Panos M. Pardalos
- Academic Supervisor:HSE Campus in Nizhny Novgorod / Laboratory of Algorithms and Technologies for Networks Analysis (Nizhny Novgorod)
- Panos M. Pardalos has been at HSE University since 2011.
Education and Degrees
- 2011
PhD
University of Minnesota - 1985
Doctoral programme in Computer and Information Sciences
University of Minnesota - 1983
Master's
University of Minnesota - 1978
Master's in Mathematics and Computer Science
Clarkson University - 1977
Bachelor's in Mathematics
Athens University
Editorial board membership
2010: Editor-in-chief, Energy Systems.
2010: Member of the Editorial Council, Кибернетика и системный анализ (Cybernetics and Systems Analysis).
2004: Member of the Editorial Board, Computational Management Science.
2004: Member of the Editorial Board, Journal of Combinatorial Optimization.
2000: Member of the Editorial Board, Optimization and Engineering.
2000: Member of the Editorial Board, Optimization Methods and Software.
2005–2015: Member of the Editorial Board, Informatica.
2007–2013: Editor-in-chief, Optimization Letters.
1994–2013: Guest Editor, Journal of Global Optimization.
Publications184
- Article Sadeghi Z., Alizadehsani R., Cifci M. A., Kausar S., Rehman R., Mahanta P., Bora P. K., Almasri A., Alkhawaldeh R. S., Hussain S., Alatas B., Shoeibi A., Moosaei H., Hladík M., Nahavandi S., Pardalos P. M. A review of Explainable Artificial Intelligence in healthcare // Computers and Electrical Engineering. 2024. Vol. 118. No. A. Article 109370. doi
- Article Semenov D., Koldanov A. P., Koldanov P., Pardalos P. M. Clique detection with a given reliability // Annals of Mathematics and Artificial Intelligence. 2024 doi
- Book Computational Management Science. Network Analysis and Applications / Сост.: P. M. Pardalos, V. A. Kalyagin, M. R. Guarracino. Springer, 2024.
- Article Qian X., Guan X., Jia J., Pardalos P. M. Inverse Vertex/Absolute Quickest 1-Center Location Problem on a Tree Under Weighted l1 Norm // Journal of Optimization Theory and Applications. 2024. Vol. 200. P. 524-554. doi
- Article Gribanov D., Shumilov I., Dmitry Malyshev, Panos Pardalos. On Delta-modular integer linear problems in the canonical form and equivalent problems // Journal of Global Optimization. 2024. Vol. 88. P. 591-651. doi
- Article Moosaei H., Bazikar F., Hladík M., Pardalos P. M. Sparse least-squares Universum twin bounded support vector machine with adaptive Lp-norms and feature selection // Expert Systems with Applications. 2024. Vol. 248. Article 123378. doi
- Article Du J., Wen Y., Wang L., Zhang P., Fei M., Pardalos P. M. An adaptive human learning optimization with enhanced exploration–exploitation balance // Annals of Mathematics and Artificial Intelligence. 2023. Vol. 97. P. 117-216. doi
- Article Zhou Y., Pei J., Yan P., Wu Y., Pardalos P. M. Collaborative Planning in a Two-Stage Supply Chain: Transparent Coordination, Distributed Response, Integrated Optimization // IEEE Transactions on Engineering Management. 2023 doi (in press)
- Article Schieber T. A., Carpi L. C., Pardalos P. M., Masoller C., Díaz-Guilera A., Ravetti M. G. Diffusion capacity of single and interconnected networks // Nature Communications. 2023. Vol. 14. No. 1. Article 2217. doi
- Book Handbook for Management of Threats: Security and defense, resilience and optimal strategies / Ed. by K. Balomenos, A. Fytopoulos, P. M. Pardalos. Book 205. Springer, 2023. doi
- Book Mathematical Optimization Theory and Operations Research: Recent Trends. 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Revised Selected Papers, vol 1881 / Ed. by M. Y. Khachay, Y. Kochetov, A. Eremeev, O. Khamisov, V. Mazalov, P. M. Pardalos. Springer, 2023. doi
- Article Zhang Q., Guan X., Jia J., Qian X., Pardalos P. M. The restricted inverse optimal value problem on shortest path under l_1 norm on trees // Journal of Global Optimization. 2023. Vol. 86. P. 251-284. doi
- Article Qian X., Guan X., Jia J., Zhang Q., Pardalos P. M. Vertex quickest 1-center location problem on trees and its inverse problem under weighted l∞ norm // Journal of Global Optimization. 2023. Vol. 85. P. 461-485. doi
- Article Pei J., Zhou Y., Yan P., Pardalos P. M. A concise guide to scheduling with learning and deteriorating effects // International Journal of Production Research. 2022 doi (in press)
- Article Zhang P., Du J., Wang L., Fei M., Yang T., Pardalos P. M. A human learning optimization algorithm with reasoning learning // Applied Soft Computing Journal. 2022. Vol. 122. Article 108816. doi
- Article Raayatpanah M. A., Khodayifar S., Weise T., Pardalos P. M. A novel approach to subgraph selection with multiple weights on arcs // Journal of Combinatorial Optimization. 2022. Vol. 44. No. 1. P. 242-268. doi
- Article Semenov D., Koldanov A. P., Koldanov P., Pardalos P. M. A robustness comparison of two market network models // IMA Journal Management Mathematics. 2022. Vol. 33. No. 1. P. 123-137. doi
- Article Jia J., Guan X., Zhang Q., Qian X., Pardalos P. M. Inverse max+sum spanning tree problem under weighted l∞ norm by modifying max-weight vector // Journal of Global Optimization. 2022. Vol. 84. P. 715-738. doi
- Article Adosoglou G., Park S., Lombardo G., Cagnoni S., Pardalos P. M. Lazy Network: A Word Embedding-Based Temporal Financial Network to Avoid Economic Shocks in Asset Pricing Models // Complexity. 2022. Vol. 2022. Article 9430919. doi
- Article Mladenoviс N., Pei J., Pardalos P. M., Urosevic D. Less is more approach in optimization: a road to artificial intelligence // Optimization Letters. 2022. Vol. 16. No. 1. P. 409-420. doi
- Book Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers / Ed. by W. M. van der Aalst, V. Batagelj, D. I. Ignatov, M. Khachay, O. Koltsova, A. Kutuzov, Sergei O. Kuznetsov, I. A. Lomazova, N. Loukachevitch, A. Napoli, A. Panchenko, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 12602. Cham: Springer, 2021. doi
- Book Dynamics of Disasters. Impact, Risk, Resilience, and Solutions / Сост.: P. M. Pardalos, A. Nagurney, I. S. Kotsireas, A. Tsokas. Issue 1. Springer, 2021. doi
- Article Zhou Z., Yin Y., Zhou M., Cheng H., Pardalos P. M. Equity-based incentive to coordinate shareholder-manager interests under information asymmetry // Journal of Industrial and Management Optimization. 2021. P. 1-24. doi
- Book Mathematical Optimization Theory and Operations Research: 20th International Conference, MOTOR 2021, Irkutsk, Russia, July 5–10, 2021, Proceedings / Ed. by P. M. Pardalos, M. Y. Khachay, A. Kazakov. Cham : Springer, 2021. doi
- Article Zhang Q., Guan X., Wang H., Pardalos P. M. Maximum shortest path interdiction problem by upgrading edges on trees under hamming distance // Optimization Letters. 2021. Vol. 15. P. 2661-2680. doi
- Article Zhang Q., Guan X., Pardalos P. M. Maximum shortest path interdiction problem by upgrading edges on trees under weighted l1 norm // Journal of Global Optimization. 2021. Vol. 79. P. 959-987. doi
