جستجوی استاد راهنمای دانشگاهی

Hamid Sarlakمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Turbulence Modeling
• Aerodynamics
• +۱ مورد دیگر

Hamid Sarlak is an Associate Professor at the Department of Wind Energy, Technical University of Denmark (DTU). His research focuses on fluid mechanics, turbulence modeling, aerodynamics, and renewable energy systems. He holds a Ph.D. from DTU (2014), an M.Sc. from Sharif University of Technology (2010), and a B.Sc. from Amirkabir University of Technology (2007). He has conducted research on wind turbine design, solar chimney systems, and offshore wind energy technologies. His work contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13). Key research areas include wake interaction dynamics, floating offshore wind turbines, and thermal energy storage systems. He has led and participated in projects such as DigiWind (2024–2027) and IEA Wind Task 19 and 54 (cold-climate wind energy). His recent articles investigate wake interactions in FOWT rotors, solar chimney performance under crosswind, and wave excitation effects on offshore platforms. His educational contributions include co-authoring sections in DTU’s International Energy Report 2024. He has collaborated extensively with institutions like Johns Hopkins University and contributed to CFD simulations of wind turbine wakes and wave-energy converters. His work emphasizes numerical modeling, experimental validation, and sustainable energy solutions.

Michael Galiliمشاهده پروفایل

دانشیار

• High-Speed Optical Communications
• Silicon Photonics
• Nonlinear Fiber Optics
• +۴ مورد دیگر

Michael Galili is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU). He is affiliated with the High-Speed Optical Communications Centre of Excellence for Silicon Photonics. His research focuses on high-speed optical communication systems, including nanotechnology-based components like optical filters and ultra-fast lasers for data signal processing. He explores novel solutions to handle data rates exceeding 320 Gbit/s using photonics, addressing challenges in signal processing and system design beyond traditional electronic limits. Galili leads the Nano-COM project developing nanotechnology-driven optical communication components. His work integrates advanced photonics with fiber optics, emphasizing optical signal processing, nonlinear effects, and quantum communication systems. He has supervised multiple PhD students in areas such as quantum communication multiplexing, frequency conversion, and mode division multiplexing. His recent publications span topics including all-optical switching via Fano resonance, parametric spectral shaping, and long-haul unrepeated transmission systems. He has received awards such as the Jorcks forskningspris (2021) and AEG Elektronprisen (2023). His lab, part of DTU’s Fotonik research group, collaborates internationally on projects like photonic lanterns and silicon carbide-based Kerr combs for ultra-high-speed data transmission.

• Machine Learning
• Quantum Computing
• Computational Biology
• +۲ مورد دیگر

Lasse Bjørn Kristensen is a Research Fellow at the Department of Computer Science, University of Copenhagen, specializing in Machine Learning with a focus on quantum computing applications. Research Interests His work bridges quantum computing, machine learning, and computational biology, with contributions to: Quantum neural networks and spiking neurons Quantum error correction and circuit robustness Quantum chemistry simulations Information flow in parametrized quantum systems Notable Research Trends Kristensen's publications reveal a strong emphasis on quantum-classical hybrid models, entanglement-enhanced devices, and computational methods for chemistry and physics. His recent work explores error-driven learning paradigms and quantum eigensolvers. Contact Email: lakr@di.ku.dk Address: Universitetsparken 1, 2100 Copenhagen Ø

Darko Zibarمشاهده پروفایل

استاد

• Machine Learning in Photonic Systems
• Optical Communication
• Quantum Communication
• +۳ مورد دیگر

Darko Zibar is a Professor at the Department of Electrical and Photonics Engineering, Technical University of Denmark (DTU), and leads the Machine Learning in Photonics Systems (MLiPS) group. He holds a M.Sc. in Telecommunication and a Ph.D. in Optical Communications from DTU (2004, 2007). As a Visiting Professor, he has contributed to research at Politecnico di Torino, Friedrich Alexander University of Erlangen, University of California Santa Barbara, and University of Colorado, Boulder. Research Interests: Machine learning applications in optical communication systems Digital signal processing for classical and quantum photonics Optimization of Raman amplifiers and frequency combs Nonlinear fiber optic transmission modeling Photonic reservoir computing with silicon microring resonators Scientific Contributions: His work includes record-breaking achievements in optical phase noise measurement (approaching quantum limits) and programmable gain Raman amplifier design (S+C+L band). He has received prestigious awards such as the ERC Consolidator Grant (2017), Humboldt Bessel Research Award (2021), and Villum Investigator Award (2023).

