ECE Graduate Seminar 3/27/2020
The Department of Electrical & Computer Engineering invites you to join us online for our weekly graduate seminar.
All lectures to be held at 3:00pm on Fridays online at https://vs.prod.odu.edu/kvs/interface_reach/?cid=201920_ECE731VS_21458.
For more information, contact Dr. Dimitrie Popescu at (757) 683-5414 or email dpopescu@odu.edu.
Friday, March 27, 2020 Seminar Topic:
SIMULATION OF ELECTRON-PROTON SCATTERING EVENTS BY GENERATIVE ADVERSARIAL NETWORKS WITH AUGMENTED FEATURES by Dr. Yaohang Li, Ph.D., Associate Professor in the Department of Computer Science at Old Dominion University
Friday, March 27, 2020 Seminar Topic:
SIMULATION OF ELECTRON-PROTON SCATTERING EVENTS BY GENERATIVE ADVERSARIAL NETWORKS WITH AUGMENTED FEATURES by Dr. Yaohang Li, Ph.D., Associate Professor in the Department of Computer Science at Old Dominion University
Abstract: We apply generative adversarial network (GAN) technology to build a physical event generator that simulates particle production in electron-proton scattering that is free of theoretical assumptions about underlying particle dynamics. The difficulty of efficiently training a GAN event simulator lies in learning the complicated patterns of the distributions of the particles' physical properties. We develop a GAN that selects a set of transformed features from particle momenta that can be generated easily by the generator, and uses these to produce a set of augmented features that improve the sensitivity of the discriminator. The new Feature-Augmented and Transformed GAN (FAT-GAN) is able to faithfully reproduce the distribution of final state electron momenta in inclusive electron scattering, without the need for input derived from domain-based theoretical assumptions. The developed GAN-based physical event generation technology can play a significant role in boosting the science of the 12~GeV program and the future Electron-Ion Collider in national laboratories.
Bio: Yaohang Li is an Associate Professor in the Department of Computer Science at Old Dominion University. His research interests are in Computational Biology, Monte Carlo methods, Big Data Analysis, and Parallel/Distributed/Grid Computing. His current projects include Protein Structure Modeling, Monte Carlo Methods for Big Data Analysis and Large-Scale Linear Algebra.
Yaohang Li received "Rookie of the Year" young investigator award at North Carolina A&T State University in 2005 and Ralph E. Powe young faculty award in Computer Science and Mathematics from Oak Ridge Associated Universities (ORAU) in 2005. He is the recipient of an NSF CAREER Award in 2009.
Yaohang Li received "Rookie of the Year" young investigator award at North Carolina A&T State University in 2005 and Ralph E. Powe young faculty award in Computer Science and Mathematics from Oak Ridge Associated Universities (ORAU) in 2005. He is the recipient of an NSF CAREER Award in 2009.
He received the Ph.D. and M.S. degrees in Computer Science from the Florida State University in 2003 and 2000, respectively, and the B.S. degree in Computer Science and Engineering from the South China University of Technology in 1997. After graduation, he worked at Oak Ridge National Laboratory for a short period of time. He was a Summer Research Fellow at National Center of Supercomputing Applications (NCSA) in 2007 and a Summer Faculty Research Participation member at Oak Ridge National Laboratory in 2006 and 2008. Before joining ODU, he was an associate professor in the Computer Science Department at North Carolina A&T State University.
Posted By: Lori Barrett
Date: Thu Mar 26 08:27:08 EDT 2020