Garber Dan - The Faculty of Data and Decision Sciences

Garber Dan

Associate Professor

Overview
Research

Overview

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.

Research

Machine Learning,

Continues optimization,

large-Scale data analysis,

Design & Analysis of Algorithms.

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