Curriculum vitae
Saar Cohen
Postdoctoral Research Associate, Department of Computer Science, University of Oxford
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Positions
- 2026 – present
Postdoctoral Research Associate
Department of Computer Science, University of Oxford
Hosted by Prof. Michael Wooldridge.
Education
- 2021 – 2025
Ph.D. in Computer Science
Bar-Ilan University
Thesis: “Coalition Formation in Sequential Decision-Making under Uncertainty”. Advisor: Prof. Noa Agmon. Member of the SMART research group.
- 2018 – 2021
M.Sc. in Computer Science
Bar-Ilan University
Thesis: “Spatial Consensus Prevention in Robotic Swarms”, on influencing flocking agents by inserting diverting agents into the swarm to bring them to disagreement. Advisor: Prof. Noa Agmon.
- 2013 – 2017
B.Sc. in Mathematics
Tel Aviv University
With a specialization in Computer Science.
Publications
Conference papers 18
- The Attacker in the Mirror: Breaking Self-Consistency in Safety via Anchored Bipolicy Self-PlayNeurIPS 2026 (to appear) · Oral
- Delayed Assignments in Online Non-Centroid Clustering with Stochastic ArrivalsAAMAS 2026 · Oral
- Offline Learning of Nash Stable Coalition Structures with Possibly Overlapping CoalitionsAAMAS 2026 · Oral
- Convexified Message-Passing Graph Neural NetworksAISTATS 2026 · Poster
- Online Learning of Fair Coalition StructuresECAI 2025 · Oral
- Decentralized Online Learning by Selfish Agents in Coalition FormationIJCAI 2025 · Oral
- Egalitarianism in Online Coalition Formation (Extended Abstract)AAMAS 2025 · Poster
- Online Learning of Coalition Structures by Selfish AgentsAAAI 2025 · Oral
- Online Friends Partitioning under UncertaintyECAI 2024 · Spotlight
- Online Learning of Partitions in Additively Separable Hedonic GamesIJCAI 2024 · Oral
- Near-Optimal Online Resource Allocation in the Random-Order Model (Extended Abstract)AAMAS 2024 · Poster
- Coalition Formation in Sequential Decision-Making under Uncertainty (Doctoral Consortium)AAMAS 2023
- Online Coalitional Skill FormationAAMAS 2023 · Oral
- Complexity of Probabilistic Inference in Random Dichotomous Hedonic GamesAAAI 2023 · Poster
- Optimizing Multi-Agent Coordination via Hierarchical Graph Probabilistic Recursive ReasoningAAMAS 2022 · Oral (online)
- Convexified Graph Neural Networks for Distributed Control in Robotic SwarmsIJCAI 2021 · Oral (online)
- On the (Im)possibility of Leading a Swarm to a Desired Consensus in Static and Dynamic SettingsDARS/SWARM 2021
- Spatial Consensus-Prevention in Robotic SwarmsAAMAS 2021 · Oral (online)
Journal articles & surveys 3
- Fairness and Efficiency in Online Coalition Formation with Partial InformationJAIR 2026 (accepted with minor revisions)
- Stability-Accuracy Tradeoffs in Decentralized Online Learning of Coalition Structures by Selfish AgentsJAIR 2026
- Recent Advances in Formations of Multiple RobotsCurrent Robotics Reports · Survey
Working papers 4
- Reflections and Fragments: Securing LLMs Against Sequential Mosaic AttacksarXiv 2610.05346.
- Online Fair Division Against an Oblivious AdversaryarXiv 2609.28333
- Online House Allocation with SubsidyarXiv 2609.29691
- Online Fair Division with Budget ConstraintsarXiv 2607.23310
Under review / revision 2
Awards & scholarships
- 2025
IAAI Best PhD Thesis Award
- 2024
CS@BIU Nadav Scholarship for Excellent PhD Students
- 2023
The President’s Scholarship Program for Outstanding Doctoral Students
On behalf of the president of Bar-Ilan University
- 2022
CS@BIU Nadav Scholarship for Excellent M.Sc. Students
Service
Organization
- 2026
Organizer, 3rd Workshop on Social Choice and Learning Algorithms (SCaLA’26)
Held at IJCAI’26, Bremen, Germany
Reviewing
- 2026
Program Committee
AAAI’26, AAMAS’26
- 2025
Program Committee
AAAI’25, AAMAS’25 (Distinguished), IJCAI’25, ECAI’25
- 2024
Program Committee
AAAI’24, IJCAI’24
- 2024
Reviewer
ECAI’24
- 2023
Program Committee
AAAI’23, IJCAI’23 (Distinguished)
- 2023
Reviewer
ICRA’23, ECAI’23
- 2022
Reviewer
AAMAS’22, IEEE Transactions on Robotics (T-RO)
Teaching
- 2023 – 2025
Teaching Assistant
Department of Computer Science, Bar-Ilan University
- Discrete Structures (Fall 2023, Fall 2024); lead TA in Fall 2024; prepared the presentations for all recitations
- Machine Learning (Spring 2024, Spring 2025); lead TA in Spring 2025