About Tian Shan AI Academy

Pioneering artificial intelligence education and research in Central Asia since 2018.

Our Mission & Vision

Mission

To provide world-class education and research opportunities in artificial intelligence, fostering innovation and developing the next generation of AI leaders and experts in Central Asia and beyond.

Vision

To become a leading global institution for AI education and research, driving technological advancement and addressing complex challenges through artificial intelligence while promoting ethical and responsible AI development.

Tian Shan AI Academy Campus

Key Statistics

Students

1,200+

From 28 countries worldwide

Faculty Members

85

Leading researchers and practitioners

Research Publications

320+

In top-tier journals and conferences

Industry Partners

45

Global technology leaders

Our Faculty

Our distinguished faculty includes leading researchers, industry experts, and innovators in artificial intelligence and related fields.

Dr. Aizhan Kerimkulova

Dr. Aizhan Kerimkulova

Dean, Professor of AI Systems

Former research scientist at DeepMind with over 15 years of experience in machine learning and neural networks.

Prof. Nurlan Temirov

Prof. Nurlan Temirov

Chair, Department of Machine Learning

Leading researcher in reinforcement learning with previous positions at Stanford University and Google AI.

Dr. Elena Kim

Dr. Elena Kim

Director, AI Ethics Center

Specializes in ethical AI development and policy with experience at the United Nations and major tech companies.

Research Areas

Our faculty and students conduct cutting-edge research across a wide range of artificial intelligence disciplines.

Deep Learning

Advancing neural network architectures and applications in computer vision, natural language processing, and more.

Reinforcement Learning

Developing algorithms for decision-making in complex, uncertain environments and robotics applications.

Natural Language Processing

Researching language understanding, generation, and multilingual AI systems with a focus on Central Asian languages.

Computer Vision

Exploring image and video understanding, object detection, and visual reasoning systems.

AI for Healthcare

Applying AI techniques to medical imaging, diagnostics, and personalized medicine.

Ethical AI & Governance

Researching responsible AI development, fairness, transparency, and policy frameworks.

Campus Facilities

Our state-of-the-art campus provides students and researchers with the resources they need to excel.

AI Research Lab

Advanced Computing Cluster

High-performance computing resources for AI research and development.

Collaborative Spaces

Collaborative Learning Spaces

Modern classrooms and meeting areas designed for interactive learning and teamwork.

Innovation Hub

Innovation Hub

Incubator space for student startups and entrepreneurial projects.

Library and Resource Center

Library & Resource Center

Comprehensive collection of digital and physical resources for research and learning.

Join Our Community

Whether you're a prospective student, researcher, or industry partner, we invite you to connect with Tian Shan AI Academy.