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职业迁徙
个人简介
I am a Lecturer (~Assistant Professor) in Data Science in the School of Computer Science at the University of Lincoln, and a member of the Machine Learning Group. Prior to joining Lincoln, I received my PhD in Computer Science from the University College London, where I was with the Media Futures Group and the Centre for Doctoral Training in Financial Computing and Analytics. I am a Visiting Research Fellow at the University of Bath School of Management, and an Associate Editor of Electronic Commerce Research and Applications. I have served as reviewer for Information and Management, Journal of the American Society for Information Science and Technology, WWW, SIGIR, AISTATS, WSDM, CIKM, ICANN, etc. Previously, I was a Visiting Scholar at the National University of Singapore, Internship Researcher at Microsoft Research Cambridge, Data Scientist & Quantitative Consultant in several IT and financial companies.
My research interests are broadly in the overlap among machine learning, data mining and business analytics. I am interested in developing intelligent algorithms and data solutions around three main themes: computational advertising, quantitative finance, and computer information systems. If you are interested in my research or have any suggestions, please get in touch with me.
My research interests are broadly in the overlap among machine learning, data mining and business analytics. I am interested in developing intelligent algorithms and data solutions around three main themes: computational advertising, quantitative finance, and computer information systems. If you are interested in my research or have any suggestions, please get in touch with me.
研究兴趣
论文共 120 篇作者统计合作学者相似作者
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期刊级别
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERINGno. 5 (2024): 2239-2256
arXiv (Cornell University) (2024): 2866-2875
IEEE INTERNET OF THINGS JOURNALno. 3 (2024): 3690-3701
NANOTECHNOLOGYno. 20 (2024)
IEEE Internet of Things Journalno. 99 (2024): 1-1
Social Science Research Network (2023)
OPTICS LETTERSno. 9 (2023): 2421-2424
2023 IEEE International Conference on Big Data (BigData) (2023)
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作者统计
#Papers: 121
#Citation: 1327
H-Index: 21
G-Index: 31
Sociability: 6
Diversity: 1
Activity: 2
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