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Sophia Ananiadou is a Professor in the School of Computer Science at the University of Manchester, where she leads the National Centre for Text Mining (NaCTeM), the only publicly funded center of its type in the world. With over 400 peer-reviewed publications and an H-index of 64, she is among the top cited scholars in text mining globally. Ananiadou's main research interests include Natural Language Processing, Text Mining, and Computational Terminology. Her contributions to the field include the development of the C-value method for automatic term recognition, which has been widely adopted internationally. Ananiadou has played a significant role in connecting academia with industry, collaborating with major companies like IBM and Pfizer. She has supervised numerous successful projects in text mining, bioinformatics, and information extraction across various domains, including biology and medicine. Ananiadou is also involved in multiple ongoing research projects, contributing to advancements in AI and healthcare. Her accolades include the IBM UIMA innovation award and recognition as a Daiwa award winner.
University of Geneva • Geneva
Worked on machine translation projects.
Department of Computational Linguistics, UMIST • Manchester
Assisted in various linguistic research projects.
Language Engineering, UMIST • Manchester
Conducted independent research in language engineering.
Manchester Metropolitan University • Manchester
Taught and supervised students in computing.
School of Computing Science and Engineering, University of Salford • Salford
Led courses in computer science and supervised research.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.