Summary
Hung-nghiep Tran is a research scientist and lecturer with 10 years of experience specializing in machine learning, representation learning, and knowledge graph embedding, currently leading research and teaching at the University of Information Technology in Ho Chi Minh City. He has driven state-of-the-art advances in multi-relational embedding and contextual link prediction, producing highly efficient tensor- and neural-based methods implemented in TensorFlow and PyTorch. His work spans practical applications—recommender systems, information retrieval, and question answering—and has contributed to national-scale projects in Japan, including a strategic SIP collaboration on dataset retrieval. A MEXT-funded PhD researcher, he combines deep theoretical insight with hands-on GPU-optimized implementations and a track record of publishing novel methods that balance expressiveness and efficiency. He also mentors students and builds academic-industry bridges, bringing an uncommon blend of rigorous research, production-ready code, and pedagogical impact to applied AI.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The Graduate University for Advanced Studies, SOKENDAI
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Information Technology
English, Vietnamese