جست‌وجوی استاد و پژوهشگر

• Digitalization
• Control Systems
• Optimization Algorithms
• +۴ مورد دیگر

Guoyuan Li is a Professor at the Department of Ocean Operations and Civil Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU), Ålesund Campus. His work bridges digitalization , artificial intelligence , and maritime engineering , focusing on ship maneuvering, robotics, and human-machine interaction. Ph.D. in Computer Science, University of Hamburg (2013) M.S. & B.S. in Computer Science, Chongqing University (2009 & 2006) Research Interests: Digital twin systems for ships, adaptive locomotion control in bio-inspired robotics, trajectory prediction for marine vessels, and human visual attention analysis in maritime operations. He integrates machine learning and physics-based models to enhance safety and efficiency in marine environments. Publications highlight trends in ship motion prediction , collision avoidance , and environmental disturbance modeling , with applications in digital twin technology and remote control centers . His work spans IEEE and Springer journals. Awards include multiple Best Paper Awards at IEEE conferences (2024-2014). He serves as Associate Editor for IEEE Journal of Oceanic Engineering and IEEE Transactions on Intelligent Transportation Systems . Projects include EU’s RoboSapiens (robot adaptation), Digital Twin for Green Ship Operations (Norway), and AuReCo (remote control systems). He collaborates with the Intelligent Systems Lab at NTNU.

• Process Optimization
• Model Predictive Control
• Process Systems Engineering
• +۳ مورد دیگر

Johannes Jäschke is Professor of Chemical Engineering at the Norwegian University of Science and Technology (NTNU), where he heads the Process Systems Engineering group. His research develops methods for operating industrial processes safely and economically using optimization and control theory. Research focuses on optimization-driven methods for process operation, real-time optimization, predictive control, and quantitative data methods for industrial applications. Jäschke leads multiple research projects including SensPATH for economic model predictive control and AutoPRO for autonomous production optimization in offshore systems. Honors: Member of Outstanding Academic Fellows Program at NTNU (2014-2018) His teaching covers process optimization and control strategies, and he serves on departmental committees while advising graduate students in process systems engineering.

• Geophysics
• Porous Media Dynamics
• Fracture Network Analysis
• +۴ مورد دیگر

Joachim Mathiesen is a Professor at the NJORD Center for the Study of Earth Physics within the Department of Physics, University of Oslo. His research spans geophysics, porous media dynamics, and nonlinear fluid systems. Key collaborations include Gaute Linga, Francois Renard, and Tanguy Le Borgne. His work focuses on fracture network analysis , turbulent flow in rough channels , and electrohydrodynamic phenomena . He investigates fluid-rock interactions, solute dispersion in multiphase systems, and stress-driven phase transformations. 2024-2023 : Deep-learning analysis of rock fractures, 4D neutron imaging of sandstone transport, chaotic signatures in porous media flows 2018-2020 : Wetting control with electrolytes, electrohydrodynamic channeling effects, dynamic fluid connectivity in porous media Mathiesen applies computational modeling to geological systems, including Martian araneiform formation, rock compaction, and communication networks. His numerical schemes address energy-stable simulations of complex fluid properties.

• Thermoacoustics
• Combustion Dynamics
• Fluid Mechanics
• +۲ مورد دیگر

Jonas Moeck is a Professor in the Department of Energy and Process Engineering at the Norwegian University of Science and Technology (NTNU), with his office located at Strømningsteknisk, 109, Gløshaugen. His research centers on the critical intersection of flame dynamics and acoustics in combustion systems, specifically addressing thermoacoustic instabilities in gas turbine engines. Professor Moeck's research interests encompass thermoacoustics, combustion dynamics, fluid mechanics, and energy engineering, with recent emphasis on alternative fuels like hydrogen and ammonia. His work investigates flame stability mechanisms, sound generation in combustion processes, and predictive modeling of instabilities using theoretical, numerical, and experimental approaches. Key focus areas include intrinsic thermoacoustic modes, flame transfer functions, and can-annular combustor dynamics, contributing to safer and more efficient energy conversion systems. His publication record demonstrates consistent high-impact output, with 15+ recent articles in journals like Combustion and Flame and Journal of Fluid Mechanics . Current research trends (2023-2025) reveal deep exploration of ammonia-hydrogen flame stability, reduced-order modeling techniques, and symmetry-breaking phenomena in annular systems, often through international collaborations with institutions in Germany and France. At NTNU, Moeck teaches advanced thermo-fluid dynamics courses including TEP4926 (Master's Thesis), TEP4541 (Specialisation Project), EP8413 (Directed Study), TEP4546 (Specialization Course), EP8000 (Data Analysis), and TEP4160 (Aerodynamics), training next-generation engineers in combustion and fluid dynamics principles.

