Andrei Lobov
Background and activities
I am working on developing a framework for efficient building of knowledge-based products and knowledge-driven systems, where the knowledge is represented in machine-processable format thus allowing automated reasoning. I am searching for and developing an “ideal” language for knowledge representation along with engineering tools to manage products and smart systems design via their lifecycles with the help of the tools and techniques originated from the field of Artificial Intelligence. My research interests include efficient integration of multi-disciplinary engineering knowledge, its proactive use and support by digital tools.
Scientific, academic and artistic work
Journal publications
- (2020) Emotions-aware Digital Twins For Manufacturing. Procedia Manufacturing. vol. 51.
- (2020) Object-oriented approach to product design using extended NX Open API. Procedia Manufacturing. vol. 51.
- (2020) Formalization of engineering knowledge for industrial robots using Knowledge Fusion language. Procedia Manufacturing. vol. 51.
- (2020) Automatic weld path definition in CAD. Procedia Manufacturing. vol. 51.
- (2020) Ontology-based model generation to support customizable KBE frameworks. Procedia Manufacturing. vol. 51.
Books
- (2019) “INSTRUMENTATION ENGINEERING, ELECTRONICS AND TELECOMMUNICATIONS - 2019” Proceedings of the V International Forum (Izhevsk, Russia, November 20-22, 2019) Publishing House. 2019. ISBN 000-000-00000-0-0. Proceedings of the V International Forum (2019).
Part of book/report
- (2019) A Unified Ontology Namespace for Enterprise Integration – A Digital Twin Case Study. “INSTRUMENTATION ENGINEERING, ELECTRONICS AND TELECOMMUNICATIONS - 2019” Proceedings of the V International Forum (Izhevsk, Russia, November 20-22, 2019) Publishing House.
- (2019) Towards a Web-Based Framework for Computer-Aided Manufacturing. “INSTRUMENTATION ENGINEERING, ELECTRONICS AND TELECOMMUNICATIONS - 2019” Proceedings of the V International Forum (Izhevsk, Russia, November 20-22, 2019) Publishing House.
- (2019) An Affordable Deep Learning Based Solution to Support Pick and Place Robotic Tasks. “INSTRUMENTATION ENGINEERING, ELECTRONICS AND TELECOMMUNICATIONS - 2019” Proceedings of the V International Forum (Izhevsk, Russia, November 20-22, 2019) Publishing House.