Sarit Kraus (Ph.D. Computer Science, Hebrew University, 1989) is a Professor of Computer Science at Bar-Ilan University. Her research is focused on intelligent agents and multi-agent systems integrating machine-learning techniques with optimization and game theory methods. In particular, she studies the development of intelligent agents that can interact proficiently with people and with robots. She has also contributed to the research on machine learning, XAI, agent optimization, robustness, autonomous vehicles, homeland security, adversarial patrolling, social networks and nonmonotonic reasoning.
For her work, she received many prestigious awards. She was awarded the IJCAI Computers and Thought Award, the IJCAI Research Excellent Award, the ACM SIGART Agents Research Award, the ACM Athena Lecturer, the EMET prize, and was twice the winner of the IFAAMAS influential paper award. She is an ACM, AAAI and EurAI fellow and a recipient of the advanced ERC grant. She also received a special commendation from the city of Los Angeles, together with Prof. Tambe, Prof. Ordonez and their USC students, for the creation of the ARMOR security scheduling system. She has published over 400 papers in leading journals and major conferences, co-authored five books and was IJCAI-2019 program chair and was elected as IJCAI-2027 conference chair. She is an elected member of the Israel Academy of Sciences and Humanities.
Sarah Keren is a senior lecturer (assistant professor) at The Taub Faculty of Computer Science at the Technion - Israel Institute of Technology where she leads the Collaborative AI and Robotics (CLAIR) lab
https://clair.cs.technion.ac.il.
Before joining the Technion, Sarah was a postdoctoral fellow at Harvard University and Hebrew University of Jerusalem. She received her PhD from the Technion.
Sarah’s research focuses on providing theoretical foundations for AI systems that are capable of effective collaboration with each other and with people. She has received several awards, including the ICAPS 2020 Best Dissertation Honorable Mention, the ICAPS 2014 Honorable Mention for Best Paper, the Eric and Wendy Schmidt Postdoctoral Award for Women in Mathematical and Computing Sciences, and the Weizmann Institute of Science National Postdoctoral Award for Advancing Women in Science. Sarah’s work has been published in leading conferences and journals for AI and robotics, including IJCAI, AAAI, ICAPS, NeurIPS, AAMAS, JAIR, KR and IROS.
Reuth Mirsky is a senior lecturer in the computer science department at Bar Ilan University. Before her current position, she was a postdoc at the Computer Science Department at the University of Texas at Austin. She received her Ph.D. on plan recognition in real-world environments from the Department of Software and Information Systems Engineering at Ben Gurion University. In her research, she seeks algorithms, behaviors, and frameworks to improve AI with human-inspired design. Some of her recent roles are a program chair for the symposium on Technological Advances in Human-Robot Interactions (TAHRI), a guest editor in Frontiers of Artificial Intelligence in a special issue on Plan and Goal Recognition, and a senior program committee member for ECAI. Reuth is part of the HRI consortium funded by the Israeli Innovation Authority and was selected as one of the 2020 Electrical Engineering and Computer Science (EECS) Rising Stars. https://sites.google.com/site/dekelreuth/
Avishai Sintov is an assistant professor in the School of Mechanical Engineering at Tel-Aviv University (TAU) and the head of the Robotics lab. He received his B.Sc. in 2008, M.Sc. in 2012 and Ph.D. in 2016 from the department of Mechanical Engineering at Ben-Gurion University of the Negev. In 2016-2018, Sintov was a post-doctoral research fellow at the Coordinated Science Lab, University of Illinois at Urbana-Champaign. In 2018-2019, he was a post-doctoral research associate at the Department of Computer Science, Rutgers University. The Robotics lab @ TAU explores various exciting domains in robotics including in-hand robotic manipulation, multi-agent policies and human-robot collaboration, while proposing advanced planning and learning algorithms
Short bio: Roni Stern is an Associate Professor of Software and Information Systems Engineering in Ben Gurion University of the Negev. He heads the Software Engineering program and is the co-PI of the Search, Planning, and Learning (SPL@BGU) lab and the Anomaly Detection and Diagnosis (AiDnD) lab. In addition, he serves as an Associate Editor in JAIR and in charge of the “conference award-winning papers” track. In the past, he served as the president of the Symposium on Combinatorial Search (SoCS), the co-Program Chair of the International Conference on Automated Planning and Scheduling (ICAPS), a Principal Scientist at the Palo Alto Research Center (PARC), and held various software engineering roles. He earned his Ph.D. from Ben Gurion University, under the supervision of Prof. Ariel Felner and Prof. Meir Kalech.
Prof. Goren Gordon PhD, PhD MBA. Goren has six academic degrees, a BA, MSc and PhD in Quantum Physics, a BMSc, MBA and another PhD in Neurobiology. He did his postdoc in MIT Media Lab’s Personal Robots Group. Goren is the head of the Curiosity Lab in Tel-Aviv University. He studies mathematical models of curiosity, implementing them in curious social robots and using them to assess and promote curiosity in children. Goren’s social robots promote other 21st century skills, such as growth mindset, collaboration in small groups and communication between toddlers and parents. Goren’s artificial curiosity models are also implemented in novel data-science algorithms. Goren has developed Quantum Computer Games, published "The Quantum Matrix", a popular science book for all ages on quantum physics, and has a teaching certificate from MIT.
Ofra Amir is an associate professor at the Faculty of Data and Decision Sciences at the Technion. She completed her B.Sc. and M.Sc. in Information Systems Engineering at Ben-Gurion University and holds a Ph.D. in Computer Science from Harvard University. Her research interests are at the intersection of AI and human-computer interaction.