- Book Recent Trends in Analysis of Images, Social Networks and Texts. 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020 Revised Supplementary Proceedings / Ed. by W. M. van der Aalst, V. Batagelj, A. V. Buzmakov, D. I. Ignatov, A. A. Kalenkova, M. Khachay, O. Koltsova, A. Kutuzov, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch, I. Makarov, A. Napoli, A. Panchenko, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 12602. Springer, 2021. doi
- Article Malyshev D., Razvenskaya O., Pardalos P. M. The computational complexity of weighted vertex coloring for {P_5,K_{2,3},K_{2,3}^+}-free graphs // Optimization Letters. 2021. Vol. 15. No. 1. P. 137-152. doi
- Article Zhang B., Guan X., Pardalos P. M., Wang H., Zhang Q., Liu Y., Chen S. The lower bounded inverse optimal value problem on minimum spanning tree under unit l∞ norm // Journal of Global Optimization. 2021. Vol. 79. P. 757-777. doi
- Article Mikhail V. Batsyn, Ekaterina K. Batsyna, Ilya S. Bychkov, Panos M. Pardalos. Vehicle assignment in site-dependent vehicle routing problems with split deliveries // Operational Research. 2021. Vol. 21. P. 399-423. doi
- Article Miasnikof P., Shestopaloff A. Y., Bonner A. J., Lawryshyn Y., Pardalos P. M. A density-based statistical analysis of graph clustering algorithm performance // Journal of Complex Networks. 2020. Vol. 8. No. 3. P. 1-33. doi
- Book AIST: International Conference on Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / Ed. by W. van der Aalst, V. Batagelj, D. I. Ignatov, М. Ю. Хачай, V. Kuskova, A. Kutuzov, S. Kuznetsov, I. A. Lomazova, N. V. Loukachevitch, A. Napoli, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 1086. Cham: Springer, 2020. doi
- Article Granata I., Guarracino M. R., Kalyagin V. A., Maddalena L., Manipur I., Pardalos P. M. Model simplification for supervised classification of metabolic networks // Annals of Mathematics and Artificial Intelligence. 2020. Vol. 88. P. 91-104. doi
- Book Network Algorithms, Data Mining, and Applications. Springer Proceedings in Mathematics & Statistics / Ed. by I. S. Bychkov, V. A. Kalyagin, P. M. Pardalos, O. Prokopyev. Vol. 315. Springer, 2020. doi
- Book Springer Proceedings in Mathematics & Statistics / Ed. by I. S. Bychkov, V. A. Kalyagin, P. M. Pardalos, O. Prokopyev. Vol. 315: Network Algorithms, Data Mining, and Applications. NET 2018. Cham: Springer, 2020. doi
- Book Kalyagin V. A., Koldanov A. P., Koldanov P., Pardalos P. M. Statistical Analysis of Graph Structures in Random Variable Networks. Springer, 2020. doi
- Book Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Lecture Notes in Computer Science, Revised Selected Papers / Ed. by W. M. van der Aalst, V. Batagelj, D. I. Ignatov, M. Y. Khachay, V. Kuskova, A. Kutuzov, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch, A. Napoli, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 11832. Cham : Springer, 2019. doi
- Article Kalyagin V. A., Koldanov A. P., Koldanov P., Pardalos P. M. Loss function, unbiasedness, and optimality of Gaussian graphical model selection // Journal of Statistical Planning and Inference. 2019. Vol. 201. P. 32-39. doi
- Article Anton Kocheturov, Pardalos P. M., Karakitsiou A. Massive datasets and machine learning for computational biomedicine: trends and challenges // Annals of Operations Research. 2019. Vol. 276. No. 1-2. P. 5-34. doi
- Book Mathematical Optimization Theory and Operations Research, 18th International Conference, MOTOR 2019 Ekaterinburg, Russia, July 8–12, 2019 / Ed. by М. Ю. Хачай, Ю. А. Кочетов, P. M. Pardalos. Vol. 11548. Springer, 2019.
- Book Mathematical Optimization Theory and Operations Research. 18th International Conference, MOTOR 2019 (LNCS) / Ed. by M. Khachay, Y. Kochetov, P. M. Pardalos. Vol. 11548. Springer, 2019. doi
- Article Chirkov A. Y., Gribanov D., Malyshev D., Pardalos P. M., Veselov S. I., Zolotykh N. On the complexity of quasiconvex integer minimization problem // Journal of Global Optimization. 2019. Vol. 73. No. 4. P. 761-788. doi
- Article Kalyagin V. A., Koldanov A. P., Koldanov P., Pardalos P. M. Optimality of Multiple Decision Statistical Procedure for Gaussian Graphical Model Selection // Lecture Notes in Computer Science. 2019. No. 11353. P. 304-308. doi
- Article Pardalos P. M., Souravlias D., Kotsireas I. S., Parsopoulos K. E. Parallel algorithm portfolios with performance forecasting // Optimization Methods and Software. 2019. Vol. 34. No. 6. P. 1231-1250. doi
- Article Zhang B., Guan X., Pardalos P. M., He C. An Algorithm for Solving the Shortest Path Improvement Problem on Rooted Trees Under Unit Hamming Distance // Journal of Optimization Theory and Applications. 2018. P. 1-22. doi (in press)
- Book Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev, Irina Utkina. Computational Aspects and Applications in Large-Scale Networks. Springer Proceedings in Mathematics & Statistics Vol. 247. Springer, 2018. doi
- Book Dynamics of Disasters / Ed. by P. M. Pardalos, I. S. Kotsireas, A. Nagurney. Springer International Publishing, 2018. doi
- Article D. V. Gribanov, D.S. Malyshev, P. M. Pardalos, Veselov S. I. FPT-algorithms for some problems related to integer programming // Journal of Combinatorial Optimization. 2018. Vol. 35. No. 4. P. 1128-1146. doi
- Chapter Kocheturov A. A., Pardalos P. M. Frequent Temporal Pattern Mining with Extended Lists, in: Trends in Biomathematics: Modeling, Optimization and Computational Problems. Springer, 2018. doi Ch. 16. P. 233-244. doi
- Article Kalyagin V. A., Koldanov A. P., Koldanov P., Pardalos P. M. Optimal decision for the market graph identification problem in a sign similarity network // Annals of Operations Research. 2018. Vol. 266. No. 1-2. P. 313-327. doi
- Book Optimization Problems and Their Applications. 7th International Conference, OPTA 2018, Omsk, Russia, July 8-14, 2018, Revised Selected Papers / Ed. by A. Eremeev, M. Khachay, Y. Kochetov, Pardalos P.. Springer, 2018. doi
- Book Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science / Ed. by W. M. van der Aalst, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay, O. Koltsova, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Vol. 11179. Berlin : Springer, 2018. doi
- Chapter Granata I., Guarracino M. R., Kalyagin V. A., Maddalena L., Manipur I., Pardalos P. M. Supervised Classification of Metabolic Networks, in: Proceedings 2018 IEEE International Conference on Bioinformatics and Biomedicine. Madrid : IEEE, 2018. P. 2688-2693. doi
- Book Supplementary Proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2018), Moscow, Russia, July 5-7, 2018 / Ed. by W. van der Aalst,, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay,, O. Koltsova,, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Aachen : CEUR Workshop Proceedings, 2018.
