The School of Computing has added to its talented staff with the appointment of Shoaib Jameel, a\u00a0Lecturer based at the\u00a0Medway Campus. As well as teaching on the Computing programmes, Shoaib will be an active member of the\u00a0Data Science Group, continuing his research in\u00a0probabilistic topic models, Bayesian nonparametric statistics, vector space embeddings, natural language processing, optimization, and information retrieval.<\/p>\n
Shoaib Jameel\u00a0gained his Bachelor\u2019s degree in Computer Science and Engineering in\u00a0India, then completed his PhD programme in the Department of Systems Engineering and Engineering Management at the Chinese University of Hong Kong in 2014.<\/p>\n
After his PhD, he worked at\u00a0Cardiff University as a postdoctoral researcher \u00a0on vector space embeddings\u00a0for flexible reasoning with structured knowledge. Shoaib has collaborated with researchers from both industry and academia, for example, Microsoft Research, Carnegie Mellon University, NTT Communications (Japan),\u00a0Noah\u2019s Ark Labs\u00a0(Hong Kong)\u00a0and the Institute of Infocomm\u00a0(Singapore). Shoaib has consistently published in several highly selective conferences and journals, such as SIGIR, TOIS, CIKM, ECAI and AAAI. He has also served as a programme committee member for several top-tier conferences and has reviewed for\u00a0leading journals. His works have been funded by the Hong Kong Government and\u00a0Microsoft Research Asia.<\/p>\n
He said; “I am really excited to start a new role in the University of Kent. The staff at Medway are so friendly and I enjoy working with them.\u00a0I want to make notable contributions in both teaching and research at Kent.\u00a0I am passionate about information retrieval and web search. Web search is always challenging due to the huge amounts of data that is available online. Indexing and searching for relevant information\u00a0on\u00a0such massive collections of data is a serious\u00a0task. The\u00a0aim of my research is to propose\u00a0novel\u00a0scalable\u00a0computational models for retrieval and relevance\u00a0ranking. My vision is to see web search engines robust enough to handle spamming and bias against a particular person or community. I also aim to incorporate social network data into retrieval ranking problems.”<\/p>\n","protected":false},"excerpt":{"rendered":"