جستجوی استاد راهنمای دانشگاهی

Prithvi Ravi Kantanمشاهده پروفایل

پژوهشگر

• Rehabilitation Technology
• Biofeedback Systems
• Sound Processing
• +۶ مورد دیگر

Prithvi Ravi Kantan is a full-time Researcher at Aalborg University's Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design. His work focuses on developing sound-based and multimodal feedback systems for motor rehabilitation, integrating principles from music technology and biomedical engineering. Education: PhD in Embodied Sonification Design (2021-2023) M.Sc. in Sound and Music Computing (2018-2020) B.E. in Electronics and Telecommunications (2009-2013) Research interests include real-time auditory feedback systems for neurological rehabilitation, user-centered design of clinical technologies, and the application of generative music in data sonification. He actively contributes to projects like HearWalk (2023-2027), exploring sound-facilitated motor learning in cerebral palsy patients. Notable achievements include winning the Danish Sound Day Research Pitch Battle (2023) and receiving the Best Student Paper Award at ICAD 2024. His work aligns with UN SDG 3 (Good Health) and SDG 4 (Quality Education). Teaching responsibilities include coordinating bachelor and master-level courses in PBL-based learning, emphasizing interdisciplinary approaches. He has supervised multiple student projects and contributed to over 39 publications since 2013.

Yanbo Wangمشاهده پروفایل

دانشیار

• Power Systems
• Renewable Energy
• Microgrid Control
• +۵ مورد دیگر

Yanbo Wang is an Associate Professor and Vice Head of the Wind Power Research Programme at AAU Energy, part of Aalborg University's Faculty of Engineering and Science. He leads research in Electric Power Systems and Microgrids, focusing on intelligent energy systems and flexible markets. His work emphasizes stability analysis, control strategies for hybrid AC/DC systems, and renewable energy integration. He supervises multiple PhD projects on topics like multi-port energy routers and wind power converter optimization. Research interests include power electronics, microgrid stability, and energy storage systems. Key projects include the EU-funded 'S3SF: Smart Energy Solutions for Sustainable Future' and machine learning-based control strategies for multi-energy systems. He has authored over 176 publications, with recent work on DC microgrid reliability, converter design, and offshore wind energy systems. His team collaborates internationally to advance grid-friendly technologies and smart energy solutions. Notable contributions include advanced control schemes for retired batteries in DC microgrids and stability assessment methodologies for offshore wind inverters. He advises on six PhD projects and maintains a lab focused on renewable energy systems and power electronics innovation.

Pooya Davariمشاهده پروفایل

استاد

• Harmonic and EMI analysis and mitigation in grid-tied converters
• Electromagnetic interference and compatibility
• High power density power electronic systems
• +۲ مورد دیگر

Pooya Davari is a Professor and Head of the Section for Applied Power Electronic Systems at Aalborg University , Denmark. He leads the EMI/EMC in Power Electronics Research Group and serves as Vice Chair of the Energy Efficiency Mission. His research focuses on electromagnetic interference (EMI) and harmonic mitigation in power electronic systems, with over 200 publications and significant contributions to renewable energy integration. Education: B.Sc. and M.Sc. in Electronic Engineering (2004, 2008), Ph.D. in Power Electronics from Queensland University of Technology (2013) Prior Roles: Lecturer at QUT (2013–2014), Postdoc at AAU (2014) Research Interests: Harmonic and EMI analysis in grid-tied converters High power density converter design Signal processing for converter modeling Reliability of power electronic systems Article Trends: Recent work emphasizes EMI/EMC in renewable energy systems, wide bandgap semiconductors (SiC/GaN), and reliability modeling for EVs and hydrogen production via electrolysis. Sub-fields include converter topologies, grid integration challenges, and AI-driven diagnostics. Scientific Awards: Equinor 2022 Prize (Denmark’s oldest engineering award) IEEE EMC Society Young Professional Award (2020) World’s Top 2% Highly Cited Scientist (Stanford, 2021–2025) Multiple best paper awards (IEEE, Applied Sciences, etc.) Grants & Editorial Roles: Recipient of grants from Innovation Fund Denmark (Supra-EMC project), Horizon Europe (SOLARIS), and industry partnerships. Serves as Area Editor for IEEE Transactions on Transportation Electrification , Associate Editor for IEEE Transactions on Power Electronics , and Editor-in-Chief of Circuit World Journal (2020–2025). Labs & Standards: Coordinator of the EMC Laboratory at Aalborg University. Member of IEC standardization Working Groups 6 and 8 (TC77A), focusing on EMC strategies for power grids.

