Computer Engineering : Applied AI and Robotics

polygon uas

SDB

AI TERRITORY

UAS PILOTING CENTER

INTELLIGENT TECHNICAL SYSTEMS

THE CENTER OF INNOVATIVE CREATIVITY

FACULTY OF INNOVATIVE TECHNOLOGIES

TOMSK STATE UNIVERSITY

Students complete internships at leading companies in the field of robotics in Russia

An open workshop with high-tech equipment and CNC machines for students

Students participate in major projects from global companies

Our students create innovative businesses during their studies

Note: When applying through any admissions portal, please remember to include the code and name of the program.

The admission process to TSU is provided through an official TSU admissions

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

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.

Code: 09.04.02 Information Systems and Technologies

The main language of Master's program: English

Entrance Exams: Interview + motivation letter

Form of Education: Full-Time (in-campus) 120 EC or Full-Time (in-campus + distance learning) 120 EC

Tuition fees: 412 000 rubles

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.

Stanislav Shidlovskiy, Professor, Doctor of Engineering

Affiliation: National Research Tomsk State University

Address: 634050, Russia, Tomsk, Lenin ave., 36/3, Tomsk State University, Faculty of Innovative Technologies

Positions:
Dean of Faculty of Innovative Technologies (from 2017)

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

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.

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.

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

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".

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

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.

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.

Design control system for detecting network attacks.

Students have the opportunity to propose their own research topics and discuss them with their scientific advisors.

Research Areas:
- artificial intelligence for unmanned aerial system
- autonomous unmanned aerial
- vision system
- control systems

UAV Training Area
Specifications:
- space (14 x 17 x 8) m
- advanced motion capture system:
- 34 cameras (up to 400 fps)
- object positioning accuracy - 0.1 mm

AV Training Center
Specifications:
- high-performance computer classroom
- gyroscopic stand for testing control systems for unmanned aerial

Opportunities:
- creation and development of control systems for unmanned aerial, specialized software
- creation of test benches and testing methods for unmanned aerial

At the Faculty of Innovation Technologies we believe that with hard work and determination, anyone can max out their potential. Just ask our Students!

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.

- Ehsan Saleh

- Edgar Solis Romeu Web Developer - ABC Inc.

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.

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

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

- Michael Oduro Persuing Higher Studies

- Mainak Mondal Engineer - TSU.

TESTING GROUND FOR UNMANNED AIRCRAFT SYSTEMS

The flight range for unmanned aircraft systems (UAS) is a specially equipped area where UAS tests, training and testing are carried out.

1

STUDENT DESIGN BUREAU "GEOSCAN-TOMSK"

The GeoscanTOMSK Design Bureau of the Faculty of Innovative Technologies, together with its industrial partner GC Geoscan, is an exciting world of developing unmanned aircraft systems, where students apply theoretical knowledge in practice.

2

LABORATORY OF INTELLIGENT CONTROL SYSTEMS

It creates innovative intelligent control systems for mobile and industrial robotics, as well as for automation of various industrial processes.

5

THE CENTER OF YOUTH INNOVATIVE CREATIVITY "INTELLECT"

Here, students and young professionals receive unique opportunities for rapid prototyping, creating prototypes and small-scale products using advanced technologies.

6

THE TERRITORY OF ARTIFICIAL INTELLIGENCE

In this space, students and teachers can learn the basics and practical aspects of AI, participate in research projects, and share knowledge with experts in the field.

3

PILOTING CENTER FOR UNMANNED AIRCRAFT SYSTEMS

Virtual drone flights are simulation training sessions that allow pilots to practice and improve their piloting skills safely and efficiently.

4

TSU is one of the leading universities in Russia

The oldest university in Siberia and the Far East. TSU is one of the 11 leading universities in the federal program "Priority 2030". He is also one of the six participants in the pilot project of the Ministry of Education and Science on the transformation of the Russian higher education system.

7th place
according to QS World University Rankings 2025

6th place
in the National University Ranking in 2024 according to Interfax

4th place
in the international university ranking Round University Rankings 2025

LABORATORIES AND EDUCATIONAL SPACES

TOMSK STATE UNIVERSITY

36/3 Lenin Ave., Tomsk, Russia

Faculty of Innovative Technologies

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