معرفی
Almas Baimagambetov is a Senior Lecturer and Subject Co-Lead for Computing and Mathematics at the University of Brighton's School of Architecture, Technology and Engineering. He leads the Robotics AI lab and focuses on applied research in robotics, artificial intelligence, and human-robot interaction.
- BSc Computer Science (Games), University of Brighton (2015)
- PhD in Automated Visualization of Grouped Networks Using Euler Diagrams and Graphs, University of Brighton (2020)
His research explores data visualization, robotics AI, and human-robot interaction, with recent work on energy-efficient trajectory planning, multilingual NLP integration, and LLM code generation for robotics. He emphasizes practical implementation in teaching and outreach through game jams, hackathons, and open-source projects like FXGL.
- 2025: 3 publications on robotic manipulation, trajectory planning, and NLP integration
- 2024: 2 studies on face recognition factors and LLM code generation
- 2021: FXGL game engine development
Almas supervises projects at the intersection of artificial intelligence, data visualization, and robotics, with a focus on practical implementation. He maintains an active open-source presence and collaborates internationally on robotics applications.
