Maja Pantic

Maja Pantic received M.S. and PhD degrees in computer science from Delft University of Technology, the Netherlands, in 1997 and 2001.
From 2001 to 2005, she was an Assistant and then an Associate professor at Delft University of Technology, Computer Science Department. In April 2006, she joined the Imperial College London, Department of Computing, UK, and continued working on machine analysis of human non-verbal behaviour and its applications to Human-Computer Interaction (HCI). In October 2010, she became Professor of Affective & Behavioural Computing and the leader of the Intelligent Behaviour Understanding Group (iBUG) at Imperial College London. From November 2006, she also holds an appointment as the Professor of Affective & Behavioural Computing at the University of Twente, Computer Science Department, the Netherlands.

In 2002, for her research on Facial Information for Advanced Interface (FIFAI), she received Innovational Research Award of Dutch Research Council as one of the 7 best young scientists in exact sciences in the Netherlands.
In 2007, for her research on Machine Analysis of Human Naturalistic Behavior (MAHNOB), she received a European Research Council Starting Grant (ERC StG) as one of 2% best junior scientists in any research field in Europe. She is also the Scientific Director of the large European project on Social Signal Processing.
In 2011, Prof. Pantic receivedthe BCS Roger Needham Award, awarded annually to a UK based researcher for a distinguished research contribution in computer science within ten years of their PhD.

She is the Editor in Chief of the Image and Vision Computing Journal (IVCJ/ IMAVIS), Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics (IEEE TSMC-B), Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligenve (IEEE TPAMI), and a member of the Steering Committee of the IEEE Transactions on Affective Computing. She is a Fellow of the IEEE.

Prof. Pantic is one of the world's leading experts in the research on machine understanding of human behavior including vision-based detection, tracking, and analysis of human behavioral cues like facial expressions and body gestures, and multimodal analysis of human behaviors like laughter, social signals, and affective states. She is also one of the pioneers in design and development of fully automatic, affect-sensitive human-centered anticipatory interfaces, built for humans based on human models. She has published more than 150 technical papers in the areas of machine analysis of facial expressions and emotions, machine analysis of human body gestures, and human-computer interaction. Her work is widely cited and has more than 25 popular press coverage (including New Scientist, BBC Radio, and NL TV 1 and 3).
See also: http://ibug.doc.ic.ac.uk/~maja/