• Power Electronics
• Renewable Energy Systems
• Motor Drives
• +۳ مورد دیگر

Dr. Ramkrishan Maheshwari is an Associate Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark, specializing in power electronics and motor drive systems. His research focuses on advanced power converter topologies, wide bandgap semiconductors, and renewable energy integration. University: University of Southern Denmark Rank: Associate Professor Research: Power Converters, PWM Techniques, Wide Bandgap Devices Recent work involves small DC-link capacitors, machine learning-based component selection, and hydrogen production systems. His Google Scholar articles highlight innovations in converter design and control algorithms. Awards include the BHJ Foundation Teaching Prize (2023) and a Best Paper Award (ICPEE 2021). He supervises PhD students like M. A. Khan and R. K. Mahapatra and leads projects such as 'Efficient Cost Saving Grid Friendly PtX Converter' funded by Mads Clausens Fond.

Mostafa Mohammadiمشاهده پروفایل

استادیار

• Neurorehabilitation Robotics
• Human-Computer Interaction
• Telerehabilitation Technologies
• +۵ مورد دیگر

Mostafa Mohammadi is an Assistant Professor at the Department of Health Science and Technology, Aalborg University, affiliated with the Faculty of Medicine and Center for Rehabilitation Robotics. His research focuses on neurorehabilitation robotics, human-computer interaction, and telerehabilitation technologies for individuals with disabilities. Ph.D. in Biomedical Engineering (Aalborg University, 2018-2022) M.Sc. in Biomedical Engineering (Polytechnic University of Milan, 2015-2017) B.Sc. in Mechanical Engineering (Sharif University of Technology, 2011-2015) His work spans exoskeleton design, assistive robotics, and innovative interfaces like tongue-computer interfacing. Recent projects include the eMotivo digital health solution funded by Innovation Fund Denmark and intelligent tendon-driven exoskeletons for severe disabilities. Research outputs (33 total) emphasize adaptive robotics, motor impairment solutions, and wearable technologies. Collaborations span robotics, biomedical engineering, and clinical disciplines. Teaching includes courses in rehabilitation robotics, human-computer interaction, and digital systems for biomedical engineering. Scientific activities align with UN Sustainable Development Goals for quality education and reduced inequalities. Notable contributions include advancements in myoelectric interfaces and neurorehabilitation technologies.

Tina Paulsen Christensenمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Translation Studies
• Educational Technology
• +۳ مورد دیگر

Tina Paulsen Christensen is an Associate Professor at Aarhus University's School of Communication and Culture. Her research focuses on AI-driven technologies in education and society, particularly exploring interactions between humans, machines, and languages. She specializes in areas such as generative AI, machine translation literacy, and digital text generation. Her educational background includes expertise in German Business Communication and advanced studies in language technology applications. Key projects include AI-literacy i sproguddannelserne (2025-2027) addressing language education in the AI era, and Generative AI-værktøjer i fremmedsproglig tekstproduktion (2024-2025) focusing on AI tools in multilingual text creation. Research interests span translation technology, human-computer interaction ethics, and educational strategies for integrating AI tools. She has contributed to discussions on machine translation's societal impact and translator work practices through articles like 'What motor vehicles and translation machines have in common' and 'Vær smartere end dine elever.' Notable collaborations include the HAL research project (2018-2023) exploring translation technology's human, application, and language dimensions. She actively engages in policy discussions, including the legislative proposal for interpreter education in Denmark.

