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dc.contributor.authorPanchanathan, Sethuramanen_US
dc.contributor.authorBasu, Mitraen_US
dc.contributor.authorPrakash, B. Adityaen_US
dc.contributor.authorYin, Johnen_US
dc.contributor.authorTorrens, Paul M.en_US
dc.contributor.authorWigginton, Krista R.en_US
dc.date.accessioned2021-03-22T17:31:22Z
dc.date.available2021-03-22T17:31:22Z
dc.date.issued2021-02-22
dc.identifier.urihttp://hdl.handle.net/1853/64397
dc.descriptionPresented online February 22, 2021, 10:00 a.m.-10:30 a.m.en_US
dc.descriptionNational Symposium on Predicting Emergence of Virulent Entities by Novel Technologies (PREVENT) : What Advances In Science, Technology, And Human Behavior Will Enable Prediction And Prevention Of Future Pandemics?en_US
dc.descriptionThe Honorable Sethuraman Panchanathan is a computer scientist and engineer and the 15th director of the U.S. National Science Foundation (NSF). Panchanathan was nominated to this position by the President of the United States in 2019 and subsequently unanimously confirmed by the U.S. Senate on June 18, 2020. NSF is an $8.5B independent federal agency and the only government agency charged with advancing all fields of scientific discovery, technological innovation and STEM education. Panchanathan is a leader in science, engineering and education with more than three decades of experience. He has a distinguished career in both higher education and government, where he has designed and built knowledge enterprises, which advance research innovation, strategic partnerships, entrepreneurship, global development and economic growth. Panchanathan previously served as the executive vice president of the Arizona State University (ASU) Knowledge Enterprise, where he was also chief research and innovation officer. He was also the founder and director of the Center for Cognitive Ubiquitous Computing at ASU. Under his leadership, ASU increased research performance fivefold, earning recognition as the fastest growing and most innovative research university in the U.S. Prior to joining NSF, Panchanathan served on the National Science Board as chair of the Committee on Strategy and as a member of the External Engagement and National Science and Engineering Policy committees. Additionally, he served on the National Advisory Council on Innovation and Entrepreneurship. He was chair of the Council on Research of the Association of Public and Land-grant Universities and co-chair of the Extreme Innovation Taskforce of the Global Federation of Competitiveness Councils. Arizona's Governor appointed Panchanathan as senior advisor for science and technology in 2018. He was the editor-in-chief of the IEEE Multimedia Magazine and editor/associate editor of several international journals. Panchanathan's scientific contributions have advanced the areas of human-centered multimedia computing, haptic user interfaces, person-centered tools and ubiquitous computing technologies for enhancing the quality of life for individuals with different abilities; machine learning for multimedia applications; medical image processing; and media processor designs. He has published close to 500 articles in refereed journals and conference proceedings, and has mentored more than 150 graduate students, postdocs, research engineers and research scientists, many now occupy leading positions in academia and industry. For his scientific contributions, Panchanathan has received numerous awards, such as Distinguished Alumnus Awards and the Governor's Innovator of the Year for Academia Award for his development of information technology centric assistive and rehabilitative environments to assist individuals with visual impairments. Panchanathan is a fellow of the National Academy of Inventors, where he also served as vice president for strategic initiatives. He is also a fellow of the American Association for the Advancement of Science, the Canadian Academy of Engineering, the Association for Computing Machinery, the Institute of Electrical and Electronics Engineers and the Society of Optical Engineering. Panchanathan is married to Sarada "Soumya" Panchanathan, an academic pediatrician and informatician, who has taught medical students, pediatric residents and informatics fellows. They have two adult children, Amritha and Roshan.en_US
dc.descriptionDr. Mitra Basu joined NSF’s Computer Information Science and Engineering (CISE) Directorate in 2008 as the Lead Program Director for the Expeditions in Computing program – the Center scale program in CISE. During her tenure at NSF, she has served as acting Deputy Division Director in CISE. Mitra is a co-Lead for NSF PIPP Working Group.en_US
dc.descriptionDr. B. Aditya Prakash is an Associate Professor in the College of Computing at the Georgia Institute of Technology (“Georgia Tech”). He received a Ph.D. from the Computer Science Department at Carnegie Mellon University in 2012, and a B.Tech (in CS) from the Indian Institute of Technology (IIT) -- Bombay in 2007. He has published one book, more than 80 papers in major venues, holds two U.S. patents and has given several tutorials at leading conferences. His work has also received multiple best-paper/best-of-conference selections and travel awards. His research interests include Data Science, Machine Learning and AI, with emphasis on big-data problems in large real-world networks and time-series, with applications to epidemiology, health, urban computing, security and the Web. His work has been supported by the National Science Foundation (NSF), the Centers for Disease Control (CDC), the Department of Energy (DoE), the National Security Agency (NSA), the National Endowment for Humanities (NEH) and various companies. Tools developed by his group have been in use in many places including ORNL, the CDC, Walmart and Facebook. He received a Facebook Faculty Award in 2015, was named as one of ‘AI Ten to Watch’ 2017 by IEEE, and received the NSF CAREER award in 2018. His work has also been highlighted by many media outlets and popular press. He was previously on the faculty of Computer Science at Virginia Tech. He is a member of the infectious diseases modeling MIDAS network and core-faculty at the Center for Machine Learning (ML@GT) and the Institute for Data Engineering and Science (IDEaS) at Georgia Tech. Aditya’s Twitter handle is @badityap.
