{spoiler=GameLab KBTU}
Video Game Development and Research Laboratory GameLab KBTU was established in June 2022 on the basis of the KBTU School of IT and Engineering. The main activities of the laboratory:
- Elective disciplines in the development and research of games within the framework of the bachelor's degree (from autumn 2022)
- Elective disciplines in the development and research of games within the framework of the master's program (from autumn 2023)
- Mentoring GameDev projects
- Support in finding internships and career opportunities in game development for students and graduates of KBTU
- Organization of open educational events for the GameDev community
- Research activities and scientific publications in the field of development and research of video games
GameDev education
The first university in Kazakhstan offering a specialization (minor) in game development and computer graphics.
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As part of the bachelor's degree, students can choose one or more elective disciplines:
development and research video games
- Introduction to game design and development
- Introduction to narrative design
- unity engine basics
- Advanced Unity
- Unreal Engine basics
- Advanced Unreal Engine
- Gamification and Game studies
computer graphics and modeling
- Filmmaking and motion design
- VFX & 3D physics
- object modeling
- 3D character design
- AR/VR
Master's degree
As part of the master's program, students can choose one or more elective disciplines to specialize in game development:
- Accelerated Unity Game Engine
- Accelerated Unreal Engine
- Game engines architecture
- Game programming patterns
- Game graphics programming
- Game systems programming
- XR (AR/VR)
Mentoring gaming projects
Mentoring program for beginners and researchers videogames in GameLab KBTU aims to support both team and individual projects. As part of mentoring, competent support is provided in project management, assistance with production, promotion, and the search for investments and development opportunities. A roadmap is worked out with each resident of the mentoring program, expected results are discussed and regular meetings are held throughout 1 academic year.
Conditions participation:
- Selection produced annually in September
- To participate in the competition, you must submit a concept document of the game or research abstract
- Teams are allowed to participate in the competition, which include at least 1 student / master student / employee of KBTU
Public events
- on game development for students and graduates
- in cooperation with the United Nations Children's Fund (UNICEF) in Kazakhstan
GameLab team KBTU
Alexandra Knysheva - Head of GameLab KBTU. Lecturer in the discipline "Gamification and Video Game Research". MA in Media studies.
Email:
Almaskhan Baimyshev - senior researcher at GameLab KBTU, teacher of master's and undergraduate disciplines in Unreal Engine and game programming architecture. PhD in Robotics, Vanderbilt University. Hyper mobile game developer Pixel Beast and STYX Vertical platformer.
E-mail:
Dmitry Tuchashvili - senior researcher at GameLab KBTU, teacher of master's and undergraduate disciplines in Unity and CG (computer graphics and modeling). MA in Data science. Practicing developer of VR solutions on Unity.
E-mail:
Alexander Mezin - GameLab business consultant KBTU, head of the mentoring program GameLab KBTU. One of the creators of the .
E-mail:
Vyacheslav Bairamov - a practicing game designer and specialist in narrative design, co-owner of the game studio "TOPchan Games"
E-mail:
Yulia Sutchenko is a teacher of CG -track disciplines (computer graphics and modeling). Practicing Expert AR / VR , XR UX designer at is working on the .
E-mail:
Nazim Zhumabayeva - junior researcher at GameLab KBTU. Game developer Iz, resident of the first stream of the mentoring program GameLab KBTU.
E-mail:
{spoiler=Intelligent Robotics and Mechatronics Laboratory}
Research areas:
- Applications of AI in robotics
- Mobile robots: Navigation, control, and motion planning
- Mobile manipulation and teleoperation
- Mechatronics, sensing, and perception
Equipment:
- Kuka robot
- DoBot
- Tutlrbot3
Projects:
- RoboArt: DALL-E and KUKA Robot for 2D sketch.
- RoboBloom: Robotic flowers.
- ChatGPT on Reconfigurable robots (in-collaboration with Singapore university of Technology & design).
- SiR: Surveillance and Inspection Robot for industrial applications
- Precision Landing: A DL based free-fall object landing on target.
team:
Prof. Muhammad Ilyas, Ph.D in Robotics Engineering.
PhD students:
- Darkhan: Robotics manipulation, trajectory planning, lidar/camera fusion
Master students:
- Sani Abdullah: Deep generative algorithm in teaching, Advanced AI
- Zakir: Gesture recognition, AI based Sign-language.
- Yunus: Control systems, AI-based industrial monitoring
- Adilet karim: Deep learning applications in robotics, park cleaning robots
- Sakina: Semantic segmentation for robotics, DL in health applications
- Zhandaulet: Teleoperated robots for industrial inspection and surveillance
BS students:
- Rasul
- Kristina
- Vadim
- Amir khan
- Alibek
- Diana
Publications:
- Patent:
Technology Disclosure (TD): DigiSup: Robot-Assisted Supervision and Monitoring of Construction Progress.