• Control Systems
• Reinforcement Learning
• Cybersecurity
• +۳ مورد دیگر

Mahmood Mazare is a Postdoctoral Researcher at SDU Mechatronics (CIM), University of Southern Denmark. His work focuses on advanced control systems and cybersecurity applications in energy generation technologies. Primary affiliations: University of Southern Denmark Research Interests: Control systems optimization Reinforcement learning applications Cybersecurity in energy systems Wind power generation security Optimal control strategies Compressed air motor technology Recent Research Trends: Mazare's publications demonstrate expertise in developing secure control systems for renewable energy applications, particularly focusing on mitigating cyber threats through reinforcement learning approaches and addressing disturbances in power conversion systems. Scientific Contributions: 3 peer-reviewed journal publications in the past year covering topics in control theory, wind power security, and compressed air motor systems.

Rasmus Leck Kæselerمشاهده پروفایل

استادیار

• Biomedical Engineering
• Robotics
• Machine Learning
• +۳ مورد دیگر

Rasmus Leck Kæseler is an Assistant Professor in the Department of Health Science and Technology at Aalborg University, affiliated with The Faculty of Medicine. His work focuses on neurorehabilitation robotics, particularly developing assistive technologies for severely disabled individuals through innovative interfaces like tongue-computer systems and brain-computer interfaces. Key projects include the CRERoB initiative (Center for Rehabilitation Robotics - phase II) and the MultiRob project, which explore multimodal control systems for robotic arms. He collaborates extensively on interdisciplinary research involving mechanical engineering, electrical engineering, and clinical applications. Research interests span neural signal processing (e.g., SSVEP classification), adaptive exoskeleton design, and user-centered interface development for individuals with spinal cord injuries or ALS. Recent publications emphasize improving assistive robotic systems through semi-automation and studying long-term user adaptation patterns. Rasmus participates in academic activities such as the 'Forskningens Døgn' public engagement event and workshops on generative AI in education. He holds positions in the Center for Rehabilitation Robotics and contributes to conferences like the IEEE Engineering in Medicine and Biology Society.

Shuai Zhaoمشاهده پروفایل

استادیار

• Power Electronics
• Reliability Engineering
• Machine Learning
• +۴ مورد دیگر

Shuai Zhao is an Assistant Professor at the AAU Energy Department, Faculty of Engineering and Science, Aalborg University. His research focuses on applying machine learning and artificial intelligence techniques to enhance reliability and condition monitoring in power electronic systems, with specific interests in lifetime estimation, fault diagnosis, and health management of critical components like capacitors and semiconductor devices. Institution: Aalborg University School: Faculty of Engineering and Science Department: AAU Energy Email: szh@energy.aau.dk His research spans multiple domains including: Physics-informed machine learning for power converter systems Remaining useful life prediction with hybrid Bayesian deep learning Thermal transient analysis and stress emulation methods IoT-enabled monitoring schemes for semiconductor devices Neural network applications in lithium-ion battery prognostics Recent publications show a strong trend toward integrating domain-specific physics with machine learning frameworks to address real-world challenges in: Power electronics reliability under operational stress Anomaly detection in multivariate time-series data Robust fault diagnosis for railway traction systems Temperature estimation in electric vehicle motors Imbalanced data handling in diagnostic systems Capacitance degradation modeling under environmental factors Current projects demonstrate collaboration with leading institutions on: AI-assisted long-term maintenance strategies Physics-informed neural network architectures Smart agricultural monitoring systems via IoT platforms Advanced particle filter methods for life prediction

Mateja Novakمشاهده پروفایل

استادیار

• Model Predictive Control
• Power Electronics
• Multilevel Converters
• +۶ مورد دیگر