- Article Khodayifar S., Raayatpanah M., Pardalos P. M. A polynomial time algorithm for the minimum flow problem in time-varying networks // Annals of Operations Research. 2017. P. 1-11. doi (in press)
- Article Pablo San Segundo ., Jorge Artieda .., Mikhail Batsyn, Panos M. Pardalos. An enhanced bitstring encoding for exact maximum clique search in sparse graphs // Optimization Methods and Software. 2017. Vol. 32. No. 2. P. 312-335. doi
- Chapter Ilya Bychkov, Mikhail Batsyn, Panos M. Pardalos. Heuristic for Maximizing Grouping Efficiency in the Cell Formation Problem, in: Models, Algorithms, and Technologies for Network Analysis. Springer Proceedings in Mathematics & Statistics / Ed. by V. A. Kalyagin, A. I. Nikolaev, P. M. Pardalos, O. Prokopyev. Vol. 197. Springer, 2017. doi P. 11-26. doi
- Article Guan X., He X., Pardalos P. M., Zhang B. Inverse max + sum spanning tree problem under Hamming distance by modifying the sum-cost vector // Journal of Global Optimization. 2017. P. 1-12. doi
- Article Yılmaz Ö. F., Pardalos P. M. Minimizing average lead time for the coordinated scheduling problem in a two-stage supply chain with multiple customers and multiple manufacturers // Computers & Industrial Engineering. 2017. Vol. 114. P. 244-257. doi
- Book Models, Algorithms, and Technologies for Network Analysis. Springer Proceedings in Mathematics & Statistics / Ed. by V. A. Kalyagin, A. I. Nikolaev, P. M. Pardalos, O. Prokopyev. Vol. 197. Springer, 2017. doi
- Book Pardalos P. M., Žilinskas A., Žilinskas J. Non-Convex Multi-Objective Optimization. Springer, 2017.
- Article Tong G., Wu W., Pardalos P. M., Du D. On positive-influence target-domination // Optimization Letters. 2017. Vol. 11. No. 2. P. 419-427. doi
- Chapter Pardalos P. M. On the Passage from Local to Global Optimization: New Challenges in Theory and Practice, in: Тезисы докладов международной конференции « Конструктивный негладкий анализ и смежные вопросы», посвященной памяти профессора В.Ф. Демьянова Part 2. St. Petersburg : ВВМ, 2017. P. 38-39.
- Book Optimization Methods and Applications, In Honor of Ivan V. Sergienko's 80th Birthday, Springer Optimization and Its Applications / Сост.: S. Butenko, P. M. Pardalos, V. Shylo. Vol. 130. Springer, 2017. doi
- Article Pardalos P. M., Kalyagin V. A. Preface // Optimization Methods and Software. 2017. Vol. 32. No. 2. P. 221-221. doi
- Article Pardalos P. M., Kalyagin V. A. Preface to the special issue on “Clustering and search techniques in large scale networks” // Optimization Letters. 2017. Vol. 11. No. 2. P. 247-247. doi
- Article Cinar D., Gakis K., Pardalos P. M. Reduction of CO2 Emissions in Cumulative Multi-Trip Vehicle Routing Problems with Limited Duration // Environmental Modeling and Assessment. 2017. Vol. 20. No. 4. P. 273-284. doi
- Book Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2017), Moscow, Russia, July 27-29, 2017 / Ed. by W. van der Aalst, M. Y. Khachay, S. Kuznetsov, V. Lempitsky, I. A. Lomazova, N. Loukachevitch, A. Napoli, A. Panchenko, P. M. Pardalos, A. V. Savchencko, S. Wasserman, D. I. Ignatov. Vol. 1975. Aachen : CEUR-WS.org, 2017.
- Article Turkensteen M., Malyshev D., Goldengorin B. I., Pardalos P. M. The reduction of computation times of upper and lower tolerances for selected combinatorial optimization problems // Journal of Global Optimization. 2017. Vol. 68. No. 3. P. 601-622. doi
- Article Koldanov P., Koldanov A. P., Kalyagin V. A., Pardalos P. M. Uniformly most powerful unbiased test for conditional independence in Gaussian graphical model // Statistics and Probability Letters. 2017. Vol. 122. P. 90-95. doi
- Chapter Колданов П. А., Колданов А. П., Калягин В. А., Пардалос П. О. Оптимальный тест проверки гипотезы об условной независимости в многомерном нормальном распределении //Optimal test of conditional independence in multivariate normal distribution // В кн.: Аналитические и вычислительные методы в теории вероятностей и её приложениях (АВМТВ-2017) = Analytical and Computational Methods in Probability Theory and its Applications (ACMPT-2017) : Proceedings, 23-27 October 2017. M. : RUDN, 2017. С. 500-505.
- Article Калягин В. А., Колданов А. П., Колданов П. А., Пардалос П. О. Статистические процедуры идентификации сетевых структур фондовых рынков // Журнал Новой экономической ассоциации. 2017. Т. 3. № 35. С. 33-52.
