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General Chair
  • Prof. Anupam Basu, Professor, CSE, IIT Kharagpur
Programme Chair
  • Prof. Sukhendu Das, CSE, IIT Madras
  • Prof. Patrick Horain, Telecom SudParis, France (Co-Chair)
  • Dr. Samit Bhattacharya, CSE, IIT Guwahati (Co-Chair)
Jointly Organized by
  • CSIR-CEERI, Pilani
  • BITS Pilani
  • IIIT, Allahabad
  • Welcome in IHCI 2016
  • Conference Dates: 12-13 December, 2016

Addresses of the Plenary Speakers

Prof. Thomas Ertl

Chair at the Visualization and Interactive Systems Institute (VIS)
Head of the Visualization Research Center
Vice Rector for Research and Advanced Graduate Education
University of Stuttgart 38, 70569 Stuttgart,

Title :Interactive Visualization – A Key Discipline for Big Data Analysis


Big Data has become the general term relating to the benefits and threats which result from the huge amount of data collected in all parts of society. While data acquisition, storage and access are relevant technical aspects, the analysis of the collected data turns out to be at the core of the Big Data challenge. Automatic data mining and information retrieval techniques have made much progress but many application scenarios remain in which the human in the loop plays an essential role. Consequently interactive visualization techniques have become a key discipline of Big Data analysis and the field is reaching out to many new application domains. This talk will give examples from current visualization research projects at the University of Stuttgart demonstrating the thematic breadth of application scenarios and the technical depth of the employed methods. We will cover advances in scientific visualization of fields and particles, visual analytics of document collections and movement patterns as well as cognitive aspects.


Thomas Ertl received a MSc in computer science from the University of Colorado at Boulder and a PhD in theoretical astrophysics from the University of Tübingen. Since 1999 he is a full professor of computer science at the University of Stuttgart now leading the Visualization and Interactive Systems Institute (VIS) and the Visualization Research Center of the University of Stuttgart (VISUS). Currently, he serves as Vice President of Research of the University. His research interests include visualization, computer graphics and human computer interaction in general with a focus on volume rendering, flow and particle visualization, parallel and hardware accelerated graphics, large datasets and interactive steering, visual analytics of text collections and social media, user interfaces and navigation systems for the blind. Thomas Ertl is coauthor of more than 500 scientific publications and he served on numerous program committees and as a papers co-chair for most conferences in the field. From 2007-2010 he was Editor-in-Chief of the IEEE Transactions on Visualization and Graphics (TVCG) and in 2011/2012 he served as Chairman of the Eurographics Association. He received the Outstanding Technical Contribution Award and the Distinguished Career Award of the Eurographics Association and the Technical Achievement Award of the IEEE Visualization and Graphics Technical Committee. In 2007 he was elected as a Member of the Heidelberg Academy of Sciences and Humanities. He received Honorary Doctorates from the Vienna University of Technology in 2011 and from the University of Magdeburg in 2014.

Dr. Manas Mandal

Ex Director General, Life Sciences, DRDO
Ministry of Defence, Government of India
DRDO Bhawan, Rajaji Marg
New Delhi – 110105

Cognitive Sciences: Tomorrow’s Perspective

Cognitive science is a subject matter which is based on traditional methods in behavioral science with a focus on construct and theory development. Of late the focus in cognitive science has been changing with a change in operational definition of the construct of cognition that includes the components of neuroscience and computational science. From the perspective of behavioral science, this is an important development since many unanswered questions in cognitive science could be addressed, for example, how cognitive input in the brain is processed, why do we fail to process information under stress, Is it possible to bring autonomy in rudimentary human functions, can we develop decision support tool to reduce the burden of information overload, etc. The multidisciplinary nature of cognitive science today has helped bridge the gap between technology development and human skill development. Human cognitive threshold is thus being enhanced with the help of technology or being replaced with alternative / assistive technology. Efforts are also being made to reproduce the cognitive ability in man-made pre-programmed robot. To conduct such research, it is important to engage the disciplines of neuroscience, computer science and behavior science under the banner of cognitive science. The present talk will focus on cognitive science with an interdisciplinary perspective with an aim to propose some research programs that will help benefit developing technology to enhance, support, read or reproduce human capability.


