-32942-0_2.

Busygin, S., Prokopyev, O.A., & Pardalos, P.M. (2005). Feature selection for consistent biclustering via fractional 0-1 programming. JOURNAL OF COMBINATORIAL OPTIMIZATION, 10(1), 7-21.Springer Nature. doi: 10.1007/s10878-005-1856-y.

Fung, H.K., Rao, S., Floudas, C.A., Prokopyev, O., Pardalos, P.M., & Rendl, F. (2005). Computational comparison studies of quadratic assignment like formulations for the in silico sequence selection problem in de novo protein design. JOURNAL OF COMBINATORIAL OPTIMIZATION, 10(1), 41-60.Springer Nature. doi: 10.1007/s10878-005-1859-8.

Pardalos, P.M., Boginski, V.L., Prokopyev, O.A., Suharitdamrong, W., Carney, P.R., Chaovalitwongse, W., & Vazacopoulos, A. (2005). Optimization Techniques in Medicine. In Essays and Surveys in Global Optimization. (pp. 211-232).Springer Nature. doi: 10.1007/0-387-25570-2_8.

Prokopyev, O.A., Huang, H.X., & Pardalos, P.A. (2005). On complexity of unconstrained hyperbolic 0-1 programming problems. OPERATIONS RESEARCH LETTERS, 33(3), 312-318.Elsevier. doi: 10.1016/j.orl.2004.05.011.

Chaovalitwongse, W., Pardalos, P.M., & Prokopyev, O.A. (2004). A new linearization technique for multi-quadratic 0-1 programming problems. OPERATIONS RESEARCH LETTERS, 32(6), 517-522.Elsevier. doi: 10.1016/j.orl.2004.03.005.

Pardalos, P.M., Chaovalitwongse, W., Iasemidis, L.D., Sackellares, J.C., Shiau, D.S., Carney, P.R., Prokopyev, O.A., & Yatsenko, V.A. (2004). Seizure warning algorithm based on optimization and nonlinear dynamics. MATHEMATICAL PROGRAMMING, 101(2), 365-385.Springer Nature. doi: 10.1007/s10107-004-0529-4.

Prokopyev, O.A., & Pardalos, P.M. (2004). Minimum ε-equivalent circuit size problem. JOURNAL OF COMBINATORIAL OPTIMIZATION, 8(4), 495-502.Springer Nature. doi: 10.1007/s10878-004-4839-5.

Prokopyev, O.A., & Pardalos, P.M. (2004). On approximability of Boolean formula minimization. JOURNAL OF COMBINATORIAL OPTIMIZATION, 8(2), 129-135.Springer Nature. doi: 10.1023/B:JOCO.0000031414.39556.3a.

Zhong, H., Mahdavi Pajouh, F., Butenko, S., & Prokopyev, O.A. On Interdicting Dense Clusters in a Network. INFORMS Journal on Computing.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.2023.0027.

Shi, X., Prokopyev, O.A., & Zeng, B. (2020). Sequence Independent Lifting for the Set of Submodular Maximization Problem. In Lecture Notes in Computer Science, 12125, (pp. 378-390).Springer Nature. doi: 10.1007/978-3-030-45771-6_29.

Shylo, O.V., Luangkesorn, L., Prokopyev, O.A., Rajgopal, J., & Schaefer, A. (2011). Managing Patient Backlog in a Surgical Suite that Uses a Block-Booking Scheduling System. In Proceedings of the 2011 Winter Simulation Conference (WSC), (pp. 1314-1324).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/wsc.2011.6147852.

Velagapudi, P., Prokopyev, O., Scerri, P., & Sycara, K. (2009). Analyzing the performance of randomized information sharing. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 1, (pp. 586-593).

Velagapudi, P., Prokopyev, O., Sycara, K., & Scerri, P. (2007). Maintaining Shared Belief in a Large Multiagent Team. In 2007 10th International Conference on Information Fusion, (pp. 1-8).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icif.2007.4408051.