Ziv Freund joined Elbit Systems - EW & SIGINIT - Elisra in 2002 as an Algorithm Engineer. From 2012 to 2017, Ziv managed Elisra's Computer Vision R&D group and designed the algorithms for Elisra's IR-based missile warning systems. Since 2017, he has been leading the AI R&D group at Elisra. Ziv holds a master's degree in Electrical Engineering and Business Administration from Tel Aviv University.

Ayelet is an ML engineer at Meta and was one of the founding team members of multiple Meta Shops initiatives. She was responsible for building several of the major building blocks behind the Shops recommendation system. Besides working at Meta, Ayelet has recently taken up surfing and is an amateur hiking guide. Ayelet holds a B.Sc. in EE from BGU.

Mois Navon is one of the founding engineers of Mobileye, where he designed the EyeQ family of SoC (System On a Chip) - the chip powering the autonomous vehicle revolution. Mois is also an ordained rabbi who has published numerous articles on Jewish law and lore. Working at the intersection of Torah U’Madda, he is currently a pursuing his PhD at the department of Jewish Philosophy at Bar Ilan University where his thesis seeks to apply Jewish philosophy to address the ethical questions arising in the field of artificial intelligence. In this vein, he is also teaching a course on “Ethics in Big Data and Artificial Intelligence” at Ben Gurion University and Yeshiva University. His lectures and writings can be found on his website: www.divreinavon.com.

Tali Dekel is an Assistant Professor at the Mathematics and Computer Science Department at the Weizmann Institute, Israel. She is also a Staff Research Scientist at Google, developing algorithms at the intersection of computer vision, computer graphics, and machine learning. Before Google, she was a Postdoctoral Associate at the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT. Tali completed her Ph.D. studies at the school of electrical engineering, Tel-Aviv University, Israel. Her research interests include computational photography, image/video synthesis, geometry and 3D reconstruction. Her awards and honors include the National Postdoctoral Award for Advancing Women in Science (2014), the Rothschild Postdoctoral Fellowship (2015), the SAMSON - Prime Minister's Researcher Recruitment Prize (2019), Best Paper Honorable Mention in CVPR 2019, and Best Paper Award (Marr Prize) in ICCV 2019.

Ido Dagan is a Professor at the Department of Computer Science at Bar-Ilan University, Israel, the founder of the Natural Language Processing (NLP) Lab at Bar-Ilan, the founder and head of the nationally funded Bar-Ilan University Data Science Institute, and a Fellow of the Association for Computational Linguistics (ACL). His interests are in applied semantic processing, focusing on textual inference, natural open semantic representations, consolidation and summarization of multi-text information, and interactive text summarization and exploration. Dagan and colleagues initiated and promoted textual entailment recognition (RTE, later aka NLI) as a generic empirical task. He was the President of the ACL in 2010 and served on its Executive Committee during 2008-2011. In that capacity, he led the establishment of the journal Transactions of the Association for Computational Linguistics, which became one of two premiere journals in NLP. Dagan received his B.A. summa cum laude and his Ph.D. (1992) in Computer Science from the Technion. He was a research fellow at the IBM Haifa Scientific Center (1991) and a Member of Technical Staff at AT&T Bell Laboratories (1992-1994). During 1998-2003 he was co-founder and CTO of FocusEngine and VP of Technology of LingoMotors, and has been regularly consulting in the industry. His academic research has involved extensive industrial collaboration, including funds from IBM, Google, Thomson-Reuters, Bloomberg, Intel and Facebook, as well as collaboration with local companies under funded projects of the Israel Innovation Authority.

Yoli Shavit is a Research Scientist Team Lead at Huawei TRC and a Postdoctoral Researcher at Bar-Ilan University. Her current research focuses on deep learning methods for camera localization and 3D reconstruction. Before joining Huawei, Yoli worked at Amazon and interned at Microsoft Research. She holds a PhD in Computer Science from the University of Cambridge, an MSc in Bioinformatics from Imperial College London and a BSc in Computer Science and in Life Science from Tel Aviv University. Yoli is the recipient of the Cambridge International Scholarship and her thesis was nominated for the best thesis award in the UK.

