Dr. Vijayan Asari is a Professor in Electrical and Computer Engineering and Ohio Research Scholars Endowed Chair in Wide Area Surveillance at the University of Dayton, Dayton, Ohio, USA. He is the director of the Center of Excellence for Computer Vision and Wide Area Surveillance Research (Vision Lab) at UD. Dr. Asari received his BS in electronics and communication engineering from the University of Kerala (College of Engineering, Trivandrum), India in 1978, M Tech and PhD degrees in Electrical Engineering from the Indian Institute of Technology, Madras in 1984 and 1994 respectively. Prior to joining UD in February 2010, Dr Asari worked as Professor in Electrical and Computer Engineering at Old Dominion University, Norfolk, Virginia for 10 years. He was the founding director of the Computational Intelligence and Machine Vision Laboratory at ODU (Vision Lab). Dr. Asari worked at National University of Singapore during 1996-98 and led a research team for the development of a vision-guided micro-robotic endoscopy system. He also worked at Nanyang Technological University, Singapore during 1998-2000 and led the computer vision and image processing related research activities in the Center for High Performance Embedded Systems at NTU. Dr. Asari holds three patents and has published more than 550 research papers, including an edited book in wide area surveillance and 89 peer-reviewed journal papers in the areas of image processing, pattern recognition, machine learning and high performance embedded systems. Dr Asari has supervised 23 PhD dissertations and 37 MS theses, and currently several graduate students are working with him in different sponsored research projects. He is actively participating in several federal and private funded research projects and he has so far managed around $16M research funding. Dr. Asari received several teaching, research, advising and technical leadership awards. Dr. Asari has been a Senior Member of the IEEE since 2001 and is a Senior Member of the Society of Photo-Optical Instrumentation Engineers (SPIE). He is a member of the IEEE Computational Intelligence Society (CIS), IEEE CIS Intelligent Systems Applications Technical Committee, IEEE Systems, Man and Cybernetics Society (SMC) Technical Committee of Human Perception in Vision, Graphics and Multimedia, IEEE Internet of Things (IoT) Community, Society for Imaging Science and Technology (IS&T), IS&T Data Analytics and Marketing Task Force, Institute for Systems and Technologies of Information, Control and Communication (INSTICC), and American Society for Engineering Education (ASEE). He is the co- organizer of several SPIE and IEEE conferences and workshops.
Inderjit Dhillon is the Gottesman Family Centennial Professor of Computer Science and Mathematics at UT Austin, where he is also the Director of the ICES Center for Big Data Analytics. His main research interests are in big data, machine learning, network analysis, linear algebra and optimization. He received his B.Tech. degree from IIT Bombay, and Ph.D. from UC Berkeley. Inderjit has received the following awards: the ICES Distinguished Research Award, the SIAM Outstanding Paper Prize, the Moncrief Grand Challenge Award, the SIAM Linear Algebra Prize, the University Research Excellence Award, and the NSF Career Award. He has published over 175 journal and conference papers, and has served on the Editorial Board of the Journal of Machine Learning Research, the IEEE Transactions of Pattern Analysis and Machine Intelligence, Foundations and Trends in Machine Learning and the SIAM Journal for Matrix Analysis and Applications. Inderjit is actively involved with industry. He is currently an Amazon Fellow at A9/Amazon, where he is developing and deploying state-of-the-art machine learning methods in Amazon search. Prior to joining Amazon, Inderjit worked as a quantitative analyst at a hedge fund, Voleon, which does systematic machine learning statistical arbitrage. In the past, Inderjit has been a consultant for Walmart Labs, Sabre Inc, Yahoo!, Syncata, and Neonyoyo. Inderjit is an ACM Fellow, an IEEE Fellow, a SIAM Fellow and an AAAS Fellow.
Kuan-Ching Li is a Professor in the Department of Computer Science and Information Engineering at the Providence University, Taiwan. He received his Ph.D. from The University of Sao Paulo (USP), Brazil. Dr. Li is recipient of awards from Nvidia, Ministry of Education (MOE)/Taiwan and Ministry of Science and Technology (MOST)/Taiwan, as also guest professorship from universities in China, that includes Xiamen University (XMU), Huazhong University of Science and Technology (HUST), Lanzhou University (LZU), Shanghai University (SHU), Anhui University of Science and Technology (AUST), and Lanzhou Jiaotong University (LZJTU). He has been involved actively in conferences and workshops as a program/general/steering conference chairman positions, numerous conferences and workshops as a program committee member, and has organized numerous conferences related to high-performance computing and computational science & engineering. Dr. Li is the Editor-in-Chief of technical publications International Journal of Computational Science and Engineering (IJCSE), International Journal of Embedded Systems (IJES) and International Journal of High Performance Computing and Networking (IJHPCN), all published by Inderscience, also serving a number of journal’s editorial boards and guest editorships. In addition, he has been acting as editor/co-editor of several technical professional books, published by CRC Press, Springer, McGraw-Hill and IGI Global. His topics of interest include Networked computing, GPU computing, parallel software design, and performance evaluation and benchmarking. Dr. Li is a Life member of Taiwan Association of Cloud Computing (TACC), a member of AAAS, a Senior Member of the IEEE and a Fellow of the IET.
