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WEBINAR SERIES: Digital Technologies for COVID-19
Fri, May 01, 2020 @ 11:00 AM - 12:00 PM
Information Sciences Institute, USC Viterbi School of Engineering
University Calendar
Our third webinar will feature a double-header of talks by researchers from USC Viterbi's Information Sciences Institute. The first talk will cover work by Pedro Szekely on a knowledge graph for COVID-19 papers, and the second talk will cover work by Jay Pujara on rapidly responding to COVID-19 using knowledge graphs.
Please find abstracts for these talks as well as the speaker bios below:
Talk 1: A Knowledge Graph Integrating Annotations On 44,000 COVID-19 Scientific Articles
Pedro Szekely
Abstract: The COVID-19 Open Research Dataset (CORD-19), compiled by the Allen Institute for AI is a free resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19 and the coronavirus family of viruses. At the ISI Center On Knowledge Graphs we are working to enrich this corpus with annotations obtained using multiple state of the art information extraction tools, bioinformatics databases, and multiple graph and network analytics. These tools are difficult to run and produce outputs in different formats, making it difficult for COVID-19 researchers to use them. We are building a knowledge graph that integrates the outputs of these tools and databases in a simple data model that we provide in multiple formats (TAB-separated, RDF/SPARQL and Neo4J) to facilitate use of the corpus annotations. Our current release enriches the CORD-19 corpus with gene, chemical, disease and taxonomic information from Wikidata and CTD databases, as well as entity extractions from Professor's Heng Ji BLENDER lab at UIUC. In the next releases we will also integrate extractions from the Reach project at University of Arizona and others.
Bio: Dr. Pedro Szekely (Ph.D. Carnegie Mellon 1987) is a Principal Scientist and Research Director of the Center on Knowledge Graphs at the USC Information Sciences Institute (ISI), and a Research Associate Professor at the USC Computer Science Department. Dr. Szekely's research focuses on algorithms and tools for rapid construction of domain-specific knowledge graphs. The tools developed in his group have been used in several DARPA and IARPA projects to construct knowledge graphs in cyber security, causal exploration, hypothesis generation and forecasting of geo-political events, and has been used by law enforcement agencies to identify victims of human trafficking and to build legal cases against the traffickers. Dr. Szekely teaches a graduate course at USC on Building Knowledge Graphs, and has given tutorials on knowledge graph construction at KDD, ISWC, AAAI and WWW.
Talk 2: Rapidly Responding to COVID-19 Using Knowledge Graphs
Jay Pujara
Abstract: Responding to the COVID-19 pandemic has created a need to navigate vast amounts of information and quickly make decisions. I will describe how knowledge graphs, structured repositories capturing interconnected information, can help quickly adapt to new circumstances. To illustrate the value of these techniques, I will describe two active projects in our research group. The first allows experts to sift through thousands of research papers and identify scientific results that are likely to be reproducible. The second helps manufacturers adapt their supply chains to develop health and safety projects. Both projects are the result of analyzing terabytes of data and developing a succinct representation that can help answer questions with rich information.
Bio: Jay Pujara is a research assistant professor of Computer Science at the University of Southern California and a research lead at the Information Sciences Institute whose principal areas of research are machine learning, artificial intelligence, and data science. He completed a postdoc at UC Santa Cruz, earned his PhD at the University of Maryland, College Park and received his MS and BS at Carnegie Mellon University. Prior to his PhD, Jay spent six years at Yahoo! working on mail spam detection and user trust, and he has also worked at Google, LinkedIn and Oracle. Jay is the author of over thirty peer-reviewed publications and has received four best paper awards for his work. He is a recognized authority on knowledge graphs, and has organized the Automatic Knowledge Base Construction (AKBC) and Statistical Relational AI (StaRAI) workshops, presented tutorials on knowledge graph construction at AAAI and WSDM, and had his work featured in AI Magazine. For more information, visit https://www.jaypujara.org
Series co-hosted by:
Craig Knoblock, Executive Director, USC Information Sciences Institute
Bhaskar Krishnamachari, Director, USC Viterbi Center for CPS and IoT
WebCast Link: https://usc.zoom.us/webinar/register/WN_SnVYd9ONQgyYeLWiI8qtMA
Audiences: Everyone Is Invited
Contact: Bhaskar Krishnamachari
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
AI for COVID-19 in LA (Virtual Symposium)
Fri, May 08, 2020 @ 10:00 AM - 04:00 PM
Information Sciences Institute, USC Viterbi School of Engineering
University Calendar
Machine Learning Center (MaSCle) and Center for Artificial Intelligence in Society (CAIS) proudly present: AI for COVID-19 in LA, a virtual symposium highlighting the role of data science and artificial intelligence in the evolving pandemic.
