Laboratory of artificial intelligence technologies is a structural educational and research unit of Ivan Franko National University of Lviv.
Roman Shuvar, scientific director of the laboratory.
Artificial
Intelligence Technology
Laboratory 
Intelligence
Laboratory
About the laboratory
Laboratory of Artificial Intelligence Technologies was created by the order of the rector №0-10 of 19.02.2021 in pursuance of the decision of the Academic Council of the University of 27 January 2021, Minutes No. 3/1
About the laboratory in brief
The main objectives of the laboratory are to research and implement new artificial intelligence technologies, research in related areas of modern information technology, development of methodological support for the practical use of artificial intelligence technologies in various fields.
The laboratory at work
A compact gallery of classrooms, events, practical sessions, prototyping and demonstrations that shows the laboratory as a working environment.
AI Directions
AI Directions
Topic pages for the laboratory’s key AI directions: medicine, computer vision, hospital systems and the public sector.
Medical AI
Medical AI The Artificial Intelligence Technology Laboratory at LNU researches medical AI: computer vision, hospital CRM systems, data analytics, digital prototypes and responsible AI integration.
Computer Vision
Computer Vision in Medicine Research on computer vision in medicine at LNU: surgical instrument recognition, cameras, model training, process control and responsible integration into hospital environments.
AI for Hospitals
AI for Hospitals AI for hospitals by the LNU AI Laboratory: research into CRM systems, staff, patients, wards, tasks, PDF reports, classifiers and internal analytics.
Public Sector AI
AI for Public Sector AI for the public sector by the LNU AI Laboratory: urban data analytics, transport research, interactive maps, dashboards, process automation and responsible software solutions.
Web development
Web Application Development The LNU AI Laboratory develops web applications, CRM systems, user portals, dashboards and research prototypes for universities, hospitals, public institutions and companies.
Mobile development
Mobile App Development Mobile app development at LNU: iOS and Android prototypes, mobile portals, field interfaces, notifications, API integrations and AI features.
Software engineering
Custom Software Development Custom software development for research, education, healthcare, city and business workflows: architecture, APIs, portals, databases, reports and integrations.
CRM systems
CRM Systems Development CRM systems development for hospitals, education projects, laboratories, public institutions and companies: records, tasks, roles, reports, integrations and logging.
Data analytics
Data Analytics and Dashboards Data analytics, dashboards and BI prototypes for cities, healthcare, education and business: interactive maps, metrics, filters, time windows and problem-area detection.
AI integration
AI Integration for Business AI integration into business workflows: AI search, document analysis, routine automation, chatbots, recommendations and prototypes for companies.
Machine learning
Machine Learning Development Machine learning development at LNU: data preparation, model training, quality evaluation, experiments, inference prototypes and ML integration into web systems.
Computer vision
Computer Vision Solutions Computer vision solutions for healthcare, city infrastructure, education and research: object detection, image classification, video analytics, quality control and validation interfaces.
AI assistants
AI Chatbot Development AI chatbot and assistant development for universities, companies, public institutions and hospitals: document search, user answers, internal assistants and RAG prototypes.
Infrastructure
Cloud, DevOps and Infrastructure Cloud and DevOps direction of the LNU AI Laboratory: Kubernetes, Docker ecosystem, Proxmox, GPU inference servers, CI/CD, monitoring and server infrastructure for AI projects.
AI education
AI for Education and EdTech AI for education and EdTech: learning platforms, school systems, mentoring, assignment review, digital portals, progress analytics and student support.
Civic tech
Public Dashboards and Open Data Public dashboards, open data and civic tech solutions: maps, statistics, metrics, analytics panels, open data and understandable services for communities.
Employees
Shuvar Roman
scientific supervisor of the laboratory
Stolyarchuk Oleg
Head of the laboratory (mobilised by the Armed Forces of Ukraine)
Valerii Tkachuk
Head of laboratory
Petro Kulyk
Lead engineer (0.5)
Olga Ryabchuk
Lead engineer (0.5)
Latest projects
Schools
DES-2026 Winter IT School Held at LNU Lviv University completed the seventh Data Engineering and Security winter school, bringing together nearly 1,500 participants around modern IT disciplines.
Schools
AITss-2025 Summer School on Artificial Intelligence Technologies Held at LNU Ivan Franko National University of Lviv hosted the fifth international English-language AITss-2025 summer school, bringing together participants from 27 countries around modern AI topics.
Schools
Lviv Academy of Drones and Defense Technologies "DrDrone-2025" Held with the Ministry of Defense of Ukraine Ivan Franko National University of Lviv scaled DrDrone for the second time as an academy of drones and defense technologies together with the Ministry of Defense of Ukraine.
Latest research
Research
Intelligent Analysis of Traffic and Congestion on Lviv Road Infrastructure A research project by the laboratory together with Lviv City Council for analysing traffic flows, intersection load and congestion factors on Lviv streets.
Research
Research and Development of a CRM System for Unbroken Hospital The laboratory researched and developed a demonstrational CRM system for a medical institution: patients, staff, wards, tasks, NK 025:2021 diagnoses, PDF reports, permissions and audit logs.
Research
Surgical Instrument Recognition System for St. Panteleimon Hospital The laboratory researched and developed a camera-based computer vision system for recognizing, training and digitally cataloguing thousands of surgical instruments.
AI Infrastructure
Computing Resources
The laboratory maintains infrastructure for educational, research and applied AI workloads: Proxmox, Rocks Cluster, Kubernetes, Docker ecosystem and AI inference servers.
AI Cooperation
Open to Cooperation
We are ready to work with universities, laboratories, public institutions and companies on research, AI integration and applied software solutions.
Universities Research laboratories Public institutions Companies
Research
The main areas of research carried out in the laboratory are:
Research development in the field of artificial intelligence technologies, in particular machine learning, deep learning, computer vision, natural language processing, pattern recognition, knowledge engineering, knowledge representation, knowledge graphs, data mining and analytics, big data, small data, cloud technologies, heuristic, metaheuristic and genetic algorithms, optimisation problems, intelligent solutions, smart robots, edge AI, FPGA, cognitive computing, virtual reality, social networks.
Implementation of research results in various fields, including education and training of specialists in artificial intelligence, medicine, environmental protection, smart technologies (home, car, robots, etc.).
The laboratory is currently implementing three projects:
- Intelligent analysis of the city's road infrastructure congestion based on video surveillance camera data
- Identification and classification of transport location on urban territorial infrastructure facilities based on satellite images of the city
- Development of an intelligent system for recognizing, classifying and recording surgical instruments.
These projects are implemented in close cooperation with the staff of the Lviv City Council and the first territorial medical association of Lviv.