HiAI
University of Haifa
AI Conference
MAY 25-27, 2025
University of Haifa, Carmel campus
The first edition of the University of Haifa AI conference (HiAI) will take place (in-person) on May 25-27, 2025. HiAI will showcase cutting-edge and unique AI research breakthroughs developed by university researchers and students, providing a platform to highlight the latest innovations in the field.
The conference will bring together experts from academia and industry, fostering valuable networking opportunities and collaborations.
The conference is organized by the University of Haifa’s Data Science Research Center – a center committed to supporting and strengthening data science research by the university’s community for benefitting society and the environment.
Registration will open soon
Keynote Speakers
I am the Don and Mibs Follett professor of Information Science at Cornell Tech where I lead the Social Technologies research group and serve as the associate dean for faculty affairs. Previously, I was an assistant professor at Rutgers SC&I, led a research team at Yahoo! Research Berkeley, and got a PhD from Stanford. Before all that, I played professional basketball in Israel. I sometimes consult or even co-found startups.
My research focus is on topics related to Technology, Media and Democracy, and in particular the trustworthiness of our information ecosystem. We use a wide range of tools—from machine learning, to computational social science, to online experiments, to qualitative methods—to understand and try to address these challenges, with an increasing focus on the impact of AI-mediated communication. Our sponsors over the years included, among others, Yahoo, Google, Facebook and the National Science Foundation.
Conference Co-Chairs
Itzik Klein received the B.Sc. and M.Sc. degrees in Aerospace Engineering from the Technion – Israel Institute of Technology, Haifa, Israel, in 2004 and 2007, respectively, and a Ph.D. degree in Geo-information Engineering from the Technion – Israel Institute of Technology, in 2011. He is an Associate Professor, heading the Autonomous Navigation and Sensor Fusion Lab, at the Charney School of Marine Sciences, Hatter Department of Marine Technologies, University of Haifa. He is an IEEE Senior Member and member of the IEEE Journal of Indoor and Seamless Positioning and Navigation (J-ISPIN) Editorial Board. He is currently a Distinguished Lecturer for the IEEE Oceanic Engineering Society and part of the leadership team of the Data Science Research Center at the University of Haifa. Prior to joining the University of Haifa, he worked at leading companies in Israel on navigation and sensor fusion topics for more than 15 years. He has a wide range of experience in navigation systems and sensor fusion from both industry and academic perspectives. His research interests lie in the intersection of artificial intelligence with inertial sensing, sensor fusion, and robotics.
Mor Peleg holds a BSc and MSc degrees in biology and PhD (1999) in Information Systems, from the Technion and postdoctoral studies (2003) at Stanford’s Medical Informatics program. She is Full Professor at the Department of Information Systems, University of Haifa, which she joined in 2003, Head of the University of Haifa’s Data Science Center, and former Chair of the Department of Information Systems and of the BSc in Data Science program. She is the Editor-inChief of the Journal of Biomedical Informatics and is Fellow of the American College of Medical Informatics and of the International Academy of Health Sciences Informatics. Prof. Peleg is internationally renowned in the area of clinical decision support, with a focus on using ontologies to integrate patient data with clinical knowledge. She led the large-scale European project MobiGuide, providing sensor-monitoring and evidence-based personalized decision-support to patients any time everywhere. Her current research exploits AI, behavioral theories and evidence-based medicine for a new model of cancer care, provided directly to patients (https://capable-project.eu/). An additional line of research focuses on using LLMs for ontology learning.
We look forward to seeing you all at the event.
HiAI
University of Haifa
AI Conference
MAY 25-27, 2025
University of Haifa
Carmel campus
The first edition of the University of Haifa AI conference (HiAI) will take place (in-person) on May 25-27, 2025. HiAI will showcase cutting-edge and unique AI research breakthroughs developed by university researchers and students, providing a platform to highlight the latest innovations in the field.
The conference will bring together experts from academia and industry, fostering valuable networking opportunities and collaborations.
The conference is organized by the University of Haifa’s Data Science Research Center – a center committed to supporting and strengthening data science research by the university’s community for benefitting society and the environment.
Registration will open soon
Keynote Speakers
I am the Don and Mibs Follett professor of Information Science at Cornell Tech where I lead the Social Technologies research group and serve as the associate dean for faculty affairs. Previously, I was an assistant professor at Rutgers SC&I, led a research team at Yahoo! Research Berkeley, and got a PhD from Stanford. Before all that, I played professional basketball in Israel. I sometimes consult or even co-found startups.
My research focus is on topics related to Technology, Media and Democracy, and in particular the trustworthiness of our information ecosystem. We use a wide range of tools—from machine learning, to computational social science, to online experiments, to qualitative methods—to understand and try to address these challenges, with an increasing focus on the impact of AI-mediated communication. Our sponsors over the years included, among others, Yahoo, Google, Facebook and the National Science Foundation.
Conference
Co-Chairs
Itzik Klein received the B.Sc. and M.Sc. degrees in Aerospace Engineering from the Technion – Israel Institute of Technology, Haifa, Israel, in 2004 and 2007, respectively, and a Ph.D. degree in Geo-information Engineering from the Technion – Israel Institute of Technology, in 2011. He is an Associate Professor, heading the Autonomous Navigation and Sensor Fusion Lab, at the Charney School of Marine Sciences, Hatter Department of Marine Technologies, University of Haifa. He is an IEEE Senior Member and member of the IEEE Journal of Indoor and Seamless Positioning and Navigation (J-ISPIN) Editorial Board. He is currently a Distinguished Lecturer for the IEEE Oceanic Engineering Society and part of the leadership team of the Data Science Research Center at the University of Haifa. Prior to joining the University of Haifa, he worked at leading companies in Israel on navigation and sensor fusion topics for more than 15 years. He has a wide range of experience in navigation systems and sensor fusion from both industry and academic perspectives. His research interests lie in the intersection of artificial intelligence with inertial sensing, sensor fusion, and robotics.
Mor Peleg holds a BSc and MSc degrees in biology and PhD (1999) in Information Systems, from the Technion and postdoctoral studies (2003) at Stanford’s Medical Informatics program. She is Full Professor at the Department of Information Systems, University of Haifa, which she joined in 2003, Head of the University of Haifa’s Data Science Center, and former Chair of the Department of Information Systems and of the BSc in Data Science program. She is the Editor-inChief of the Journal of Biomedical Informatics and is Fellow of the American College of Medical Informatics and of the International Academy of Health Sciences Informatics. Prof. Peleg is internationally renowned in the area of clinical decision support, with a focus on using ontologies to integrate patient data with clinical knowledge. She led the large-scale European project MobiGuide, providing sensor-monitoring and evidence-based personalized decision-support to patients any time everywhere. Her current research exploits AI, behavioral theories and evidence-based medicine for a new model of cancer care, provided directly to patients (https://capable-project.eu/). An additional line of research focuses on using LLMs for ontology learning.
We look forward to seeing you all at the event.
Your participation is essential in strengthening AI research across the campus and establishing the University of Haifa as a rising leader in AI.