Jon Juel Thomsenمشاهده پروفایل

دانشیار

• Dynamics and Vibrations
• Mechanical Engineering
• Nonlinear Systems
• +۳ مورد دیگر

Jon Juel Thomsen is an Associate Professor at the Technical University of Denmark (DTU), Department of Civil and Mechanical Engineering, specializing in Solid Mechanics. His research focuses on theoretical and experimental analysis of mechanical vibrations, particularly nonlinear phenomena and high-frequency effects. He leads projects on fast vibrations and dry friction, short-term damping estimation for wind turbines, and vibration-based bolt tension estimation. He advises PhD students including J. D. Richardt, K. L. Ebbehøj, and M. T. Steffensen. His work integrates experimental modal analysis, structural dynamics, and nonlinear systems. Notable contributions include methods for damping estimation in nonstationary systems, uncertainty quantification in modal parameters, and vibration-based assessment of bolted joints. Projects like the Vibrations for Estimating Bolted Joint Integrity (VEBJI) highlight his applied engineering focus. His research spans theoretical developments and industrial applications in mechanical systems and renewable energy. Key collaborations include work on piezoelectric excitation for bolt tension measurement and high-frequency excitation effects in metamaterials. His lab develops novel techniques for structural health monitoring and vibration control, leveraging both experimental and computational methods.

Morten Bilde Simonsenمشاهده پروفایل

استادیار

• Biomechanics
• Osteoarthritis
• Gait Analysis
• +۷ مورد دیگر

Morten Bilde Simonsen is an Assistant Professor at Aalborg University in the Department of Materials and Production, affiliated with the Section of Applied Systems Research and Biomechanics within the Faculty of Engineering and Science. His research focuses on biomechanics, musculoskeletal disorders, and the application of advanced technologies for clinical assessment and intervention. He holds a PhD awarded in April 2021. His work integrates biomechanical modeling, gait analysis, and proteomics to address conditions like knee osteoarthritis, rheumatoid arthritis, and pediatric obesity. A key project is the MathKOA initiative (2022–2027), a Novo Nordisk Foundation-funded effort developing predictive models for knee osteoarthritis. Research interests include gait mechanics, HIIT in youth obesity, and the biomechanical impact of interventions like foot orthoses. He has received awards such as the 2022 Best Presentation at the Regions Hospital Northern Jutland Symposium and the 2018 Danish Society of Biomechanics Student Award. His grants include leadership roles in multi-disciplinary projects combining clinical and engineering approaches. Collaborations span musculoskeletal modeling, sensor technology validation, and translational research in chronic pain and joint dysfunction. He is actively involved in lab-based studies on gait kinematics, biomarker identification, and exercise intervention efficacy.

Yushuai Liمشاهده پروفایل

استادیار

• Digital Twin
• Energy Internet
• Reinforcement Learning
• +۷ مورد دیگر

Yushuai Li is an Assistant Professor in the Department of Computer Science at Aalborg University. His research focuses on digital twin technologies, energy internet systems, distributed optimization, and cyber-physical security for energy networks. Institution: Aalborg University, Denmark Academic Rank: Assistant Professor Email: yushuaili@ieee.org, yusli@cs.aau.dk Research Interests: Li's work bridges artificial intelligence with energy systems, emphasizing: Digital Twin for Energy and Transportation Integration Reinforcement Learning in Power Trading Distributed Control for Microgrids Privacy-Preserving Energy Dispatch Autonomous Driving-Energy System Coupling Scientific Contributions: His recent publications address critical challenges in energy internet resilience, including: Distributed control under stealthy attacks Noise-resilient microgrid operations Multi-timescale optimization algorithms Event-triggered control strategies Secure peer-to-peer energy trading Honors & Awards: Recipient of multiple prestigious awards, including: Best Paper Awards (MPCE, ICCSIE, IEEE EI2) Excellent Young Expert Award (MPCE, 2023) National Natural Science Prizes (CAA 2022-2023) Highly Cited Papers (8 ESI Highly Cited, 2 ESI Hot Papers) H-index 24 with 2500+ Google Scholar Citations Academic Leadership: Serves as Associate Editor for four IEEE journals and chairs sessions at leading conferences like IEEE SmartGridComm, ISIE, and IEEE EI2. His 70+ publications span top venues including IEEE Transactions on Cybernetics, Smart Grid, and ACM SIGMOD.

