Deputy Department Chair and Associate Professor, Department of Machine Learning, MBZUAI
Dr. Martin Takac is a Deputy Department Chair and Associate Professor in the Machine Learning Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Biography
Dr. Martin Takáč was an Associate Professor in the Department of Industrial and Systems Engineering at Lehigh University, where he has been employed since 2014. He received his B.S. (2008) and M.S. (2010) degrees in Mathematics from Comenius University, Slovakia, and Ph.D. (2014) degree in Mathematics from The University of Edinburgh, United Kingdom. He received several awards during this period, including the Best Ph.D. Dissertation Award by the OR Society (2014), Leslie Fox Prize (2nd Prize; 2013) by the Institute for Mathematics and its Applications, and INFORMS Computing Society Best Student Paper Award (runner up; 2012).
Dr. Martin’s current research interests include the design and analysis of algorithms for machine learning, applications of ML, optimization, HPC. Martin received funding from various U.S. National Science Foundation programs, including through a TRIPODS Institute grant awarded to him and his collaborators at Lehigh, Northwestern, and Boston University. He currently serves as an Associate Editor for Mathematical Programming Computation, Journal of Optimization Theory and Applications, and Optimization Methods and Software and is an area chair at machine learning conferences like ICML, NeurIPS, ICLR, and AISTATS.
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About Martin Takáč
Dr. Martin Takac is a Deputy Department Chair and Associate Professor in the Machine Learning Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Biography
Dr. Martin Takáč was an Associate Professor in the Department of Industrial and Systems Engineering at Lehigh University, where he has been employed since 2014. He received his B.S. (2008) and M.S. (2010) degrees in Mathematics from Comenius University, Slovakia, and Ph.D. (2014) degree in Mathematics from The University of Edinburgh, United Kingdom. He received several awards during this period, including the Best Ph.D. Dissertation Award by the OR Society (2014), Leslie Fox Prize (2nd Prize; 2013) by the Institute for Mathematics and its Applications, and INFORMS Computing Society Best Student Paper Award (runner up; 2012).
Dr. Martin’s current research interests include the design and analysis of algorithms for machine learning, applications of ML, optimization, HPC. Martin received funding from various U.S. National Science Foundation programs, including through a TRIPODS Institute grant awarded to him and his collaborators at Lehigh, Northwestern, and Boston University. He currently serves as an Associate Editor for Mathematical Programming Computation, Journal of Optimization Theory and Applications, and Optimization Methods and Software and is an area chair at machine learning conferences like ICML, NeurIPS, ICLR, and AISTATS.
| Present | Associate Professor, Mohamed bin Zayed University of Artificial Intelligence ‐ Department of Machine Learning | |
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Disciplines
Research Interests
Professional Service and Affiliations
| 2021 - Present | Associate Editor, Journal of Optimization Theory and Applications | 2019 - Present | Associate Editor, Mathematical Programming Computation | 2019 - Present | Associate Editor, Optimization Methods and Software | 2021 | Area Chair, Annual Conference on Neural Information Processing Systems (NeurIPS) | 2021 | Area Chair, International Conference on Artificial Intelligence and Statistics (AISTATS) | 2021 | Area Chair, International Conference on Learning Representations (ICLR) | 2021 | Area Chair, International Conference on Machine Learning (ICML) | 2021 | Senior Program Committee Member, International Joint Conference on Artificial Intelligence (IJCAI) |
Honors and Awards
- 2014: Best Ph.D. Dissertation Award by the OR Society
- 2013: Awarded second prize in Leslie Fox Prize by the Institute for Mathematics and its Applications
- 2012: Runner-up INFORMS Computing Society Best Student Paper Award
