Dipak Surie

Dipak Surie (October 25, 1981) is an Indian researcher working at Umeå University, Sweden. His research interests include Ambient intelligence, Smart Environments, Activity recognition, Context awareness, and Cognitive Science.

Biography

Surie was born in the city of Chennai, in India. He attended schooling in Padma Seshadri Bala Bhavan in K.K.Nagar, Chennai. As a young school boy, Surie was an artist and had special interests in Mathematics. He obtained his Bachelor of Technology in Information Technology from the University of Madras in 2003.

Surie had a passion to explore the world and to experience new cultures. He moved to Umeå, Sweden in 2003 and completed his Master of Science in Computing Science from Umeå University in 2005. Currently, he is working towards a Doctor of Philosophy with a specialisation in Ambient intelligence.

Surie has 2 key note speeches at the very start of his career namely, "Providing Activity-Centered Computing Infrastructure for Intelligent Environments" at the Third International Conference on Usability Engineering, 19-20 May, Oviedo, Spain, (2008); and "Computer Support for Human Activities in the wild" at the 10th Conference on Human Computer Interaction, 13-15 December, Oviedo, Spain, (2005).

Research

Surie is interested in environments where physical objects and virtual objects co-exist and enable human agents to perform activities across the physical-virtual boundary. His work is inspired by Dr. Thomas Pederson's PhD Thesis on Mixed Reality space. Currently, Surie along with Dr. Thomas Pederson and Prof. Lars-Erik Janlert are working on a Situative Space Model that describes a human agent's situation based on his/her perception and action possibilities. The Situative Space Model is used for Activity Recognition , Situation awareness and for facilitating Distributed Multimodal Interaction .

Surie did his master thesis on Implicit Human-Computer Interaction as part of the PHYVIR project. His PhD studies with a focus on Smart Homes is part of the easyADL Project. The aim is to design a smart home that would enable mild-dementia patients to live independently and to perform their activities of daily living (ADL).