Emrul Hasan
Emrul Hasan is a Ph.D. candidate in Computer Science at Toronto Metropolitan University, specializing in Multi-criteria Recommendation Systems. He has a strong background in machine learning, deep learning, LLMs, multimodal LLMs and Gen AI, with publications in top-tier conferences and journals. Currently, he is a Machine Learning Technical Specialist at Vector Institute, where he supervises Machine Learning Associates and conducts research in Retrieval-Augmented Generation (RAG) and Recommendation Systems. He previously worked as an Applied Machine Learning Intern at Vector, focusing on news media bias detection problem. He leveraged LLMs and Multimodal LLMs for news annotation, introducing a novel dataset, and fine-tuned multimodal llm for benchmark model development. He has won several prestigious awards including the Ontario Graduate Scholarship (OGS), Ryerson Graduate Fellowship (RGF), International Graduate students Entrance Scholarship (IGSES), and achieved top rankings in AI competitions, including RecTour Challenge 2024. Before TMU, he earned an MS in Physics and Astronomy from the University of Manitoba. He is very passionate about AI and Innovations. Before TMU, he earned an MS in Physics and Astronomy from the University of Manitoba. He is very passionate about AI and Innovations. He likes traveling and Gardening in his spare time.
