Chirag Raman

Chirag Raman profile

I am an assistant professor within the Pattern Recognition and Bioinformatics Group at TU Delft. My research focuses on developing computational techniques and tools to anticipate, analyze, record, and synthesize multimodal social human behavior—especially in physically-situated or virtually-embodied interactions in the wild. Consequently, my skills and expertise span different disciplines, including generative multimodal machine learning, computer vision/graphics, distributed systems, and affective computing.

Roles in Hybrid Intelligence: One of the co-leads of the Robotic Case Study

Hybrid Intelligence Research Objectives: Explainable HI, Collaborative HI, Adaptive HI

Hybrid Intelligence Projects:

  • None Yet

Research interests: Generative Modeling, Behavior Forecasting, Nonverbal Behavior Modeling, Causal Representation Learning, Explainable AI.

Affiliations:

  • Department of Intelligent Systems, Delft University of Technology (TUDelft)

More information: website