Additionally, I am happy to share that the full paper titled "Improving Minimax Group Fairness in Sequential Recommendation" " co-authored by Krishna Acharya, David Wardrope, Timos Korres, Anders Uhrenholt and me, has been accepted by the #IR4Good track of #ECIR2025.

@zixuanyi.bsky.social can you comment on that?

... and where LLMs need help

Nice suggestions where LLMs be useful for recsys

5. I'm a proud father of 2 daughters. My oldest daughter is already studying in her 2nd year at school. My younger daughter is just a 2-month-old baby. Writing a thesis and parenting two girls is quite a challenge!

4. You can find more information about my research and publications on my personal website, asash.github.io

3. Before moving to Academia, I accumulated over ten years of industrial experience in both big tech companies (e.g., Amazon) and startups (e.g., E-Contenta).

2. My research is focused on adapting state-of-the-art transformer-based recommendation models to the realistic scenario of large catalogues and big datasets. I regularly publish on RecSys-related conferences, including ACM RecSys, ECIR, WSDM, and similar venues.

You should join @idaglasgow.bsky.social as a lecturer then, to teach in Scotland!