dc.descriptionDr. Paul M. Torrens is a Professor in Tandon's Department of Computer Science and Engineering and the Center for Urban Science + Progress at New York University. His work centers on the development and application of modeling and simulation tools for exploring and explaining complex urban systems, intricacies of behavior at the interface between cities and people, and emerging cyberinfrastructure for urban spaces and places. Torrens was the recipient of a Faculty Early Career Development Award from the National Science Foundation in 2007, and in 2008 George W. Bush presented him with the Presidential Early Career Award for Scientists and Engineers.en_US
dc.descriptionDr. Krista Rule Wigginton is an associate professor of Civil and Environmental Engineering at the University of Michigan. Prior to joining the faculty at UM, she was an assistant professor at the University of Maryland, College Park from 2011-2012. Her research focuses on applications of environmental biotechnology in drinking water and wastewater treatment. In particular, her research group develops new methods to detect and analyze the fate of emerging pollutants in the environment. Dr. Wigginton received her B.S. degree in Chemistry from the University of Idaho, and her M.S. and Ph.D. degrees in Environmental Engineering from Virginia Tech. After completing her Ph.D. degree, she worked as a postdoctoral researcher at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland from 2008-2011. Dr. Wigginton is a Co-Principal Investigator for the NSF grant award: Advancing Technologies and Improving Communication of Urine-Derived Fertilizers for Food Production within a Risk-Based Framework.en_US
dc.descriptionDr. John Yin is Professor of Chemical & Biological Engineering at the University of Wisconsin-Madison. He trained at Columbia University, earning dual bachelor’s degrees in the liberal arts and chemical engineering, while pursing cello studies at Juilliard School and piano studies at Columbia. Yin earned his PhD in chemical engineering at UC-Berkeley and pursued post-doctoral research as an Alexander von Humboldt Fellow working under Nobel laureate Manfred Eigen at the Max-Planck Institute for Biophysical Chemistry in Göttingen, Germany. He started his academic career as an assistant professor at the Thayer School of Engineering, Dartmouth College, where he was awarded an NSF Young Investigator Award and Presidential Early Career Award in Science and Engineering (PECASE). He moved to UW-Madison as associate professor with tenure in 1998 and was promoted to full professor in 2004. In his research Yin develops new experimental measures and computational models that aim to elucidate how viruses grow and how their infections spread. Yin has co-authored more than 70 publications in areas of computational and experimental molecular and cell biology, with an emphasis on virus-host interactions. He has further served on the NIH study section for Modeling and Analysis of Biological Systems (MABS). In 2009 Yin was selected to lead the Systems Biology Theme of the Wisconsin Institutes for Discovery, a joint public-private venture to promote cross-disciplinary research, education and outreach at the UW-Madison, and he was recently recognized with a Vilas Distinguished Achievement Professorship for 2015-2020. Yin plays a 1918 Andre Bernard cello, he earned a 1725 rating at the US Table Tennis Association Open in Las Vegas, and he is an enthusiastic convert to sous vide quantitative cooking.en_US
dc.descriptionRuntime: 39:09 minutesen_US
dc.description.abstractIn the last year, the ongoing COVID-19 pandemic has severely disrupted the livelihoods of our planet’s human inhabitants, infecting over 85 million individuals, and causing nearly 2 million deaths. What actions should have been taken to minimize the severity of this pandemic (and others before it in the past decades such as Zika, SARS and Ebola)? In retrospect, many actions could have played key roles: environmental monitoring for potential animal-to-human infection spillovers, establishment of pipelines for rapid vaccine development and optimal deployment and distribution, designing data science tools to accurately forecast trajectories, fast and adaptive syndromic surveillance and behavior tracking, designing and timing effective interventions, training susceptible individuals for measures needed to inhibit the spread of infectious agents, and others. What lessons have been learned and what gaps in our knowledge, methodologies, technologies, and policies remain?en_US
dc.description.sponsorshipNational Science Foundation (U.S.)en_US
dc.format.extent39:09 minutes
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesPREVENT Symposium ;
dc.subjectHumansen_US
dc.subjectInfectious agentsen_US
dc.subjectPandemicen_US
dc.titlePRedicting Emergence Of Virulent Entities By Novel Technologies (PREVENT) Symposium - Opening Remarks, Welcome Statement, and Technical Backgrounden_US
dc.typeLectureen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Data Engineering and Scienceen_US
dc.contributor.corporatenameGeorgia Institute of Technology. College of Computingen_US
dc.contributor.corporatenameNational Science Foundation (U.S.)en_US
dc.contributor.corporatenameNew York University. Center for Urban Science + Progressen_US
dc.contributor.corporatenameNew York University. Department of Computer Science and Engineeringen_US
dc.contributor.corporatenameUniversity of Michigan. Civil and Environmental Engineeringen_US
dc.contributor.corporatenameUniversity of Wisconsin--Madison. Chemical and Biological Engineeringen_US


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