Hi! I'm Talha. I'm a PhD student in Computer Science and Fulbright Scholar at Purdue.
I currently research Diffusion Models and Implicit Neural Representations for Grasp and Motion Optimization.
I am advised by Dr. Zachary Kingston and Dr. Aniket Bera, and have worked closely with Dr. Ahmed Qureshi.
Previously, I was a ML Software Engineer at Pointivo where I developed and deployed ML pipelines to derive insights for 3D asset inspection.
Before that, I studied Mechatronics & Control Engineering at UET Lahore, and Signal Processing & Machine Learning at LUMS.
Research Interests
{Machine Learning} ∪ {Motion Planning} ∪ {Geometry Processing}
Selected Papers
Physics Informed Viscous Value Representations
Hrishikesh Viswanath, Juanwu Lu, S. Talha Bukhari, Damon Conover, Ziran Wang, and Aniket Bera
(under review); 2026
VLAD-Grasp: Zero-shot Grasp Detection via Vision-Language Models
Manav Kulshrestha, S. Talha Bukhari, Damon Conover, and Aniket Bera
(under review); 2025
Variational Shape Inference for Grasp Diffusion on SE(3)
S. Talha Bukhari, Kaivalya Agrawal, Zachary Kingston, and Aniket Bera
IEEE Robotics and Automation Letters (RA-L); 2025
Differentiable Composite Neural Signed Distance Fields for Robot Navigation in Dynamic Indoor Environments
S. Talha Bukhari, Daniel Lawson, and Ahmed H. Qureshi
IEEE International Conference on Robotics and Automation (ICRA); 2025
E₁D₃ U-Net for Brain Tumor Segmentation
S. Talha Bukhari and Hassan Mohy-ud-Din
International MICCAI Brainlesion Workshop (BrainLes); 2021
A Systematic Evaluation of Learning Rate Policies in Training CNNs for Brain Tumor Segmentation
S. Talha Bukhari and Hassan Mohy-ud-Din
Physics in Medicine & Biology (IF:3.61); 2021