COVID-19 is fundamentally changing societies, businesses, and governments around the world. With lock downs and other restrictions in place, and daily lives becoming virtual, the evolving situation has underscored the role of data science to analyze and develop insights into how resources and information are shaping our well-being.
Join us as we bring together experts and leaders from the field of data science and artificial intelligence to seed research directions, reveal insights, and help communities across the world.
This is a free virtual event, but registration is required.
For further inquiries contact us at AI4COVID@gmail.com
https://www.eventbrite.com/e/ai-for-covid-19-in-la-virtual-symposium-tickets-103861213686
WebCast Link: https://www.eventbrite.com/e/ai-for-covid-19-in-la-virtual-symposium-tickets-103861213686
Audiences: Everyone Is Invited
Contact: Christina Loredo
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
WEBINAR SERIES: Digital Technologies for COVID-19
Fri, May 29, 2020 @ 11:00 AM - 12:00 PM
Information Sciences Institute, USC Viterbi School of Engineering
University Calendar
Our next webinar in the continuing series will feature a double-header of talks as well. First, Prof. John Heidemann from USC Viterbi's Information Sciences Institute will present his work analyzing Internet traffic during the COVID-19 outbreak. Then, Dr. Animesh Pathak, a Viterbi industry alum who heads R&D and Engineering at myKaarma, will discuss the experiences of an automobile business software company in addressing unique challenges posed by COVID-19.
Talk 1: A First Look at Measuring the Internet during Novel Coronavirus to Evaluate Quarantine (MINCEQ) -- by John Heidemann
Abstract: Measuring the Internet during Novel Coronavirus to Evaluate Quarantine (RAPID-MINCEQ) is a project to measure changes in Internet use during the COVID-19 outbreak of 2020.
Today social distancing and work-from-home/study-from-home are the best tools we have to limit COVID's spread. But implementation of these policies varies in the US and around the global, and we would like to evaluate participation in these policies.
This project plans to develop two complementary methods of assessing Internet use by measuring address activity and how it changes relative to historical trends. Changes in the Internet can reflect work-from-home behavior. Although we cannot see all IP addresses (many are hidden behind firewalls or home routers), early work shows changes at USC and ISI.
This project is support by an NSF RAPID grant for COVID-19 and just began in May 2020, so this talk will discuss directions we plan to explore.
Bio: John Heidemann is a principal scientist at the University of Southern California/Information Sciences Institute (USC/ISI) and a research professor at USC in Computer Science. At ISI he leads the ANT (Analysis of Network Traffic) Lab, studying how to observe and analyze Internet topology and traffic to improve network reliability, security, protocols, and critical services. He is a senior member of ACM and fellow of IEEE.
Talk 2: Tales from the field: addressing COVID-19 challenges from the perspective of automotive business software -- by Animesh Pathak
Abstract: COVID-19 caught everyone by surprise, including businesses that have traditionally relied on in-person contact to serve their customers. In the view of changing social norms and new social distancing safety guidelines, many businesses have had to quickly pivot or risk closing down.
In this talk, I will share observations from the US and Canadian automotive dealership industry's efforts to overcome these new challenges, and the resulting process and software changes that had to be made to enable their vision, including the recent "Mobile Service" initiative by a major luxury automotive brand. I will share a glimpse of the various interesting system-building and computer science problems arising from the new reality that is here to stay, and the resulting opportunities for real-world impact to livelihoods of workers.
Bio: Dr. Animesh Pathak is the Head of R&D and Head of Engineering at myKaarma, where he is responsible for the overall reliability, scalability, and security of myKaarma products in the areas of unified communication, payments, video inspections, scheduling, and logistics for Automotive OEMs and Dealerships in the US and Canada. myKaarma is headquartered in Long Beach, California, with offices in Canada and India.
Previously, Dr. Pathak was a Research Scientist at Inria in Paris. He received his Ph.D in Computer Engineering from the Viterbi School of Engineering at USC, and the B.Tech. degree in Computer Science and Engineering from the Indian Institute of Technology, Banaras Hindu University (IIT BHU), where he was awarded the Institute Gold Medal.WebCast Link: https://usc.zoom.us/webinar/register/WN_bS2IGZDMTw2aymiLaBAzIw
Audiences: Everyone Is Invited
Contact: Bhaskar Krishnamachari
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