- Article Braslavski P., Markov I., Pardalos P. M., Volkovich Y., Koltsov S., Koltsova O., Ignatov D. I. 9th Russian Summer School in Information Retrieval (RuSSIR 2015) // ACM SIGIR Forum. 2016. Vol. 49. No. 2. P. 72-79. doi
- Article Cinar D., Oliveira J. A., Topcu Y. I., Pardalos P. M. A Priority-based genetic algorithm for a flexible job shop scheduling problem // Journal of Industrial and Management Optimization. 2016. Vol. 12. No. 4. P. 1391-1415. doi
- Chapter Schieber T., Ravetti M., Pardalos P. M. A Review on Network Robustness from an Information Theory Perspective, in: Discrete Optimization and Operations Research/9th International Conference, DOOR 2016, Vladivostok, Russia, September 19-23, 2016, Proceedings / Ed. by Y. Kochetov, Khachay, M., V. Beresnev, E. Nurminski, P. M. Pardalos. Springer, 2016. doi P. 50-60. doi
- Article Larisa Komosko, Mikhail Batsyn, Pablo San Segundo ., Panos M. Pardalos. A fast greedy sequential heuristic for the vertex colouring problem based on bitwise operations // Journal of Combinatorial Optimization. 2016. No. 4. P. 1665-1677. doi
- Article Malyshev D., Pardalos P. M. Critical hereditary graph classes: a survey // Optimization Letters. 2016. Vol. 10. No. 8. P. 1593-1612. doi
- Chapter Kocheturov A. A., Pardalos P. M. Data Science for Massive Networks, in: Information Retrieval. 9th Russian Summer School, RuSSIR 2015, Saint Petersburg, Russia, August 24-28, 2015, Revised Selected Papers / Ed. by P. Braslavski, P. Markov, Y. Volkovich, D. I. Ignatov, S. Koltsov, O. Koltsova, P. M. Pardalos. Vol. 573. Switzerland : Springer, 2016. doi P. 88-100. doi
- Book Discrete Optimization and Operations Research/9th International Conference, DOOR 2016, Vladivostok, Russia, September 19-23, 2016, Proceedings / Ed. by Y. Kochetov, Khachay, M., V. Beresnev, E. Nurminski, P. M. Pardalos. Springer, 2016. doi (in press)
- Article San Segundo P., Nikolaev A., Batsyn M., Pardalos P.M. Improved Infra-Chromatic Bound for Exact Maximum Clique Search // Informatica. 2016. Vol. 27. No. 2. P. 463-487. doi
- Article San Segundo P., Lopez A., Mikhail Batsyn, Alexey Nikolaev, Pardalos P. M. Improved initial vertex ordering for exact maximum clique search // Applied Intelligence. 2016. Vol. 45. No. 3. P. 868-880. doi
- Book Information Retrieval. 9th Russian Summer School, RuSSIR 2015, Saint Petersburg, Russia, August 24-28, 2015, Revised Selected Papers / Ed. by P. Braslavski, P. Markov, Y. Volkovich, D. I. Ignatov, S. Koltsov, O. Koltsova, P. M. Pardalos. Vol. 573. Switzerland : Springer, 2016. doi
- Book Models, Algorithms and Technologies for Network Analysis, Springer Proceedings in Mathematics & Statistics / Ed. by V. A. Kalyagin, Petr A. Koldanov, P. M. Pardalos. Vol. 156. Switzerland : Springer, 2016. doi
- Article Li J., Li Y., Pardalos P. M. Multi-depot vehicle routing problem with time windows under shared depot resources // Journal of Combinatorial Optimization. 2016. Vol. 31. No. 2. P. 515-532. doi
- Article Fang C., Liu X., Pardalos P. M., Pei J. Optimization for a three-stage production system in the Internet of Things: procurement, production and product recovery, and acquisition // Journal of Manufacturing Technology Management. 2016. Vol. 83. No. 5-8. P. 689-710.
- Article Wang L., Yang R., Ni H., Ye W., Fei M., Pardalos P. M. A human learning optimization algorithm and its application to multi-dimensional knapsack problems // Applied Soft Computing Journal. 2015. Vol. 34. P. 736-743.
- Article Wang X., Pardalos P. M. A modified active set algorithm for transportation discrete network design bi-level problem // Journal of Global Optimization. 2015. P. 1-18. doi
- Article Goldengorin B., Malyshev D., Pardalos P. M., Zamaraev V. A. A tolerance-based heuristic approach for the weighted independent set problem // Journal of Combinatorial Optimization. 2015. Vol. 29. No. 2. P. 433-450. doi
- Article Pei J., Pardalos P. M., Liu X., Fan W., Yang S. Coordination of production and transportation in supply chain scheduling // Journal of Industrial and Management Optimization. 2015. Vol. 11. No. 2. P. 399-419. doi
- Book Future City Architecture for Optimal Living / Ed. by S. T. Rassia, P. M. Pardalos. Springer, 2015.
- Article Shangin R. E., Pardalos P. M., Panyukov A. V. Heuristics for the Design of Reliable Networks with k-Tree Topology // International Journal of Artificial Intelligence. 2015. Vol. 13. No. 1. P. 165-183.
- Article Wang L., Ni H., Yang R., Pardalos P. M., Jia L., Fei M. Intelligent virtual reference feedback tuning and its application to heat treatment electric furnace control // Engineering Applications of Artificial Intelligence. 2015. Vol. 46. No. A. P. 1-9.
- Article Li J., Pardalos P. M., Sun H., Pei J., Zhang Y. Iterated local search embedded adaptive neighborhood selection approach for the multi-depot vehicle routing problem with simultaneous deliveries and pickups // Expert Systems with Applications. 2015. Vol. 42. No. 7. P. 3551-3561.
- Book Machine Learning, Optimization, and Big Data. First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015. Lecture Notes in Computer Science / Ed. by P. M. Pardalos, M. Pavone, G. Farinella, V. Cutello. Vol. 9432. Springer, 2015. doi
- Article Žilinskas J., Goldengorin B. I., Pardalos P. M. Pareto-optimal front of cell formation problem in group technology // Journal of Global Optimization. 2015. Vol. 61. No. 1. P. 91-108. doi
- Article Wang X., Fan N., Pardalos P. M. Robust chance-constrained support vector machines with second-order moment information // Annals of Operations Research. 2015. P. 1-24.
- Article Pei J., Pardalos P. M., Liu X., Fan W., Yang S. Serial batching scheduling of deteriorating jobs in a two-stage supply chain to minimize the makespan // European Journal of Operational Research. 2015. Vol. 224. No. 1. P. 13-25.
- Article Pei J., Liu X., Pardalos P. M., Fan W., Yang S. Single machine serial-batching scheduling with independent setup time and deteriorating job processing times // Optimization Letters. 2015. Vol. 9. No. 1. P. 91-104. doi
- Article Pei J., Liu X., Pardalos P. M., Fan W., Wang L., Yang S. Solving a supply chain scheduling problem with non-identical job sizes and release times by applying a novel effective heuristic algorithm // International Journal of Systems Science. 2015. Vol. 47. No. 4. P. 765-776.
- Article Chistyakov V., Pardalos P. M. Stability Analysis in Discrete Optimization Involving Generalized Addition Operations // Journal of Optimization Theory and Applications. 2015. Vol. 167. No. 2. P. 585-616. doi
- Article Koldanov A. P., Kalyagin V. A., Pardalos P. M. Step Down and Step Up Statistical Procedures for Stock Selection with Sharp Ratio // Lecture Notes in Computer Science. 2015. Vol. 9432. P. 26-36.
- Article Malyshev D., Pardalos P. M. The clique problem for graphs with a few eigenvalues of the same sign // Optimization Letters. 2015. Vol. 9. No. 5. P. 839-843. doi
- Article Кочетуров А. А., Бацын М. В., Пардалос П. О. Динамика кластерных структур в сетях фондовых рынков // Журнал Новой экономической ассоциации. 2015. Т. 4. № 28. С. 12-30.
