Prof. Anurag Kumar
Keynote and Plenary Talks
Bio: Professor Anurag Kumar obtained his B.Tech. degree from the Indian Institute of Technology at Kanpur, and the PhD degree from Cornell University, both in Electrical Engineering. He was then with Bell Laboratories, for over 6 years. He returned to India in 1988, and has since been with the Indian Institute of Science (IISc), Bangalore, on the faculty of the Department of Electrical Communication Engineering. Before taking over as the Director, on 1 August 2014, he was the Chair of the Electrical Sciences Division since 2007. From 1988 to 2003 he was the Coordinator at IISc of the Education and Research Network Project (ERNET), a UNDP and Government of India collaborative national program that established India’s first wide-area packet switching network.
His area of research is communication networking, specifically, modeling, analysis, control, and optimisation problems arising in communication networks and distributed systems. Recently his research has focused primarily on wireless networking. In addition to many publications in top venues, he has co-authored two books: Communications Networking: An Analytical Approach, and Wireless Networking, both published by Morgan Kaufman (Elsevier), and co-authored with D. Manjunath and Joy Kuri.
He was the 1977 President’s Gold Medallist in IIT Kanpur. He received the IISc Alumni Award for Excellence in Engineering Research for 2008. He has been elected Fellow of the IEEE, the Indian National Science Academy (INSA), the Indian National Academy of Engineering (INAE), the Indian Academy of Science (IASc), and The World Academy of Sciences (TWAS). During the period 2005-2009, he was an area editor for the IEEE/ACM Transactions on Networking. He is a J.C. Bose National Fellow, awarded by the Department of Science Technology, for the period 2011-2021.
Bottom-up meets top down: An Integrated Approach for Future High Performance CMOS & Sensor Technologies
Complementary Metal Oxide Semiconductor (CMOS) technologies are driving the Integrated Circuit (IC) markets. The conventional IC and the Micro-Electro-Mechanical System (MEMS) technologies usually employ top-down fabrication methodologies for high volume manufacturing. However, as the CMOS technologies are scaled down, there are many challenges owing to the variability, reliability and power issues. Similarly, though MEMS inertial sensors are sold in large volumes, the application of MEMS technologies for gas and bio-sensing is still ridden with reliability and selectivity issues. Some of these issues in CMOS & MEMS technologies can be better addressed by employing a host of bottom up nanotechnology/biotechnology approaches through innovative process integration strategies. Further, in the current era of ‘More than Moore’ scaling, integration of diverse components/functionalities/processes on the chip dominates the technology roadmap rather than packing of more transistors on the die. This calls for an intelligent integration of diverse technologies, materials and processes on the same die for realization of future smart systems. Using examples -, we will see how self-assembled monolayers can help extend the CMOS technology roadmap and help realize the future sensors needed for the Internet of Things Applications.
Dr. V. Ramgopal Rao is currently the Director, IIT Delhi. Before joining IIT Delhi as the Director in April 2016, Dr. Rao served as a P. K. Kelkar Chair Professor for Nanotechnology in the Department of Electrical Engineering and as the Chief Investigator for the Centre of Excellence in Nanoelectronics project at IIT Bombay. Dr. Rao has over 400 publications in the area of Electron Devices & Nanoelectronics in refereed international journals and conference proceedings and is an inventor on 38 patents and patent applications, including 13 issued US patents. Ten of his patents have been licensed to industries for commercialization. He is a co-founder of two deep technology startups – NanoSniff Technologies Pvt. Ltd. And Proximal SoilSens Technologies Pvt. Ltd. at IIT Bombay which are developing products in the area of homeland security and agricultural sensor applications. Dr. Rao is a Fellow of IEEE, a Fellow of the Indian National Academy of Engineering, the Indian Academy of Sciences, the National Academy of Sciences, and the Indian National Science Academy.
Prof. Rao’s work is recognized with many awards and honors in the country and abroad. He is a recipient of the Shanti Swarup Bhatnagar Prize in Engineering Sciences in 2005 and the Infosys Prize in 2013. Dr. Rao also received the Swarnajayanti Fellowship award from the Department of Science & Technology, IBM Faculty award, Best Research award from the Intel Asia Academic Forum, Techno-Mentor award from the Indian Semiconductor Association, DAE-SRC Outstanding Research Investigator award, NASI-Reliance Platinum Jubilee award, J. C. Bose National Fellowship, Prof. C.N.R.Rao National Nanoscience award, VASVIK Award and the Excellence in Research Award from IIT Bombay. Prof. Rao was an Editor for the IEEE Transactions on Electron Devices during 2003-2012 for the CMOS Devices and Technology area and currently serves on the Editorial boards of various other international journals. He is a Distinguished Lecturer, IEEE Electron Devices Society and interacts closely with many semiconductor industries both in India and abroad.
For more information about Prof. Rao’s current research interests and a list of publications visit: http://www.ee.iitb.ac.in/~rrao/
Dr. V. Ramgopal Rao, IIT Delhi
Fellow IEEE, FNAE, FNA, FASc, FNASc
Dr. Aloknath De
Abstract: With rapid expansion of IoT sensors and devices, the sheer amount of data being created by then will increase to a gigantic level. Sieving through terabytes of machine data to create high-value insights and meaningful intelligence will be one key step behind IoT’s success. In fact, if the data analysis is not done correctly, it can play havoc in IoT context. Machine learning techniques significantly help an IoT system to learn from data rather than follow only explicitly programmed instructions. Similarities, correlations and abnormalities need to be quickly identified based on regular streams of data and learning system dynamics. In this presentation, we will highlight how AI can change the dynamics of IoT adoption in the society.
