The Israeli Smart Transportation Research Center (ISTRC) at the Technion, in collaboration with Bar-Ilan University, was established jointly by the Smart Mobility initiative in Israel's Prime Minister's Office, and the Council for Higher Education. The aim is to encourage research and development, entrepreneurship, and industry in the field of smart mobility in Israel.
The vision of the Israeli Smart Transportation Research Center is to unite the academic and R&D community and various stakeholders to initiate and leverage Interdisciplinary and Intersectoral research activities that would contribute to smart, efficient, and green transportation, and position Israel as a world leader in the field.
The center collaborates with all academic institutes and researchers in Israel to promote cutting edge research and insights as well as empower and develop human capital in the field. The scholarships are intended to support master and PhD students that their research can contribute to ISTRC vision of Zero Transportation Externalities.
Two of our graduate students, Guy Saar, Ph.D student, and Shay Kricheli, M.Sc student, have won the prestigious scholarship this year.
Guy's research, under supervision of Prof. Meirav Zehavi, focuses on the parameterized complexity of movement problems, which are usually NP-hard. The research tries to establish a powerful and attractive alternative by harassing the well-established toolkit of parameterized complexity to their needs.
Shay's research, under supervision of Prof. Gera Weiss, is done as part of an expanding multidisciplinary team of six researchers from the department of Mechanical Engineering, the department of Software and Information Systems Engineering and the department of Computer Science at Ben Gurion University. The team develops theoretical and applied methods for novel implementations of system controllers, using principles from Artificial Intelligence, Machine Learning and Software Engineering. The proposed methods enable easy design of dynamic controllers for systems, specifically in scenarios of elaborate transportation analysis, where multiple agents have several, possibly conflicting objectives. As a part of the research, Shay and the team have developed a software package using Python, that allows a quick and easy application of the methods proposed.
Way to go!
| 
|
Guy Saar
| Shay Kricheli
|
