Speakers

Rosalind Picard

 Prof. Rosalind W. Picard (On Skype)

Abstract

Human-Computer interaction should rarely call attention to emotion; however, it almost always involves emotion. For example,it should not inflict undesirable stress, and it should defect if it accidentally does this and respond intelligently to keep stress from escalating.Some interaction may also be crafted to elicit positive emotions such as joy or delight,while successful learning interactions will often involve detecting confusion and not letting it dominate. This keynote talk will address some ways that our work at the MIT Media Lab has advanced solutions for recognizing user emotion during everyday experiences,and highlight some surprising findings during this research.

Biography

Professor Rosalind W.Picard, Sc.D., is founder and director of Affective Computing Research Group at the Massachusetts Institute of Technology (MIT) Media Lab where she also chairs MIT’s Mind+Hand+Heart initiative. Picard has co-founded two businesses, Empatica, Inc. creating wearable sensors and analytics to improve health, and Affectiva, Inc. delivering software to measure and communicate emotion through facial expression analysis. She has authored or co-authored over 200 scientific articles, together with the book Affective Computing,which helped give rise to the field by that name. She was a founding member of the IEEE TC on Wearable Systems and has been named a fellow of the IEEE.

 

 
Ramesh Jain

Prof. Ramesh Jain

CURRENT DESIGNATION
Ramesh Chandra Jain is a scientist and entrepreneur in the field of information and computer science. He is a Bren Professor in Information & Computer Sciences, Donald Bren School of Information and Computer Sciences, University of California, Irvine.

RESEARCH AND INTEREST

  • Ramesh has been an active researcher in experiential computing, multimedia information systems, machine vision, and intelligent systems. While professor of computer science and engineering at the University of Michigan, Ann Arbor and the University of California, San Diego, he founded and directed artificial intelligence and visual computing labs.
  • His current research is in Social Life Networks, Objective Self, and Visual Web.


 
 

Prof. Ling Guan


Prof. Ling Guan (Tentative)

CURRENT DESIGNATION
Prof. Ling Guan  is a Professor in Departmant of Electrical and Computer Engineering at Ryerson University ,Canada

RESEARCH/TEACHING INTERESTS

  • Multimedia processing and communications,reality computing, image and video processing,machine learning, pattern recognition ,human-computer interaction,visual information mining,intelligent healthcare systems,smart living, e-heritage.


 

yhkimpotrait

Prof. Kim, Yong Hoon

CURRENT DESIGNATION
Professor at GwangJu Institute of Science & Technology (GIST), South Korea

RESEARCH/TEACHING INTERESTS

  • Sensor System Laboratory (SSL), (Millimeter-wave and Photonics) in the mechatronics department at the GwangJu Institute of Science & Technology (GIST), South Korea. SSL was established in 1995 with Prof. Yong-Hoon Kim. SSL performs research on millimeter-wave technology and development of systems for various vehicles, aircraft and intelligent structures. The major research area includes Microwave and Millimeter-wave circuits, Antennas , Radar sensor system for ITS (Intelligent Transport Systems), Remote sensing, Communication system, etc.
 

Dr. M. Ehsan Hoque

Dr. M. Ehsan Hoque

CURRENT DESIGNATION
Ehsan Hoque is an Assistant Professor of Computer Science at University of Rochester, where he co-directs the Rochester Human-Computer Interaction (ROC HCI) Lab.

RESEARCH/TEACHING INTERESTS

  • Designing and implementing new algorithms to sense subtle human nonverbal behavior.
  • Enabling new behavior sensing and modeling for human-computer interaction.
  • Inventing new applications of emotion technology in high-impact social domains such as social skills training, public speaking, and assisting individuals who experience difficulties with social interactions.
 
 bchanda

Prof. B. Chandra

Title of the talk: Image restoration using exemplar-based texture synthesis

Abstract:
Exemplar-based or patch-based techniques are proven to generate promising results and outperform many of the existing state-of-art techniques in many applications in digital image processing. In this presentation we present a novel exemplar-based coherent texture synthesis technique. A patch-based an-isotropic diffusion combined with a novel high-frequency generating technique that can enhance line/brush strokes is also described. Though these techniques can be applied to many different image processing applications, here we have limited ourselves in the restoration of digital image degraded by ageing and physical damage. Some empirical and practical evidence for its high quality texture synthesis and restoration for mural paintings are also presented. The experimental results show the  effectiveness of the proposed algorithm.

 
 Amresh singh

Mr. Amresh Singh

CURRENT DESIGNATION

Vice President Engineering at Confidential (Management Consulting), Gurgon, India

SPECIALITIES

Leadership, Agile – Scrum, Product Development, Cloud Computing (SaaS, PaaS), Program Management, S/W Architecture, Web AnalUxD.ytics, Consulting, UxD.

 

Honorary General Chair
Mriganka Sur, (MIT, USA)

Program Chair
Somenath Biswas, (IIIT Allahabad, India)
Uma Shanker Tiwary (IIIT Allahabad, India)

Steering Committee
Keith Cheverst (Lancaster Univ., UK)
Ramesh Jain (UCI, USA)
Patrick Horain (Telecom SudParis, France)
Malik Mallem (E. V d’Essonne Uni., France)
Jaroslav Pokorný (Charles Univ., Czech Republic)
Debasis Samanta (IIT Kharagpur, India)
Tanveer Siddiqui (Univ. of Allahabad, India)
Yong Hoon Kim (GIST, South Korea)
Ling Guan (Ryerson Univ., Canada)
Tom D. Gedeon (The Australian National University, Australia)

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