IDEAS Lab

People

IDEAS’s research includes design and implementation of algebraic, geometric, and scientific algorithms and their applications to computer graphics, robotics, virtual environments, CAD/CAM, acoustics, pedestrian dynamics, and medical simulation. 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.

Principle investigator

Aniket Bera Aniket Bera

PhD students

Amir Tahmasbi Amir Tahmasbi Apoorva Vashisth Apoorva Vashisth Dipam Patel Dipam Patel Divyanshu Daiya Divyanshu Daiya Haomeng Zhang Haomeng Zhang Hrishikesh Viswanath Hrishikesh Viswanath Jason Alexander Fotso-Puepi Jason Alexander Fotso-Puepi Jasorsi Ghosh Jasorsi Ghosh Lu Ling Lu Ling Manav Kulshrestha Manav Kulshrestha Pascal Jutras-Dubé Pascal Jutras-Dubé Phu Pham Phu Pham Prerit Gupta Prerit Gupta Rashmi Bhaskara Rashmi Bhaskara S. Talha Bukhari S. Talha Bukhari Xingpeng Sun Xingpeng Sun Yiran Zhang Yiran Zhang Zhengyuan Li Zhengyuan Li

MS students

Aniruddha Mukherjee Aniruddha Mukherjee

Undergrad students

Manas Paranjape Manas Paranjape Mridu Prashanth Mridu Prashanth Paige Bryan Paige Bryan Revanth Krishna Senthilkumaran Revanth Krishna Senthilkumaran

External Students

Alumni (co-advised or co-supervised by Prof. Aniket Bera):

IDEAS is an intellectually diverse, multi-disciplinary research lab. We conduct basic and applied research in different areas that are relevant to industrial and societal tasks.

Join us

Post Doctoral Researcher

We’re hiring multiple Postdoctoral Research Associates in the interdisciplinary areas of AI, affective computing, computer graphics, and multi-agent planning. Please send Prof. Aniket Bera an email with your resume. Link here

Graduate students

If you’re looking for graduate admissions (MS/Ph.D.), please email us and apply to the Purdue CS. Please note that all admission decisions are taken by the committee.

If you’re already a student at Purdue, the best way to increase the chances of a response to an email is to read one of our recent papers and include a concise paragraph with the benefits and drawbacks of the main idea as well as possible improvements you’d be interested to try and send us an email with your CV and background.