Mateja Novak is an Assistant Professor at AAU Energy, Aalborg University, Denmark, within the Department of Applied Power Electronic Systems under the Faculty of Engineering and Science. Her research focuses on model predictive control, multilevel converters, machine learning, and reliability of power electronic systems, contributing to sustainable energy systems and renewable energy integration. She holds a Ph.D. from Aalborg University (2020) and an M.Sc. from Zagreb University (2014). Previously, she was a Postdoc at AAU Energy (2020-2023) and a visiting researcher at Kiel University (2018) and Danfoss (2023). Notable achievements include the EPE Outstanding Young EPE Member Award (2019) and 2nd place in the 2021 IEEE-IES Student and YP Competition. Her work spans projects like ALL2GaN (2023-2026) and AI-Power (2022-2027), addressing GaN IC solutions and AI-driven power electronics advancements. She is actively involved with IEEE societies including the Power Electronics Society and IEEE Women in Engineering. Her research outputs emphasize control strategies for power electronics, reliability analysis, and optimization techniques. Key areas of exploration include thermal stress balancing in converters, statistical model checking, and multiobjective control algorithms. Collaborations with industry partners like Danfoss and academic institutions like Kiel University underscore her interdisciplinary approach to advancing power electronics technology.

• Physical Activity
• Childhood Health
• Clinical Biomechanics
• +۹ مورد دیگر

Jan Christian Brønd is an Associate Professor in the Department of Sports Science and Clinical Biomechanics at the University of Southern Denmark, where he is affiliated with RICH - Research In Childhood Health. His work bridges clinical biomechanics, public health, and pediatric physical activity research. University: University of Southern Denmark Department: Department of Sports Science and Clinical Biomechanics Research Group: RICH - Research In Childhood Health His research focuses on physical activity, sedentary behavior, motor skill development in children, and the use of accelerometers for objective measurement in clinical and population settings. He investigates health outcomes in children, individuals with multimorbidity, and chronic conditions such as type 2 diabetes and multiple sclerosis. His recent publications reveal a strong emphasis on randomized controlled trials, longitudinal interventions, and device-based data collection. Key themes include childhood obesity prevention, inflammation in chronic disease, rehabilitation in neurological conditions, and the impact of screen time on physical activity. Scientific contributions include high-impact studies published in journals like Nature Medicine , BMJ Public Health , and European Journal of Sport Science . He has taught courses such as Clinical Movement Analysis , Learning and Cognition , and Best Practice in Childhood Physical Activity and Health . He has also supervised students and led components of major research trials. Public engagement includes media appearances discussing calorie expenditure beyond gym settings. His research network spans national and international collaborations, particularly in public health and chronic disease management.

• Human-Computer Interaction
• Virtual Reality
• Body-Based User Interfaces
• +۳ مورد دیگر

Joanna Bergström is an Associate Professor in the Department of Computer Science within the Faculty of Science at the University of Copenhagen. Her research focuses on human-centered computing, specifically in human-computer interaction (HCI), virtual reality (VR), and body-based user interfaces. Based at Sigurdsgade 41 in Copenhagen, she maintains an active research profile with 41 publications and significant international collaborations. Her primary research interests include virtual reality systems , haptic feedback mechanisms , interaction techniques , and perceptual studies . She investigates experimental methods in HCI, human perception, motor skills, and statistical modeling. Current projects explore tendon vibration for movement illusions in VR, ultrasound-based chemical stimulants for skin haptics, and doorway effects on memory in virtual environments. Analysis of her 15 most recent publications (2023-2025) reveals strong emphasis on VR locomotion techniques , haptic perception , and cognitive aspects of virtual environments . Key trends include multimodal feedback systems (combining tactile and chemical stimulation), real-world application of VR for medical training, and rigorous experimental validation of interaction paradigms. Her work frequently appears in top venues like CHI and IEEE Transactions on Haptics. Bergström maintains active research networks across multiple countries, with significant external collaborations reflected in her publication record. Her work has been referenced by 12 news outlets and garnered attention on social media platforms including X (7 users) and Bluesky (3 users), while accumulating 23 Mendeley readers for her 2025 DIRA paper.

