Assistant Professor, University of Nottingham

Shreyank is an Assistant Professor at the University of Nottingham. He is a researcher specializing in deployable computer vision research with a focus on data-efficient and memory-efficient learning methodologies, across diverse datasets such as images, videos, and medical data strongly motivated by how we as humans see and learn with a long-term goal of making AI sustainable. His published papers include top-tier ICLR, NeurIPS, ICCV, ECCV, AAAI conference papers. Previously, he was a postdoc at the University of Oxford. And before that, he completed his PhD in Informatics from the University of Edinburgh. He is an advisory board member of the Green AI Institute.

As a CoSeC Fellow, Shreyank aims is to advance sustainable, efficient, and deployable AI that works seamlessly across the UK’s accelerator-based digital research infrastructure. He will build cross-disciplinary engagement around responsible computing by embedding an Idea Factory within the 3rd Green AI Summit, fostering collaborations and shaping a national roadmap for sustainable AI. He also aims to equip researchers across fields with practical tools through a training module on efficient and uncertainty-aware AI methods. Overall, Shreyank’s goal is to strengthen CoSeC’s mission by developing accessible methods, enabling inclusive community-building, and promoting best practices for responsible, resource-efficient AI.

Interesting fact: Shreyank represented India (and won a gold!) at the Aloha Mental Arithmetic International Competition when he was 10 years old.