Best Paper Award at RecSys '23 for 'gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling'.
Best Paper Nominee at RecSys '22 for 'Effective and Efficient Training for Sequential Recommendation using Recency Sampling'.
Sister Conferences Best Paper at IJCAI '24 (extended abstract of gSASRec).
Published numerous papers at top-tier venues including SIGIR, ECIR, RecSys, WSDM, IJCAI, and TORS, focusing on sequential recommendation, large-catalogue efficiency, fairness, and inference optimization.
Most publications include open-source code, demonstrating strong integration of research and engineering.