Speakers


In order of presentation:

Modeling, Analysis, and Control Session Speakers

Urbashi Mitra

Biography

Urbashi Mitra is the Gordon S. Marshall Chair in Engineering and Professor of Electrical and Computer Engineering and Computer Science at University of Southern California. She received her Ph.D. in Electrical Engineering from Princeton University in 1994. She received the B.S. and the M.S. degrees from the University of California at Berkeley in 1987 (high honors) and 1989, respectively, both in Electrical Engineering and Computer Science. From 1994 to 2000, Dr. Mitra was an Assistant Professor in the Department of Electrical Engineering at The Ohio State University, Columbus, Ohio. She became an Associate Professor in 2000. Her research focuses on problems in communication theory, information theory, and signal processing.

John R. Birge

Biography

John R. Birge is Hobart W. Williams Distinguished Service Professor of Operations Management at the University of Chicago Booth School of Business. He earned a bachelor's degree in mathematics from Princeton University in 1977 and a master's degree and a PhD in operations research from Stanford University in 1979 and 1980, respectively. He is the recipient of the Best Paper Award from the Japan Society for Industrial and Applied Mathematics, the Institute for Operations Research and the Management Sciences Fellows Award, the Institute of Industrial Engineers Medallion Award and was elected to the National Academy of Engineering. He studies mathematical modeling of systems under uncertainty, especially for maximizing operational and financial goals using the methodologies of stochastic programming and large-scale optimization.

Atte Aalto

Biography

Atte Aalto did his PhD on mathematical control theory in Aalto University in Finland, graduating in 2014. He was a postdoc at INRIA in France before joining the Luxembourg Centre for Systems Biomedicine in 2016. Normally, he works on gene expression modelling, but since the spring of 2020, he has been actively involved in Luxembourg's COVID-19 task force.

Francesca Parise

Biography

Francesca Parise is an assistant professor in the School of Electrical and Computer Engineering at Cornell University. Prior to that, she was a postdoctoral researcher at the Laboratory for Information and Decision Systems at MIT. She defended her PhD at the Automatic Control Laboratory, ETH Zurich, Switzerland in 2016 and she received the B.Sc. and M.Sc. degrees in Information and Automation Engineering in 2010 and 2012, from the University of Padova, Italy, where she simultaneously attended the Galilean School of Excellence.

Francesca was recognized as an EECS rising star in 2017 and is the recipient of the Guglielmo Marin Award from the “Istituto Veneto di Scienze, Lettere ed Arti”, the SNSF Early Postdoc Fellowship, the SNSF Advanced Postdoc Fellowship and the ETH Medal for her doctoral work.

Battling Covid-19 with Transdisciplinary Teams Session Speakers

Fernando Paganini

Biography

Fernando Paganini received degrees in both Electrical Engineering and Mathematics from Universidad de la República, Uruguay (1990), and his MS (1992) and PhD (1996) degrees in Electrical Engineering from the California Institute of Technology, Pasadena. From 1996 to 1997 he was postdoctoral associate at MIT. Between 1997 and 2005 he was on the faculty of the Electrical Engineering Department at UCLA, reaching the rank of Associate Professor. Since 2005 he is Professor of Engineering at Universidad ORT Uruguay, and currently Associate Dean of Research.

Dr. Paganini has received the 1995 O. Hugo Schuck Best Paper Award, the 1999 Packard Fellowship, the 2004 George S. Axelby Best Paper Award, and the 2010 Elsevier Scopus Prize. He is a member of the Uruguayan National Academies, both in Science and in Engineering, and a member of the Latin American Academy of Sciences. He is a Fellow of the IEEE, and has served in Editorial boards of IEEE journals in his fields of interest: control and networks. In 2020-21 he served as one of the three coordinators of the Honorary Scientific Advisory Group advising the Uruguayan President on the COVID-19 pandemic.

Ian Pytlarz

Biography

Ian Pytlarz is the Lead Data Scientist for the Institutional Data Analytics + Assessment at Purdue University. He received his M.S. in Computer Science and Statistics from Purdue University in 2015. He received his B.S. in International Management at Carnegie Mellon University in 2009. He has led the Protect Purdue data science efforts to curb the spread of COVID-19 on Purdue Campus and successfully keep the university open for the 2020-2021 academic year.

Mathukumalli Vidyasagar

Biography

Mathukumalli Vidyasagar is SERB National Science Chair and Distinguished Scientist at the Indian Institute of Technology Hyderabad, India. He received his Ph.D. from Wisconsin and has held positions in academia, industry, and government. He has published 13 books and more than 150 journal articles. His most recent research interests are in compressed sensing, reinforcement learning, and modelling of the COVID-19 pandemic.

Ahmed Elbanna

Biography

Ahmed Elbanna is is an Associate Processor at the University of Illinois at Urbana-Champaign in the Civil & Environmental Engineering Department. Ahmed E. Elbanna received a Ph.D. in civil engineering and an M.S. in applied mechanics (2006) from the California Institute of Technology, and an M.S. in structural engineering in 2011, 2006, and 2005, respectively. He received his B.S. in civil engineering (2003) from Cairo University. He received the National Science Foundation CAREER award in 2018, Fellowship of the National Center of Supercomputing Applications in 2015, the George Housner Fellowship, California Institute of Technology in 2005, and a Certificate of Honor, National Ceremony of Science, Egypt in 2004.

Alexander Medvedev

Biography

Alexander Medvedev is Professor of Control Engineering, Director of Program in Automatic Control, and Professor in Charge for PhD program in Automatic Control at Uppsala University. He received his Ph.D. and M.Sc. with honors in control theory from the Leningrad Electrical Engineering Institute in 1987 and 1981, respectively. He is the Chair of the IEEE CSS Technical Committee on Healthcare and Medical Systems. His research interests include parameter and state estimation in nonlinear and hybrid dynamic systems in the context of endocrine systems, human smooth pursuit, model-based drug delivery, and deep brain stimulation.