جستجوی استاد راهنمای دانشگاهی

Andrei Lobovمشاهده پروفایل

دانشیار

• Knowledge-Based Engineering
• Artificial Intelligence in Manufacturing
• Ontology-Based Systems
• +۵ مورد دیگر

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.

• Robotics
• Control Systems
• Artificial Intelligence
• +۳ مورد دیگر

Martin Pierre Francois Jacquet is a Research Fellow at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His work focuses on advanced robotics, specifically in collision avoidance systems and autonomous navigation using deep learning and control theory. He has contributed to conferences such as IEEE ICRA and IROS, presenting research on neural control barrier functions and model predictive control (MPC) frameworks. Research interests include integrating deep neural networks with traditional control methods to enhance safety and resilience in autonomous systems. His publications emphasize real-world applications of robotics, particularly in environments requiring dynamic obstacle avoidance. Recent work explores modular deep learning architectures for aerial robot navigation. No scientific awards are explicitly mentioned in the provided text. His professional activities include academic lectures and poster presentations at major robotics conferences, such as the European Robotics Forum and IEEE/RSJ IROS. No advisory or grant information is available in the current data.

• Logic in Computer Science
• Knowledge Representation
• Ontology Engineering
• +۷ مورد دیگر

Jon Henrik Forssell is an Associate Professor in the Department of Informatics at the University of Oslo, Faculty of Mathematics and Natural Sciences. His research focuses on the theoretical foundations of data and knowledge systems, combining logic, type theory, and database theory. Research Interests: Logic in Computer Science Knowledge Representation and Ontology Engineering Type-Theoretic Foundations of Databases Formal Methods and Semantic Web Mathematical Logic and Categorical Semantics His recent publications show a strong trend in applying advanced logical and categorical frameworks to database and ontology problems, particularly through type theory and constructive logic. He has contributed to both theoretical advances in logic and practical tools for ontology design. Scientific Contributions: Developed the concept of 'Reasonable Ontology Templates' for efficient ontology engineering. Advanced the use of type theory in modeling database semantics. Contributed to logical duality and classifying toposes in mathematical logic. He collaborates extensively with researchers in logic and computer science and has co-authored works with Håkon Robbestad Gylterud, David I. Spivak, and Evgenij Thorstensen. While formal advisees are not listed, his collaborative work suggests an active role in mentoring junior researchers. He has no explicitly mentioned grants or awards in the provided text.

• Mechatronics
• Robotics
• Autonomous Systems
• +۳ مورد دیگر

Ilya Tyapin is an Associate Professor at the Department of Engineering Sciences , University of Agder. His work focuses on mechatronics, robotics, and autonomous systems with applications in battery recycling, flexible manipulators, and industrial automation. Research Interests: Tyapin investigates motion control for robotic systems, dynamic modeling of flexible manipulators, and sensor fusion techniques. His research enables technologies for energy storage applications and sustainable manufacturing. Notable Projects: RESTORE: Automated sorting and pre-processing of end-of-life batteries for high-purity material reuse Robotic disassembly systems for electric vehicle battery packs Flexible manipulator control with redundancy resolution Key Collaborations: Tyapin works with researchers from Norwegian University of Science and Technology, ABB, and Luleå University of Technology on offshore robotics and mechatronic design optimization. Teaching: He teaches courses in hydraulics, industrial robots, electric drives, and product development at both undergraduate and graduate levels.

• Biological Robotics
• Modular Robotics
• Marine Automation
• +۷ مورد دیگر

Professor Houxiang Zhang holds a faculty position at the Norwegian University of Science and Technology (NTNU), serving as a Professor in Mechatronics and Deputy Research Leader (Nestleder forskning) at the Department of Ocean Operations and Civil Engineering within the Faculty of Engineering. He joined NTNU in 2011 after completing a Habilitation in Informatics at the University of Hamburg (2011). His research focuses on biological robotics, modular robotics, virtual prototyping, and maritime mechatronics, with over 300 publications and multiple best-paper awards. Academic memberships include the Academy of the Royal Norwegian Society of Sciences and Letters (DKNVS), Norwegian Academy of Technological Sciences (NTVA), and IEEE Senior Member. He has led significant projects such as the EU Horizon-RIA Project "Robotic Safe Adaptation in Unprecedented Situations" and the NFR Research Infrastructure Program "The Digital Ocean Space-Møre Ocean Lab." Research interests span marine automation, AI applications, and hybrid modeling. Notable achievements include pioneering work in digital twin technology for maritime systems and contributions to offshore mechatronics. His lab, the Intelligent Systems Lab, focuses on integrating advanced technologies for marine operations and automation. Recent awards include the 2024 Best Paper Award from IEEE RAS and multiple finalist recognitions at robotics and automation conferences. Current research emphasizes autonomous ship systems, environmental modeling, and data-driven decision support for maritime safety and efficiency.

