جستجوی استاد راهنمای دانشگاهی

Naeem Ayoubمشاهده پروفایل

استادیار

• Machine Learning
• Computer Vision
• Robotics
• +۱۲ مورد دیگر

Naeem Ayoub is an Assistant Professor in the Department of Technology and Innovation at the University of Southern Denmark (SDU), affiliated with SDU Technology Entrepreneurship and Innovation. His research bridges computer science and engineering, focusing on intelligent systems and automation. Research Interests: His work spans machine learning, computer vision, robotics, and cyber-physical systems. He explores applications in autonomous drones, digital twins, power line inspection, and environmental monitoring. His research emphasizes real-time decision-making, energy efficiency, and anomaly detection in complex systems. The recent publications highlight a strong trend in deploying AI-driven robotics for industrial and environmental applications, particularly in infrastructure inspection and predictive maintenance. His work integrates neural networks, sensor networks, and autonomous navigation to solve practical engineering challenges. Scientific Contributions: Active contributor to 19 research outputs including journals and conference proceedings. Creator of an open-source dataset for pylon component and fault detection using machine learning. Involved in interdisciplinary collaborations across engineering, environmental science, and computer science. Advising and Grants: While no formal students are listed, he has participated in academic supervision as a censor in internal examinations. His projects suggest involvement in research grants related to autonomous systems and industrial digitalization, though specific funding details are not provided. Labs and Teams: He collaborates within research teams focused on robotics and intelligent systems at SDU, particularly in drone technology and cyber-physical systems. His work involves close collaboration with researchers in environmental monitoring, power systems, and industrial automation.

Mohammad Hassan Khoobanمشاهده پروفایل

دانشیار

• Power Systems
• Renewable Energy
• Control Systems
• +۴ مورد دیگر

Mohammad Hassan Khooban is an Associate Professor at the Department of Electrical and Computer Engineering, specializing in Electrical Energy Technology at Aarhus University . His research emphasizes advanced control strategies for power systems, renewable energy integration, and smart grid technology. While specific educational background details are not explicitly stated, his work demonstrates expertise in power electronics, control systems, and machine learning applications. His projects include pioneering initiatives like QuantumEcoCircuits (2024–2027) and Smart Synergy Mechanism (2023–2025), focusing on sustainable energy systems, electric vehicle charging dynamics, and resilient grid operations. His research interests span adaptive control methodologies, grid resilience under cyber threats, and the optimization of energy storage systems. He has contributed to peer-reviewed journals such as IET Renewable Power Generation and IEEE Transactions on Smart Grid , exploring topics ranging from PID controllers to fractional-order sliding mode control for unmanned aerial vehicles. No scientific awards are listed, but his work is supported through grants and collaborative projects. He is actively involved in lab initiatives related to power systems and renewable energy technologies.

Izabela Ewa Nielsenمشاهده پروفایل

استاد

• Artificial Intelligence
• Operations Research
• Unmanned Aerial Vehicles
• +۵ مورد دیگر

Izabela Ewa Nielsen is a Professor at Aalborg University's Department of Materials and Production under The Faculty of Engineering and Science. Her research focuses on artificial intelligence applications in operations research, unmanned aerial vehicles (UAVs), genetic algorithms, and mobile robotics. She holds a degree from Warsaw University of Technology (25 Oct 2025). Research Interests: Her work integrates AI with logistics optimization, health data analysis, and sustainable supply chains. Notable projects include the EU-funded 'Operational Reliability Management System (ORMS)' and 'UAWORLD', exploring UAVs in industrial settings. Projects & Collaborations: Leading ORMS (2016-2019) to enhance operational reliability through AI-driven solutions. Contributing to TAPAS (2010-2014), advancing robotics in factory automation. Co-developing ValuePole (2008-2011) for SME performance optimization. Advising & Grants: Supervised projects such as the EU classification methodology study (2022-2023) and contributed to over 6 major research initiatives. Her work frequently involves interdisciplinary teams and industry partnerships. Labs & Teams: Active in AI for Operations Research labs, collaborating with robotics and logistics experts. Her group focuses on real-world applications of autonomous systems in manufacturing and healthcare.

Preben E. Mogensenمشاهده پروفایل

استاد

• Wireless Communications
• 5G Technology
• Cellular Networks
• +۳ مورد دیگر

Preben E. Mogensen is a Professor at Aalborg University's Department of Electronic Systems within The Technical Faculty of IT and Design. His research focuses on wireless communication networks, 5G/6G technologies, and their applications in smart production and robotic systems. He leads and collaborates on projects involving cellular networks, unmanned aerial vehicles (UAVs), and interference coordination. Research interests include cellular network optimization, machine learning-driven beam selection, and vehicular communication systems. His work addresses challenges in path loss analysis, antenna design, and edge-cloud integration for real-time robotic control. Recent projects include 5G-enabled autonomous robotics and cognitive radio concepts for beyond-femtocells. Mogensen has received the 2019 5G-prisen award recognizing contributions to Danish telecommunications advancements. He has published over 520 research outputs, with a focus on high-impact journals and conferences. Active collaborations span academia and industry, including work on 5G Smart Production and community-driven IoT solutions. He hosts guest researchers and advises on projects involving 5G implementation in factories and emergency response systems. His lab environments include facilities for testing advanced radio resource management and network synchronization in industrial settings.

