Arjun Chandrasekaran

Arjun Chandrasekaran holds dual roles as a Guest Scientist/Postdoctoral Researcher at the Max Planck Institute for Intelligent Systems (Tübingen, Germany) and Head of AI at CONXAI Technologies (Munich, Germany). His research bridges computer vision, natural language processing, and cognitive science, focusing on multimodal machine learning for understanding human actions, interactions, and behavior in 3D environments. Key areas include human-AI team dynamics, embodied AI, and humor/narrative modeling.

Education:

• PhD in Computer Science (Georgia Tech, advised by Devi Parikh)
• Postdoc under Michael Black at MPI-IS

Research Highlights:

• Developed the BABEL dataset for 3D human behavior analysis
• Explored Fermi problems as AI reasoning benchmarks
• Pioneered studies on humor perception in visual contexts
• Advocated for explainable AI through human-centric evaluation

Publications emphasize interdisciplinary approaches, combining vision-language tasks with cognitive insights. Current work at CONXAI applies AI to transform the Architecture, Engineering, and Construction (AEC) industry through strategic AI solutions and team leadership.