Maben Rabiمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Networked Control
• Hybrid Systems
• +۵ مورد دیگر

Maben Rabi is a Professor at the Department of Information Technology and Communication, University of Southeast Norway. His work focuses on cyber-physical systems, networked control, and hybrid systems with applications in intelligent transportation and robotics. Current projects: CriSp (Research Council) and SafeSmart (KK Foundation). Research keywords: Cyber-Physical Systems, Networked Control, Hybrid Systems, Digital Society, DigiTech. Research Trends : His recent publications emphasize road friction estimation for autonomous vehicles, nonlinear control in relay feedback systems, probabilistic sampling for networked estimation, and packet loss modeling in vehicular networks. These works bridge control theory, cyber-physical systems, and transportation safety. Teaching : Courses include Technology Project (ITD25018) and Digital Control and Cyber-Physical Systems (ITD30019) .

• Nonlinear Model Predictive Control
• Offshore Drilling Automation
• Power Systems Control
• +۳ مورد دیگر

Lars Struen Imsland is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU) since 2009. He holds a PhD and MSc in Engineering Cybernetics from NTNU, with research focusing on nonlinear model predictive control, offshore drilling automation, and power systems. His career includes roles at Cybernetica AS, SINTEF ICT, and NTNU as a PostDoc and doctoral student. Research interests span control systems engineering, CO2 capture technology, and estimation in automotive applications. He chairs committees for international conferences like DYCOPS-CAB and ACOOG, and serves as Associate Editor for IEEE Transactions on Control Systems Technology. Key achievements include the Arch T. Colwell Merit Award (2008) and Automatica Outstanding Reviewer recognition (2004). He has advised over 10 PhD committees and contributed to pioneering work in MPC for wind farms, hybrid energy systems, and oil well modeling. Publications emphasize interdisciplinary applications of control theory, with recent focus on Bayesian optimization for wind farms, physics-informed neural networks for oil well monitoring, and stochastic MPC for renewable energy integration.

• Digital Twin Technology
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Adil Rasheed is a Professor in the Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU), within the Faculty of Information Technology and Electrical Engineering. His research focuses on digital twin technology, artificial intelligence (AI), machine learning (ML), physics-based modeling, and hybrid analysis methodologies. He leads projects such as the work package on Digital Twin and Asset Management, collaborating with major industry partners to advance digital twin capabilities. His interdisciplinary work bridges AI-driven approaches with traditional physics-based models for applications in wind energy, autonomous vessels, smart greenhouses, and aquaculture. Notable contributions include developing a VR-enabled smart greenhouse digital twin and the PoroTwin framework for porous media flow analysis. His recent publications span topics like safe marine navigation using reinforcement learning, federated learning for industrial IoT anomaly detection, and predictive maintenance in offshore wind turbines. Rasheed actively engages in academic outreach and serves as an advisor to research initiatives in hybrid modeling and autonomous systems. Research Interests Creation and application of digital twins for physical systems optimization Integration of AI/ML with physics-based models for hybrid systems Autonomous systems navigation and safety (vessels, drones) Wind energy systems and offshore renewable energy Condition monitoring and predictive maintenance Data-driven solutions for aquaculture and urban mobility challenges Key Projects Smart Greenhouse: AI-driven digital twin for autonomous plant growth monitoring via VR PoroTwin: Digital twin for porous media flow analysis in oil and gas Hybrid Analysis and Modeling (HAM) framework combining knowledge-based and data-driven methods NorthWind Project: Digital twin advancements for wind energy systems Publications Trends Rasheed's recent work emphasizes digital twin applications in energy systems (wind turbines), autonomous maritime navigation, and industrial IoT security. He explores federated learning techniques for decentralized anomaly detection and integrates reinforcement learning for safety-critical control systems. Collaborations with industry partners highlight practical implementations in offshore infrastructure, aquaculture, and urban mobility. Grants & Partnerships Active collaborations with industry leaders in renewable energy, maritime robotics, and smart agriculture ensure his research addresses real-world challenges. His work is supported by interdisciplinary projects combining academia-industry expertise. Labs & Teams Leads the Digital Twin and Asset Management team at NTNU, coordinating with research groups in computational engineering, autonomous systems, and renewable energy technology.

