DSML Reading Club #9: the research process behind an ECML-PKDD paper

Speaker: Dr. Zhenisbek Assylbekov, Assistant Professor of Data Science at Purdue University Fort Wayne. He earned his PhD in Mathematics from Hiroshima University in 2008. After a brief period in industry, he worked on ML and NLP at NU from 2011. His current research explores how modern learning methods balance memorization and generalization.

At this meeting, he will focus less on the paper itself—recently accepted to ECML-PKDD 2026 and co-authored with Maksat Tezekbayev, Rustem Takhanov, and Arman Bolatov—and more on the research process that usually remains behind the scenes:

• Where a hypothesis comes from and how it takes shape
• What the team tried, what worked, and what did not
• The real publication path: a desk rejection from a Q1 journal, revisions, and submission to ECML
• Reviewer comments and how the team addressed them

📅 Friday, July 3, 12:00 Kazakhstan time. ➕ Add to calendar: https://calendar.app.google/oV3fezx1GiYirGMv5 Important: the online meeting link will be available only in the calendar event.