Shai Avidan received his Ph.D. degree from the School of Computer Science, Hebrew University, Jerusalem, Israel, in 1999. He is currently a professor in the Faculty of Engineering, Tel Aviv University. In between, he worked for Adobe, Mitsubishi Electric Research Labs, MobilEye, and Microsoft Research. He is an expert on Computer Vision and Graphics with more than a hundred publications in peer-reviewed venues. He also served as chair of various conferences and editor for one of the leading journals in the field

Ami is a research scientist at Meta’s Core Data Science team, and has been working with Novi (Meta Financial Services) over the past few years. He holds a PhD in electrical engineering from Tel Aviv University, and is the proud father of three girls (11, 8, 8) who are also in the field of data science (although they don’t know that yet).

Professor of Electrical Engineering at Tel Aviv University. Before joining Tel Aviv University, he worked for four years at the Networking Center of Bell Labs, Holmdel, NJ. He published seminal papers in the fields of caching, routing, IP hijack attacks, and network measurements. In recent years, he has been working on usage of AI to solve networking problems in the areas of traffic classification and detection of routing manipulations.

Ziv heads Israel’s National Program for AI Infrastructure, which is a coordinated, collaborative government effort aimed at ensuring Israel’s future leadership in the global AI arena. The program is focused on the long-term infrastructure required for promoting sustained innovation and growth. At its first stage, the program focuses on four pillars – Establishing an Israeli High-Performance Computer; Creating infrastructure for Natural Language Processing in Sematic languages that will fuel innovation and support AI assimilation in public sector services; Extending human capital in the Israeli academia and removing regulatory barriers to AI based innovations. The program is a mutual effort of Israel’s Ministry of Innovations, Science and Technology, Israeli Innovation Authority, the Directorate of Defense Research and Development, the Higher Education Council and the Ministry of Finance. Ziv is a versatile multi-disciplinary technologist with profound knowledge of Artificial Intelligence, communication networks, big data, and distributed systems. He is an experienced manager with proven capabilities of working at matrix environments as well as direct management skills, a versed innovation leader, and a growth-oriented CTO. Ziv holds a MSc. degree from the department for Software and Information Systems Engineering at the Ben Gurion’s University of the Negev and is about to complete his PhD studies researching the vulnerability of AI systems to adversarial manipulaitons.

Colonel retired, 24 years of service at 8200, Intelligence corps, Cyber R&D and Operations. Head of 3060, AI Technological R&D unit, Responsible for developing Data Science systems and applications. 

Avishai is an applied research scientist at Intel’s internal AI group, IT AI. This global group utilizes AI to upgrade and transform Intel’s critical processes, from architecture and design, through manufacturing to sales. Avishai joined the group in 2016, and focuses on developing AI models that improve the hardware’s power and performance. He holds an MSc in Statistics from the Hebrew University, where he also completed his BSc studies (with honors).

Dr. Daniel Nevo is an Assistant Professor in the Department of Statistics and Operations Research at Tel Aviv University since 2018. Before that he was a postdoctoral fellow at Harvard Departments of Biostatistics and Epidemiology (2016-2018). Daniel Received his PhD in Statistics from the Hebrew University of Jerusalem (2016). Daniel’s research focuses on causal inference in widespread domains, and specifically on developing and implementing causal inference methods for real-life problems. Daniel has been collaborating with clinicians, epidemiologists, economists, and computer scientists in academia and health organizations to reach conclusions about causal effects from rich datasets.

Ofir Bibi is the VP Research at Lightricks. Bringing the latest and greatest in ML to the core of consumer products, creating efficient research pipelines, methodologies and growing great researchers. His research interests are in the fields of efficient machine learning, statistical signal processing, computational photography and computer graphics. He has taken leading research positions in building systems for estimation and prediction, market optimization and recommendations, but his true passion is in solving challenges by a precise mix of engineering and research.

Amit is in charge of developing and deploying the Directorate's domestic and international legal policy, and manages the INCD legal department. This includes legal counsel for policy, regulation and operations. Amit has been active in law, technology and policy issues within government since 2002, including Copyright law, Data Protection and Privacy, Electronic signatures, E-government, and Cybersecurity, and has represented the Israeli government in the Israeli Knesset, and in the international sphere. In 2019 Amit represented Israel in the drafting of the OECD Recommendations on AI. Before joining the INCD in 2014 to set up its legal department, Amit was Head of the Legal Department in the Israeli Law Information and Technology Authority in the Ministry of Justice (ILITA), now renamed The Privacy Protection Authority, Israel's Data Protection Authority. In this context he was involved in international data protection issues, including the EU Adequacy finding of Israel's Data Protection regime and in the OECD. Since 2013, Amit teaches a graduate course on Law and Information Technology in the Center for Law and Technology in the Haifa University Faculty of Law, and since 2021 also in the TAU Graduate program on Cyber, Politics and Government.