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University Distinguished Lecture Series 02: Prof N Balakrishnan on Data to Discovery in Information Security
October 31, 2020 @ 3:00 pm - 4:00 pm
SRM University-AP, Andhra Pradesh has arranged the University Distinguished Lecture Series 02 on October 31, 2020 at 3 PM. Prof N Balakrishnan, Super Computer Education and Research Centre, Honorary Professor, Indian Institute of Science (IISc.), Bengaluru will be delivering a lecture on Data to Discovery in Information Security during the webinar. The guest speaker is a visiting professor at Jawaharlal Nehru Centre for Advanced Scientific Research, Institute for Software Research International, and Carnegie Mellon University. Also, he is the director of the Indian Institute of Information Technology and Management, Industrial Finance Corporation of India, Bharat Sanchar Nigam, and the Data Security Council of India. The Government of India honoured him with the civilian award of Padma Shri in 2002.
Presently, Prof N Balakrishnan is heading the National Supercomputing Mission of India approved by the Government of India. In addition, he is a former member of the National Security Advisory Board and the Telecom Regulatory Authority of India along with being the former Deputy Managing Director of El Forge Ltd. Further, he held the posts of a director at C-DOT Alcatel Lucent Research Centre, Bharat Electronics, and Central Bank of India. Most prominently, Prof N Balakrishnan is renowned for his contribution in the establishment of the National Centre for Science Information, and Supercomputer Education Research Centre, in 1984, and 1994 respectively, at the Indian Institute of Science.
During his lecture, Prof N Balakrishnan will focus on demonstrating the use of Artificial Intelligence (AI) and Machine Learning (ML) in discovering the ever-increasing quantity of data in computer networks. Splitting his lecture into two segments, Prof N Balakrishnan will initiate the session by describing the concept “Revenge of Silicon” that clearly establishes the inevitability of the birth of big data and AI. Further, he will share insights regarding his research on the use of ML in handling large volumes of network data to enhance the performance of Intrusion Detection Systems, detecting structured botnets at infrastructure level traffic, malware detection, and classification for offline and online streaming data. Proceeding with the talk, he will dedicate the second half of his lecture in explaining Influence maximization and mobility, and churn prediction for a large population of a city which depend on large volumes of data from social media and Call Data Records (CDR). These concepts have significance in establishing smart cities, smart businesses, and smart economy.
Registration Link : https://bit.ly/srmapUDL02 (Registration Closed)