Pintér, János D. (Lehigh University)

János D. Pintér,

János D. Pintér, PhD, DSc
Professor of Practice, Computation and Data Analytics
Department of Industrial and Systems Engineering
P.C. Rossin College of Engineering and Applied Science
Lehigh University

Mailing address:
Harold S. Mohler Laboratory, Room 486
200 West Packer Avenue, Bethlehem, PA 18015-1582

Phone: 610-758-4430
Email: jdp416@lehigh.edu
Website: https://engineering.lehigh.edu/faculty/janos-d-pinter
http://www.pinterconsulting.com

Topics

Global Optimization: Models and Algorithms
A concise review of the most important optimization model types and solution strategies, to solve multi-extremal optimization models. (Intermediate)

Nonlinear (Global and Local) Optimization in Modeling Environments
The speaker reviews several professional implementations of advanced nonlinear optimization software, with 'live' software demonstrations. (Intermediate)

Global Optimization: Advanced Applications
The speaker reviews interesting challenges and recent applications of global optimization in engineering and scientific studies, with demonstration program examples. (Intermediate)

Background:

  • M.Sc. Applied Math - University of Sciences (ELTE), Budapest
  • Ph.D. Stochastic Optimization - Moscow State (Lomonosow) University
  • D.Sc. Mathematics - Hungarian Academy of Sciences

Author and editor of several books, numerous other publications in operations research and its applications. Winner of the 2000 INFORMS Computing Society Prize; Global Optimization Vice-Chair of the INFORMS Optimization Section (2002-2004). Editorial board member of the Journal of Global Optimization; the Journal of Applied Mathematics & Decision Sciences; Algorithmic Operations Research; Int. J. of Modeling Identification and Control; and of the websites GAMS Global World and GAMS Performance World.

Principal developer of the LGO, AIMMS/LGO, Excel PSP/LGO, GAMS/LGO, Maple Global Optimization Toolbox, MathOptimizer, MathOptimizer Professional , MPL/LGO, and TOMLAB/LGO software products for nonlinear (global and local) optimization.