جستجوی استاد راهنمای دانشگاهی

Dr. Eyal Tytler is a researcher in the Department of Industrial Engineering and Management at Ben-Gurion University of the Negev, affiliated with the Faculty of Engineering Sciences. His research focuses on integrating adaptive learning tools with classical algorithms to enhance decision-making in autonomous systems such as vehicles and robots. He completed his postdoctoral studies at the University of Toronto in artificial intelligence and decision-making, following a Ph.D. in autonomous systems and robotics at the Technion. His work emphasizes interdisciplinary collaboration to balance flexibility and safety in complex environments. Dr. Tytler’s research interests span artificial intelligence, robotics, and control systems, with a particular focus on combining modern learning techniques with traditional algorithmic frameworks. His academic journey reflects a dedication to advancing autonomous technologies through hybrid methodologies.

• Artificial Intelligence
• Robotics
• Autonomous Systems
• +۳ مورد دیگر

Vadim Indelman serves as an Associate Professor in the Department of Aerospace Engineering at the Technion – Israel Institute of Technology, affiliated with the Technion Autonomous Systems Program (TASP) and Machine Learning and Intelligent Systems (MLIS) Center. He earned his B.A. (Cum Laude) in Computer Science and B.Sc. (Summa Cum Laude) in Aerospace Engineering from the Technion in 2002, completed his PhD in Aerospace Engineering there in 2011 under Pini Gurfil, Ehud Rivlin, and Hector Rotstein, and conducted postdoctoral research at Georgia Tech's Institute of Robotics and Intelligent Machines (2012-2014). His research focuses on probabilistic perception and state estimation for autonomous systems operating in uncertain dynamic environments, with core contributions in SLAM, vision-aided navigation, distributed information fusion, and belief-space planning for multi-agent systems. This work enables reliable real-time operation through probabilistic graphical models and active sensing methodologies. Indelman holds significant editorial roles including Associate Editor for IEEE Robotics & Automation Letters since 2017, Senior Editor for IROS (2021-2023), Area Chair for MRS 2021, and co-chair of IEEE RAS Technical Committee on Planning and Control Algorithms since 2019.

• Autonomous Systems
• Robotics
• Probabilistic Perception
• +۵ مورد دیگر

Yoram Shiftan is a Professor in the Department of Civil and Environmental Engineering at the Technion - Israel Institute of Technology, where he serves as head of the Israeli Smart Transportation Research Center. He previously chaired the International Association of Travel Behavior Research (IATBR) and edited Transport Policy journal. Education: Ph.D. from Massachusetts Institute of Technology (MIT) Professor Shiftan specializes in travel behavior modeling, transport policy formulation, and cost-benefit analysis of infrastructure projects. His recent research investigates autonomous vehicle impacts on urban mobility patterns and city planning, with leadership roles in EU COST Action WISE-ACT (Wider Impact of Autonomous Vehicles) and COST Action TEA (Transport Equity Analysis). He currently advises the Israeli government on the $40+ billion Tel-Aviv metro system evaluation. With 4.5 years as visiting professor at institutions including ETH Zurich, University of Michigan, and Northwestern University, he has extensive cross-continental expertise in transportation decision-making processes for major investments in Israel and the United States. He directs the Israeli Smart Transportation Research Center, driving innovation in transportation systems analysis and policy development through interdisciplinary collaboration.

• Travel Behavior
• Transportation Policy
• Transportation Project Evaluation
• +۳ مورد دیگر

Michael London is an Associate Professor at The Hebrew University of Jerusalem's Edmond and Lily Safra Center for Brain Sciences. His research focuses on the interface between biophysical properties of neurons and information encoding, particularly nonlinear dendritic processes and neuronal noise effects. Key projects involve studying sensory systems (mouse barrel cortex) and self-generated activity (ultrasonic vocalization circuits). Techniques include patch-clamp, two-photon imaging, optogenetics, and computational modeling. Notable collaborations include work on cortical interneurons with Idan Segev and studies of adrenergic modulation with Inbal Goshen. His lab has published extensively on topics like neural coding dynamics, circuit function, and neuron-network interactions. He advises a team of ~9 PhD students and postdocs, focusing on experimental/theoretical integration. Laboratory location: Goodman Brain Sciences Building, Level 1, Room 2103. Active in neuroscience education through ELSC's PhD program and summer internships. Maintains an open-source lab website at www.mikilon.org with research tools and datasets.

• Neural Coding
• Dendritic Processing
• Neuronal Noise
• +۳ مورد دیگر