Shahab Heshmati-Alamdariمشاهده پروفایل

دانشیار

• Robotics
• Autonomous Systems
• Control Systems
• +۵ مورد دیگر

Shahab Heshmati-Alamdari is an Associate Professor in Robotics at Aalborg University's Department of Electronic Systems. His work focuses on robust control, autonomous systems, and underwater robotics. He holds a PhD from NTUA (2018) and held postdoctoral positions at TU Munich (2020) and KTH Royal Institute of Technology (2019–2020). His research emphasizes constrained planning, cooperative control, and human-robot interaction. Education: MEng (Mechanical Engineering), MSc (Automatic Control Systems & Robotics), PhD (Mechanical Engineering), all from NTUA. Research Interests: Constrained navigation, robust control in uncertain environments, cooperative robotics, and underwater vehicle systems. Awards: Marie Sklodowska-Curie Fellowship, ERCIM Postdoctoral Fellowship, Thomaidion Awards. His lab, the Safe Autonomous Systems Lab, develops advanced planning and control systems for single/multi-robot systems. Key platforms include the MuR250 mobile manipulator, Boston Dynamics Spot, and custom ballbots like Kugle. He teaches courses in motion planning and robot navigation at Aalborg University. Recent work includes control barrier functions for UAV navigation, robust predictive control for underwater vehicles, and cooperative manipulation systems. His projects address marine debris cleanup (SeaClear EU project) and safe human-robot interaction.

Anders Clausenمشاهده پروفایل

دانشیار

• Optical Communications
• Photonics Engineering
• High-Speed Data Transmission
• +۳ مورد دیگر

Anders Clausen is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU). He is affiliated with the High-Speed Optical Communications Centre of Excellence for Silicon Photonics and contributes to UN Sustainable Development Goals through his research. His work focuses on nonlinear signal processing in optical communications, including fiber optics, dispersion management, and high-speed transmission systems. Research Interests: Nonlinear Pre-Compensation in Optical Systems Optical Phase Conjugation Techniques Dispersion Mapping and Management Fiber Optic Amplification (EDFA) All-Optical Signal Processing Recent publications emphasize innovations in nonlinear compensation for long-haul systems, leveraging phase conjugation and advanced dispersion mapping. His work addresses challenges in ultra-high-speed data transmission and sustainability in ICT infrastructure. Advising and Grants: Supervisor for PhD projects on environmental sustainability in ICT (Gudmundsdottir) and machine learning in optical sensing (Djurhuus) Participant in major projects like OTDM systems and optical time lenses Labs/Teams: Active in the High-Speed Optical Communications Centre, focusing on silicon photonics and optical signal processing advancements.

Jens Juul Rasmussenمشاهده پروفایل

استاد

• Plasma Physics
• Non-linear dynamics
• Fluid Dynamics
• +۷ مورد دیگر

Jens Juul Rasmussen is a Professor in the Department of Physics at the Technical University of Denmark (DTU), where he conducts research in plasma physics, nonlinear dynamics, and fluid dynamics. His work is central to understanding turbulence, coherent structures, and transport in magnetically confined fusion plasmas. He is actively involved in international collaborations such as JET and ASDEX Upgrade, contributing to key advancements in fusion energy science. Department of Physics, DTU Research in Plasma and Nonlinear Physics Supervisor of multiple PhD projects Active contributor to EU fusion programs His research interests span plasma turbulence, solitons, vortices, L-H transitions, and transport phenomena in fusion devices. He applies dynamical systems theory and numerical modeling to understand the complex behavior of plasma edge and core regions. His work bridges theoretical physics with practical fusion reactor design challenges. The recent publications highlight a strong focus on turbulence modeling, wave interactions, isotope effects in fusion plasmas, and diagnostic development. Trends show sustained contributions to understanding transport barriers, fast-ion dynamics, and filamentary structures in the scrape-off layer. His work integrates fractional kinetics, collective scattering, and global modeling approaches. Jens Juul Rasmussen has supervised numerous PhD students, including Jens M. B. Olsen, Andreas S. Thrysøe, Mikkel Dam, and others, in projects related to coherent structures, L-H transitions, and blob dynamics. He has participated in major fusion research initiatives and served on scientific committees. Though no specific awards are listed, his extensive publication record and leadership roles indicate high recognition in the field. He has been involved in projects such as 'Studies of Coherent Structures in Magnetically Confined Plasmas' and 'Global Modelling of Turbulence and Transport,' often collaborating with leading institutions in Europe. His activities include invited talks at the EU-US Transport Task Force and workshops on wave-flow interactions, demonstrating his active engagement in the scientific community.

