Dr.Huang is a world-renowned researcher and an extraordinary educator. He is internationally respected for his seminal contributions to theoretical foundations of information retrieval that draw on probabilistic modelling and machine learning such as incorporating semantic matching to BM25 probabilistic model, as well as to the demonstration of their applications in industry and his exemplary leadership, firmly establishing him as a global leader in information retrieval, AI and NLP. His proposed task-oriented and context-sensitive information retrieval research brought remarkable impacts and led to some promising research (e.g.,ChatGPT). He is an IEEE Fellow and has 360+ highly reputable publications in top-tier venues.