معرفی
Rohit Babbar is a Senior Lecturer in the Department of Computer Science at the University of Bath, specializing in Artificial Intelligence and Machine Learning. His research focuses on extreme multi-label classification, deep learning, and algorithmic optimization for complex performance metrics. He contributes to UN Sustainable Development Goals through his work in these technical domains.
Dr. Babbar leads the NERC GW4+ project on leveraging deep learning to uncover hidden patterns in FDA adverse event data, demonstrating expertise in applying machine learning to real-world problems. His recent research emphasizes scalable solutions for high-dimensional classification tasks and improving algorithmic efficiency.
His publications span conferences like ACL, KDD, and WWW, reflecting contributions to computational linguistics, neural network architectures, and online learning systems. He actively collaborates on international projects, such as FAERS data analysis and label correlation studies in extreme classification scenarios.
