Andrei Lobov

Andrei Lobov is an Associate Professor at the Norwegian University of Science and Technology (NTNU), Department of Mechanical and Industrial Engineering. He specializes in knowledge-based engineering (KBE), AI-driven manufacturing systems, and ontology-based frameworks. His research focuses on integrating multi-disciplinary engineering knowledge into automated design and manufacturing processes, emphasizing interoperability and extendibility of systems.

Education: B.S. in Computer and Systems Engineering (Tallinn University of Technology, 2001); M.S. in Automation Engineering (Tampere University of Technology, 2004); Ph.D. in Formal Methods in Factory Automation (Tampere University of Technology, 2008).

Research Projects:

• Robotic Welding for Shipbuilding with Aluminium Hulls (2019-2023) – Contributing as a supervisor
• DIGIMAN: Multi-disciplinary knowledge integration for digital manufacturing (2021-2023) – Technical coordinator
• PERSEUS DP (2021-2026) – Manufacturing lead

Research Interests: KBE frameworks, ontology-based systems, AI in manufacturing, digital twins, IoT integration, CAD/CAM automation, and interdisciplinary education. His work emphasizes leveraging semantic web technologies and machine-processable knowledge representation to enhance automation and interoperability in engineering workflows.

Key Awards:

• Best Paper Award (12th IFAC Symposium, 2006)
• Best Presentation Paper Award (IEEE Industrial Informatics, 2008)
• Best Paper Award (International Conference on Systems, 2012)

Teaching & Mentoring: Leads courses like TMM4270 (Knowledge-Based Engineering) and TMM4128 (Machine Learning for Engineers). Supervised over 20 MSc and PhD students, including notable works in KBE systems, human-robot collaboration, and IoT-driven manufacturing.

Labs/Teams: Active in the Design, Analysis and Manufacturing (DAM) group at NTNU, focusing on KBE, digital twins, and automation. Developed the MOVIDA Tools Framework for formal validation in manufacturing systems.