Joseph Tan, PhD is Professor of eBusiness Innovation/eHealth Informatics, McMaster University. He has been named as among the “top 10 most influential informatics professors” on HealthTechTopia website, invited to publish in the scientific journal, Nature, and sits on multiple peer-review federal grant agencies and journal editorial boards. Dr. Tan has demonstrated high-performing skills and ability to serve in both academia and industry. To date, he has appeared as invited keynote for numerous local as well as major national and international conferences across North America, Asia, Africa, and elsewhere, and networks widely with key decision and policy makers apart from academic scholars and practitioners at local, provincial/state, national and international levels, including private, public and non-governmental organizations and universities. He has served as distinguished faculty, invited speaker, panel moderator, research fellow and keynote for numerous local, national and international conferences across North America, Asia, Middle East and Africa.
L V (Venkat) Subramaniam is STSM & Senior Manager - Knowledge Engineering and Data Platforms, India Research Laboratory, New Delhi, India. He received the B.E. degree in Electronics and Communication Engineering from Mysore University, the M.S. degree in Electrical Engineering from Washington University, St. Louis, USA, and the Ph. D. degree in Electronics from the Indian Institute of Technology, New Delhi, India. The Knowledge Engineering and Data Platforms theme of his work has been the search for informative patterns in signals that include text, speech, image and others enhanced for different communication channels. He joined IBM Research India in 1998, where he currently leads a team of world class researchers developing the next generation Data and Knowledge Engineering technologies. He is a member of the IBM Academy of Technology and an IBM Master Inventor.He has firsthand experience in implementing knowledge solutions for telecom, finance, retail, pharma, government and entertainment sectors. He also has deep involvement in academics. He is on the Senate of IIIT Delhi since 2013.He has been on PhD thesis committees in IIT Delhi, India, Univ of Maryland, Baltimore County, USA and IIIT Delhi, India. He has awarded by IBM Outstanding Technical Achievement Award 2015(Market Impact of Social and Customer Analytics), IBM Outstanding Technical Achievement Award 2015(Data Fusion and Analytics), IBM Outstanding Technical Achievement Award 2011 Cleansing as a Transient Service (Data Quality Assessment and Management), IBM Outstanding Technical Achievement Award 2012(Noisy Text Analytics). He has invited to deliver talk on Data Cleansing as a Service, Univ of Waterloo, Waterloo, Canada, Oct 27, 2010; Data Quality Platform: Enhancing Enterprise Data Quality Using Web Data, Information on Demand, Las Vegas, NV, USA, Oct 25, 2010; Real World Text Analytics, Univ of Texas, Austin, USA, Oct 21, 2010; NLP for Noisy Text, Univ of Texas, Dallas, USA, Oct 19, 2010. He served as member of Editorial Board, International Journal on Document Analysis and Recognition (IJDAR)
Mr. Nitendra is Senior Vice President Analytics and Data Science, Info Edge (India) Limited, India. Nitendra defines and leads the MobileFirst agenda for IBM Research in India. His team invests in developing research technologies that can add value and help differentiate the IBM Mobile portfolio, be it a product, a service or an industry specific solution. In 2016, he has been focussing on adding research and innovation in the context of the Apple-IBM partnership and on enhancing the mobile HCI platforms. From a industry perspective, he works on applying mobile technologies to travel and transportation, education, retail and financial industries. His personal interest is to build novel interaction systems, mostly focusing on the mobile platform. Based on such work, he has delivered several tutorials and conducted workshops in the mobile and speech areas at top ACM venues internationally (MobileHCI, IUI, CSCW, CHI). Nitendra is an ACM Distinguished Scientist and an IEEE Senior Member. He is also an IBM Master Inventor has many patents to his name.
Sachindra Joshi is a Senior Technical Staff Member and a research manager in IBM Research, India. He is currently leading the research efforts in building multi-modal conversational systems. He is focused on adapting and applying various machine learning and natural language processing techniques to build computing systems that can interact with humans in a natural manner. Prior to joining IBM research, Sachindra completed Masters degree in Computer Science and Engineering from Indian Institute of Technology Bombay, where he was the recipient of the gold medal award for standing first in the department. His current research interest lies in the area of dialog systems, text processing, natural language processing and machine learning.
Nilufer Onder is presently working as Associate Professor with Department of Computer Science, Michighan Technological University, USA. She received her PhD, in Computer Science from the University of Pittsburgh in 1999. Her areas of interest are Artificial intelligence: automated planning under uncertainty, temporal reasoning, temporal verification of simulations with applications in computer micro-architecture, decision support systems for construction management, evolutionary algorithms in space trajectory optimization, Computer science education: Educational software, student attitudes towards STEM fields, student persistence in engineering and computer science. She is recipient of Distinguished Teaching Award, May 2013, 14th International Conference on Automated Planning & Scheduling (ICAPS-2004), International Planning Competition (IPC-4), NATO Science Scholarship Program 3-year Ph.D. fellowship in the field of computer science (1990- 1993). She has received research grants from Stevens Institute of Technology for improving and increasing faculty-student interactions, NSF DUE0618537, Department of Defense, DARPA for A Collaborative Laboratory for Human-Robot Interaction at Michigan Technological University.