Summary
Sekh Islam is a first-year PhD student at the CopenNLU group, University of Copenhagen, with eight years of research and engineering experience spanning misinformation detection, NLP, and graph representations. Previously a Research Engineer at NYU Abu Dhabi and an MS Researcher at IIT Kharagpur, he has applied BERT-based and constrained generation methods to problems like relation extraction, fair data augmentation, and controlled text generation. His recent work focuses on aspect-based sentiment analysis, interpretability, concept mining, and debiasing language models, blending empirical engineering with principled research. Notably, he has experience translating research prototypes into practical systems—from adapting self-supervised models for e-commerce relation extraction to deploying fairness-driven language model augmentations accepted at NeurIPS-W. Based in Copenhagen, he combines strong academic training with hands-on industry collaborations and a keen interest in graph-informed NLP.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Københavns Universitet - University of Copenhagen
B.Tech, Computer Science, 9.13, B.Tech, Computer Science, 9.13 at Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT
MS by Research, Computer Science, MS by Research, Computer Science at Indian Institute of Technology, Kharagpur
Bengali, Hindi, English