جستجوی استاد راهنمای دانشگاهی

Sebastien Nicolas Gros is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His research focuses on safe reinforcement learning (RL) and data-driven model predictive control (MPC), with applications in energy systems, biomedical engineering, and autonomous vehicles. Institution: Norwegian University of Science and Technology Department: Engineering Cybernetics His work emphasizes AI-driven optimization for domestic energy storage, battery integration, and smart building management. Collaborations include Equinor, DNV, Kongsberg, Volvo, and CorPower Ocean. Key themes in his publications include: Control theory for renewable energy systems (wave energy converters, buildings) Biomedical applications (artificial pancreas, glucose monitoring) Transportation systems (electric vehicles, autonomous ships) Machine learning integration with physical models He supervises 6 PhD students and co-supervises projects on multi-rotor wind turbines and industrial PhD collaborations. The articles demonstrate a convergence of RL, MPC, and uncertainty quantification across energy, biomedical, and transportation domains.

• Safe Reinforcement Learning
• Data-Driven Model Predictive Control
• Artificial Intelligence
• +۷ مورد دیگر

Camilla Martha Ihlebæk is a Professor and Head of the Department of Public Health Sciences at the Norwegian University of Life Sciences (NMBU), Ås, Norway. She also holds a part-time professorship at Østfold University College. Her work focuses on public health at local and regional levels, with significant contributions to health promotion, social sustainability, and community development across Europe. She is actively involved in international collaborations, including with WHO Europe. Research Interests: Her research spans social capital, psychosocial work environments, vocational rehabilitation, health technology, and the built environment's impact on health. She emphasizes salutogenesis and co-creation in public health interventions. Her work often explores equity, inclusion, and wellbeing in diverse populations, including immigrants, cancer survivors, and people with dementia. The recent publications reflect a strong trend in qualitative and scoping research on urban environments (e.g., shopping centers as 'third places'), digital violence, care farms, and innovative health technologies like robotic seals (Paro). Her work bridges public health, urban planning, and social policy, emphasizing participatory and sustainable community development. Scientific Recognition: Member, Steering Committee, WHO Europe's Regions for Health Network (since 2019) Member, Expert Council for Social Inequalities in Health, Viken County, Norway Editorial Board Member, Nordic Journal of Wellbeing and Sustainable Welfare Development Advising and Grants: She teaches and supervises master’s students in public health sciences. She leads and contributes to multiple research projects focused on co-creation, rehabilitation, and health promotion, often in partnership with regional and municipal governments. Her leadership in projects like 'Co-creation of active meeting places' highlights her commitment to applied, community-based research. Labs and Teams: While no formal lab is mentioned, she collaborates extensively with interdisciplinary teams, including researchers from psychology, occupational therapy, urban planning, and social work. Her work is centered on real-world implementation through partnerships with public institutions and care farms.

• Public Health Sciences
• Social Capital
• Social Sustainability
• +۱۳ مورد دیگر

Nadia Saad Noori is an Associate Professor at the Department of Information and Communication Technology at the University of Agder (UiA). Since 2016, she has conducted research and teaching at CIEM - Centre for Integrated Emergency Management , and joined NORCE Norwegian Research Center as a Senior Researcher in 2018. Her work bridges industry experience (Cisco, hi-tech startups) with academic rigor , focusing on technology integration in crisis management , cybersecurity , and industrial monitoring systems . Her educational background includes: B.Sc. & M.Sc. in Computer Systems Engineering M.A.Sc. in Technology Innovation Management Ph.D. in Electronic and Information Systems Engineering Research interests span machine learning , autonomous systems , and security frameworks through: Disaster response coordination systems Industrial condition monitoring Humanitarian technology solutions Cyber-physical systems Recent publications demonstrate technical breadth : 2024: Thermal gesture recognition and UAV navigation in industrial spaces 2023: Cybersecurity frameworks and ecological pattern recognition 2022: Industrial seal diagnostics and autonomous systems She leads research groups in: Autonomous and Cyber-Physical Systems (ACPS) CIEM - Integrated Emergency Management Communication and System Security

• Machine Learning
• Artificial Intelligence
• Computer & Machine Vision
• +۱۰ مورد دیگر

Prof. Konstantinos Alexis is a Professor in the Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU). His research focuses on resilient robotic autonomy, emphasizing robot control, path planning, and Simultaneous Localization and Mapping (SLAM). He leads major international grants from agencies like DARPA, NSF, and the Norwegian Research Council, advancing autonomous systems for extreme environments such as subterranean exploration and search-and-rescue operations. His work integrates advanced control strategies with field robotics, demonstrated through projects like the DARPA Subterranean Challenge. Key contributions include robust model predictive control for UAVs, contact-based inspection planning, and graph-based exploration path planning. Alexis has organized workshops on aerial robotics at top conferences like ICRA and ICUAS, and his team develops open-source tools for robotics autonomy. Award-winning publications include the IET 2014 Premium Award and multiple best-paper recognitions. His research extends to solar-powered UAVs, thermal-inertial localization, and multi-modal sensor fusion for degraded environments. The Autonomous Robots Lab at NTNU is central to his research activities.

