Dr. Chirag Raman

Assistant Professor

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Biography

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.

Research Interests

Requirements for Delft University of Technology

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
GRE General
Verbal
Required:154
Quantitative
Required:159
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor degree in a related field Sufficient credits in key subjects (Mathematics, Physics, Discipline-specific)
Application Checklist
  • Bachelor's degree certificate
  • Academic transcript
  • English language certificate
  • Curriculum Vitae (CV)
  • Motivation letter
  • Two letters of recommendation
  • Identity document (Passport)
  • GRE General Test results (for international diplomas)
Specialization Notes

Requirements apply generally across engineering and science master programs. Specific tracks like Architecture require a digital portfolio.