The Department of Computer Science is happy to announce that two excellent new faculty members are joining the department, starting October 2018: Dr. Gil Einziger and Dr. Uri Stemmer
Below are short descriptions of their research and the new exciting classes they will teach this year.
Dr. Gil Einziger
In 2015 Gil received a Ph.D. from the Technion under the supervision of Prof. Roy Friedman. He then spent a year as a postdoctoral fellow at the Polytechnic University of Turin with Prof. Carla-Fabiana Chiasserini. Afterward, he has spent the last two years as a researcher in Nokia Bell Labs. Three of his authored papers received the runner-up awards and one won the best paper award in ICDCN 2018.
Gil's research is multi-disciplinary in the fields of system design and networking. His research has a strong focus on applied methods to be used by the open source community. He is involved with the Caffeine open-source caching project and is a co-author of the W-TinyLFU cache management algorithm which is used in numerous large open source projects as well as by industry giants. He is also involved in the OpenStack community where his recent research paper about the allocation of virtual machines to hosts in a cloud has gained much attention from the community. In the field of networking, Gil is mostly interested in network measurement techniques and in network security.
He is currently looking for a system oriented student for a collaboration project with Prof. Carla-Fabiana Chiasserini in the polytechnic university of Turin, Italy.
Teaching this year:
In the fall semester Gil will teach a class on network measurement and security. In the spring semster Gil will teach Principles of Programming Languages.
Dr. Uri Stemmer
Before joining Ben-Gurion University, Uri was a post-doctoral researcher at the Weizmann Institute of Science, and a post-doctoral fellow at the Center for Research on Computation and Society, Harvard University. He studied at Ben-Gurion University with Prof. Amos Beimel and Prof. Kobbi Nissim as advisors.
Uri’s research is focused on differential privacy, a formal mathematical framework for guaranteeing privacy protection when analyzing data. Recently emerging from the theoretical computer science literature, differential privacy is now in initial stages of implementation and use in various academic, industry, and government settings.
Look at your iPhone for example. Do you think that Apple is "listening"? Do you care? Over the last year, big corporations like Google, Apple, and Microsoft have been utilizing differentially private algorithms in order to collect high-quality aggregate information from their users, while guaranteeing their users that no individual-specific information is even being collected.
Teaching this year:
This year Uri will be teaching a course on privacy preserving data analysis, and two courses on cryptography.