جست‌وجوی استاد و پژوهشگر

• Control Systems
• Robotics
• Spacecraft Attitude Control
• +۷ مورد دیگر

Jan Tommy Gravdahl is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His research focuses on advanced control systems, robotics, and their applications in marine, aerospace, and industrial systems. Key interests include underwater robotics, spacecraft attitude control, nonlinear control, and model predictive control. Research Interests: Development of control algorithms for autonomous underwater vehicles (AUVs) and snake robots, including path following, energy shaping, and compliant interaction. Spacecraft attitude control systems, emphasizing energy optimization and solar-powered mission execution. Robust control methodologies such as sliding mode control (e.g., super-twisting algorithm) and task-priority frameworks. Integration of learning-based techniques (e.g., reinforcement learning, neural networks) into model predictive control architectures. Applications in robotics for manufacturing, including additive manufacturing and sensor-guided robotic systems. Publications Trends: Recent work emphasizes underwater robotics (snake robot locomotion, wake navigation), spacecraft control (energy-optimal attitude maneuvers), and advanced MPC frameworks. Key themes include safety constraints, real-time adaptation, and multi-robot cooperation. Advising/Grants: Advises students on topics ranging from control theory to robotics applications. Collaborates on projects funded by industries and research councils, though specific grants are not listed here. Labs/Teams: Likely involved with NTNU’s robotics and automation groups, particularly in underwater robotics and aerospace control systems research.

Tor-Morten Grønliمشاهده پروفایل

دانشیار

• Internet of Things
• Machine Learning
• Software Architecture
• +۴ مورد دیگر

Tor-Morten Grønli serves as Associate Professor in Digital Innovation at the University of Oslo's Department of Informatics (IFI), holding a PhD in Computer Science from Brunel University, London. His research bridges theoretical computer science with practical applications in intelligent systems. Specializing in Internet of Things, machine learning, and software architecture , his work demonstrates particular expertise in transport systems and healthcare applications. Recent publications reveal a strong focus on blockchain integration, federated learning for edge networks, and mobile sensor applications - with notable contributions to public transport optimization and medical IoT security. His 15 most recent articles (2023-2025) show consistent publication in high-impact venues including IEEE Transactions and Springer conference proceedings, with recurring themes of secure distributed systems and intelligent transport solutions . Collaborations span international institutions with frequent co-authorship patterns indicating stable research partnerships. Contact information is maintained through the university's standard email format ( tormor@ifi.uio.no ), reflecting active institutional affiliation. No specific research grants or laboratory facilities are detailed in the provided materials, though the publication record suggests ongoing funded research activity.

• Robotics
• Agricultural Robotics
• Adaptive Control Systems
• +۶ مورد دیگر

Antonio Candea Leite is an Associate Professor at the Department of Mechanical Engineering and Technology Management, Norwegian University of Life Sciences (NMBU). His research focuses on adaptive and robust control systems, visual servoing, robot manipulators, and agricultural robotics applications. His work emphasizes: Development of autonomous navigation systems for agricultural robots Integration of computer vision for precision agriculture tasks Control strategies for uncertain robotic systems Automation in food quality measurement and pest management Advanced sensor integration for manufacturing processes Recent research trends show strong emphasis on: CNN-based crop row detection for autonomous navigation (2024) Human-robot collaboration frameworks for fruit picking (2024) Robotics solutions for fatty acid measurement in food production (2023-2022) Precision pest control systems using smart automation (2023) No scientific awards or grants are explicitly listed in the provided information. He is actively involved in advising and developing robotic platforms for agricultural and industrial applications without specific student names mentioned here.

• Distributed Computing
• High-Performance Computing
• Distributed Shared Memory
• +۷ مورد دیگر

Tore Brox-Larsen is an Associate Professor in the Department of Informatics at UiT The Arctic University of Norway. His work centers on distributed computing, high-performance systems, and large-scale visualization technologies. He is actively engaged in research involving sensor networks, Arctic observatories, and remote visualization of scientific data. His research interests span distributed shared memory systems, MPI performance, tiled display walls, and networked visualization. He has made significant contributions to improving communication efficiency in cluster computing and enabling scalable interactive visualization environments. His work bridges computer systems engineering with applications in genomics and environmental monitoring. The most recent publications reflect a strong trend toward real-world deployment of large-scale systems, particularly in Arctic observation and healthcare informatics. His work emphasizes practical system design, latency optimization, and cross-platform interoperability in distributed environments. Tore Brox-Larsen has collaborated extensively with researchers such as Otto Anshus, John Markus Bjørndalen, and Brian Vinter. While no formal advising or grant history is listed, his sustained publication record indicates active research leadership and team-based scientific inquiry. He has contributed to major projects including the development of a large-scale Arctic observatory sensor system and interactive tiled display walls. His work supports both academic research and societal applications in health and environmental science.

• Cyber Sovereignty and Network Security
• Internet Testbeds
• Distributed Systems
• +۸ مورد دیگر

Thomas Dreibholz is a Chief Research Engineer at Simula Metropolitan's Center for Resilient Networks and Applications. He specializes in cyber sovereignty, network security, and internet testbeds, with extensive work on distributed systems, cloud computing, and 5G networks. Affiliation: Simula Metropolitan, Oslo, Norway Research Focus: Multi-path transport protocols, network resilience, and privacy-preserving frameworks His research explores the intersection of network security, cloud/fog computing, and next-generation communication protocols. Recent work includes HiPerConTracer for network analysis, privacy-aware fog platforms , and multi-layered federated learning security . He contributes to testbed development, including the NorNet infrastructure for real-world multi-path transport research. Publications reflect expertise in multi-path TCP , 5G network optimization , and cloud/fog security . He has delivered invited talks at institutions like Hainan University and Princeton University, emphasizing open-source testbed deployment and educational outreach.