Dr. Manas K Mandal has retired as a Distinguished Scientist and Director General – Life Sciences in DRDO HQ, New Delhi, in the recent past. Prior to this, he was Chief Controller R&D (Life Sciences), DRDO from 01 March 2013 to 01 Sep 2013. He also was the Director of Defence Institute of Psychological Research (DIPR), Delhi for about nine years. He holds a PhD degree from Calcutta University and was a Lecturer at Banaras Hindu University in 1983. He completed his post-doctoral research programme at Delaware University (Fulbright Fellow), USA in 1986-87 and at Waterloo University (Shastri Fellow, Natural Sciences & Engineering Research Council Fellow) Canada, in 1993-94. Dr. Mandal was a Professor of Psychology at the Department of Humanities and Social Sciences, IIT, Kharagpur prior to joining DRDO. He was also a Visiting Professor at Kyushu University, Japan in 1997 and 2010-2011. During 2003 he was a Fulbright Visiting Lecturer, Harvard University, USA. He received various research fellowships and scientific awards at national and international levels, such as, International Scientific Exchange Award (Canada), Fulbright Fellowship (USA), Shastri Fellowship (Canada), Seymour Kety grant (USA), Career Award (India), Young Scientist Award (India), DRDO Spin-off Technology Award, National Association of Medical Sciences Award, etc. In 2005, Dr. Mandal (and his team) was given away ‘Agni Award for Excellence in Self Reliance’ for the contribution towards the development of ‘Computerized Pilot Selection System.’ For his overall contribution to Psychology, he was been elected as the Fellow of National Association of Psychology in India (2012), and for his contribution to Military Psychology, he was given away the ‘Scientist of the Year’ award in 2006 by the Prime Minister of India. Dr. Mandal specializes in the areas of social cognition and experimental neuropsychology. He has to his credit twelve books, and over 100 research papers published in high impact factor journals. These researches are cited in more than 300 international journals and books.

Prof. Sudeep Sarkar

Computer Science & Engineering
Associate Vice-President for Research & Innovation
USF Research & Innovation
3702 Spectrum Blvd., Suite 175
Tampa, FL 33612-9444

Video Event Understanding with Pattern Theory

Successful automatic understanding of video content is essential for many computer vision-based applications. These applications generally focus on recognizing human interactions, which are typically understood as events that involve people performing actions with objects or other people. The main challenges are threefold. First, it is difficult to handle the enormous variety of interactions present in different instances of a complex event. The second challenge involves rejecting clutter of extraneous objects (detected in scenes) so that only the participating ones are included in the interpretation. The third challenge stems from low-level processing errors in segmentation, tracking, and classification of objects and actions. How we do leverage the success of deep-learning/machine learning based labeling methods into building a detailed semantic description of a complex event? There are many possible approaches; however, there is one approach that we have found to be particularly exciting. It is a combinatorial approach based on Grenander’s pattern theory – the classic version. In this talk I will share with you our approach and successes we have had in formulating a comprehensive and elegant formulation that is able to handle all these three kind of challenges, without the need for an extensive training dataset.


Dr. Sudeep Sarkar is a professor of Computer Science and Engineering and Associate Vice President for Research & Innovation at the University of South Florida in Tampa. He received his M.S. and Ph.D. degrees in Electrical Engineering, on a University Presidential Fellowship, from The Ohio State University. He is the recipient of the National Science Foundation CAREER award in 1994, the USF Teaching Incentive Program Award for Undergraduate Teaching Excellence in 1997, the Outstanding Undergraduate Teaching Award in 1998, and the Theodore and Venette Askounes-Ashford Distinguished Scholar Award in 2004. He is a Fellow of the American Association for the Advancement of Science (AAAS), Institute of Electrical and Electronics Engineers (IEEE) and International Association for Pattern Recognition (IAPR), and a charter member and member of the Board of Directors of the National Academy of Inventors (NAI). He has 25 year expertise in computer vision and pattern recognition algorithms and systems, holds three U.S. patents and has published high-impact journal and conference papers.

Jointly Organized by :
Central Electronics Engineering Research Institute (CSIR-CEERI), Pilani
Birla Institute of Technology and Science, Pilani
IIIT Allahabad