- Chapter Kalyagin V. A., Koldanov A. P., Pardalos P. M. A General Approach to Network Analysis of Statistical Data Sets, in: Learning and Intelligent Optimization. / Ed. by P. M. Pardalos, M. Resende, C. Vogiatzis, J. Walteros. Vol. 8426: Lectute Notes in Computer Science. Switzerland : Springer, 2014. P. 88-97.
- Chapter Goldengorin B. I., Kocheturov A. A., Pardalos P. M. A Pseudo-Boolean Approach to the Market Graph Analysis by Means of the P-Median Model, in: Clusters, orders, trees: methods and applications. In Honor of Boris Mirkin's 70th Birthday / Ed. by F. T. Aleskerov, B. I. Goldengorin, P. M. Pardalos. Vol. 92. Berlin : Springer, 2014. P. 77-89.
- Article Wang X., Pardalos P. M. A Survey of Support Vector Machines with Uncertainties // Annals of Data Science. 2014. Vol. 1. No. 3-4. P. 293-309.
- Article Syed M., Georgiev P. G., Pardalos P. M. A hierarchical approach for sparse sourse blind signal separation problem // Computers & Operations Research. 2014. Vol. 41. P. 386-398.
- Article Raayatpanah M., Salehi Fathabadi H., Khalaj B., Khodayifar S., Pardalos P. M. Bounds on end-to-end statistical delay and jitter in multiple multicast coded packet networks // Journal of Network and Computer Applications. 2014. No. 41. P. 217-227. doi
- Book Clusters, orders, trees: methods and applications. In Honor of Boris Mirkin's 70th Birthday / Ed. by F. T. Aleskerov, B. I. Goldengorin, P. M. Pardalos. Vol. 92. Berlin : Springer, 2014.
- Book Constructive Nonsmooth Analysis and Related Topics / Ed. by .. Vladimir Demyanov, Panos M. Pardalos, Mikhail Batsyn. Vol. 87. NY : Springer, 2014.
- Article Anton Kocheturov, Mikhail Batsyn, Panos M. Pardalos. Dynamics of cluster structures in a financial market network // Physica A: Statistical Mechanics and its Applications. 2014. Vol. 413. P. 523-533. doi
- Article Malyshev D., Pardalos P. M. Efficient Computation of Tolerances in the Weighted Independent Set Problem for Some Classes of Graphs / Пер. с рус. // Doklady Mathematics. 2014. Vol. 89. No. 2. P. 253-256.
- Article Ilya Bychkov, Mikhail Batsyn, Panos M. Pardalos. Exact Model for the Cell Formation Problem // Optimization Letters. 2014. Vol. 8. No. 8. P. 2203-2210. doi
- Article Zarepishehab M., Khorrama E., Pardalos P. M. Generating properly efficient point sin multi-objective programs by thenonlinear weighted sum scalarization method // Optimization: A Journal of Mathematical Programming and Operations Research. 2014. Vol. 63. No. 3. P. 473-486.
- Chapter Shangin R. E., Pardalos P. M. Heuristics for Minimum Spanning K-tree Problem, in: Procedia Computer Science. 2nd International Conference on Information Technology and Quantitative Management, ITQM 2014. National Research University Higher School of Economics (HSE) in Moscow (Russia) on June 3-5, 2014 / Ed. by Y. Shi, A. Lepskiy, F. T. Aleskerov. Vol. 31. Amsterdam : Elsevier, 2014. P. 1074-1083.
- Article Mikhail Batsyn, Boris Goldengorin, Evgeny Maslov, Panos M. Pardalos. Improvements to MCS algorithm for the maximum clique problem // Journal of Combinatorial Optimization. 2014. Vol. 27. No. 2. P. 397-416. doi
- Book Learning and Intelligent Optimization. / Ed. by P. M. Pardalos, M. Resende, C. Vogiatzis, J. Walteros. Vol. 8426: Lectute Notes in Computer Science. Switzerland : Springer, 2014.
- Book Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers / Ed. by P. M. Pardalos, M. Resende, C. Vogiatzis, J. Walteros. Vol. 8426. Springer, 2014.
- Book Lecture Notes in Computer Science / Ed. by P. M. Pardalos, M. Resende, C. Vogiatzis, J. Walteros. Vol. 8426: Learning and Intelligent Optimization. Springer, 2014.
- Book Pardalos P. M., Rassias T. Mathematics Without Boundaries. Surveys in Interdisciplinary Research. Springer, 2014.
- Book Pardalos P. M., Rassias T. Mathematics Without Boundaries. Surveys in Pure Mathematics. Springer, 2014.
- Article Kalyagin V.A., Koldanov A.P., Koldanov P.A., Pardalos P.M., Zamaraev V.A. Measures of uncertainty in market network analysis // Physica A: Statistical Mechanics and its Applications. 2014. Vol. 413. No. 1. P. 59-70. doi
- Book Kalyagin V. A., Pardalos P. M., Rassias T. Network Models in Economics and Finance. Springer, 2014.
- Article Vizgunov Arsenii, Goldengorin B., Kalyagin V. A., Koldanov A. P., Koldanov P.A., Pardalos P. M. Network approach for the Russian stock market // Computational Management Science. 2014. Vol. 11. No. 1-2. P. 45-55. doi
- Article Mikhail Batsyn, Boris Goldengorin, Panos M. Pardalos, Pavel Sukhov. Online heuristic for the preemptive single machine scheduling problem of minimizing the total weighted completion time // Optimization Methods and Software. 2014. Vol. 29. No. 5. P. 955-963. doi
- Article Pei J., Fan W., Pardalos P. M., Liu X., Goldengorin B. I., Yang S. Preemptive scheduling in a two-stage supply chain to minimize the makespan // Optimization Methods and Software. 2014. Vol. 30. No. 4. P. 727-747.
- Chapter Fan N., Sadeghi E., Pardalos P. M. Robust Support Vector Machines with Polyhedral Uncertainty of the Input Data, in: Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers / Ed. by P. M. Pardalos, M. Resende, C. Vogiatzis, J. Walteros. Vol. 8426. Springer, 2014. P. 291-305.
- Article Xanthopoulos P., Guarracino M. R., Pardalos P. M. Robust generalized eigenvalue classifier with ellipsoidal uncertainty // Annals of Operations Research. 2014. Vol. 216. No. 1. P. 327-342. doi
- Article Bautin G. A., Koldanov A. P., Pardalos P. M. Robustness of sign correlation in market network analysis // Springer Optimization and Its Applications. 2014. Vol. 100. P. 25-33.
- Book Social Networks and the Economics of Sports / Ed. by P. M. Pardalos, V. A. Zamaraev. Springer, 2014.
- Article Buchanan A., Walteros J. L., Butenko S., Pardalos P. M. Solving maximum clique in sparse graphs: an O(nm+n2d/4) algorithm for d-degenerate graphs // Optimization Letters. 2014. Vol. 8. No. 5. P. 1611-1617.
