Ahmed Abbas

I obtained my Ph.D. in Computer Science at Max Planck Institute for Informatics advised by Dr. Paul Swoboda. I have a broad range of interests revolving around structured prediction problems in visual computing. Recently I am interested in (i) developing fast discrete optimization algorithms leveraging GPUs & machine learning and (ii) incorporating inductive bias into deep networks by embedding algorithms as differentiable layers.

On the applied side I have around 5 years of experience in visual computing where I have successfully lead projects for 3D reconstruction, calibration for surgical robots and geophysical image analysis. I had the pleasure of being involved in devising product roadmaps, knowledge transfer and in recruitment of new employees. I have also published research while working in industry as my own initiatives.

Timeline

Publications [Google Scholar]

Teaching

• Teaching Assistant, Combinatorial Optimization at Universität des Saarlandes, 2018
• Teaching Assistant, Convex Analysis at Universität des Saarlandes, 2022

Services

Conference Reviewer

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021-2022
• Neural Information Processing Systems (NeurIPS) 2022
• International Conference on Machine Learning (ICML) 2023