Welcome to the MADRID Lab blog
This is where lab members will write about their projects, papers and what they learn along the way.
Machine learning
Models that learn from data, and careful testing of how well they really work.
SDU University research laboratory
We turn data into decisions.
MADRID Lab is a university research group working on machine learning, analytics and data research, with one goal: methods that help people make better, well-grounded decisions.
- Machine learning
- Analytics
- Data
- Research
- Intelligent
- Decisions
About the lab
We bring together students and researchers who want to work on real data problems: building models, testing them honestly, and understanding when their results can be trusted.
Our work spans four connected areas, from learning algorithms to the decisions they support. Students join us for research projects, theses and internships.
Research areas
All researchAnalytics
Finding the structure in data and explaining it clearly.
Data research
Collecting, cleaning and structuring data that research can stand on.
Intelligent decisions
Turning predictions into choices people and systems can rely on.
Latest news
All newsThree new members join the lab
We welcome Abilmansur Alibekov, Akbike Zhurymbay and Aruzhan Iliyas to MADRID Lab.
Our new website is live
Members, publications, open positions and news are now all in one place.
Want to do research with us?
We regularly take on students for research projects and theses. See what is open right now.
People
Members
The people behind MADRID Lab.
Founders & lab leadership
Bakhtiyor Meraliyev
Professor
Aziza Nazarbayeva
Head of MADRID Lab
Жансерік Сауатбек
Мерует Салижанова
Team
Aisulu Igimbayeva
Research Assistant in DA Lab
Aknur Mansurkhan
Research Assistant in DA Lab
Abilmansur Alibekov
Research Assistant in DA Lab
Akbike Zhurymbay
Research Assistant in DA Lab
Aruzhan Iliyas
Research Assistant in DA Lab
Former members
Akbota Amangeldiyeva
Әлихан Қошамет
Ажар Кенжебек
Алина Кенжегариева
Лейлима Ақат
Айша Амирқызы
Адель Кунуспекова
Нұрдәулет Серкетай
Жасұлан Тұрсынбай
Explore our work
Research topics
Select a topic to see the publications connected to it.
Research output
Publications
Papers, proceedings and other research output from lab members.
Showing topic:
2026
Using Machine Learning to Predict Arterial Hypertension From a Clinical Dataset
- Clinical prediction models
2025
Search Trees: A Review and Comparative Study
- Algorithms & data structures
2023
Attrition Rate Measuring in Human Resource Analytics Using Machine Learning
- People & HR analytics
Machine Learning as an Effective Tool for Human Resource Management in the Higher Educational Field
- People & HR analytics
2021
A Computer Vision Supported Investigation on Anxiety-Success Relationship in Educational Processes
- Computer vision
- Learning analytics
Content Analysis of Extracted Suicide Texts From Social Media Networks Using Natural Language Processing and Machine Learning Techniques
- NLP & text analysis
2020
Applying Machine Learning Models for Predicting Forest Fires in Australia and the Influence of Weather on Their Spread
- Environmental modelling
No publications match these filters.
Join the lab
Openings
Ways to take part in research at MADRID Lab.
Undergraduate research assistant
Bachelor's studentsWork alongside lab members on an ongoing project: preparing data, running experiments and writing up results.
- Comfortable with Python
- Basic statistics and linear algebra
- Able to commit a few hours every week
Open application
AnyoneDon't see a position that fits? Tell us what you would like to work on and how you could contribute.
How to apply
Send your CV and a few lines about what you would like to work on. Mention the position in the subject line.
From the lab
Blog
Notes from lab members on projects, papers and what we learn along the way.
Latest activity
News
News from our lab and the wider AI and machine learning community.
AI & ML worldwide
Selected developments from primary sources. Reviewed September 16, 2026.
Anthropic reports on AI misuse and defensive safeguards
Anthropic describes detected misuse of Claude, including cyber operations and influence campaigns, and the steps taken to disrupt it. The report highlights why monitoring and safeguards matter as AI capabilities grow.
Source: Anthropic ↗WeatherNext 3 brings hourly AI weather forecasts
Google DeepMind and Google Research introduced a forecasting model that uses live satellite observations, with hourly updates and selected surface variables at 5-kilometer resolution. Applications include renewable energy and local weather prediction.
Source: Google DeepMind / Google Research ↗Google introduces Gemini 3.8 Flash and Flash Cyber
Google announced new models for coding, reasoning and agent workflows. The specialized Flash Cyber variant focuses on vulnerability detection and patching, with access for trusted defenders through the Fairwind Program.
Source: Google ↗
Lab news
Updates from our team.
Three new members join the lab
We welcome Abilmansur Alibekov, Akbike Zhurymbay and Aruzhan Iliyas to MADRID Lab.
Our new website is live
Members, publications, open positions and news are now all in one place.