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Chirag Raman is an Assistant Professor in the Pattern Recognition Bioinformatics Group at Delft University of Technology. His research focuses on developing computational techniques to anticipate, analyze, and synthesize multimodal social behavior, especially in contexts involving physically-situated and virtually-embodied interactions. His broader motivation lies in fostering smoother social interactions across geographic and linguistic boundaries, particularly through machine-mediated interactions. His work aims to enable machines to sense, perceive, and reason about spatio-temporal social dynamics that guide social exchanges. Chirag's expertise encompasses generative multimodal machine learning, computer vision, distributed systems, and affective computing. He is currently focused on socially-aware synthesis of behavioral cues and causal discovery in multimodal time series. He has a background in engineering, game development, and UX design. Prior to his academic career, he worked as a Senior Research Engineer in Multimodal Machine Learning at Carnegie Mellon University, and he spent time at Microsoft Research in the Mixed Reality & AI Lab. He holds a Ph.D. in Socially Perceptive Computing from Delft University of Technology, a Master's in Entertainment Technology from Carnegie Mellon University, and a Bachelor's in Information Technology from the University of Mumbai. Outside of work, Chirag enjoys biking and storytelling through design.
Requirements apply generally across engineering and science master programs. Specific tracks like Architecture require a digital portfolio.