Bio: Dr. Aloknath De is Corporate Vice President of Samsung Electronics, S.Korea and Chief Technology Officer of Samsung R&D Institute India (SRI-B). Dr. De has over thirty years of industrial and research experiences including BEL, Nortel (Montreal), Hughes and with ST-Ericsson where he was R&D Director and Country Manager. During 2005-11, he has served as Visiting/Adjunct Professorship with IIT-Roorkee and IIT-Delhi. He holds B.Tech. from IIT, Kharagpur; M.E. from IISc, Bangalore; and Ph.D. from McGill University, Montreal. He is a recipient of ‘Alexander Graham Bell Prize’ in Canada. He has received ‘IETE Memorial Awards’ for distinguished contributions in Electronics and Communications. He also received IDC Insights Award for Innovation in Telecom (2015), Zinnov ‘Intrapreneurship of the Year’ award (2016) and has been considered as one of ‘Most Influential CIO/CTOs of India’. He is a Senior Member of IEEE and a Fellow of IE, IETE and Indian National Academy of Engg (INAE). He is also cited in Marquis’ Who’s Who in the World (2016). He promotes science and technology linkage and is actively involved in patenting intellectual property, collaborating with startup companies and building innovative products.
AI meets IoT: real world challenges and solutions
Abstract: The merger of AI and IoT is enabling unprecedented visibility into the state of environments and physical assets. While the merger promises impactful and transformative solutions, there are several practical challenges –like device cost, privacy, and deployment complexities — that must be addressed for these solutions to become practical and scalable. In this talk, we will use examples drawn from three domains – smart buildings, retail, and precision agriculture — to illustrate these challenges and the interesting research problems that these challenges engender.
Bio: Sriram Raghavan is Vice President, IBM Research and CTO, IBM India. In this role is he is responsible for establishing and executing the technical agenda of the IBM Research Lab in India and the IBM Research Center in Singapore. In addition, as CTO, Sriram is responsible for representing and communicating IBM’s overall technical vision & strategy with key stakeholders across the India/South Asia ecosystem – from developers and startups to key clients, analysts, media, and industry experts.
Over the past two years, Sriram has established and grown IBM Research-India into a world class center of competency for blockchain, driving both deep technology innovations and first of a kind blockchain-based solutions. Sriram serves as the worldwide blockchain leader for IBM Research, working closely with IBM’s industry platforms and global services businesses to take innovative blockchain solutions to clients across the globe. Prior to his current role, Sriram led the Information & Analytics Department at IBM Research-India, establishing new research directions at the intersection of large scale data management, text analytics, and distributed systems. Sriram has been with IBM since 2004 when he first joined the Almaden Research Center in San Jose, California, as a Research Staff Member. Sriram is an alumnus of the Indian Institute of Technology, Chennai and Stanford University.
Dr. Sriram Raghavan,
Prof. K. V. S. Hari
Title: Emerging MIMO Wireless Communication Systems
Abstract: Ubiquitous MIMO wireless communication systems catering to the needs of varied applications are shaping the next generation wireless standards. The emergence of autonomous systems like autonomous land vehicles and drones and Cyber-physical systems have challenged engineers to develop novel MIMO systems. In this talk, we will first consider the challenges of developing a communication system for drone-to-ground links. As a first step, experiments to model the wireless channels for such links are being carried out in IISc and preliminary channel models based on these measurements will be presented in the talk. The next part of the talk will focus on spatial modulation/index modulation techniques where the information is coded as indices of antennas using very few RF transceiver chains thereby reducing the power consumption of the systems which can lead to the design of green communication networks.
Bio: K. V. S. Hari received the B.E. degree from Osmania University(1983); the M.Tech. degree from the Indian Institute of Technology Delhi (1985); the Ph.D. degree from the University of California at San Diego (1990).
His research interests include the development of signal processing algorithms for MIMO wireless communication systems, sparse signal recovery problems, indoor positioning, assistive technologies for the elderly, autonomous navigation systems and neuroscience. During his work at Stanford University, he worked on MIMO wireless channel modelling and is the co-author of the WiMAX standard on wireless channel models for fixed-broadband wireless communication systems, which proposed the Stanford University Interim (SUI) channel models.
Since 1992, he has been with the Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India, where he is currently a Professor and coordinates the activities of the Statistical Signal Processing Laboratory. He has been a Visiting Faculty Member at Stanford University, Stanford, CA, USA(1999-00); Affiliated Professor at KTH-Royal Institute of Technology, Stockholm, Sweden (2010-16); and Aalto University Espoo, Finland (formerly Helsinki University of Technology), He also worked at DLRL, Hyderabad, and at the Research and Training unit for Navigational Electronics, Osmania University.
He served as an Editor of Elsevier’s EURASIP Journal Signal Processing (2006-16) and is the Senior Associate Editor of Springer’s Indian Academy of Sciences Journal, Sadhana.
He is a Fellow of IEEE and Fellow of INAE and currently a member of the Board of Governors of the IEEE Signal Processing Society as the Regional Director-at-Large (Asia – Pacific Region)