• Robotics
• Resilient Robotic Autonomy
• Robot Control
• +۵ مورد دیگر

Agus Ismail Hasan is a Professor of Cyber-Physical Systems at the Department of ICT and Natural Sciences, Norwegian University of Science and Technology (NTNU), with a focus on Digital Twin , Autonomous Systems , and System Dynamics . His academic journey began with a BSc in Mathematics from Bandung Institute of Technology and a PhD in Control Systems from NTNU. His research spans interdisciplinary domains, integrating Control Theory , Machine Learning , and Industrial Applications to address challenges in autonomous vehicles , renewable energy systems , and public health modeling . Recent publications highlight advancements in Digital Twin fault diagnosis, Secure State Estimation for cyberattacks, and Marine Robotics optimization. Scientific contributions include the ASME Best Paper Award in Mechatronics (2015) and leadership roles in IEEE Technical Committee on Aerial Robotics and IFAC Technical Committee on Distributed Parameter Systems . His work bridges theoretical control systems with real-world implementations in maritime autonomy , wind energy , and epidemiological modeling .

• Cyber-Physical Systems
• System Dynamics
• Digital Twin
• +۳ مورد دیگر

Rudolf Mester is a Professor at NTNU's Department of Computer Science and holds the DNV GL Endowed Professorship. He leads research in intelligent visual sensorics, AI applications for autonomous vehicles (cars, ships, underwater robots), and performance assurance of AI systems. His current projects include SFI Autoship (maritime autonomy), AutoSight (resilient perception), and cAIge (AI-based salmon health monitoring). He teaches the PhD course "Intelligent Agents" and supervises MSc/PhD students in Embodied AI and Aquaculture projects. His research group focuses on environment perception for autonomous marine vehicles, multi-sensor surveillance, reinforcement learning, and AI validation methods.

• Computer Vision
• Autonomous Systems
• Artificial Intelligence
• +۳ مورد دیگر

Konstantinos Alexis is a Professor at the Department of Engineering Cybernetics within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He leads the Autonomous Robots Lab and serves as Principal Investigator for major international projects including the DARPA Subterranean Challenge. His research focuses on developing resilient autonomous systems capable of operating in extreme environments through resourcefulness, robustness, and redundancy. His research interests span resilient robotic autonomy with emphasis on aerial robotics , underwater robotics , robot control , path planning , robot learning , and Simultaneous Localization and Mapping (SLAM) . He takes a holistic approach across these disciplines to enable autonomous systems to navigate challenging environments including subterranean spaces, underwater operations, and extreme terrestrial conditions. Recent work demonstrates significant advances in collision-tolerant navigation, degradation-resilient state estimation, and semantic-aware inspection planning. Professor Alexis has secured substantial funding from diverse sources including US agencies (DARPA, NSF, DOE, USDA), EU Horizon programs, and the Research Council of Norway. His research portfolio includes field deployments in nuclear environments, aquaculture operations, and planetary exploration scenarios. Principal Investigator for DARPA Subterranean Challenge Major grants from NSF, DOE, USDA, and EU Horizon programs Research Council of Norway funding for multiple projects He actively supervises numerous PhD and Master's students, with recent graduates leading publications in top robotics venues. His lab maintains strong collaborations with international research groups and industry partners for real-world deployment of autonomous systems. Current initiatives include the ResiFarm project for underwater operations in fish farms and advanced exploration systems for Martian lava tube environments.

• Resilient Robotic Autonomy
• Aerial Robotics
• Underwater Robotics
• +۶ مورد دیگر

Mihir Vinay Kulkarni is a Researcher at the Department of Technical Cybernetics, Norwegian University of Science and Technology (NTNU), specializing in autonomous aerial systems for complex environments. His work bridges simulation frameworks and real-world deployment in industrial and hazardous settings. His research focuses on: Developing vision-based navigation for cluttered environments Creating parallel simulation tools (Aerial Gym) for accelerated robotics development Implementing deep reinforcement learning for collision avoidance Deploying aerial robots in ship ballast tanks and subterranean spaces Publications since 2022 demonstrate consistent output in top robotics venues, with recent work emphasizing semantic path planning and neural safety frameworks. His research trajectory shows strong alignment with NTNU's field robotics initiatives and international collaborations, particularly with ETH Zurich. As a recent PhD graduate (2025), Kulkarni represents an emerging researcher with significant potential in aerial robotics. Prospective students should note his focus on practical applications and simulation-to-reality transfer, though supervision capacity may be limited during this early career phase.

• Robotics
• Aerial Robotics
• Autonomous Navigation
• +۳ مورد دیگر