Website for applicants of the Faculty of Innovative Technologies

Admission Requirements
Applicants must have a Bachelor’s degree in computer science (or related area) and basic knowledge in programming, mathematics (linear algebra, linear differential equations), circuit theory, and computer architecture.

Entrance Exams
According to the admission procedure for the Master’s degree program, applicants undergo entrance exams. The entrance exam consists of a motivation letter and an interview. After submiting the application, we suggest you to prepare a short(1-2 pages) motivation letter and prepare for the interview. You will be contacted shortly after the application is submitted. Sample questions for the interview can be downloaded here.
All applicants are encouraged to start applications early and take their time presenting their portfolio. It takes about 3 months to complete all the admission procedures and arrive here.
Detailed instructions about the admission process can be found here. If you have any questions, feel free to contact us by e-mail at Robotics@mail.tsu.ru

The payment schedule for tuition fees is divided into three equal parts, with payments due in spring/summer (after signing an agreement on providing paid educational services), November, and February of the following calendar year.

The program is designed for individuals who are capable and interested in conducting research projects in Applied Artificial Intelligence and Robotics. Students will acquire skills and knowledge in computer-assisted vision, intelligent vision systems, simulation modeling of complex technological processes, and mathematical modeling of processes. They will also learn how to develop and operate autonomous mobile robotic systems, automated information systems, and unmanned transport systems.

Field of interest:
- Adaptive control system
- High-Performance Computing
- Embedded systems
- Image processing and recognition;
- Machine learning;
- Autonomous vehicles;
- Robotics

Courses Taught:
- System simulation;
- System engineering;
- Theory of control systems.

In 2002, he graduated from Tomsk Polytechnic University with a degree in Automation of Technological Processes and Productions. From 2002 to 2004, he completed postgraduate studies at Tomsk State University of Control Systems and Radioelectronics, specializing in Automation and Control of Technological Processes and Production. In 2004, he earned his PhD in Engineering by defending a dissertation titled "Reconfigurable Structures in Automatic Control Systems of Technological Processes". Later, in 2007, he obtained his Doctor of Engineering with a dissertation on Development and Research of Reconfigurable Computing Environments for Automatic Control Systems. Since 2008, he has been a professor at Tomsk Polytechnic University, Tomsk State University, and Tomsk State University of Control Systems and Radioelectronics. From 2009 to 2017, he also held the position of head of the Laboratory of High-Performance Reconfigurable Systems at Tomsk State University.

Major awards:
Winner of the 2009 "Hope of Russia" youth award from the Russian Union of Scientific and Engineering Public Organizations in science and technology.

Medal of the Russian Academy of Sciences and prizes for young scientists from RAS, as well as other institutions and organizations in Russia, for the work on "Reconfigurable Computing Structures in Automation Systems".

The primary focus of his current research is on developing new methods and algorithms for computer vision systems, as well as implementing them on computer systems with parallel-pipeline architecture. Since 2017, there has been a practical emphasis on developing autonomous control systems for unmanned vehicles and exploring novel approaches to constructing visual navigation systems.

Dean of Faculty of Innovative Technologies, Doctor of Engineering

The Faculty of Innovation Technologies at National Research Tomsk State University is a leading contributor to the development and research of Unmanned Systems in the country. The university's network of facilities promotes knowledge exploration and is driven by a culture of innovation. With an unprecedented commitment from the student center of Russia (Tomsk), TSU attracts internationally renowned faculty and the brightest students from around the world. The university also has a tradition of guiding and supporting outstanding students, making it stand out in academics and beyond. As a vibrant and progressive leader, the Faculty of Innovation Technologies at TSU fosters a diverse and dynamic culture that is equipped to meet the challenges of a changing global society.

- Intelligent systems for unmanned ground vehicles (working with Autoware, Apollo, and LGSVL Simulator).
- Design and simulation adaptive control system.
- Intelligent control system for UAV (computer vision, hardware-in-the-loop simulation, and testing).
- Computer vision systems (different applications, and simulation).
- Image Recognition with FPGA (simulation, MATLAB + Quartus).
- Construction of binary neural networks.
- Intelligent systems for research big data.
- Design control system for detecting network attacks.
- Research and development of security protocol for data transfer.
- Intelligent systems for semantic text analysis.
- Creation of web applications.
- Investigations in dynamics of plastic deformation processes in face-centered cubic (FCC) materials.

- Professional communication in a foreign language
- Systems and critical thinking
- Project management strategies and technologies
- Mathematical foundations of information systems
- Intelligent analysis of big data
- Automation of technology processes
- Technology management
- Theory of control systems
- TSU Digital Educational Environment

- Professional communication in a foreign language
- Leadership and Teamwork Management
- System simulation
- System engineering
- Distributed computing technologies
- Academic seminar
- System design
- AI and machine learning
- Research work 1
- Campus course

- Technologies of self-organization and intercultural interaction
- Methodology for solving scientific, technical and social problems
- Academic seminar
- System design
- Fundamentals of the theory of experiment
- Vision systems
- Navigation systems
- Embedded systems
- Production practice
- Research work 1

- Research work 2
- Production practice
- Preparation and defence of Master's thesis

Everyone at TSU is very friendly and helpful, I am greatful to get to be a part of the Tomsk State University Family.

- Edgar Solis Romeu Web Developer - ABC Inc.

- Mainak Mondal Engineer - TSU.

- Michael Oduro Persuing Higher Studies

Mainak Mondal is an M.S. graduate from Tomsk State University (2020), specializing in Robotics with a focus on advanced control systems for Unmanned Aerial Vehicles (UAVs).
During his time at TSU, he worked on various projects at the High Performance Reconfigurable Systems (HPRS) Laboratory under the guidance of Dr. Stanislav Shidlovskiy and Dr. Dimitry Shashev. His research contributions include the development of an infrared-guided autonomous multirotor landing system and a GPS-denied return-to-home system for multirotors, addressing key challenges in UAV navigation and autonomy.

As part of his flagship project, the DroneHunter, he and the team at the HPRS lab designed an autonomous scout/attack UAV equipped with advanced obstacle avoidance and autonomous flight routines. The system integrated a low-altitude radar-based threat detection module that autonomously activates the UAV and initiates a scan upon object detection. Additionally, they implemented an AlexNet-based CNN for real-time identification of aerial threats, enabling precision interception using a net-gun capture mechanism.

He is currently pursuing a Ph.D. in Computer Science and Engineering at the University of Connecticut, USA.

Tomsk State University has given me more than enough oppertunities to shine. Accepting TSU's offer was a turning point in my career.

Graduating FIT with an MSc in IT has been an incredibly rewarding experience. The program not only provided me with a strong foundation in advanced computing concepts but also offered hands-on opportunities to work with cutting-edge technologies. What truly made the journey special was the unwavering support of the professors and faculty staff. Their expertise, approachability, and willingness to guide students through challenges made learning both engaging and enjoyable. Whether it was through insightful lectures, research discussions, or one-on-one mentoring, they created an environment that fostered growth and innovation. I am truly grateful for their encouragement and for the collaborative learning atmosphere that helped me develop both technically and professionally.

- Ehsan Saleh