Presenter

Eldan Cohen is an Assistant Professor of Industrial Engineering in the Department of Mechanical & Industrial Engineering. His research interests include machine and deep learning, heuristic search and optimization, and scalable data mining, with emphasis on interpretable and human-compatible approaches. In recent years, he worked on applications in healthcare, automated planning, natural language processing, and software engineering. Prior to joining MIE, he was a postdoctoral fellow in the Department of Computer Science at the University of Toronto and the Vector Institute for Artificial Intelligence. He obtained his Ph.D. in the Department of Mechanical & Industrial Engineering at the University of Toronto, working on heuristic search algorithms for automated planning and neural sequence decoding, and has worked as a research intern at the Fujitsu Laboratories of America, developing unsupervised machine learning algorithms for specialized optimization hardware.