Machine Learning & Analytics: Applications in FinTech
This talk will explore the use of Machine Learning and analytics in the context of FinTech applications.
P.A. Subrahmanyam ("Subra") has been a Consulting Professor at Stanford University. He is also engaged in Management/Strategy/Technology consulting for startups, international corporations & investment firms (Venture Capital & Private Equity), and has served in various executive roles including Executive Chairman, CEO, CTO/CSO. His current interests include Security, IoT, Big Data, analytics & FinTech/Blockchain technologies. He has been instrumental in cross-national initiatives in the areas of Security, Wireless, Networking, Energy, & Bio/Medical informatics. Dr. Subrahmanyam is a strategic advisor to the Dean/CSE at NTU (Singapore); he has also been a Faculty collaborator at UC Berkeley & the Berkeley Wireless Research Center. He has earlier been a Fellow at Princeton University, Bell Labs, and held Visiting Professor/Advisory roles at ISI & NTU. Dr. Subrahmanyam has authored/coauthored over 210 technical papers, 5 books, received numerous awards, and has 14 international awarded/pending patents. He was the Founding Editor-in-Chief of Formal Methods in System Design, a premier journal in its field. He has also presented keynotes, tutorials and colloquia at conferences universities, & research laboratories worldwide. Affiliations Dr. Subrahmanyam has been a Chair/Co-Chair/member of several working groups, including Cloud Security Alliance Big Data WG & BlockChain WG; Cloud Infrastructure Security/Privacy & NIST SmartGrid working groups; the Wireless Innovation Forum (Handsets; Cognitive Radio); IFIP WG 10.2/10.5 on System Design; the Board of Directors of the American Institute of Big Data Professionals. He was the Chair of the IEEE Technical Committee on VLSI (92-97); a Distinguished Visitor of the IEEE Computer Society; and has served on several advisory boards, including the Princeton/New Jersey Center of Excellence for Embedded Systems and Systems-on-Chip design, IEEE, as well as boards of privately held corporations. Dr. Subrahmanyam is a Fellow of the IEEE.
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