Assistant Professor, Department of Machine Learning, MBZUAI
Dr Samuel Horváth is an Assistant Professor in the Machine Learning Department a tMohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Biography
Prior to joining MBZUAI, Horváth completed his M.Sc. (2018) and Ph.D. (2022) in statistics at King Abdullah University of Science and Technology (KAUST) in Kingdom of Saudi Arabia. He has a relatively rich industrial experience obtained via research internships, including Amazon Scalable Machine Learning, Germany (2019), Samsung AI Centre, United Kingdom (2020), and Facebook AI Research, Canada (2021).
Horváth’s research interests lie at the intersection of mathematics, computer science, machine learning, optimization, and statistics, with a particular focus on federated learning.
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About Samuel Horváth
Dr Samuel Horváth is an Assistant Professor in the Machine Learning Department a tMohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Biography
Prior to joining MBZUAI, Horváth completed his M.Sc. (2018) and Ph.D. (2022) in statistics at King Abdullah University of Science and Technology (KAUST) in Kingdom of Saudi Arabia. He has a relatively rich industrial experience obtained via research internships, including Amazon Scalable Machine Learning, Germany (2019), Samsung AI Centre, United Kingdom (2020), and Facebook AI Research, Canada (2021).
Horváth’s research interests lie at the intersection of mathematics, computer science, machine learning, optimization, and statistics, with a particular focus on federated learning.
| Present | Assistant Professor, Mohamed bin Zayed University of Artificial Intelligence ‐ Department of Machine Learning | |
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Disciplines
Research Interests
Honors and Awards
- Dean’s list, Academic Excellence Award, KAUST 2022
- Al Kindi Statistics Research Student Award, KAUST 2021
- Best Poster Award at the Data Science Summer School(DS3), Ecole Polytechnique, France, 2018
- Best Paper Award at the NeurIPS 2020 Federated Learning Workshop
- Best Reviewer Award at NeurIPS 2020
- Top Reviewer Award at NeurIPS 2019