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.

Dimitris Chrysostomouمشاهده پروفایل

دانشیار

• Robotics
• Computer Vision
• Human-Robot Interaction
• +۴ مورد دیگر

Dimitris Chrysostomou is an Associate Professor in the Department of Materials and Production at Aalborg University, Denmark. He leads the Robotics & Automation Group and directs the AI:Cybernetics Lab. His work focuses on developing safe, intuitive robotic systems for industrial and social contexts, emphasizing human-robot interaction (HRI), AI ethics, and collaborative robotics. Chrysostomou has over 15 years of research experience, funded by EU frameworks and national grants, with over 70 peer-reviewed publications. Education: PhD in Robot Vision (2013) and Diploma in Production Engineering (2006) from Democritus University of Thrace. He coordinates courses in robotics and manufacturing technology, emphasizing problem-based learning models. Administrative roles include heading the Robotics and Automation Group and the Aalborg Robotics Challenge steering committee. Research interests span AI-driven robotics, ethical implications of robot behavior, and HRI evaluation methodologies. Key projects include SAPIENT (2025-2027) for robotic intelligence and RIACT (2024-2025) on collaborative robot technology. Editor-in-Chief of *Industrial Robot* journal, IEEE Senior Member, and leader in euRobotics standardization initiatives. Notable contributions include virtual assistants for industrial robots, trust evaluation frameworks in HRI, and energy-based approaches for collaborative robotics. Active in conference organization, editorial roles, and industry collaborations, including co-founding AI startups.

Niels van Berkelمشاهده پروفایل

استاد

• Artificial Intelligence
• Human-Computer Interaction
• Large Language Models
• +۴ مورد دیگر

Niels van Berkel is a Professor in the Department of Computer Science at Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on Human-Centered Computing and AI for societal benefit, with key projects including the HERD initiative on human-robot collaboration and initiatives to enhance mental health through digital tools. He leads multiple research projects involving AI ethics, healthcare applications, and swarm robotics. His educational background includes a Ph.D. in Computer Science. Research interests span AI explainability, human-AI interaction design, and the ethical implications of AI systems in healthcare and daily life. He has supervised 1 doctoral student and contributed to over 169 research outputs across journals, conferences, and datasets. Notable contributions include work on chatbot-driven data collection, coordination in AI development teams, and swarm robotics for search & rescue. His project 'AI for the People' emphasizes technology's role in improving societal wellbeing, while collaborations with medical professionals address chronic pain management and telehealth innovations. He received the DIS 2024 Honourable Mention and has actively engaged with media to communicate research impacts, including discussions on AI ethics and robot swarms. His work bridges technical innovation with human-centric design principles, addressing challenges in explainable AI, moral agency perceptions, and sustainable urban mobility solutions.

Patricia Wolfمشاهده پروفایل

استاد

• Innovation Management
• Foresight and Future Studies
• Artificial Intelligence in Society
• +۷ مورد دیگر

Patricia Wolf is a Professor in the Department of Business & Management at the University of Southern Denmark (SDU), Faculty of Business and Social Sciences. She is affiliated with multiple interdisciplinary research centers, including the Centre for Integrative Innovation Management (C*I2M), the SDU SCC Elite Center PACA, and the SDU Climate Cluster, reflecting her broad impact across innovation, climate futures, and societal transformation. Her research focuses on innovation management, foresight methodologies, artificial intelligence in social contexts, knowledge management, and climate futures. She explores how organizations and societies can envision and enact sustainable futures, particularly through participatory and creative methods such as scenario development, flash fiction, and citizen science. The 15 most recent publications reveal a strong trend toward integrating AI, climate imagination, and participatory futures, with increasing emphasis on emotional dimensions like climate anxiety and hopeful envisioning. Her work bridges theory and practice, often involving collaborations with SMEs, educational institutions, and environmental organizations to co-create actionable strategies. Innovative Teaching Award 2024 John Bessant Best Paper Award (2023 and 2021) SCC Fast track - uddelingsrunde november 2024 Patricia Wolf has secured significant grant funding for projects such as FUSION, PACA, and CFF, where she serves as Principal Investigator or Co-PI. These projects focus on mobilizing youth, educators, and communities to engage in climate future fiction and responsible innovation. She has supervised PhD students and contributed to curriculum development in innovation and foresight education. Her teaching includes courses on innovation management, knowledge management, and organizational processes. She leads and participates in interdisciplinary teams across SDU, including collaborations with the Department of Sports Science, the Climate Cluster, and external partners in Denmark and Germany. Her labs and research groups emphasize co-creation, narrative methods, and future-oriented design, fostering a culture of integrative and socially responsible innovation.

