Oleg Zendel

Dr. Oleg Zendel is a Research Fellow at RMIT University's Research & Innovation department, based at the City Campus in Australia. His academic focus lies in advanced information systems and data science, with expertise in query performance prediction, human information interaction, and large language models (LLMs) applied to information retrieval. He holds a Ph.D. in Computer Science from RMIT University (2020–2024).

Research Interests: His work bridges theoretical and applied aspects of information retrieval, emphasizing practical frameworks for evaluating query effectiveness and leveraging LLMs to enhance interactive systems. Key areas include conversational AI, automated annotation, and data-driven methodologies for IR optimization.

Collaborations: Open to collaborative projects, industry partnerships, and supervising Masters/PhD students in his research domain. He actively participates in organizing workshops like the Search-Oriented Conversational Artificial Intelligence (SCAI) and contributes to events such as ACM SIGIR and ECIR conferences.

Publications: Recent work explores LLM evaluation validity, entropy-based neural IR systems, and simplified query performance prediction tools like QPPTK. His publications reflect a trend toward integrating AI advancements into scalable, user-centric IR solutions.