Dr. Sudhir Kumar Mishra
CEO & MD, BrahMos Aerospace,
Distinguished Scientist and Director General (BrahMos), DRDO
Brief Biography: Dr. Sudhir Mishra, DS & Director General and CEO & MD, BrahMos Aerospace
Dr. Sudhir Mishra, Distinguished Scientist & Director General
(BrahMos), DRDO, Ministry of Defence and CEO&MD, BrahMos
Aerospace, an India-Russia Joint Venture, is a Graduate of
Government Engineering College, Jabalpur, M.Tech. in
Mechanical Engineering from Indian Institute of Technology,
Madras and Ph.D. from National Institute of Technology,
Warangal. He has contributed immensely in India's quest to
achieve excellence in Missile technologies. His technical
expertise and contribution has resulted in the realisation of several DRDO Missile
Programmes. As CEO&MD, BrahMos Aerospace, he is responsible for the design,
development, production and product support encompassing complete Product Life
Cycle of BrahMos Weapon System. He has guided "Team BrahMos" in design,
development, modernising and upgrading BRAHMOS missile to achieve newer
capabilities and versions for Land to Land, Sea to Land and Air to Sea/Land and
conducted flight test for extended range. His leadership and guidance has led to
successful flight test of BrahMos Supersonic Cruise Missile from Sukhoi-30 MKI
fighter aircraft against Sea target resulting in historic achievement of India becoming
first country in the world to have such unique capability.
His defence diplomatic skills have resulted in the culmination of several defence R&D projects with friendly countries within the framework of foreign policy and defence cooperation. He has visited Russia, Israel, France, Holland, Switzerland, Pakistan, South Africa, United Kingdom, Malaysia, Vietnam, UAE, Indonesia, Philippines & Japan to enhance bilateral cooperation in the field of defence technologies.
He is academician of Russian Academy of Cosmonautics and awarded with Honorary Doctorate by People’s University, Bhopal and Fellow of Aeronautical Society of India, Institution of Engineers (India), the Institution of Electronics and Telecommunication Engineers (IETE), Indian Institution of Production Engineers and Centre for Excellence in Project Management, New Delhi. He is a member of many national and international professional societies.
He has been awarded with the “DRDO Scientist of the Year Award” by the Prime Minister of India, “Distinguished Alumnus Award-2018” by IIT, Madras, IIM-TATA Gold Medal Award by Indian Institute of Metals, Kolkata, “Madhya Pradesh Gaurav Samman” by Chief Minister of Madhya Pradesh, “Distinguished Alumni Award” by Government Engineering College, Jabalpur, “Super CEO Award” by The Machinist, Times of India Group, “Vigyan Pratibha Samman” by Council of Science & Technology, Govt. of Madhya Pradesh“, “Life Time Achievement Award” by Sriram College of Engineering & Technology, Jabalpur.
Prof. Yasushi Yamaguchi
University of Tokya, Japan
Title: Geometric Modeling and Image Processing as Visual Informatics
Abstract: Vision is the most significant in five human senses. It is said that more than 70 percent of our brain activity is used for vision sensory processing. Therefore, visual informatics is one of the most important information and communication technologies. Our laboratory in the Graduate School of Arts and Sciences of the University of Tokyo has been studying geometric modeling and image processing as visual informatics. This talk introduces some of our results in the last several years, such as elasticity design of shapes, double tiling origami, developable surface approximation, relighting illustrations, painterly-style rendering, image/video editing, facial image manipulation, hybrid image, visual cryptography.
Brief Biography: Yasushi Yamaguchi received a B.E. in Precision Machinery Engineering and a Dr. Eng. in Information Engineering from the University of Tokyo in 1983 and 1988, respectively. He was an assistant professor at Tokyo Denki University from 1989. He moved to the University of Tokyo in 1993 as an associate professor and has been a professor since 2002. His research interests lie in image processing, computer graphics, and visual illusion, including hybrid images, visual cryptography, computer-aided geometric design, volume visualization, and image/video editing. He was a president of JSGS (Japan Society for Graphic Science) from 2013 to 2017 and is currently serving as a president of ISGG (International Society for Geometry and Graphics). He is also a member of SPIE, ACM SIGGRAPH, and IEEE Computer Society.
Prof. Vinod Sharma
IISc, Bangalore, India
Title: Modelling and analysis of communication systems with energy harvesting.
Abstract: We will present our results on sensor networks where the sensor motes are powered by solar cells and on green communication where the base station and/or cell phones harvest energy from the environment.
In sensor networks, using solar cells removes the major constraint of small battery power and replaces it with unlimited but unreliable solar power. This requires fundamental changes in the design of algorithms and protocols for sensor networks. For green communications, we will first highlight the issues involved and then explain how energy harvesting can help. The Indian scenario will be discussed. In this context we will also present the fundamental limits of information transmission for such systems.
Brief Biography: Prof. Vinod Sharma completed BTech from IITD in 1978 and Phd from Carnegie Mellon Univ in 1984. After teaching in Northeastern Univ and UCLA, he joined IISc Banglore in 1988. He was chairman of ECE Dept at IISc Banglore from 2006 to 2011. Currently he is TATA-Chem chair professor at IISc Banglore. His research interests are in wireless communication and information theory.
Prof Sharma received the CDAC-ACCS foundation award in 2011, NCC best paper award in 2010 and Rustom-Choksi award for excellence in research from IISc in 2017.