Authors: Cheah Chien Chern; Ilyas Muhammad; Muthuchamy Selvaraj Nithish; Jin Yuxin; Zhao Xinge; Chen I-Ming. (This TD is filed on 24 January 2022,
Singapore provisional patent application number 10202200709W).
- International Journals: (ORCID: ).
- Muhammad, I., Ying, K. H., Nithish, M. S., Xin, J. Y., Xinge, Z., & Cheah, C. C. (2021). Robot-Assisted Object Detection for Construction Automation: Data and Information-Driven Approach. IEEE/ASME TRANSACTIONS ON MECHATRONICS, VOL. 26, NO. 6, DECEMBER 2021.
- Manuel Vega-Heredia, Ilyas Muhammad , Sriharsha Ghanta , Vengadesh Ayyalusami , Siti’ Aisyah Binte Jaylani , Mohan Rajesh Elara, “Multi-Sensor Orientation Tracking for a Facade Cleaning Robot”, Sensors 2020, 20(5), 1483; .
-
, , , “Complete coverage path planning using reinforcement learning for Tetromino based cleaning and maintenance
robot” Automation in construction, 2019 , . - Balakrishnan Ramalingam, P. Veerajagadheswar, Muhammad Ilyas, Mohan Rajesh Elara, and A. Manimuthu, “Vision-Based Dirt Detection and Adaptive Tiling Scheme for Selective Area Coverage,” Journal of Sensors, vol. 2018, Article ID 3035128, 13 pages, 2018. .
- , , , , , , and , “Visual Inspection of the Aircraft Surface Using a Teleoperated Reconfigurable Climbing Robot and Enhanced Deep Learning Technique” , International Journal of Aerospace Engineering, Volume 2019, Article ID 5137139, 14 pages, .
- Ramalingam, B.; Lakshmanan, A.K.; Ilyas, M.; Le, A.V.; Elara, M.R. “Cascaded Machine-Learning Technique for Debris Classification in Floor-Cleaning Robot Application”,Appl. Sci. 2018, 8(12), 2649; .
- Muhammad Ilyas, Shi Yuyao, Rajesh Elara Mohan, Manojkumar Devarassu, and Manivannan Kalimuthu, “Design of sTetro: A Modular, Reconfigurable, and Autonomous Staircase Cleaning Robot,” Journal of Sensors, vol. 2018, Article ID 8190802, 16 pages, 2018, .
Conference Proceedings:
- "RoboArt: DALL-E and KUKA Robot Shake Hands", Presented at the 17th International Conference on Electronics Computer and Computation (ICECCO 2023), SDU Almaty.
- N.M. Selvaraj, M. Ilyas, and C.C. Cheah, “Towards dependable Object Detection”, in IECON 2020, The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020, 00. 523-528.
{/spoilers}
{spoiler=Laboratory of Artificial Intelligence}
OBJECTIVES OF THE LABORATORY
Research and/or development work and as well as other scientific, technical and teaching activities.
TASKS
- Implementation of scientific, technical and scientific state programs (fundamental, applied priority areas), as well as tasks solved by the international scientific community within the framework of foreign scientific grants and projects
- Assistance in the preparation of master's, doctoral dissertations in the relevant field of scientific fields
- Conducting a wide range of research in the field of natural language processing, contributing to the organization of a scientific school of natural language processing of the Kazakh-British Technical University
- Development of innovative IT solutions based on AI in various economic areas for the local and global market
- Development of new mathematical designs, models, and approaches for data analysis from any areas of business and technology
- Conducting joint scientific research with domestic and foreign technical, scientific, socio-economic organizations
- Creation of conditions for the commercialization of scientific and technical activities to attract partners and investments.
- Participation in international scientific and technical activities
FUNCTIONS
- Collection and processing of data of various modality, pre-project research
- Development of prototypes of intelligent solutions
- Development, design, numerical experiments
- Development, design, validation of numerical methods and algorithms (including but not limited to Deep Learning, Natural Language Processing, etc.)
- Search for potential customers
- Conducting internships and advanced training courses in scientific profiles that coincide with the activities of the laboratory
- Participation in state and international scientific grants and programs
Artificial intelligence laboratory team
Iskander Akhmetov - Laboratory Coordinator, PhD in computer Science
School Track Instructor: Python Programming, Natural Language Processing
Pak Alexander - Leading Researcher, Ph.D.
​School Track Instructor: Elements of Mathematical Analysis​, Computer Vision​
{/spoilers}