With the advent of the Internet, there has been an enormous explosion of data and the need to properly utilize the data towards decision making is the major challenge. Intelligence, be it natural or artificial, should be for social good. Natural intelligence as trivially known varies from one to another in terms of understanding and practicing; it trivially grows with experience. Artificial intelligence is the ability of a computing system to mimic the capabilities of a human mind in decision making, which is achieved by learning from examples and experience.
Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI is an interdisciplinary science with multiple approaches, and with advancements, it is creating a paradigm shift in virtually every sector of the industry.
We propose to conduct this symposium to emphasise that AI is not a technology for industry just to increase its RoI, but a powerful tool to aid the society for its advancements. In this symposium we aim to discuss and brainstorm some thematic areas where AI can be applied with use cases. Also, we aim to provide hands-on-training in technology that can help the software developers to acquaint themselves and prepare to contribute to social good.
AI can become a tool that enhances our quality of life at a personal, national, and global level. In this regard, we hope this symposium inspires new ideas and approaches that leverage support for basic AI research with opportunities to work with state and local governments and other nonprofit organizations.
We hope this three-day symposium and workshop would serve as an eye-opener for any student/researcher/industry personnel to choose AI as their career and contribute to the society and nation at large in this time when we are battling against a crisis.
This symposium will cover broadly the following themes
AI for Accessibility
AI for Smart Environments
AI for health and wellbeing
AI for Agriculture
AI for Autonomous Vehicles
AI for Surveillance and Safety
Will be updated soon
Dr. Bharat Jayaraman
Professor, Department of Computer Science and Engineering
University at Buffalo, New York
Dr. Jayaraman received his bachelors and masters degrees from the Indian Institute of Technology, Madras, and his doctorate in Computer Science from the University of Utah. He is a Professor in the Department of Computer Science and Engineering at the University at Buffalo, The State University of New York. He also served as CSE Department Chair at the University at Buffalo during 2001-09. Dr. Jayaraman's research centers around programing languages and software systems. He has published over 100 scientific articles. These papers are coauthored with his doctoral students and other research collaborators. His research has been supported by the National Science Foundation (NSF), Office of Naval Research (ONR) as well as the Fujitsu, IBM, and Xerox Foundations.
Dr. Rajkumar Elagiri Ramalingam
Chief Operating Officer & Principal Data Scientist
Indian Institute of Technology, Madras
Dr. Rajkumar Elagiri Ramalingam is currently the Chief Operating Officer & Principal Data Scientist at Indian Institute of Technology, Madras. Prior to joining IIT Madras, he was an Associate Professor at VIT University and Senior Architect at Robert Bosch Engineering and Business Solutions. Dr. Rajkumar did his M.Tech. in Biomedical / Medical Engineering with Distinction from Vellore Institute of Technology and Ph.D. in Electrical, Electronics and Communications Engineering from University of Rouen, France. He has several International publications and patents.
Vinod is a Distinguish Member Technical Staff and has over 22 years of experience in software development and product architecture. Vinod currently heads the open source and Blockchain security initiatives for the Cybersecurity practice at Wipro. He is an expert in Decentralized Identity, Blockchain Security and building open-source solutions. Vinod has extensive expertise in open-source and community led tools development, open-source licensing and re-engineering of products.
Professor, Engineering Design at IIT Madras
Dr. Ramanathan is currently a professor in the department of Engineering design at IIT Madras. Prior to joining IIT Madras, he was in Mechanical Engineering, Purdue university, USA, for his post-doctoral research and worked as a post-doctoral researcher in the department of computer science, Technion, Israel. Dr. Ramanathan did his M.Sc. (Engg) and Ph.D. from Indian Institute of Science, in the field of geometric modeling and CAD under the guidance of Prof. B. Gurumoorthy. His primary research interests are in the field of geometric/solid modeling and computational geometry. He has received best paper awards in premier international conferences on solid modeling and CAD. He has several International publications and patents.
Head of AI Services in TCS Analytics and Insights Unit
Tata Consultancy Services
Ms. Savita Kulkarni is presently working as the Head of AI Services in TCS Analytics and Insights Unit at Tata Consultancy Services. She has been working in the area of Data Warehousing, Business Intelligence and Knowledge Management since 1998 and in Big Data and Analytics since 2012. Ms. Savita started working in AI disciplines like Computer Vision, NLP, Learning, Knowledge Representation since 2017. She has been working for the last 25 years at TCS in various roles spanning Delivery Head, Solution Architect, Program Manager of large Data Management Programs and in Advisory Services. Ms. Savita Kulkarni completed her Bachelor of Engineering – BE – Computer Science from BVB College of Engineering and Technology, Hubli.