Ankit Das is an EPSRC/Hinduja PhD Research Scholar at the EPSRC CDT in Advanced Engineering for Personalised Surgery and Intervention (AE-PSI), affiliated with the School of Biomedical Engineering and Imaging Sciences, King’s College London. Ankit’s doctoral research focuses on ‘Intelligent deep learning neuroimaging system for guiding brain tumour treatment’, under the supervision of Dr Jonathan Shapey and Prof Tom Vercauteren.

His research interests lie in the thrust area of Medical Image Analysis, Deep Learning, and Explainable AI, with major contributions focused on integrating novel vision paradigms within optimized lightweight neural networks for medical image segmentation. In retrospect, Ankit completed his under-graduation in Bachelor of Technology in Computer Science and Engineering (B.Tech CSE) with first division in 2024. In 2025, he was conferred the degree of Master of Science (MSc) in Data Science, achieving a ‘Merit’ classification from the University of Glasgow, where he was awarded the India Merit Award (GBP 5,000), the International Leadership Scholarship (GBP 10,000), and the International Excellence Award (GBP 10,000).

Prior to joining King’s, Ankit served as a Research Assistant and subsequently as a Visiting Researcher at the CMATER, Department of CSE, Jadavpur University. Since the inception of his research career, Ankit has contributed to Q1 publications (IEEE TIM etc.), while he also contributes as a reviewer for several Q1 journals. Beyond research, Ankit is a bibliophile, cricketer, visual artist and an aficionado of photography.

Interests
  • Machine Learning
  • Computer Vision
  • Medical Image Computing
  • Lightweight Deep Learning Frameworks
  • Contrastive Representation Learning
  • Explainable AI