Organization profile
Organization profile
The Foundations of AI institute (FONDofAI) includes a community of researchers working on foundational issues of artificial intelligence and autonomous systems, as well as deploying and implementing safe and responsible AI solutions in the real world. Our research covers a wide range of topics, including Planning and Search, Reasoning and Decision-making under Uncertainty, Theoretical and Applied Machine Learning, Multi Agent Systems, Neuro-symbolic AI, and Human-in-the loop AI.
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Dive into the research topics where Institute for the Foundations of AI is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Ronen Brafman
- Institute for the Foundations of AI - Full Professor
- Statistics and Data Analysis Program - Member
Person: Academic
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Ariel Felner
- Institute for the Foundations of AI - Full Professor
- The Stein Faculty of Computer and Information Science - Deputy Dean
Person: Academic, Administrative
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Kobi Gal
- Institute for the Foundations of AI - Full Professor, Institute Director
- Statistics and Data Analysis Program - Member
- School of Brain Sciences and Cognition - Member
Person: Academic, Administrative
Research output
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A Hybrid Inductive-Deductive Approach for Resource-Efficient Suicide Risk Detection in Counseling Conversations
Franco, R., Segal, A. & Gal, K., 1 Jan 2026, Artificial Intelligence for Healthcare, and Hybrid Models for Coupling Deductive and Inductive Reasoning - 1st International Joint Conference, HC@AIxIA+HYDRA 2025, Proceedings. Bruno, P., Calimeri, F., Terracina, G., Cauteruccio, F., Dragoni, M. & Stella, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 336-351 16 p. (Communications in Computer and Information Science; vol. 2830 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Approximate multi-objective search
Zhang, H., Salzman, O., Kumar, T. K. S., Felner, A., Hernández Ulloa, C. & Koenig, S., 1 Aug 2026, In: Artificial Intelligence. 357, 104542.Research output: Contribution to journal › Article › peer-review
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Beating the Page Limit: Minimizing the Size of Documents
Roshanski, I., Abraham, T., Alhindi, M., Ashtamker, L., Fuchs, O., Toris, A., Witkowski, A., Zur, L. & Kalech, M., 1 May 2026, In: Applied Sciences (Switzerland). 16, 10, 4846.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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Researchers at Ben-Gurion University of the Negev Publish New Data on Agriculture (Stress Detection and Classification Using Dendrometer-Based SDVs in Citrus Trees)
Shani, G. & Hanan, O.
13/04/26
1 item of Media coverage
Press/Media
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Ben-Gurion University of the Negev Researchers Focus on Tetrahydrocannabinol (Estimating Cannabis Flower Maturity in Greenhouse Conditions Using Computer Vision)
18/03/26
1 item of Media coverage
Press/Media
Projects
- 9 Active
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Task Planning for Autonomous Robots with Concurrent Durative Actions and Stochastic Effects
Brafman, R. (PI)
1/01/25 → 31/12/28
Project: Research
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Towards a Depth Hierarchy in Artificial Neural Networks
Safran, I. (PI)
1/01/25 → 31/12/28
Project: Research
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