معرفی
Tetsuya Sakai is a Professor at the School of Fundamental Science and Engineering within Waseda University's Faculty of Science and Engineering. His work focuses on information access, retrieval, and natural language processing, with a particular emphasis on evaluation frameworks for search systems.
- Affiliations: Waseda University (Faculty of Science and Engineering, School of Fundamental Science and Engineering)
- Academic Rank: Professor
Research Interests: Dr. Sakai's research spans four key areas: (1) Information Access—designing systems for direct and immediate information delivery, (2) Search Evaluation—developing metrics like Height-Biased Gain and hierarchical intent-based diversity measures, (3) Fairness in IR—pioneering frameworks for group fairness in conversational search, and (4) Statistical Reform—advocating Bayesian methods and robust experimental design. His work also addresses privacy inconsistencies in mobile apps and cognitive biases in LLMs.
Scientific Awards: Notable recognitions include induction into the SIGIR Academy (2023), ACM Distinguished Member (2018), ACM Senior Member (2016), and multiple DEIM/FIT/CSS Best Paper Awards. He has received teaching honors like the Waseda Presidential Teaching Award (2016) and WASEDA e-Teaching Award (2018).
Article Trends: Recent publications highlight:
- Advancements in LLM-assisted relevance assessments and hallucination diagnostics for tool-augmented models
- Conversational search fairness through multi-level evaluation frameworks and group diversity metrics
- Innovations in 3D medical reconstruction from clinical data and multimodal uncertainty modeling
- Statistical rigor via randomization tests, credible intervals, and topic set design
- Privacy analysis in mobile app descriptions and cognitive bias studies in search interaction
