HiAI The University of Haifa's AI Research Center

The stellular advances in artificial intelligence (AI) methods and technologies and its overwhelming uptake by human users holds great promise as well as challenges and threats. The University of Haifa’s AI Research Center (HiAI) aims to promote and encourage development in AI to the benefit of society and the environment.

The center includes 35 AI researchers from core disciplines of computer science, information systems, statistics, and marine technologies with 40 AI application researchers from all faculties, including natural sciences, marine sciences, social welfare and health, social sciences, education, law, and humanities.

Our center established a well-proven mechanism for bringing together and supporting the dialog of core and application AI researchers from UoH, incentivizing them to work together on multidisciplinary translational research involving AI, and for educating and advising faculty and research students on AI methods and tools. Collaborations among UoH researchers led to impressive funding from competitive grants and industry. These activities also yielded journal papers, conference presentations, and attracted new students.

The researchers from the application domains raise important unmet needs that could be solved by new AI methods and technologies. Most of these real-world needs originate from collaborations with the public, private, healthcare, and the voluntary sectors; the AI models resulting from these research products are evaluated with real-world data and have great potential to translate into practical applications helping people and nature, going beyond scientific publications and grant awards.

Examples include analyzing videos of therapists and patients for early detection of body language indicating fractures in trust, which is essential for successful therapy. Another example is tracking animal and plant species in the wild to estimate their decline and conservation. These successful projects started with seed multidisciplinary research support of modest grants, which are essential for proof of concept needed for writing external research proposals.

Yearly center activities include “ignite” event, mentor research students for selected projects, basic and advanced hands-on AI courses, tutorials, and workshops. We present about 4 colloquia and hold life-skill workshops for graduate AI students. We hold a community poster day / conference showcasing the results of AI research projects with best poster/paper student awards judged by the industry advisory committee and faculty members; 2 international researcher visits and an international conference or workshop.

Support and guidance on research projects involving data science and AI applications

Funding an AI/data science paper presentation at an A* conference or open access publishing in Q1 journals - TASHPAV

Funding hosting international researchers or organizing academic conferences - TASHPAV

IDSAI2026 – Call for Abstracts
The Fifth Israeli Data Science and AI Initiative Conference
A Two-Day Meeting in the Galilee

Practical Time Series Analysis Workshop

19.10.2025 Sunday
&
22.10.2025 Wednesday
09:00-16:00

תכנית מלגות למסטרנטים מצטיינים במדעי נתונים

הגשה עד ה - 4.9.2025

Seed Research funding for TASHPAV

Due 16.11.2025

Blogs

2024 Deep Learning Health Image Processing Information Systems Privacy Research Blog Seed

Revolutionizing Epilepsy Care: AI-Driven Seizure Detection and Classification for Interpretable Real-Time Patient Support

Alex Kogan Anna Zamansky Ilan Shimshoni Dr. Ilan Goldberg Dr. Felix Benninger
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2024 Data Mining Health Privacy Psychology Research Blog Seed Statistics Statistics

Modelling Synchronization as a marker of Ruptures in Psychotherapy: A Dynamical System Approach

Oleksandr Laskorunskyi Sigal Zilcha-Mano
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2023 Algorithms Archaeology Digital Humanities Information Systems Machine Learning Research Blog Seed

When the past meets the future: Determining Origins of Ancient Metal Objects using a Machine Learning Approach

Tzilla Eshel Tsvi Kuflik
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2024 Algorithms Artificial Intelligence Data Mining Marine Science Marine Technologies Research Blog Robotics Seed

Enhancing AUV Navigation with AI: A Breakthrough in Autonomous Underwater Vehicles

Oren Gal Aurele Itah
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2023 Algorithms Computer Science Data Mining PhD Processing Research Blog

Using Less communication to approximate mathematical properties over large, noncentralized data

Amit Shahar, Daniel Keren
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2023 Bioinformatics Deep Learning Human Biology Information Systems Machine Learning Neural Networks PhD Research Blog

Is it diversity or just a mess? When RNA splicing does not go according to plan

Shaked Shanas, Martin Mikl, Judith Somekh
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2023 Computer Science Machine Learning PhD Processing Research Blog

Completing the picture in 3D

Azmi Haider, Dan Rosenbaum
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2023 Artificial Intelligence Computer Vision Information Systems Machine Learning PhD Research Blog Veterinary Medicine

Can Facial Landmarks Guide us to Understanding Animal Emotions? 

George Martvel, Anna Zamansky, Ilan Shimshoni
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2023 Artificial Intelligence Health Post-Doc Psychology Research Blog

Looking Inside the Black Box of Meditation Using Artificial Intelligence

Yuval Hadash, Noga Aviad, Margarita Osadchy, Amit Bernstein
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2021 Digital Humanities Natural Language Processing PhD Research Blog Statistics

A new Analysis method for the basketball “Hot-Hand” fallacy

Netzer Bar Am, Shuly Wintner
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2022 Data Mining Database Collection Deep Learning Marine Science Research Blog

Which ships are out there

Roee Diamant, Boris Kasnelson
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2021 Digital Humanities Natural Language Processing PhD Research Blog Statistics

A new Analysis method for the basketball “Hot-Hand” fallacy

Netzer Bar Am, Shuly Wintner
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2022 Artificial Intelligence Computer Vision Database Collection Health Psychology Research Blog

Can cognitive biases during pregnancy predict future development of postpartum depression and PTSD?

Vanessa Cywiak, Hadas Okon-Singer, Nur Givon-Benjio, Ido Solt, Eyal Fruchter, Hagit Hel-Or
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2022 Artificial Intelligence Computer Vision Health Post-Doc Psychology Research Blog

It Feels Good to Feel Bad: Between-and Within-Session Changes in Emotions During Psychological Treatment for Depression

Hadar Fisher, Philip T. Reiss, Dovrat Atias, Simon Shamay-Tsoory, Sigal Zilcha-Mano
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2021 Biodiversity Computer Vision Deep Learning Image Processing Machine Learning Neural Networks Research Blog Seed

3D Imaging for Coral Reef Ecology

Matan Yuval, Naama Pearl, Amit Peleg, Dan Tchernov, Tali Treibitz, Avi Bar Massada
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2022 Artificial Intelligence Database Collection Digital Humanities Natural Language Processing Processing Research Blog

Can we automatically determine the proficiency of Hebrew second language learners

Anat Prior, Shuly Wintner
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2022 Data Mining Health Neural Networks PhD Psychology Research Blog

Let it hurt Can we train our pain

Einav Gozansky, Hadas Okon-Singer , Irit Weissman-Fogel
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2022 Computer Science Computer Vision Data Mining Marine Science Marine Technologies Research Blog Seed

An Efficient Drifters Deployment Strategy to Evaluate Water Current Velocity Fields

Murad Tukan, Eli Biton, Roee Diamant
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2022 Artificial Intelligence Deep Learning Information Systems Machine Learning Neural Networks PhD Research Blog Veterinary Medicine

Say Hello to the New Digital DR DOLITTLE: AI that Knows How to Read Cats’ Emotions

Marcelo Feighelstein, Anna Zamansky, Ilan Shimshoni
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2022 Artificial Intelligence Deep Learning Health Machine Learning Neural Networks Psychology Research Blog Supervision The Haifa Center for Law & Technology

Can a Computerized Task Treat Depression

Gal Rabinovich, Reut Shani, Tomer Sidi, Hadas Okon-Singer
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