Hallak Nadav - The Faculty of Data and Decision Sciences

Hallak Nadav

Assistant Professor

Overview
Research

Overview

Assistant Professor Nadav Hallak joined the faculty in 2020. He has received his Ph.D. in Industrial Engineering and Management from the Technion in 2018. Nadav has held a Post-Doctoral position at the Tel Aviv University during the years 2018-2019 and at the École polytechnique fédérale de Lausanne (EPFL) from 2019 to 2020.

Nadav’s research interests Include: Continuous Optimization, Non-Convex Optimization, First-Order Methods, Optimization for Machine Learning Applications

Research

Continuous Optimization: Theory and Algorithms First and Second Order Methods Nonconvex Optimization Sparse Optimization: Theory and Algorithms Applications in Machine Learning, Engineering, Finance and Science

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