Prof. Dr. Dr. h.c. mult. Panayote M. Pardalos

Profile

Academic positionFull Professor
Research fieldsNumerical Analysis, Optimization, Simulation,Mathematical Modelling
KeywordsOptimization in Biomedical Engineering, Massive Datasets and Data Mining, Networks, Global Optimization and Applications, Parallel Computing in Mathematical Programming

Current contact address

CountryUnited States of America
CityGainesville
InstitutionUniversity of Florida
InstituteDepartment of Industrial and Systems Engineering

Host during sponsorship

Prof. Dr. Steffen RebennackInstitut für Operations Research (IOR), Stochastische Optimierung, Karlsruher Institut für Technologie (KIT), Karlsruhe
Start of initial sponsorship01/02/2019

Program(s)

2018Humboldt Research Award Programme

Nominator's project description

Professor Pardalos is a world-leader in the field of optimization, particularly global optimization. He has made major contributions to the theory in this area as well as its applications to science, engineering, medicine and to large-scale optimization in general. In Germany, he plans to conduct research in the area of power systems, robustness of networks and analysis of massive data sets.

Publications (partial selection)

2020Wenqin Xu, Chen Chen, Shuxin Ding, Panos M.Pardalos: A bi-objective dynamic collaborative task assignment under uncertainty using modified MOEA/D with heuristic initialization. In: Expert Systems with Applications , 2020, 112844
2020Jianyu Long, Zhenzhong Sun, Panos M.Pardalos, Yun Bai, Shaohui Zhang, Chuan Li: A robust dynamic scheduling approach based on release time series forecasting for the steel making-continuous casting production. In: Applied Soft Computing Journal, 2020, 1-17
2020Juan Li, Jie Li, Panos M.Pardalos, Chengwei Yang: DMaOEA-?C: Decomposition-based many-objective evolutionary algorithm with the ?-constraint framework. In: Information Sciences, 2020, 203-226
2020Resener, M., Rebennack, S., Pardalos, P.M., Haffner, S. (Eds.): Handbook of Optimization in Electric Power Distribution Systems. Springer, 2020
2020M. Hadi Amini, Ahmed Imteaj, and Panos M. Pardalos: Interdependent Networks: A Data Science Perspective, DOI:https://doi.org/10.1016/j.patter.2020.100003. In: Patterns, 2020, 1-9
2020Baoyu Liao, Xingming Wang, Xing Zhu, Shanlin Yang & Panos M. Pardalos Less is more approach for competing groups scheduling with different learning effects. In: Journal of Combinatorial Optimization, 2020, 33-54
2019Blondin, Maude Josée, Pardalos, Panos M., Sanchis, Javier S (Eds): Computational Intelligence and Optimization Methods for Control Engineering. Springer Nature, 2019
2019Sravros P. Adam, Stamatios_Angelos N. Alexandropoulos, Panos M. Pardalos, MicahalisN. Vragatis: No Free Lunch Theorem: A Review. In: Ioannis C. Demetriou and Panos M. Pardalos, Approximation and Optimization: Algorithms, Complexity and Applications. Springer Nature, 2019. 57-82