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Associate Professor Dan Garber joined the Faculty of Industrial Engineering and Management at the Technion in 2017. He received his Ph.D from the Technion in 2015 and spent one year (2016) as a Research Assistant Professor at Toyota Technological Institute in Chicago.
Dan's research interests lie in the intersection of machine learning and continuous optimization. His main focus is on the development of efficient algorithms with novel and provable performance guarantees for machine learning, large-scale data analysis, sequential decision making and optimization problems.
The Technion Optimization Lab (TOL) –
- Fundamental research in the area of Continuous Optimization and its applications, with emphasis on developing novel optimization methodologies, models and algorithms
- Applications of optimization models and techniques in Engineering, Medicine, Industry, etc.
- Supervising and supporting graduate research projects in the area of Continuous Optimization
- Disseminating advances in optimization techniques via organizing workshops, schools, seminars, etc