Nisha Bajiya is a fifth-year PhD scholar at IIIT-Delhi, working with Prof. Gajendra P.S. Raghava on machine learning approaches to cell-penetrating peptides. Her research focuses on predicting CPPs and their subcellular destinations — cytoplasm, nucleus, mitochondria, and more — using models trained on experimentally validated sequences.
Naman Kumar Mehta is a third-year PhD scholar at IIIT-Delhi, working with Prof. Gajendra P.S. Raghava on machine learning approaches to immunoinformatics. His research focuses on predicting immunologically critical molecular interaction of antigen and antibody. He is also working in the area of lysosomal protein cleavage site prediction.
Prof. Raghava leads the Raghava Lab at IIIT Delhi, developing over 300 open-source computational biology tools used worldwide. His research spans immunoinformatics, drug discovery, and protein structure prediction. CPPLocPred is part of his long-standing effort in computational peptide research.