Shashank Agnihotri

Bio

Shashank Agnihotri is currently a Ph.D. student at Prof. Dr. Ing Margret Keuper's Machine Learning Group at the University of Mannheim. 
Before this, he worked as a Research Assistant in the Machine Learning Group at Albert-Ludwigs Universität Freiburg, with Prof. Dr. Frank Hutter and Dr. Mahmoud Safari, working on Neural Architecture Search (NAS) and Robustness of various one-shot NAS methods. 
He received his MSc. Computer Science from Albert-Ludwigs Universität Freiburg in September 2021 and was supervised by Dr. Tonmoy Saikia and Prof. Dr. Thomas Brox. 
In July 2018, he completed his Bachelors in Engineering (B.E.) Computer Engineering from Vivekanand Education Society's Institute of Technology (VESIT), University of Mumbai.
He works primarily on analyzing and improving the adversarial and OOD robustness of deep learning methods. 
Additionally, he is interested in sensor and sensor-related parameters and signal processing, and its impact on the robustness and reliability of Deep Learning based models. He has published some papers at prestigious venues like ICML, ECCV, ICCV, NeurIPS, and ICCP and served as a reviewer for TPAMI, Nature Scientific Reports, ICCV, ECCV, NeurIPS, ICLR, BMVC, and other top-tier venues. 
He helped in the organization of the 45th DAGM German Conference on Pattern Recognition (GCPR) 2023, Heidelberg.