BEGIN:VCALENDAR METHOD:PUBLISH PRODID:-//Apple Computer\, Inc//iCal 1.0//EN X-WR-CALNAME;VALUE=TEXT:USC VERSION:2.0 BEGIN:VEVENT DESCRIPTION:Speaker: Dr. Sunil Kumar Vuppala, Director, Data Science, Ericsson Talk Title: Causal Dependencies in Multivariate Time Series Abstract: The talk starts with a motivation for casual analysis. Correlation does not imply causation. Similarly, lack of correlation does not imply lack of causation. How can we detect causality in complex systems such as telecom networks? The talk covers 3Wh of Causality (What, why, where). It covers taxonomy of time series casual discovery, an overview of the methods and techniques such as Granger causality, Convergent Cross Mapping, information theoretic approaches, graphical approaches and ML approaches. How can we connect any observed event to possibly a set of specific causal events? Why do we need counterfactual interventions for causal intensity? The talk describes the relevance of causality in telecom domain and cover a few use cases in telecom such as Key Performance Indicator (KPI) degradation and outlier root cause analysis and hardware failures. The speaker will share sample results from simulated experiments. He will introduce a few active research topics in this space. Biography: Dr. Sunil Kumar Vuppala is the Director -“ Data Science, Ericsson Global AI Accelerator (GAIA), Bangalore. Dr. Vuppala has 18 years of industrial and research experience in Machine learning, Deep learning, Analytics, Internet of Things, and Automation. Sunil worked in Oracle, Infosys R&D, and Philips Research before joining Ericsson. He is the inventor of 35+ patents (6 US granted and 30+ published), has published 30+ papers, and delivered 100+ guest lectures. Dr. Vuppuala is a senior member of ACM, IEEE, and a fellow of IETE and IEI. He is one of the Top 10 data scientists in India for 2019, recipient of Zinnov Technical Role Model in Emerging Technology award 2020, IEEE TEMS Engineering Manager of the Year 2020, and ACM distinguished speaker. Dr. Vuppula is an alumnus of premier institutes in India. He is a visiting faculty at Case Western Reserve University, USA. \n Host: Urbashi Mitra More Info: https://usc.zoom.us/j/94255391488 pwd=cGoyOVoxWnc3K1RTeVcvYjlWOEJPQT09 Meeting ID: 942 5539 1488 Passcode: 114454 SEQUENCE:5 DTSTART:20221102T100000 LOCATION: https://usc.zoom.us/j/94255391488 pwd=cGoyOVoxWnc3K1RTeVcvYjlWOEJPQT09 Meeting ID: 942 5539 1488 DTSTAMP:20221102T100000 SUMMARY:Virtual seminar Causal Dependencies in Multivariate Time Series UID:EC9439B1-FF65-11D6-9973-003065F99D04 DTEND:20221102T230000 END:VEVENT END:VCALENDAR