- Article Evgeny Maslov, Mikhail Batsyn, Panos M. Pardalos. Speeding up branch and bound algorithms for solving the maximum clique problem // Journal of Global Optimization. 2014. Vol. 59. No. 1. P. 1-21. doi
- Chapter Koldanov P., Pardalos P. M., Zamaraev V. A. Statistical Uncertainty of Market Network Structures, in: DATA ANALYTICS 2014, The Third International Conference on Data Analytics. , 2014. P. 91-94.
- Chapter Jäger G., Goldengorin B. I., Pardalos P. M. The Theory of Set Tolerances, in: Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers / Ed. by P. M. Pardalos, M. Resende, C. Vogiatzis, J. Walteros. Vol. 8426. Springer, 2014. P. 362-377.
- Chapter Кочетуров А. А., Бацын М. В., Пардалос П. О., Гольденгорин Б. И. Анализ финансовых рынков средствами модели о p-медианах // В кн.: XIV Апрельская международная научная конференция по проблемам развития экономики и общества: в 4-х книгах. Книга 4 / Отв. ред.: Е. Г. Ясин. М. : Издательский дом НИУ ВШЭ, 2014. С. 394-402.
- Article М.В. Лукоянов, И.С. Гречихин, В.А. Калягин, P.M. Pardalos, И.В. Мухина Особенности пространственной синхронизации электроэнцефалограмм леворуких и праворуких испытуемых в состоянии покоя и при когнитивной нагрузке: анализ с применением теории графов // Современные технологии в медицине. 2014. Т. 6. № 2. С. 6-14.
- Article Малышев Д. С., Пардалос П. О. Эффективное вычисление допусков в задаче о взвешенном независимом множестве для некоторых классов графов // Доклады Академии Наук. Информатика. 2014. Т. 455. № 5. С. 529-532.
- Article Wang L., Pardalos P. M., Yang R., Xu Y., Niu Q., Fei M. An Improved Adaptive Binary Harmony Search Algorithm // Information Sciences. 2013. Vol. 232. P. 58-87.
- Chapter Arsenii Vizgunov, Andrey Glotov, Pardalos P. M. Comparative analysis of the BRIC countries stock markets using network approach, in: Models, Algorithms, and Technologies for Network Analysis / Ed. by Boris I. Goldengorin, Valery A. Kalyagin, Panos M. Pardalos. Vol. 59. NY : Springer, 2013. Ch. 12. P. 191-201.
- Book Dynamics of Information Systems: Algorithmic Approaches / Ed. by A. Sorokin, P. M. Pardalos. Vol. 51. NY : Springer, 2013.
- Article Goldengorin B. I., Malyshev D., Pardalos P. M. Efficient Computation of Tolerances in the Weighted Independent Set Problem for Trees / Пер. с рус. // Doklady Mathematics. 2013. Vol. 87. No. 3. P. 368-371. doi
- Chapter Mikhail Batsyn, Boris Goldengorin, Pavel Sukhov, Panos M. Pardalos. Lower and Upper Bounds for the Preemptive Single Machine Scheduling Problem with Equal Processing Times, in: Models, Algorithms, and Technologies for Network Analysis / Ed. by Boris I. Goldengorin, Valery A. Kalyagin, Panos M. Pardalos. Vol. 59. NY : Springer, 2013. Ch. 2. P. 11-27.
- Article Du H., Pardalos P. M., Wu W., Wu L. Maximum lifetime connected coverage with two active-phase sensors // Journal of Global Optimization. 2013. Vol. 56. No. 2. P. 559-568. doi
- Book Models, Algorithms, and Technologies for Network Analysis / Ed. by B. I. Goldengorin, V. A. Kalyagin, P. M. Pardalos. Issue 32. NY : Springer, 2013. (in press)
- Book Models, Algorithms, and Technologies for Network Analysis / Ed. by Boris I. Goldengorin, Valery A. Kalyagin, Panos M. Pardalos. Vol. 59. NY : Springer, 2013.
- Book Pardalos P. M., Pappalardo E., Stracquadanio G. Optimization Approaches for Solving String Selection Problems Vol. XV. L., NY, Dordrecht, Heidelberg : Springer, 2013.
- Book Optimization, Simulation, and Control / Ed. by A. Chinchuluun, P. M. Pardalos, E. Rentsen, E. Pistikopoulos. Issue 76. NY : Springer, 2013.
- Chapter Mikhail Batsyn, Ilya Bychkov, Boris Goldengorin, Panos M. Pardalos, Pavel Sukhov. Pattern-Based Heuristic for the Cell Formation Problem in Group Technology, in: Models, Algorithms, and Technologies for Network Analysis / Ed. by B. I. Goldengorin, V. A. Kalyagin, P. M. Pardalos. Issue 32. NY : Springer, 2013. Ch. 2. P. 11-50.
- Article Georgiev P. G., The Luc D., Pardalos P. M. Robust aspects of solutions in deterministic multiple objective linear programming // European Journal of Operational Research. 2013. Vol. 229. No. 1. P. 29-36. doi
- Article Kalyagin V. A., Koldanov A. P., Koldanov P.A., Pardalos P. M., Bautin G. A. Simple measure of similarity for the market graph construction // Computational Management Science. 2013. Vol. 10. No. 2-3. P. 105-124. doi
- Chapter Evgeny Maslov, Mikhail Batsyn, Panos M. Pardalos. Speeding up MCS Algorithm for the Maximum Clique Problem with ILS Heuristic and Other Enhancements, in: Models, Algorithms, and Technologies for Network Analysis / Ed. by Boris I. Goldengorin, Valery A. Kalyagin, Panos M. Pardalos. Vol. 59. NY : Springer, 2013. Ch. 7. P. 93-99.
- Article Koldanov A. P., Kalyagin V. A., Koldanov P.A., Pardalos P. M. Statistical procedures for the market graph construction // Computational Statistics & Data Analysis. 2013. Vol. 68. P. 17-29.
- Chapter Mikhail Batsyn, Boris Goldengorin, Anton Kocheturov, Panos M. Pardalos. Tolerance-Based vs. Cost-Based Branching for the Asymmetric Capacitated Vehicle Routing Problem, in: Models, Algorithms, and Technologies for Network Analysis / Ed. by Boris I. Goldengorin, Valery A. Kalyagin, Panos M. Pardalos. Vol. 59. NY : Springer, 2013. Ch. 1. P. 1-10.
- Article Гольденгорин Б. И., Малышев Д. С., Пардалос П. О. Эффективное вычисление допусков в задаче о взвешенном независимом множестве для деревьев // Доклады Академии Наук. Информатика. 2013. Т. 450. № 4. С. 393-396.
- Article Gürbüz F., Pardalos P. M. A decision making process application for the slurry production in ceramics via fuzzy cluster and data mining // Journal of Industrial and Management Optimization. 2012. Vol. 8. P. 285-297.
- Article Zhengb Q. P., Wang J., Pardalos P. M., Guan Y. A decomposition approach to the two-stage stochastic unit commitment problem // Annals of Operations Research. 2012. P. 1-24. doi
- Article Pardalos P. M., Fan N., Izraelevitz D., Pan F., Wang J. A mixed integer programming approach for optimal power grid intentional islanding // Energy Systems. 2012. Vol. 3. No. 1. P. 77-93. doi
- Article Kotsireas I. S., Koukouvino C., Pardalos P. M., Simos D. E. Competent genetic algorithms for weighing matrices // Journal of Combinatorial Optimization. 2012. Vol. 24. No. 4. P. 508-522.
