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Foutse Khomh

From Wikipedia, the free encyclopedia
Foutse Khomh
NationalityCanadian
Alma materUniversity of Montreal
Known forResearch in software maintenance and evolution, machine learning systems engineering
AwardsIEEE Senior Member, Arthur B. McDonald Fellowship
Scientific career
FieldsSoftware engineering, Machine learning
InstitutionsPolytechnique Montréal, Mila, CIFAR
Thesis (2011)

Foutse Khomh is a Canadian computer scientist and full professor of software engineering at Polytechnique Montréal, Canada Research Chair Tier 1 on Trustworthy Intelligent Software Systems, a Canada CIFAR AI Chair in Trustworthy Machine Learning Software Systems, and an FRQ-IVADO Research Chair in Software Quality Assurance for Machine Learning Applications. His research has contributed to the understanding of software maintenance and evolution, machine learning systems engineering, cloud engineering, and dependable and trustworthy ML/AI.[1][2][3]

Education

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Khomh completed his Ph.D. in Software Engineering from the University of Montreal in 2011, where he was recognized for his doctoral research.[4]

Career

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Khomh has held various positions in software engineering. He has served as General co-chair and program co-chair for several international conferences and is a member of numerous editorial boards. His research focuses on software maintenance and evolution, machine learning systems engineering, cloud engineering, and dependable and trustworthy ML/AI.[5]

Awards and recognition

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Khomh has been honored with several awards, including the Arthur B. McDonald Fellowship, the Honoris Genius Prize - Engineering Research or Teaching from the Ordre des ingénieurs du Québec,[5] and a Best Paper Award from the IEEE Computer Society.[5]

References

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  1. ^ "Foutse Khomh". Retrieved 2024-05-15.
  2. ^ "Foutse Khomh - Mila". Retrieved 2024-05-15.
  3. ^ "Khomh, Foutse". Polytechnique Montréal. 10 October 2017.
  4. ^ "Foutse Khomh - CIFAR". Retrieved 2024-05-15.
  5. ^ a b c "Two Polytechnique professors ranked among world's most productive software engineering researchers". 18 August 2021. Retrieved 2024-05-15.
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