neo2018

Speakers

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 http://gr.xjtu.edu.cn/web/hongling
 

Rosa De Guadalupe González Huerta
ESIQIE-IPN

Bio: Dr. González Huerta holds a Degree in Chemical Engineering from ESIQIE-IPN (1992) and a Doctorate in Chemicals Science from CINVESTAV-IPN (2000-2005). Currently she is Professor B at ESIQIE-IPN (Contratatda as of March 16 2007) in the area of Electrochemistry. She belongs to the National System of Researchers SNI level 2 (2018-20121), EDI Scholarship level 9 and scholarship COFAA level 5. Member of the College of the Doctorate of Nanosciences and Micro-nano IPN Technology and IPN Doctorate in Energy. Coordinator of the commission to create the academic programs of Energy Engineering (2017) and Engineering in Sustainable Energy Businesses (2019). She is former president of the Mexican Hydrogen Society (2010-2012). Coordinator and founder of the CONACYT Hydrogen Thematic Network 2014. Member of the Network of Energy and Nanotechnology Network of the IPN.

Research Interest: Electrocatalysis and obtaining kinetic parameters for RRO and REO. Preparation and electrochemical characterization of membrane electrode cell assembly of PEM fuel and electrolysers. Development of integral and renewable energy systems hydrogen. Design of energy management systems with systems for Energy storage using hydrogen batteries. Design and integration of alkaline electrolysers for fossil fuel savings using combustion dual.

Projects: Coordinator of 10 projects on hydrogen technology development, including hybrid solar-hydrogen system for LED lighting, hybrid system waves-electrolysis and sustainable housing solar-hydrogen.

More information about his research contribution can be found from https://ipn.elsevierpure.com/en/persons/rosa-de-guadalupe-gonz%C3%A1lez-huerta

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 https://www.coin-lab.org

 

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 https://www.ucmerced.edu/content/jian-qiao-sun

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 https://www.researchgate.net/profile/Furui_Xiong

Thermal solar energy, a solution for a more sustainable future

Ivan Salgado Transito
AC Optics Research Center

Bio:  Research Fellow in Solar Energy, Member of Mexican National Research System level - 1. Bachelor degree in Mechanical Engineer and MSc. & D.Eng in Solar Energy from the National Autonomous University of Mexico. Postdoc at the Solar Energy Laboratory of the University of Minnesota, US. Member of TAKS 49 - Solar Heat Integration in Industrial Processes (IEA) and the Mexican Heat Initiative. He has done two research stays, one in the Almeria Solar Platform and the other in the Faculty of Mathematics at the University of Basque Country. He serves as Assistant Professor at the University of Sonora working in the Heliostats Test Field in Hermosillo, Mexico. He is currently a Research Fellow at The Optical Research Center (CIO, Spanish abbreviation); His main achievements are the foundation of the Solar Energy Research & Engineering Group and the establishment of The Thermal Energy and Photovoltaic Evaluation Lab (LICS-TF).

More information about his research contribution can be found from https://www.cio.mx/investigadores/ivan_salgado