Konstantin Burlachenko
Konstantin Burlachenko is a Ph.D. candidate at the KAUST Optimization and Machine Learning Lab under the supervision of Professor Peter Richtarik.
Biography
Konstantin Burlachenko obtained an M.S. degree in Computer Science and Control Systems from the Bauman Moscow State University in 2009.
After his graduation, he worked as a Senior Engineer for Acronis ,Yandex ,NVIDIA, and as a Principal Engineer for HUAWEI. Konstantin attended in Non-Degree Opportunity program at Stanford between 2015 and 2019 and obtained:
One of his sports achievements is the title of candidate Master of Sport in Chess.
Research Interests
Current research interest is mainly focused is on various aspects of Distributed Stochastic Optimization and Federated Learning. The venues that accepted Konstantin’s works include:
- International Conference on Machine Learning (ICML)
- International Conference on Learning Representations (ICLR)
- Transactions on Machine Learning Research (TMLR)
- SIAM Journal on Mathematics of Data Science (SIAM SIMODS)
- ACM International Workshop on Distributed Machine Learning (ACM CoNext)
About
Konstantin Burlachenko is a Ph.D. candidate at the KAUST Optimization and Machine Learning Lab under the supervision of Professor Peter Richtarik. Before joining KAUST, Konstantin worked in several prominent Moscow companies, such as Huawei, NVIDIA, and Yandex. He holds a master’s degree in computer science from Bauman Moscow State Technical University, Russia.
Konstantin's research focuses on large-scale mathematical optimization systems for machine learning and artificial intelligence, especially those requiring high-performance computing approaches.
His dissertation title is ”Optimization Methods and Software for Federated Learning”.
Professional Profile
Service Contributions
- Stakeholder Engagement
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Remote Research Talk for Apple Inc., 2024 - present
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Remote research talk for NVIDIA Inc., 2024 - present
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Joint project with the Saudi Data AI Authority, 2023
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- Service to the Institution
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Preparing Accepted Shaheen III Grand Challenge Project Proposal, 2023 - present
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Awards and Distinctions
- Dean’s Award, KAUST, 2020
- Grant from Saudi Authority for Data and Artificial Intelligence, Saudi Authority for Data and Artificial Intelligence, 2022 - 2023
- AMD Radeon Instinct MI50, AMD Inc., 2023
- Dean’s List Award, KAUST, 2023
Professional Memberships
Qualifications
Education
- Master of Science (M.S.)
- Computer Science, Bauman Moscow State Technical University, Russian Federation, 2009
Licenses and Certifications
- Russian
- Native or bilingual proficiency
- English
- Full professional proficiency