Ms. Lipika Behl
Chief Engineer (Scientific Officer-H+)
Nuclear Power Corporation of India Limited, Department of Atomic Energy (DAE)
Title: Role of NPCIL Simulation technologies in Nation Building
Abstract: India is one among the fastest developing nations in the world. Power infrastructure is the main fuel for
any countries’ growth. NPCIL, Nuclear Power Corporation of India Limited supports countries power
infrastructure growth by proactively engaging in design, construction, commissioning and operation of
nuclear power reactors in India. Long term economic viability of a nuclear power plant is based on
operational safety and optimized use of our critical assets, both plant and its operators. A replica
operator training simulator with replicated panels and control room environment fulfills all the long
term viability requirements; creating capable operators for safe plant operation and optimized
utilization of plant equipment.
Simulator Group, a specialized research group of NPCIL, is entrusted with the responsibility of design, development, construction, integration and commissioning of replica simulators. In simple terms, a training simulator is a set of large computational models derived from complex mathematical models executed on high end computational platforms presented to the control room operator through hard and soft human-machine interfaces in a replicated control room environment. Thus a full replica training simulator covers many fields of science and engineering, from physics to mechanical engineering to computer science to electronics and this makes the simulator and simulator building process all the more interesting. This interest was the driving force for NPCIL Simulator Group to deploy five replica simulators across India to train operators from fifteen nuclear power plants.
Brief Biography: Ms. Lipika Behl is a Scientific Officer (H+) and Chief Engineer of the Simulator Group at the Nuclear Power Corporation of India Limited (NPCIL) in the Department of Atomic Energy. She involves in the design, development, construction and commissioning of full scope nuclear power plant simulators in India. She has already deployed five training simulators for NPCIL and is guiding the group in construction of many more simulators. She did her B.E. from Govt. Engineering College (GEC), Jabalpur in 1983. She did her Post Graduate level Training Course at the Bhabha Atomic Research Center (BARC) training school. Before joining NPCIL, she was associated with BARC as a Scientific Officer in the Department of Atomic Energy.
Dr. Sunil Kumar Kopparapu
Principal Scientist, TCS Research & Innovation, Mumbai
Title: Machine Learning in Speech Processing
Abstract: We are going to be hit with a 10x increase in Speech interfaces in the next decade. Speech Processing and Machine learning have become synonymous. However, 'availability of appropriate' data becomes crucial to build machine learning based speech interfaces. In this talk, we will look at how does one use machine learning for speech processing when there are constraints on availability of data for training.
Brief Biography: Dr. Sunil Kumar Kopparapu (Senior Member, IEEE; ACM Senior Member India) obtained his doctoral degree in Electrical Engineering from the Indian Institute of Technology, Bombay, India in 1997. Between 1997-2000 he was with the Automation Group, Commonwealth Scientific and Industrial Research Organization (CSIRO), Brisbane, Australia working on practical image processing and 3D vision problems, mainly for the benefit of the Australian mining industry. In his current role as a Principal Scientist with the TCS Research and Innovations - Mumbai, he is actively working in the areas of speech, script, image and natural language processing with a focus on building usable systems for mass use in Indian conditions. He has authored a few books (Bayesian Approach to Image Interpretation (2001), Non-linguistic Analysis of Call Center Conversation (2014), Analyzing Emotions in Spontaneous Speech (2017) and Friendly User Interfaces (2018)) apart from several patents, journal and conference publications.
Prof. Swades De
Department of EE, IIT Delhi
Title: Data-driven Performance Optimization for IoT Communications
Abstract: In most of the research studies of communication systems, stationarity of traffic is assumed, and the associated processes are approximated to some known "standard" distributions. While such assumptions are indeed necessary for developing tractable analytical frameworks for performance evaluation, at times such assumptions are far from reality. Moreover, in modern-day IoT communications, more precised optimizations are necessary, where the assumed stationarity and traffic distributions prove to be quite strong and do not necessarily result in predicting accurate performance trends. In this context, more and more researchers are resorting to data-driven dynamic system characterization. In this talk, we present data-driven approach to performance optimization of communication systems. Through a few examples, which include cognitive radio channel access, smart power grid monitoring, and smart metering IoT systems, we show how data-driven approach can aid in more accurate system performance evaluation and more precise performance optimization. The studies are supported by our real-time field experiments and implementations, wherever possible.
Brief Biography: Prof. Swades De received the PhD degree in Electrical Engineering from the State University of New York at Buffalo, NY, in February 2004. Prior to that, he did MTech in Optoelectronics and Optical Communication from Indian Institute of Technology Delhi, in 1998, and BTech in Radiophysics and Electronics from University of Calcutta, in 1993. Prof. De had also worked in different telecommunication companies in India as a research and development engineer. In 2004, he worked with the wireless networks group at ISTI-CNR, in Pisa, Italy, through a European research fellowship. He was with the New Jersey Institute of Technology as an Assistant Professor of Electrical and Computer Engineering during 2004-2006. He has been working in the Department of Electrical Engineering at Indian Institute of Technology Delhi since January 2007. His research interests are broadly in communication networks, with emphasis on performance modeling and analysis. Current directions include energy harvesting sensor networks, broadband wireless access and routing, cognitive/white-space access networks, smart grid networks, and IoT communications.