Eduard Dragut

Eduard Dragut is an Associate Professor in the Department of Computer and Information Science at Temple University's College of Science and Technology. He received his Ph.D. in Computer Science from the University of Illinois at Chicago, M.S. from the University of Iowa, and B.S. in Computer Science from the University of Bucharest. His research spans databases, information retrieval, extraction, cleaning, and integration, with particular focus on opinion mining, web data management, and cyber-infrastructure for science.

His educational background includes a Ph.D. from University of Illinois at Chicago, M.S. from University of Iowa, and B.S. from University of Bucharest. His research interests cover multiple areas including databases, information retrieval, extraction, cleaning, and integration; opinion mining and retrieval; web data management; and cyber-infrastructure for science. Current research activities focus on record linkage and fusion, deep learning for entity recognition, sentiment analysis, and news mining.

His recent publications demonstrate a consistent focus on information extraction, data integration, and sentiment analysis across various domains including climate science, social media, and scientific literature. His work increasingly bridges traditional database research with machine learning applications, particularly in the areas of entity recognition, knowledge graph construction, and comment analysis.

Professional Service

• Chair SIGMOD/PODS PhD Symposium 2016, San Francisco, USA
• Chair ICDE PhD Symposium 2015, Chicago, USA
• PC Member: SIGMOD 2016, SIGMOD 2015, EMNLP 2015, DASFAA 2015, INFOCOM 2015, NAACL-HLT 2015, WWW 2014, COLING 2014, DASFAA 2014, ADBIS 2014
• Referee for TKDE, TWEB, TSC, TiiS, ISJ, TKDD, JWS, WWWJ
• Served on NSF CISE/IIS panels in 2016

Professor Dragut has advised multiple graduate students including Andrew Thomas Schneider (PhD Fourth Year), Lihong He (PhD Second Year), and Abdullah Aljebreen (PhD First Year). His teaching portfolio includes courses such as Data-Intensive and Cloud Computing, Principles of Data Management, and Topics in Computer Science: Information Retrieval. He has taught consistently from Fall 2013 through Spring 2025, demonstrating his commitment to education in the field of computer science.

He co-authored the book 'Deep Web Query Interface Understanding and Integration' with Weiyi Meng and Clement Yu, contributing significantly to the field of web data integration.