Yajuan Guanمشاهده پروفایل

دانشیار

• Power Electronics
• Microgrids
• Renewable Energy Integration
• +۴ مورد دیگر

Yajuan Guan is an Associate Professor at Aalborg University's Faculty of Engineering and Science, specializing in Electric Power Systems and Microgrids. Her research focuses on advanced control strategies for renewable energy systems and grid-forming inverters. Education: PhD in Electrical Engineering (2016), Aalborg University, thesis: "Novel Control Strategies for Parallel-Connected Inverters in AC Microgrids" Research Interests: Microgrid stability and control Grid-forming wind power plants Smart grid technologies Renewable energy integration Power quality improvement Cyber-physical energy systems Article Trends: Recent publications emphasize large-scale wind power plant dynamics, fractional-order control for grid-forming converters, resilience in microgrid systems under climate crises, and thermal optimization for energy storage. Professional Activities: Conference speaker at Mission Innovation - Green Energy Community Webinar (2021) Chair of IEEE ECCE ASIA 2020 Special Session Editorial work for "IoT and Energy Internet" special issue (2018-2019)

• Condensed Matter Physics
• Quantum Physics
• Superconductivity
• +۳ مورد دیگر

Christine Wei Andersson is a Lecturer at the Niels Bohr Institute , University of Copenhagen, specializing in Condensed Matter Physics . She is affiliated with the Experimental Particle Physics and Quantum Optics research groups. Her research focuses on superconducting quantum devices, particularly Josephson junction circuits. Recent work includes Voltage-Controlled Synthesis of Higher Harmonics (2024) and Hybrid Josephson Rhombus (2025), both published in prestigious journals. Her publications highlight interdisciplinary themes at the intersection of Quantum Physics , Superconductivity , and Nanotechnology . Key subfields include superconducting circuits, nonlinear electronics, and quantum device engineering.

Zhenyu Yangمشاهده پروفایل

دانشیار

• Control Theory
• Mathematical Modelling
• Fault Detection and Diagnosis
• +۷ مورد دیگر

Zhenyu Yang is an Associate Professor at Aalborg University's Department of Energy within The Faculty of Engineering and Science. He specializes in control theory, AI-driven automation, and industrial process control, with a focus on offshore energy and water treatment systems. He leads the Offshore Process Control and Cybernetics Research Group and chairs the Mission for Sustainable Fuels, Chemicals, and PtX. His work aligns with UN Sustainable Development Goals related to clean energy and environmental protection. Education: B.Sc., M.Sc., and Ph.D. in Control Theory from Shandong University and Beijing University of Aeronautics and Astronautics. Postdoctoral training at Delft University of Technology and Aalborg University. Completed pedagogic education for assistant professors and interdisciplinary leadership training. Research interests include fault-tolerant control systems, hybrid dynamical systems, AI for process automation, and water treatment technologies. He has supervised 6 PhD students, including M. Kashani. Notable awards include Teacher of the Year 2012 and ABB Best Application Award Finalist 2009. Key projects involve high-temperature heat pumps, offshore produced water treatment automation, and microplastics capture using hydrocyclones. He has authored 198 publications and actively participates in academic committees and international conferences. Collaborations span institutions globally, emphasizing sustainable energy solutions and advanced control systems.

John-Josef Lethمشاهده پروفایل

دانشیار

• Electronics
• Mathematical Control Theory
• Hybrid Dynamical Systems
• +۲ مورد دیگر

John-Josef Leth is an Associate Professor at the Department of Electronic Systems, Aalborg University, within The Technical Faculty of IT and Design. His research focuses on nonlinear and optimal control, hybrid dynamical systems, and mathematical control theory. His work spans applications in energy systems (wind turbines, smart grids), biomedical control (type 2 diabetes treatment), and signal processing (digital-to-analog converters). He leads and contributes to interdisciplinary projects such as ADAPT-T2D and EDGE (Efficient Distribution of Green Energy). Recent publications emphasize optimal control strategies for high-dynamic environments stochastic state-space modeling with probabilistic priors sensor scheduling for Kalman filtering noise-shaping quantization techniques data-driven optimization in diabetes treatment systems He is affiliated with the Nonlinear and Optimal Control Lab and has supervised 6 PhD students. His research integrates control theory with real-world challenges in energy and healthcare.

Thomas Parisiniمشاهده پروفایل

استاد

• Cybersecurity
• Control Systems
• Signal Processing
• +۳ مورد دیگر

Thomas Parisini is a Professor at Aalborg University's Department of Electronic Systems, part of The Technical Faculty of IT and Design. He is affiliated with the Green Lab and can be reached at thomasparisini@es.aau.dk. His research focuses on advanced control systems, cybersecurity, and signal processing, with particular emphasis on topics like passivity theory, networked systems, and wireless power transfer. Research interests include cyber-physical systems, distributed optimization, and privacy-preserving control mechanisms. His recent work explores decision-dependent distributions, redundancy in linear systems, and harmonic-based monitoring techniques for power electronics. Parisini's publications (2024-2025) demonstrate contributions to control theory and robotics, including methods for leader-following consensus in multi-agent systems and geometric approaches to system redundancy. He collaborates with institutions globally, evidenced by co-authorships across Europe and Asia.