IDEAS Lab

Welcome to IDEAS Lab

Welcome to the interdisciplinary research lab, IDEAS (Intelligent Design for Empathetic and Augmented Systems) at Purdue Computer Science. Our research includes the design and implementation of scientific algorithms leveraging the “human in the loop” and their applications to computer graphics, robotics, AI, virtual environments, augmented intelligence, pedestrian and crowd dynamics, and medical / healthcare research.

Our research also focuses on building embodied computational models of human social behavior, developing component algorithms of an intelligent agent (from sensing, to decision-making, to actuating). Our long-term research goal is to create engaging, socially intelligent agents that can interact with humans in innovative ways through expressive multi-modal interaction.

Some recent work includes combining these methods with machine learning, computer vision, and physically-based modeling for Autonomous Driving, Affective Computing and Reconstructing Reality. In addition to publishing papers at the leading venues, we have a long history of developing software packages and transitioning our technology into industrial products.

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15 Sep 2022
Paper accepted at MIG 2022 (Learning Gait Emotions Using Affective and Deep Features)
20 Aug 2022
Paper accepted at WACV 2023 (Placing Human Animations into 3D Scenes by Learning Interaction- and Geometry-Driven Keyframes)
15 Aug 2022
IDEAS Lab moved to Purdue University
10 May 2022
Prof. Aniket Bera appointed as Senior Editor for IEEE Robotics and Automation Letter (RA-L) in the area of Planning and Simulation
10 May 2022
Grant Awarded by "TEDCO (Maryland Technology Development Corporation)" for Project Dost
10 Mar 2022
Best Paper Award (Honorable Mention) in in IEEE VR 2022 for ENI: Quantifying Environment Compatibility for Natural Walking in Virtual Reality
20 Mar 2022
Paper accepted at CVPR 2022 (3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos)
01 Oct 2022
Best Paper Award (Honorable Mention) in ISMAR 2021 for Redirected Walking in Static and Dynamic Scenes Using Visibility Polygons
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