Marta Kwiatkowska

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Marta Kwiatkowska

Marta Kwiatkowska.png
Kwiatkowska in 2018
Born
Marta Zofia Kwiatkowska

1957 (age 6667) [1]
NationalityPolish
CitizenshipBritish
Alma mater
Awards
Scientific career
Fields
Institutions
Thesis Fairness for non-interleaving concurrency  (1989)
Website cs.ox.ac.uk/marta.kwiatkowska

Marta Zofia Kwiatkowska FRS MAE (born 1957) is a Polish theoretical computer scientist based in the United Kingdom. [2] [1]

Contents

Kwiatkowska is Professor of Computing Systems [3] in the Department of Computer Science at the University of Oxford, England, [4] and a Fellow of Trinity College, Oxford. [5] Her research focuses on developing modelling and automated verification techniques for computing systems in order to guarantee safe, secure, reliable, timely and resource-efficient operation. [6] [7]

Education

Kwiatkowska received her Bachelor of Science and Master of Science degrees in Computer Science with distinction summa cum laude from Jagiellonian University in Kraków, Poland. She obtained her PhD in Computer Science from the University of Leicester in 1989. [8] [9]

Career and research

After obtaining her PhD, Kwiatkowska was assistant professor at Jagiellonian University, (1980–1988); research scholar and lecturer in Computer Science at University of Leicester (1984–1994); and lecturer in Computer Science, reader in Semantics for Concurrency, and professor of Computer Science at University of Birmingham (1994–2007). Joining the University of Oxford in 2007, Kwiatkowska was the first female professor in the Department of Computer Science and now heads the Automated Verification research theme. [10] [11]

Kwiatkowska's research develops models and analysis methods for complex systems, as found in computer networks, biological organisms and electronic devices. [12] [13] [14] Kwiatkowska led development of the PRISM probabilistic model checker; [6] [15] PRISM has been downloaded over 79,000 times and there are over 400 papers by external research teams using PRISM (as at January 2021). [16] [17]

Instrumental in the development of probabilistic and quantitative methods in verification on the international scene, Kwiatkowska’s recent work incorporates synthesis from quantitative specifications with a focus on safety and robustness for machine learning and AI. [6] [18] A member of the Global Partnership on Artificial Intelligence (GPAI) 'Responsible AI Working Group', and the Royal Society's 'Digital Technology and the Planet Working Group', Kwiatkowska advocates responsible adoption of trustworthy AI. [19] [20]

As a senior member of OxWoCS, [21] contributor to the Perspektywy Women in Tech Summit and adviser to the Suffrage Science Award (2016), [22] Kwiatkowska encourages women to pursue careers in science.

Kwiatkowska serves on the editorial boards of Information and Computation , [23] Formal Methods in System Design , [24] Logical Methods in Computer Science , [25] Science of Computer Programming [26] and the Royal Society's Open Science . [27]

Projects

Selected talks and lectures

Awards and honours

Kwiatkowska was awarded an Honorary Doctorate at the KTH Royal Institute of Technology in 2014, and is Fellow of ACM, Fellow of EATCS, Fellow of the BCS, a member of Academia Europaea, Fellow of Polish Society of Arts & Sciences Abroad, [33] [34] [35] [36] and member of the American Academy of Arts and Sciences. [37]

Personal life

Kwiatkowska lives in Oxford with her husband, with whom she has a daughter.[ citation needed ]

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References

  1. 1 2 Anon (2017). "Kwiatkowskia, Prof. Marta Zofia" . Who's Who (online Oxford University Press  ed.). Oxford: A & C Black. doi:10.1093/ww/9780199540884.013.U253926.(Subscription or UK public library membership required.)
  2. 1 2 Marta Kwiatkowska publications indexed by Google Scholar OOjs UI icon edit-ltr-progressive.svg
  3. "Marta Kwiatkowska". Department of Computer Science. Retrieved 9 February 2021.
  4. "Department of Computer Science: Marta Kwiatkowska" . Retrieved 28 May 2017.
  5. "Trinity College – Marta Kwiatkowska" . Retrieved 4 December 2017.
  6. 1 2 3 Kwiatkowska, Marta; Norman, Gethin; Parker, David; Sproston, Jeremy (2008), "Verification of Real-Time Probabilistic Systems", Modeling and Verification of Real-Time Systems, London, UK: ISTE, pp. 249–288, doi:10.1002/9780470611012.ch8, ISBN   978-0-470-61101-2 , retrieved 9 February 2021
  7. "Department of Computer Science: Marta Kwiatkowska - Research Overview". cs.ox.ac.uk. Retrieved 9 February 2021.
  8. Kwiatkowska, Marta Zofia (1989). Fairness for non-interleaving concurrency. le.ac.uk (PhD thesis). University of Leicester. hdl:2381/8809. EThOS   uk.bl.ethos.521489. Lock-green.svg
  9. "Prof. Marta Kwiatkowska – AcademiaNet" . Retrieved 4 December 2017.
  10. "About the Department of Computer Science". www.cs.ox.ac.uk. Retrieved 18 January 2024.
  11. "Department of Computer Science - research theme: Automated Verification". www.cs.ox.ac.uk. Retrieved 9 February 2021.
  12. Heath, John; Kwiatkowska, Marta; Norman, Gethin; Parker, David; Tymchyshyn, Oksana (2008). "Probabilistic model checking of complex biological pathways". Theoretical Computer Science . 391 (3): 239–257. doi: 10.1016/j.tcs.2007.11.013 . ISSN   0304-3975. S2CID   2386035.
  13. Huang, Xiaowei; Kwiatkowska, Marta; Wang, Sen; Wu, Min (2017), "Safety Verification of Deep Neural Networks", Computer Aided Verification, Lecture Notes in Computer Science, Cham: Springer International Publishing, vol. 10426, pp. 3–29, arXiv: 1610.06940 , doi:10.1007/978-3-319-63387-9_1, ISBN   978-3-319-63386-2, S2CID   11626373 , retrieved 9 February 2021
  14. Duflot, Marie; Kwiatkowska, Marta; Norman, Gethin; Parker, David (5 July 2006). "A formal analysis of bluetooth device discovery". International Journal on Software Tools for Technology Transfer. 8 (6): 621–632. doi:10.1007/s10009-006-0014-x. ISSN   1433-2779. S2CID   8454983.
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  16. "prismmodelchecker.org". prismmodelchecker.org. Retrieved 9 February 2021.
  17. "External PRISM Bibliography". PRISM Model Checker. Retrieved 9 February 2021.
  18. Wu, Min; Kwiatkowska, Marta (June 2020). "Robustness Guarantees for Deep Neural Networks on Videos". 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 308–317. arXiv: 1907.00098 . doi:10.1109/cvpr42600.2020.00039. ISBN   978-1-7281-7168-5. S2CID   195767577.
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  37. "New members". American Academy of Arts and Sciences. 2023. Retrieved 21 April 2023.