- Book Goldengorin B. I., Pardalos P. M. Data Correcting Approaches in Combinatorial Optimization. NY : Springer, 2012.
- Book Dynamics of Information Systems: Mathematical Foundations / Ed. by A. Sorokin, R. Murphey, M. Thai, P. M. Pardalos. Issue 20. NY : Springer, 2012.
- Article Festa P., Pardalos P. M. Efficient solutions for the far from most string problem // Annals of Operations Research. 2012. P. 663-682.
- Book Essays in Mathematics and its Applications / Ed. by P. M. Pardalos, T. Rassias. NY : Springer, 2012.
- Article Chistyakov V., Goldengorin B. I., Pardalos P. M. Extremal values of global tolerances in combinatorial optimization with an additive objective function // Journal of Global Optimization. 2012. Vol. 53. No. 3. P. 475-495. doi
- Book Financial Decision Making Using Computational Intelligence / Ed. by M. Doumpos, C. Zopounidis, P. M. Pardalos. Issue 70. L., NY, Dordrecht, Heidelberg : Springer, 2012.
- Article Liu H., Fana N., Pardalos P. M. Generalized Lagrange Function and Generalized Weak Saddle Points for a Class of Multiobjective Fractional Optimal Control Problems // Journal of Optimization Theory and Applications. 2012. Vol. 154. No. 2. P. 370-381. doi
- Chapter Shylo O., Korenkevych D., Pardalos P. M. Global Equilibrium Search Algorithms for Combinatorial Optimization Problems, in: Parallel Problem Solving from Nature - PPSN XII / Ed. by C. A. Coello Coello, V. Cutello, K. Deb, S. Forrest, G. Nicosia, M. Pavone. Issue 7492. Saarbrücken : Springer, 2012. P. 227-286.
- Article Pardalos P. M., Shylo O., Korenkevych D. Global equilibrium search algorithms for combinatorial optimization problems // Lecture Notes in Computer Science. 2012. Vol. 7492 LNCS. No. 2. P. 277-286.
- Article Chistyakov V., Goldengorin B. I., Pardalos P. M. Global tolerances in the problems of combinatorial optimization with an additive objective function / Пер. с рус. // Доклады Академии наук. 2012. Vol. 86. No. 2. P. 707-710.
- Article Pardalos P. M., Aydogan E., Karaoglan I. HGA: Hybrid genetic algorithm in fuzzy rule-based classification systems for high-dimensional problems // Applied Soft Computing Journal. 2012. Vol. 12. No. 2. P. 800-806. doi
- Book Handbook of CO₂ in Power Systems / Ed. by Q. Zheng, S. Rebennack, P. M. Pardalos, M. V. Pereira, N. Iliadis. Issue 8. NY : Springer, 2012.
- Book Handbook of Optimization in Complex Networks / Ed. by P. M. Pardalos, M. Thai. Vol. 58: Communication and Social Networks. L., NY, Dordrecht, Heidelberg : Springer, 2012.
- Book Handbook of Optimization in Complex Networks / Ed. by P. M. Pardalos, M. Thai. Vol. 57: Theory and Applications. L., NY, Dordrecht, Heidelberg : Springer, 2012.
- Article Granata D., Behdani B., Pardalos P. M. On the complexity of path problems in properly colored directed graphs // Journal of Combinatorial Optimization. 2012. Vol. 24. No. 4. P. 459-467.
- Book Optimization and Data Analysis in Biomedical Informatics / Ed. by P. M. Pardalos, T. F. Coleman, P. Xanthopoulos. Vol. 63. L., NY, Dordrecht, Heidelberg : Springer, 2012.
- Article Pardalos P. M., Ravetti M., Riveros C., Mendes A., Resende M. Parallel hybrid heuristics for the permutation flow shop problem // Annals of Operations Research. 2012. Vol. 199. No. 1. P. 269-284. doi
- Article Fana N., Zhengb Q. P., Pardalos P. M. Robust optimization of graph partitioning involving interval uncertainty // Theoretical Computer Science. 2012. Vol. 447. P. 53-61.
- Article Pardalos P. M., Maslov E. V., Lu Z., Wu L., Lee W., Du D. Routing-efficient CDS construction in Disk-Containment Graphs // Optimization Letters. 2012. P. 1-10. doi
- Article Гольденгорин Б. И., Пардалос П. О., Чистяков В. В. Глобальные допуски в задачах комбинаторной оптимизации с аддитивной целевой функцией // Доклады Академии наук. 2012. Т. 446. № 1. С. 21-24.
- Article Визгунов А. Н., Гольденгорин Б. И., Замараев В. А., Калягин В. А., Колданов А. П., Колданов П. А., Пардалос П. О. Применение рыночных графов к анализу фондового рынка России // Журнал Новой экономической ассоциации. 2012. № 3(15). С. 66-81.
- Book Mucherino A., Papajorgji P. J., Pardalos P. M. Data Mining in Agriculture Vol. 34. Amsterdam : Springer, 2009.
- Book Pardalos P. M., Yatsenko V. Optimization and Control of Bilinear Systems Vol. 11. Amsterdam : Springer, 2008.
- Book Du D., Pardalos P. M., Wu W. Mathematical Theory of Optimization Issue 56. Dordrecht : Springer, 2001.
- Book Horst R., Pardalos P. M., Van Thoai N. Introduction to Global Optimization. Second Edition. Amsterdam : Springer, 2000.
Distinguished professor of the University of Florida
Director of the Center for Applied Optimization
USA
Academic awards
2013 ‑ Constantin Caratheodory Prize, (July 2013).
2013 ‑ EURO Gold Medal (EGM) (July 1 2013).
2013 ‑ Honorary Professor of Anhui University of Sciences and Technology, China (July 2013).
2013 ‑ Award from the International Conference "Numerical Computations: Theory and Algorithms" for outstanding scientific achievements in the field of Optimization (June 2013, Italy).
2013 – Elizabeth Wood Dunlevie Honors Term Professor for 2013-2014, University ofFlorida.
2013 – Medal (in recognition of broad contributions in science and engineering) of theUniversity of Catania, Italy
2012 – Honorary Doctor of Science Degree, Wilfrid Laurier University, Canada.
2011 – Grant of the Russian Government for the state support of scientific research conducted under the guidance of leading scientists in Russian universities; Scientific advisor of the Laboratory of Algorithms and Technologies for Network Analysis at the National Research University, Higher School of Economics (Moscow-Nizhny Novgorod).
2010 – President, International Society of Global Optimization.
2010 – Honorary Professor, Graduate School of Information Technology & Mathematical Sciences, University of Ballarat, Australia.
2009 – UF 2009 International Educator Award.
