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.
Professor Anjali Kaushik is currently working with Department of Information Management at the Management Development Institute (MDI), Gurgaon, India. She is Ph.D. from Delhi University in the area of information systems planning with 20 years’ experience in teaching, training, research and consulting related to strategic management of information technology, innovation, e-Governance, and cyber security. She has been Chief Investigator, Information Security Assurance Framework for e-governance projects of Government of India (2013-2016) with Ministry of Communication and IT (MoCIT) and National Institute of Standards and Technology (NIST), US. She has been Chief Investigator, Project to study Federal Information Security Management Act (FISMA) by NIST, US and suggested an appropriate information security assurance framework for applying it with Government of India (2010-2012) with Ministry of Communication and IT (MoCIT) and National Institute of Standards and Technology (NIST), US. Apart from this she has been Consultant, National e-Governance Awards 2008-09, 2009-10, 2010-11, 2011-12, 2012-13 by Department of Information Technology and Department of Administrative Reforms, India and Consultant, ‘Vision 2020’ for Central Bureau of Direct Taxes, Income Tax Department, Government of India. She has been a Fellow, Chevening Rolls Royce Science, Innovation, Policy & Leadership Programme, Said Business School, University of Oxford, UK in 2013. She has authored five books and has published several research papers in peer-reviewed journals. Titles of some of her latest books are “Driving Process Change: Innovative e-Government Practices from India, Macmillan Publications” and “Sailing Safe in Cyberspace: Protect Your Identity and Data, SAGE Publications”.
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.
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.