• Control Systems
• Mechanical Engineering
• Offshore Engineering
• +۵ مورد دیگر

Christian Holden is an Associate Professor at the Department of Mechanical Engineering and Manufacturing, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on control systems, mechanical engineering, and offshore engineering with applications in robotics, fluid dynamics, and marine systems. He holds a PhD in Modeling and Control of Parametric Roll Resonance (2011). Key research areas include adaptive control systems, drill-string dynamics, riser-tensioner systems, and hydrocyclone optimization. His work combines theoretical modeling with practical applications in offshore operations, robotics, and energy systems. Collaborations with industry and academia have yielded solutions for challenges in subsea engineering, drilling dynamics, and automation. Publications emphasize advanced control methodologies, simulation frameworks, and experimental validation. His recent work explores AI-driven trajectory planning for robotics and control-oriented models for industrial separation processes. Holden's contributions bridge mechanical engineering principles with cutting-edge control theory for real-world engineering systems.

Raquel Barreiraمشاهده پروفایل

دانشیار

• Applied Mathematics
• Data Science
• Mathematical Biology
• +۵ مورد دیگر

Raquel Barreira is an Associate Professor at the School of Technology of Setúbal , Polytechnic Institute of Setúbal , and a Researcher at the Center for Mathematical Studies , University of Lisbon . She holds a PhD in Mathematics (2009) from the University of Sussex , a Master's in Functional Analysis and Differential Equations (2004), and a BSc in Mathematics (2000), both from the University of Lisbon . Her research interests span Applied Mathematics and Data Science , with a focus on: Reaction-diffusion and cross-diffusion systems for pattern formation and biological modeling Mathematical biology in predator-prey dynamics and agricultural ecosystems Time series analysis for water demand forecasting and urban water management Computational finance and risk modeling for banking systems The 15 most recent publications reflect her expertise in cross-diffusion dynamics, water infrastructure analytics, and bioinformatics applications. These works appear in journals like International Journal of Bifurcation and Chaos , Scientific Reports , and Water Resources Research . Her projects E³UDRES² and OLIVESIM highlight collaborations in European smart regions and olive grove ecosystem services. She has supervised numerous Bioinformatics and Civil Engineering students and received three innovation awards , including two regional first prizes and one national third prize in the Poliempreende business project competition.

• Mathematical Modeling
• Systems Biology
• Biomedical Engineering
• +۳ مورد دیگر

Laura Lema Perez is a Postdoctoral Fellow at the Department of Technical Cybernetics, Norwegian University of Science and Technology (NTNU). Her research focuses on mathematical modeling and systems biology applied to biotechnological processes and diabetes management. Research Interests: Laura specializes in developing phenomenological-based models for metabolic systems, particularly glucose dynamics and insulin action. Her work addresses model interpretability, sensitivity analysis, and control systems for artificial pancreas technologies, bridging biomedical engineering and computational physiology. Publications Trends: Her recent articles (2022-2024) span journals like Ecological Modelling , PLOS ONE , and Computers in Biology and Medicine , alongside IEEE and IFAC conference proceedings. Topics include meal onset detection, glycemic trend prediction, and nonlinear control systems. Dissemination: She has presented posters and oral presentations at international conferences such as ATTD (Advanced Technologies & Treatments for Diabetes) and EMBC (IEEE Engineering in Medicine & Biology Society), often collaborating with multidisciplinary teams.

