Confirmed Speakers

Ling Hong
School of Aerospace Xi'an Jiatong University

Bio: Prof. Ling Hong’s research area is Nonlinear Dynamics and Control focusing on global dynamics, bifurcations and chaos. The following are her research projects from NSFC that she has currently been working:
  1. State Space Discretization Based Methods for Vibration and Control of High Dimensional Uncertain Nonlinear Systems (Co-PI from 2014 to 2018)
  2. Study on Evolutionary Dynamics of Transient Responses and Membership Distribution Functions for Fuzzy Nonlinear Systems (PI from 2017 to 2020)
More information about his research contribution can be found from
Evolutionary Multi-Criterion Optimization: Three Decades of Research and Applications

Kalyanmoy Deb
Michigan State University

Abstract:  Started in early nineties, multi-objective optimization problems were solved without any prior preference information. Evolutionary computation methods were minimally modified to search and store multiple Pareto-optimal solutions simultaneously within an evolving population. The basic idea has not changed in the past three decades, but it has been extended, perfected, and applied to various fields of science, society, engineering, and business. This lecture will present a chronological account of key events and research inventions which propelled the evolutionary multi-objective optimization (EMO) into a field which many novice and expert researchers and applicationists now proudly call it their profession.

Bio:  Kalyanmoy Deb is Koenig Endowed Chair Professor at Department of Electrical and Computer Engineering in Michigan State University, USA. Prof. Deb is a pioneer and has been an active proponent of EMO field since 1994. Prof. Deb's research interests are in evolutionary optimization and their application in multi-criterion optimization, modeling, and machine learning. He has been a visiting professor at various universities across the world including IITs in India, Aalto University in Finland, University of Skovde in Sweden, Nanyang Technological University in Singapore. He was awarded IEEE Evolutionary Computation Pioneer Award, Infosys Prize, TWAS Prize in Engineering Sciences, CajAstur Mamdani Prize, Distinguished Alumni Award from IIT Kharagpur, Edgeworth-Pareto award, Bhatnagar Prize in Engineering Sciences, and Bessel Research award from Germany. He is fellow of IEEE, ASME, and three Indian science and engineering academies. He has published over 520 research papers with Google Scholar citation of over 137,000 with h-index 116. He is in the editorial board on 20 major international journals. More information about his research contribution can be found from


Jian-Qiao Sun
UC Merced

Bio: Dr. Jian-Qiao Sun earned a BS degree in Solid Mechanics from Huazhong University of Science and Technology in Wuhan, China in 1982, and a PhD in Mechanical Engineering from University of California at Berkeley in 1988. He worked for Lord Corporation at their Corporate R&D Center in Cary, North Carolina. Dr. Sun jointed the faculty in the department of Mechanical Engineering at the University of Delaware as an Assistant Professor in 1994, was promoted to Associate Professor in 1998 and to Professor in 2003. He joined University of California at Merced in 2007, and is currently a professor and chair of the Department of Mechanical Engineering in School of Engineering. He is currently the Editor-in-Chief of International Journal of Dynamics and Control published by Springer.

More information about his research contribution can be found from

Elements of Multi-objective Optimization in Nuclear Power Engineering

Fu Rui Xiong
R&D Center of Nuclear Power Institute of China (NPIC)

Abstract:  Nuclear reactor design is a complex system engineering practice that involves intensive multi-disciplinary collaboration. The balance among safety, cost and performance requires not only advanced parameter tuning techniques, but also smart formulation of optimization tasks. In this talk, we shall first overview the complexity in nuclear reactor design. Then, vital elements that would significantly influence reliable design outcome are walked through with each element associates with an industrial case study. The talk ends with our current approach on applying multi-fidelity simulation strategy to bridge the gap between costly computation and swift iteration of product development at early design phase.

Bio:  Dr. Fu-Rui Xiong earned his B.S and Ph.D degree from school of mechanical engineering, Tianjin University, China in 2011 and 2015, respectively. He joined the R&D center of Nuclear Power Institute of China (NPIC) in 2016 and is now the senior engineer and deputy director of the CAE department. Dr. Fu-Rui Xiong’s research interests include the dynamical analysis of complex nonlinear systems, fluid-solid interaction in nuclear reactor, multi-objective structural optimization, active/passive vibration control and data-drive system modeling. Dr. Xiong has been the author and co-author of over 30 journal and conference publications and 2 academic monographs.

More information about his research contribution can be found from