Mehrnoosh Sadrzadeh

Last updated
Mehrnoosh Sadrzadeh
Born
Iran
Alma mater Université du Québec à Montréal
Sharif University of Technology
Scientific career
Institutions Queen Mary University of London
University College London
Thesis Actions and resources in epistemic logic.  (2007)
Doctoral advisor Mathieu Marion
Alexandru Baltag

Mehrnoosh Sadrzadeh is an Iranian British academic who is a professor at University College London. She was awarded a senior research fellowship at the Royal Academy of Engineering in 2022. [1]

Contents

Early life and education

Sadrzadeh is from Iran. She received her undergraduate and master's degrees at Sharif University of Technology. [2] After earning her master's degree Sadrzadeh moved to Canada. She was a doctoral researcher first at the University of Ottawa, where she was awarded an Ontario Graduate Scholarship, a University of Ottawa Excellence Scholarship, and a Canada Female Doctoral Student Award, and then at the Université du Québec à Montréal.[ citation needed ] Her research considered epistemic logic. [3] Alongside earning her doctorate, Sadrzadeh moved to the University of Oxford as an EPSRC postdoctoral fellow. [4]

Research and career

In 2011, Sadrzadeh was awarded an Engineering and Physical Sciences Research Council Career Acceleration Fellowship. [5] She was appointed to the faculty at Queen Mary University of London, where she combined statistical and logical methods to study how language works. [6]

Whilst machine learning can improve reasoning about textual data, systems making use of machine learning cannot be translated to all applications. Sadrzadeh develops tensor-based mathematical models to improve these processes by combining logic, statistics and machine learning to strengthen the information from textual data. These models are based on the DisCoCat framework that she introduced with Bob Coecke and Stephen Clark. She was awarded two industrial fellowships from the Royal Academy of Engineering, [7] which allowed her to build partnerships with the BBC. In particular she concentrated on the development of tensorial analysis for textual understanding of subtitles and news. [8] At the time it was estimated that the average adult spends about one and a half years of their lives trying to device what to watch on broadcasting platforms. [8] Sadrzadeh looks to improve the quality and accuracy of recommendation algorithms. [9]

Sadrzadeh is involved in the conference SemSpace (Semantic Spaces at the Intersection of NLP, Physics, and Cognitive Science). In 2020, Sadrzadeh gave a talk "Gaussianity and typicality in matrix distributional semantics" [10] [11] and in 2021 she was co-organiser. [12] [13] In 2022, Sadrzadeh was awarded a Royal Academy of Engineering Senior Fellowship. [14]

Selected publications

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References

  1. ↑ "Royal Academy of Engineering awards Senior Research Fellowship to UCL academic". University College London (UCL). April 2022. Retrieved 2023-05-20.
  2. ↑ "Quantum Linguistics - Mehrnoosh Sadrzadeh". Goldsmiths, University of London. Retrieved 2022-03-26.
  3. ↑ Sadrzadeh, Mehrnoosh (2007). Actions and resources in epistemic logic (Thesis). Ottawa: Library and Archives Canada. OCLC   245555533.
  4. ↑ "EPSRC Career Acceleration Fellowship awarded - University of Oxford, Department of Computer Science" . Retrieved 2023-05-21.
  5. ↑ "Foundational Structures for Compositional Meaning at UKRI".
  6. ↑ "Mehrnoosh Sadrzadeh". The Conversation. 3 December 2015. Retrieved 2022-03-26.
  7. ↑ "Mehrnoosh Sadrzadeh awarded industrial fellowship". Royal Academy of Engineering. Retrieved 2023-05-20.
  8. 1 2 "Dr Mehrnoosh Sadrzadeh Industrial Fellow and Associate Professor (Reader) within the Department of Computer Science at UCL".
  9. ↑ Cagali, Taner; Sadrzadeh, Mehrnoosh; Newell, Chris (2021). "Enhancing Personalised Recommendations with the Use of Multimodal Information". 2021 IEEE International Symposium on Multimedia (ISM) (PDF). pp. 186–190. doi:10.1109/ISM52913.2021.00037. ISBN   978-1-6654-3734-9. S2CID   245867512 . Retrieved 2023-05-20.
  10. ↑ Gaussianity and typicality in matrix distributional semantics. SemSpace 2020. Retrieved 2023-05-20– via YouTube.
  11. ↑ "SemSpace 2020" . Retrieved 2023-05-20.
  12. ↑ "SemSpace 2021 Proceedings" (PDF). Retrieved 2023-05-20.
  13. ↑ "SemSpace 2021" . Retrieved 2023-05-20.
  14. ↑ "New industry-academia partnerships announced to address major engineering challenges" . Retrieved 20 August 2024.
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