Surjya Ghosh of CWI's DIS group has been selected to participate in the 8th Heidelberg Laureate Forum (HLF), to be held from 19 to 24 September 2021, in Heidelberg, Germany. The annual HLF event selects a small group of 200 most qualified Young Researchers worldwide to meet pre-eminent scientists from the fields of mathematics and computer science.
Surjya Ghosh is a postdoctoral researcher of the Distributed Interactive Systems group. His research interests are in the area of Affective Computing and Human-Computer Interaction. He works on different aspects of affective computing e.g. affect determination (based on different bodily signals), self-report collection, Experience Sampling Method (ESM) design, self-reflection. He has been working in the domains of mental health, intelligent transportation, and virtual reality (VR).
The Heidelberg Laureate Forum Foundation (HLF) is a networking event for mathematicians and computer scientists from all over the world. The recipients of the most prestigious awards in mathematics and computer science, the Abel Prize, ACM A.M. Turing Award, ACM Prize in Computing, Fields Medal and the Nevanlinna Prize are invited to participate in the Forum. They will give lectures on subjects of their choosing which are primarily directed at the participating young scientists. Those lectures should be the starting point of intensive discussions between the laureates and the young researchers during the forum. This means that the Heidelberg Laureate Forum is not a classical scientific conference but a networking event meant to motivate and inspire the next generation of scientists. Additional to the lectures there are other platforms for exchange, such as workshops, the hot topic, poster flashes etc.
CWI’s Distributed and Interactive Systems research group focuses on facilitating and improving the way people use interactive systems and how people communicate with each other. We combine data science with a strong human-centric, empirical approach to understand the experience of users. This enables us to design and develop next generation intelligent and empathic systems. We base our results on realistic testing grounds and data sets, and embrace areas such as ubiquitous computing, human-centered multimedia systems, and languages.