Sophia Ananiadou

Professor Sophia Ananiadou
Nationality British, Greek
Alma mater University of Athens
Awards IBM Innovation Award (3 times)

The Daiwa Adrian Prize for joint UK-Japan research collaboration

Japanese Ministry of Education, Japan Trust, award
Scientific career
Fields Natural language processing
text mining
Institutions University of Manchester
Website www.nactem.ac.uk/staff/sophia.ananiadou/

Sophia Ananiadou is a British computer scientist. She led the development of the first publicly-funded text mining group in the world, the National Centre for Text Mining (NaCTeM). She currently works at University of Manchester as the director of NaCTeM and also as a professor in the School of Computer Science.[1]

She also works on Facta+, a searchable database which finds associations between biomedical concepts, based on data-mining from relevant scientific literature.[2]

Education

Ananiadou received a Bachelor of Arts from the University of Athens, a DEA in Linguistics from Paris VII, Jussieu, France, a DEA in Literature from Paris IV, Sorbonne, France and a Ph.D in Computational linguistics from the University of Manchester Institute of Science and Technology (UMIST). [1]

Career

Ananiadou was a senior lecturer at Manchester Metropolitan University from 1993 to 1999, and a senior lecturer at the School of Computing Science and Engineering, University of Salford from 2000 to 2005.[1]

Sophia Ananiadou has published extensively since 1986.[3]

Awards

Ananiadou has received the IBM UIMA innovation award 3 consecutive times and is also a Daiwa award winner. [1]

References

  1. 1 2 3 4 "Prof Sophia Ananiadou research profile - personal details". The University of Manchester. Retrieved 2017-10-29.
  2. ↑ Hodson, Hal (2014-08-24). "Supercomputers make discoveries that scientists can't". New Scientist. Retrieved 2017-10-29.
  3. ↑ Ananiadou, Sophia. "List of publications". University of Manchester.


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.