• Knowledge-Based Engineering (KBE)
• Advanced Manufacturing Systems
• IoT and Industry 4.0
• +۵ مورد دیگر

Andrei Lobov is an Associate Professor at the Department of Mechanical Engineering and Manufacturing, Faculty of Engineering at NTNU. His research focuses on Knowledge-Based Engineering (KBE), advanced manufacturing systems, IoT integration, and robotics automation. He has extensive experience in developing ontology-based solutions for CAD integration, industrial robotics programming, and human-robot collaboration systems. His work emphasizes interoperability, sustainability, and digital thread implementation across engineering domains. Key research areas include parametric design automation, semantic web applications in engineering, and IoT-driven environmental systems. Recent projects involve optimizing warehouse systems using modular Petri nets, smart textile waste management, and AI-enhanced bearing condition monitoring. He has supervised doctoral research such as Yu Wang's thesis on acoustic emission-based bearing monitoring. Lobov actively publishes in journals like Advanced Engineering Informatics and The International Journal of Advanced Manufacturing Technology. His work bridges theoretical KBE frameworks with practical industrial applications, contributing to both academic conferences (IEEE, AIP) and industry-focused forums. He has organized international conferences like the IEET series and presented at venues such as Nor-Fishing 2024 on digital twin applications in fisheries.

Kai Olav Ellefsenمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Deep Learning
• Evolutionary Algorithms
• +۶ مورد دیگر

Kai Olav Ellefsen is an Associate Professor at the Department of Informatics (IFI), University of Oslo, specializing in biologically inspired artificial intelligence and robotics. He leads research within the Robotics and Intelligent Systems (ROBIN) research group, focusing on how biological principles can inform the development of more intelligent robotic systems. Ellefsen's research interests span multiple areas of artificial intelligence, with particular emphasis on evolutionary algorithms, reinforcement learning, and neuroevolution. His work explores how robots can learn from experience without disrupting previously acquired knowledge, adapt to new situations, interpret sensor data, and build environmental models. He investigates these challenges at various levels of abstraction, from simple simulations to real-world robotic implementations. His research often bridges computer science with biological inspiration to create more robust and adaptive intelligent systems. His recent publications demonstrate a strong focus on quality-diversity optimization, evolutionary robotics, and the application of AI to environmental monitoring and network quality assessment. The research shows a consistent pattern of exploring how diversity in evolutionary algorithms can lead to more robust solutions, how robots can adapt to changing environments, and how predictive models can be transferred across different tasks. There's a clear progression from theoretical exploration of evolutionary algorithms to practical applications in robotics and networking. Norwegian Artificial Intelligence Society Best Master Thesis Award (2010) Ellefsen actively supervises numerous PhD and Master's students, with a current focus on evolutionary robotics, neuroevolution, and AI safety. His supervision portfolio includes both theoretical work on evolutionary algorithms and practical applications in robotics. He has been involved in several research projects including the Predictive and Intuitive Robotic Assistant (PIRC) project. His teaching includes courses such as IN3050/4050 - Introduction to Artificial Intelligence and Machine Learning, and IN5490/9490 - Advanced Topics in Artificial Intelligence for Intelligent Systems. As part of the Robotics and Intelligent Systems (ROBIN) research group, Ellefsen collaborates with researchers working on various aspects of intelligent systems, from theoretical foundations to practical implementations. His work often involves interdisciplinary collaboration, particularly with researchers in mechanical engineering, biology, and environmental science to develop robotic systems with real-world applications.

• Automotive Engineering
• Mechatronics
• Motion Control
• +۳ مورد دیگر

Maarten Steinbuch is a Distinguished University Professor in Systems and Control and Chair of Control Systems Technology at Eindhoven University of Technology (TU/e). His research focuses on automotive engineering, mechatronics, motion control, fusion plasma control, and robotics for precision surgery. He has held roles such as Scientific Director of the TU/e High Tech Systems Center (2014–2020) and Scientific Director of the Eindhoven Engine (since 2018). Education: MSc and PhD from Delft University of Technology. Research Interests: Design and control of motion systems, robotics, automotive powertrains, and fusion plasmas. Notable contributions include advanced motion control techniques, precision surgery robotics, and electric vehicle technologies. Awards: IEEE Fellow (2019) Simon Stevin Master 2016 (National Award) University Professor at TU/e (2013) KIVI Academic Society Award (2015) Grants/Projects: Leads projects like TKI2212P06 (Modular Planar Motor for semicon applications) and participates in EU-funded initiatives such as AI-matters. Active in entrepreneurial ventures like Steinbuch in Motion B.V. and MicroSure Founders B.V. Labs/Teams: Head of the Control Systems Technology group and affiliated with TU/e's High-Tech Systems and Mechatronics Academy.