Scholar
Yashar Deldjoo
Google Scholar ID: -C_x_hUAAAAJ
Associate Professor, Polytechnic University of Bari
Citations & Impact
Citations
4,416
H-index
36
i10-index
70
Publications
20
Co-authors
21
list available
Publications
Resume (English only)
Research Experience
- Associate Editor for IEEE TKDE and ACM Computing Surveys (CSUR)
- Distinguished Reviewer for ACM TORS; Guest Editor for TORS special issues on Trustworthy RecSys (2024) and Generative RecSys (2025)
- Area Chair at CIKM and Senior Program Committee member at SIGIR, CIKM, ECAI, TheWebConf
- Co-organizing ROEGEN workshop @ ACM RecSys 2024 on Risks & Opportunities of Generative Models
- Leading a multidisciplinary effort for the forthcoming book 'Recommendation with Generative Models' (2025)
Background
- Senior Researcher & Associate Professor in Computer Science at Polytechnic University of Bari, Italy
- Research focuses on trustworthy and responsible AI in recommender systems
- Particularly emphasizes Generative AI and multi-agent large language models (LLMs)
- Works on understanding, categorizing, and mitigating emerging risks such as hallucinations, biases, reasoning errors, content safety, adversarial resilience, and goal misalignment
- Advances holistic evaluation frameworks for generative recommender systems
- Also explores multimodal learning, Fashion AI, and recommender systems in the music industry