Silvia Toluمشاهده پروفایل

دانشیار

• Neurorobotics
• Bio-inspired Control Systems
• Neuromorphic Engineering
• +۳ مورد دیگر

Silvia Tolu is an Associate Professor at the Technical University of Denmark's Department of Electrical and Photonics Engineering, specializing in Neurorobotics. She leads the NeuroRobotics Technology Lab (NRT-LAB), focusing on bio-mimetic control architectures for compliant robotic systems. Her research integrates neuroscience, computer science, and biology to develop solutions for assistive robotics and neurodegenerative disease diagnosis. Her research interests span: Neuro-robotics and neuromorphic engineering Bio-inspired control systems and adaptive motor control Machine learning for robotic applications Human-robot compliant interaction Cerebellar control models Publications primarily focus on neurorobotics, bio-inspired control, and human-robot interaction, with recent advances in learning-based control systems for soft robots and aerial manipulation. Awards include the AEG Elektrofonden Research Grant and funding for human-robot interaction safety research. Current projects include LOCOPD (Lundbeck Foundation), AEROTRAIN (EU Marie Curie ITN), and compliant human-robot interaction systems. She supervises multiple PhD students in neurorobotics and maintains international collaborations across Europe and Asia. Laboratory resources include advanced robotic platforms for musculoskeletal and soft robot control.

Julian Antony Quickمشاهده پروفایل

پژوهشگر

• Wind Power
• Wind Turbine Engineering
• Compressed Air Motors
• +۳ مورد دیگر

Julian Antony Quick is a Researcher at the Department of Wind and Energy Systems within the Technical University of Denmark . His work focuses on wind farm optimization, energy management, and market-driven renewable energy systems. Active research in wind farm control and market integration Specializes in hybrid power plant design and uncertainty quantification Contributes to UN Sustainable Development Goals through wind energy research His research explores advanced optimization techniques for wind resource assessment, turbine design, and revenue maximization in electricity markets. Key areas include: Compressed air energy storage integration Wind farm layout optimization Surrogate-based system modeling Dynamic energy management strategies While not explicitly listed, his collaborative projects suggest active involvement in PhD supervision and industry partnerships across Europe. His recent publications demonstrate a strong focus on translating technical advances into economic benefits through: Market-aware wind farm design Data-driven flow control Hybrid system efficiency improvements SDG-aligned sustainable energy solutions

• Human Factors
• Human-Computer Interaction
• E-Health
• +۶ مورد دیگر

John Paulin Hansen is a Professor at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics under the Technology and Business Studies school. His research focuses on human factors, human-computer interaction, and assistive technologies, particularly in gaze interaction and rehabilitation robotics. He holds a Ph.D. from Aarhus University (1992) and has led research groups at institutions like Risø National Laboratory and the IT University of Copenhagen. His work emphasizes improving quality of life for individuals with motor disabilities through innovations like The Eye Tribe and GazeIT lab initiatives. Research Interests include: Eye-tracking technology and gaze interaction systems Exoskeletons and AR interfaces for stroke rehabilitation Human digital twins in healthcare Telepresence robotics accessibility Brain-computer interfaces (BCI) Key Achievements: Founded EU’s COGAIN network, co-created The Eye Tribe startup (acquired by Facebook/Oculus), and leads the GazeIT lab supported by the Bevica Foundation. His projects address sustainable development goals through inclusive technology solutions. Awards: Vanførefondens Forskerpris 2018 Multiple Best Paper Awards (2019–2022) Reviewers' Favourite Best Paper Award at DESIGN2022 Advising & Grants: Mentor to startups like The Eye Tribe and Orbital (acquired by GN Audio). Current projects include EU Horizon 2020 Rehyb initiative for AR exoskeleton interfaces and Human Digital Twin applications in rehabilitation. Labs/Teams: GazeIT lab pioneers assistive tech innovations, collaborating with LEGO and Serious Games Interactive. Active in developing inclusive design pedagogy and digital twin methodologies for healthcare.