Topic: Networks and Data Science in Brain Research
Speaker：Panos M. Pardalos，Ph.D.，University of Florida
Date：June 21, at 9：00 AM
Venue：Room 308, IRC Building
Large scale problems in medicine and engineering, in the design of networks, in the application of biomedical fields, energy systems, and finance, are modeled as optimization problems. Humans and nature are constantly optimizing to minimize costs or maximize profits, to maximize the flow in a network, or to minimize the probability of a blackout in a smart grid. Due to new algorithmic developments and the computational power of machines (digital, analog, biochemical, quantum computers, etc.), optimization algorithms have been used to “solve” problems in a wide spectrum of applications in science and engineering. But what do we mean by “solving” an optimization problem? What are the limits of what machines (and humans) can compute?
Biography of the Speaker:
Panos M. Pardalos serves as distinguished professor of industrial and systems engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor of industrial and systems engineering. He is also an affiliated faculty member of the Computer and Information Science Department, the Hellenic Studies Center, and the biomedical engineering program. Prof. Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing. Prof. Pardalos has received numerous awards and honors, including Constantin Carathéodory Prize, 2013 EURO Gold Medal (EGM), Honorary Doctor of Science Degree of Wilfrid Laurier University, 2007 Senior Fulbright Specialist Award, Honorary Member of the Mongolian Academy of Sciences, etc. He was the Founding Editor and Editor-in-Chief of the Journal of Global Optimization and Optimization Letters. Currently he is the Editor-in-Chief of two journals: Energy Systems andComputational Management Science. He also serves as a member of the Editorial Board of numerous internally highly reputable scholarly journals.
Beijing Advanced Innovation Center for Big Data-Based Precision Medicine