Latest news and updates from DSML Kazakhstan community
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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:
📅 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.
Submissions are open for the 13th Analysis of Images, Social Networks, and Texts conference, AIST 2026, taking place in Astana on October 16–18.
The conference focuses on data science and applications of data analysis and machine learning across computer vision, NLP, social-network analysis, geographic information systems, recommender systems, economics, education, process mining, and other fields.
Accepted papers are planned for publication in Springer LNCS and CCIS. As usual, there is no registration fee. Presentations may be delivered in person or online.
🗓 Important dates:
The previous lower bound of 840, established by Leech and Sloane in 1971, had not been improved for 55 years!
The breakthrough was achieved through an elegant mathematical construction combined with GPU optimization.
What changed for companies: fast online submission—paste the vacancy text as is, and our AI will format it in our style; all applications in one place, with resumes, search, notes, and candidate statuses; contacts can remain private if you prefer collecting applications through DSML.
We did not forget candidates: comments are now available directly on the website; applying takes only a couple of clicks with contact details and a resume; after completing a career profile once, you can use DSML Apply in one click. Every application is saved neatly in your career profile so you do not lose track of where and when you applied.
All vacancies still go through our review before publication so the channel remains useful to the community.
It is a new space designed to make AI and ML research from Kazakhstan and Central Asia more visible.
Strong research from the region is currently scattered across Google Scholar, LinkedIn, personal websites, and university pages.
We want to bring this layer closer to the community, making it easier to understand who is working on what, follow publications, and launch new collaborative projects.
The Research Hub is for everyone connected to the region who works in AI/ML research: students, university researchers, R&D teams and industry AI labs, faculty, and independent researchers. Whether you are currently in Astana, Tashkent, Bishkek, Silicon Valley, Europe, or anywhere else, we would be happy to see your profile.
We made publication imports as convenient as possible, so creating a profile should not take long.
Register and share the link with people you know: https://dsml.kz/research