• Control Systems
• Robotics
• Marine Engineering
• +۳ مورد دیگر

Erlend Andreas Basso is a Postdoctoral Researcher in the Department of Engineering Cybernetics at NTNU, affiliated with the Faculty of Information Technology and Electrical Engineering. His research focuses on control systems, robotics, and marine engineering, with an emphasis on autonomous systems, guidance algorithms, and safety-critical control strategies. His work spans topics such as line-of-sight guidance for marine vehicles, adaptive hybrid feedback control, and robust hierarchical tracking for vehicle-manipulator systems. He has contributed to advancements in Kalman filtering for inertial navigation, obstacle avoidance in confined waters, and impedance control for compliant robot interactions. Basso’s publications reflect a strong focus on theoretical and practical aspects of control theory, including applications to underwater robotics, multirotor systems, and safety-aware navigation. His research often integrates machine learning and experimental validation, as seen in full-scale ship collision avoidance studies.

• Combustion Dynamics
• Thermoacoustic Instabilities
• Multiphase Flow
• +۳ مورد دیگر

Eirik Æsøy is a Research Fellow at the Department of Energy and Process Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on combustion dynamics, flow dynamics and control, and free surface/multiphase flows. He holds a doctoral degree from NTNU (2022) and has extensive experience in experimental and computational fluid dynamics. Research interests include interactions between flow, acoustics, and flames, mitigation of thermoacoustic instabilities in hydrogen-fueled combustors, and multiphase flow characterization. He has collaborated with international researchers on projects involving flame transfer functions, vortex lock-in phenomena, and hydrogen combustion effects. Publications span topics like slug flow analysis, convective-acoustic interference mechanisms, and combustion stability under hydrogen enrichment. His work bridges theoretical models with practical applications in energy systems and fluid mechanics. Notable contributions include developing methods to determine near-surface currents from wave dispersion measurements and pioneering studies on hydrogen's impact on flame dynamics. His research aligns with global efforts to enhance renewable energy integration and sustainable combustion technologies.

Arnfinn Aas Eielsenمشاهده پروفایل

دانشیار

• Control Systems
• Mechatronics
• Signal Processing
• +۲ مورد دیگر

Arnfinn Aas Eielsen is an Associate Professor in Electrical Engineering at the University of Stavanger, Faculty of Science and Technology, Department of Energy and Petroleum Technology. His research focuses on control systems and signal processing in precision mechatronics, particularly digital-to-analog converters (DACs), nanopositioning devices, and piezoelectric actuators. Key research areas include: Glitch mitigation in DACs using dithering and model predictive control Thermal protection for piezoelectric actuators Nonlinear damping and robust repetitive control for nanopositioning State and parameter estimation for precision systems Low-noise transimpedance amplifier design Recent publications (2023-2025) emphasize error compensation in DACs, thermal modeling, and advanced control strategies for nanoscale positioning. His work often involves collaborations with researchers in Australia and Norway, with applications in atomic force microscopy and industrial precision engineering. Current affiliations: University of Stavanger Faculty of Science and Technology Department of Energy and Petroleum Technology

• Process Control
• Real-Time Optimization
• Model Predictive Control
• +۳ مورد دیگر

Dinesh Krishnamoorthy Kallur is an Associate Professor at the Department of Engineering Cybernetics , Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. His research focuses on process control , real-time optimization , model predictive control , and oil and gas production optimization . Research Trends : Distributed control systems, feedback-optimizing algorithms, resource allocation, and constraint handling in industrial processes. Key Applications : Gas-lifted oil wells, industrial symbiotic networks, subsea production systems, and biomedical dose guidance. Technical Contributions : Primal-dual control, scenario-tree adaptation, transient measurement utilization, and robustness analysis in control systems.

• Cyber-Physical Systems
• System Dynamics
• Digital Twin
• +۳ 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 .