2009 – "Roberto D. Galvao Prize" best paper award ("A hybrid genetic algorithm for road congestion minimization," In the XLI Symposium of the Brazilian Operational Research Society, Porto Seguro, Brazil, September 2009.
2008 – Degree of Honorary Doctor, V.M. Glushkov Institute of Cybernetics of The National Academy of Sciences of Ukraine.
2008 – University of Florida Research Foundation Professorship.
2007 – Senior Fulbright Specialist Award (July 2007).
2007 – UF Doctoral Dissertation Advisor/Mentoring Award.
2006 – Fellow of INFORMS (Institute of Operations Research and the Management Sciences).
2005 – Degree of Honorary Doctor, N.I. Lobachevski State University of Nizhni Novgorod, Russia.
2005 – Honorary Member of the Mongolian Academy of Sciences.
2004 – Fellow of AAAS (American Association for the Advancement of Science).
2004 – "The William Pierskalla Best Paper Award" for research excellence in health care management science, Institute for Operations Research and the Management Sciences (INFORMS)
2003 – Foreign Member of the "National Academy of Sciences of Ukraine"
2003 – Outstanding Professional and Academic Titles in 2002, Handbook of Applied Optimization, Honorable Mention, Association of American Publishers
2003 – Outstanding Faculty Award, ISE Department.
2002 – Outstanding Faculty Award, ISE Department.
2001 2001 Greek National Award and Gold Medal for Operations Research.
2001 – Outstanding Faculty Award, ISE Department .
2000 – Foreign Member "Petrovskaya Academy of Sciences and Arts", Russia.
1999 – Foreign Member "Lithuanian Academy of Sciences".
1998 – Foreign Associate Member "Reial Academia de Doctors", Spain.
1998 – University of Florida Research Foundation Professorship.
1999 – Outstanding Faculty Award, ISE Department.
1994 – Obermann Faculty Fellowship, University of Iowa Center for Advanced Studies.
1991 – IBM Achievement Award
1984 – Doctoral Dissertation Fellowship.
1983 – "Excellent Performance in Ph.D. Qualifying Exam" Awarded by the Computer Science Department for excellent performance in the Written Preliminary Qualifying Exam for the Ph.D. program
1972-77 – Fellowships awarded by the Greek Government.
Reseach interests
Global Optimization and Applications, Design and Analysis of Computer Algorithms, ComputationalNeuroscience, Parallel Computing in Mathematical Programming, Optimizationin Biomedical Engineering, Telecommunications, Supply Chain, E-commerce, and FinancialEgineering, Information Theory and Control, Massive Datasets and Data Mining, CoperativeSystems, Scienti c Computing, Software Design and Development.
‘Like Electricity, AI Can Bring Incredible Benefits’
Developments in the field of artificial intelligence are gradually taking over the world. AI has the potential to bring incredible benefits to the global economy and our quality of life, but it also creates new challenges. Panos Pardalos, Professor at the University of Florida, Academic Supervisor of the Laboratory of Algorithms and Technologies for Networks Analysis (Nizhny Novgorod), covered these issues, along with other related topics, in his recent report.
3rd Winter School on Data Analytics Held at HSE Nizhny Novgorod
On November 28th-30th, HSE Nizhny Novgorod hosted the 3rd Winter School of Data Analytics (DA 2018). Over the last three years, this school has become a significant event in the history of data culture at the HSE campus in Nizhny Novgorod.
Developing New Research Tools
The Laboratory of Algorithms and Technologies for Networks Analysis (LATNA) in Nizhny Novgorod is one of HSE’s international laboratories. It is co-supervised by Panos Pardalos, Distinguished Professor at the University of Florida, and Valery Kalyagin, Professor and Department Head at the Department of Applied Mathematics and Informatics. Professor Kalyagin told The HSE Lookabout the lab’s research projects, its work with students, and engagement in the educational life of the campus and HSE at large.
HSE Staff Receive Acknowledgement Medals
Some HSE staff members have received ‘Acknowledgement’ medals for their professional achievements and hard work.
On Tuesday, December 22 the all-Russian seminar "Mathematical methods of decision analysis in economics, finance and politics" was held.
Speaker: Panos M. Pardalos (CAO, University of Florida, USA & LATNA, Higher School of Economics, Russia)
Title: Constrained Subspace Classifier for High Dimensional Datasets
Russian Summer School in Information Retrieval
The Russian Summer School in Information Retrieval (RuSSIR 2015) is taking place from August 24 th – 28 th , 2015, in the new university building on Kantemirovskaya. This year the school has been organized by the HSE Internet Studies Lab and the Russian Information Retrieval Evaluation Seminar (ROMIP).
Laboratory of Algorithms and Technologies for Networks Analysis
Panos Pardalos, Scientific Advisor of the Laboratory of Algorithms and Technologies for Networks Analysis (LATNA), and Valery Kalyagin, Head of the LATNA, talk about research projects of the laboratory.
Laboratory of Algorithms and Technologies for Networks Analysis
Panos Pardalos, Scientific Advisor of the Laboratory of Algorithms and Technologies for Networks Analysis (LATNA), and Valery Kalyagin, Head of the LATNA, talk about research projects of the laboratory.
'My Nickname at School Was 'Professor'. I Had to Live up to It'
Why do people become researchers and pursue careers in science? What is more important for them – self-fulfillment or financial incentives? On the day before Russia celebrated Science Day on Feb 8, HSE’s news service talked to researchers working at HSE about what motivated them to become scientists.
Internet Search Possible without Search Engines
Specialists from the HSE’s Nizhny Novgorod campus plan to create a new system of structuring data and accounting of webpages. The Laboratory of Algorithms and Technologies for Networks Analysis has won a grant from the Russian Science Foundation to study ‘Clustering and Search Techniques in Large Scale Networks.’
Experts discuss issues related to big data processing
The Second International Conference on Information Technology and Quantitative Management (ITQM 2014) took place on June 3-5, drawing 120 professionals from 29 countries to consider issues of model performance and decision-making algorithms when processing large amounts of data.
Professor Panos Pardalos Celebrates His 60th Birthday
On June 17, 2014, Panos Pardalos—Distinguished Professor at the University of Florida and Scientific Advisor at the HSE’s International Laboratory of Algorithms and Technologies for Networks Analysis—celebrates his 60th birthday.
An International Laboratory of Mathematical Finance Will Appear at the HSE
One of the HSE’s applications was a winner at the third competition to attract leading researchers to Russian universities. The competition was held by Decree No. 220 of the Government of the Russian Federation. A new Laboratory of Mathematical Finance at the HSE will be headed by Yury Kabanov, Professor at the University of Franche-Comté (Besançon).
‘Efficient Harvesting of Solar Energy Will Be as Dramatic as the Discovery of Extra-Terrestrial Life’
On April 3, 2013, Panos M. Pardalos, Academic Supervisor of the HSE Laboratory of Algorithms and Technologies for Networks Analysis in Nizhny Novgorod, Professor at the University of Florida, USA, gave an honorary lecture on ‘Optimization and Modeling in Energy Networks’ as part of the XIV HSE April International Academic Conference on Economic and Social Development.