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职业迁徙
个人简介
Prasenjit Mitra is a professor in the College of Information Sciences and Technology in the area of Data Sciences and Artificial Intelligence. His current research interests are in the areas of applied machine learning, natural language processing, big data analytics, and visual analytics especially in application areas such as social media analytics, digital libraries, medical informatics, wildlife informatics, sports analytics, etc. In the past, he has contributed to the areas of data interoperation, data cleaning, and digital libraries especially in tabular data extraction, information retrieval, and citation recommendation.
He was the principal investigator of the DOES project funded by the NSF CAREER Award. He has also been the co-principal investigator of the CiteSeerX, ChemXSeer, and ArchSeer digital library projects, the Regional Visualization and Analytics Center (NEVAC), and the GeoCAM visual analytics projects. Mitra serves as the director of the Cancer Informatics Initiative at Penn State. His research has been supported by the NSF, Microsoft Corporation, DoD, DHS, DoE, NGA, and DTRA.
Mitra has co-authored approximately 150 articles at top conferences and journals. His work along with his co-authors has resulted in a visual analytics system that was awarded the IEEE VAST '08 Grand Challenge award in the Data Integration area. He has served as the co-chair of the IEEE SOCIETY conference, and as an area chair, and a senior program committee member at top conferences such as CIKM, and IJCAI, respectively. Mitra has been a member of the Best Paper Award committee for CIKM'15 and the co-chair of four workshops including SNAKDD'09, WIDM'09, and WIDM'12. He has also served on the program committee of several top conferences including SIGMOD, VLDB, AAAI, IJCAI, WWW, CIKM, WSDM, KDD, and ICDM, and serves on the editorial board of the Journal of Data Mining and Digital Humanities. He has supervised over 15 Ph.D. students; and several M.S. students.
He was the principal investigator of the DOES project funded by the NSF CAREER Award. He has also been the co-principal investigator of the CiteSeerX, ChemXSeer, and ArchSeer digital library projects, the Regional Visualization and Analytics Center (NEVAC), and the GeoCAM visual analytics projects. Mitra serves as the director of the Cancer Informatics Initiative at Penn State. His research has been supported by the NSF, Microsoft Corporation, DoD, DHS, DoE, NGA, and DTRA.
Mitra has co-authored approximately 150 articles at top conferences and journals. His work along with his co-authors has resulted in a visual analytics system that was awarded the IEEE VAST '08 Grand Challenge award in the Data Integration area. He has served as the co-chair of the IEEE SOCIETY conference, and as an area chair, and a senior program committee member at top conferences such as CIKM, and IJCAI, respectively. Mitra has been a member of the Best Paper Award committee for CIKM'15 and the co-chair of four workshops including SNAKDD'09, WIDM'09, and WIDM'12. He has also served on the program committee of several top conferences including SIGMOD, VLDB, AAAI, IJCAI, WWW, CIKM, WSDM, KDD, and ICDM, and serves on the editorial board of the Journal of Data Mining and Digital Humanities. He has supervised over 15 Ph.D. students; and several M.S. students.
研究兴趣
论文共 421 篇作者统计合作学者相似作者
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引用量
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NeurIPS 2024 (2024)
arXiv (Cornell University) (2024)
International Journal of Information Technologypp.1-13, (2024)
Nan Zhang,Prafulla Kumar Choubey,Alexander Fabbri, Gabriel Bernadett-Shapiro,Rui Zhang,Prasenjit Mitra,Caiming Xiong, Chien-Sheng Wu
arxiv(2024)
arXiv (Cornell University) (2024)
Ali Rasekh, Reza Heidari, Amir Hosein Haji Mohammad Rezaie, Parsa Sharifi Sedeh,Zahra Ahmadi,Prasenjit Mitra,Wolfgang Nejdl
CoRR (2024)
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arXiv (Cornell University) (2024)
Proceedings of the International AAAI Conference on Web and Social Media (2024): 462-473
PROCEEDINGS OF THE 2024 SIAM INTERNATIONAL CONFERENCE ON DATA MINING, SDMpp.607-615, (2024)
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作者统计
#Papers: 422
#Citation: 14101
H-Index: 58
G-Index: 105
Sociability: 7
Diversity: 2
Activity: 23
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