Rune Hylsberg Jacobsenمشاهده پروفایل

استاد

• Energy Systems
• Drone Technology
• Blockchain Applications
• +۱۲ مورد دیگر

Rune Hylsberg Jacobsen is a Professor at the Department of Electrical and Computer Engineering, Aarhus University. His work bridges energy systems, drone technology, and blockchain applications, with a focus on smart grids, autonomous systems, and decentralized infrastructure. Research interests include: Security frameworks for prosumer-driven energy systems using blockchain mmWave and LEO satellite communication protocols Homomorphic encryption for smart meter privacy Cooperative drone swarm navigation and infrastructure inspection Earth observation via CubeSats for climate research His recent publications highlight advancements in: Zero trust security models for renewable energy certificates Transport protocol optimization in satellite networks AI-driven charging window scheduling for drone fleets Decentralized identity management in Web3 infrastructure Key projects include: DISCO-2: Student CubeSat for Arctic climate monitoring Drones4Safety: Safety-critical inspection systems VPP4SGR: Virtual Power Plant networks

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.

Evangelos Boukasمشاهده پروفایل

دانشیار

• Deep Learning
• Unmanned Aerial Vehicles
• Computer Vision
• +۵ مورد دیگر

Evangelos Boukas is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), Faculty of Engineering. His research focuses on autonomous robotic systems for marine vessel inspection, confined space navigation, and man overboard detection using UAVs and deep learning techniques. His core research interests include Deep Learning , Unmanned Aerial Vehicles , Computer Vision , and Robotics , applied to solve challenges in marine robotics and autonomous inspection. He develops uncertainty-aware navigation systems, probabilistic segmentation methods, and reinforcement learning frameworks for real-world deployment in complex environments. Recent publications demonstrate a strong trend toward GPU-accelerated deep learning for confined space inspection, with emphasis on uncertainty estimation, domain adaptation, and real-time processing. Key application areas include marine vessel classification, ballast tank inspection, and search-and-rescue operations, often leveraging multimodal sensor fusion. Dr. Boukas actively supervises five PhD students across major research projects: Probabilistic Deep Learning for Autonomous Aerial Inspection (2025-2028) Aerial Robots Design for Confined Spaces Inspection (2024-2027) Active Semantic Segmentation for Confined Spaces using Aerial Robots (2024-2027) Autonomous Aerial Robotics for Man Overboard Incidents (2023-2026) Visual and Multimodal Perception for Construction Robotics (2023-2026) He leads the "Perception and Cognition for Autonomous Systems" research group at DTU, which develops advanced perception algorithms for robots operating in challenging environments like ship ballast tanks and marine vessels, contributing to UN Sustainable Development Goals for industry innovation and marine conservation.

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.

Jacob Nielsenمشاهده پروفایل

دانشیار

• Modular Robotics
• Human-Robot Interaction
• Educational Robotics
• +۳ مورد دیگر

Jacob Nielsen is an Associate Professor at the SDU Metaverse Lab, affiliated with the Maersk Mc-Kinney Moller Institute at the University of Southern Denmark. His research spans robotics, audiometry, and educational technology, with a focus on user-centered design and accessibility. Current Role: Associate Professor, SDU Metaverse Lab Key Themes: Modular Robotics, Human-Robot Interaction, User-Operated Audiometry His recent work emphasizes democratizing audiometric testing through smartphone applications and self-administered methods, while earlier contributions include educational robotics frameworks for children and rehabilitation systems using industrial robots. Collaborations extend to clinical audiology and STEM engagement projects in Africa. 2024-2025: 5 publications in user-operated audiometry and hearing aid calibration 2017-2020: TEDx talks and youth robotics programs in Denmark Jacob actively contributes to public discourse through 51 media appearances, including discussions on social innovation, robotics in education, and Denmark’s future technologies.

Jimmy Jessen Nielsenمشاهده پروفایل

دانشیار

• Wireless Communications
• Ultra-Reliable Low Latency Communication
• Internet of Things
• +۹ مورد دیگر

Jimmy Jessen Nielsen is an Associate Professor in the Department of Electronic Systems at Aalborg University, under The Technical Faculty of IT and Design, Denmark. His research focuses on wireless communications, particularly in ultra-reliable low-latency communication (URLLC), 5G/6G networks, Internet of Things (IoT), satellite communications, and energy-autonomous networks. He is actively involved in several EU- and ESA-funded research initiatives such as PAINLESS, WILLOW, ONE5G, and SATNEX V, where he serves as principal investigator or key participant. His research interests lie at the intersection of wireless access technologies, network optimization, and cyber-physical systems. He explores topics including network slicing, UAV-based access points, software-defined radio, and indoor localization using building plans. His work contributes to UN Sustainable Development Goals in Communication and Informatics, Mathematics and Statistics, and Energy Engineering. His recent publications show a strong trend toward real-time adaptive networking, human-in-the-loop control over wireless links, and infrastructure-less communication systems. These works often involve collaborations with leading researchers such as Petar Popovski and Bosch Soret, and are published in high-impact IEEE venues including IEEE Transactions on Haptics and IEEE Open Journal of the Communications Society. Scientific Awards: Best Paper Award (2021) – for research on Micro Aerial Vehicle Networks and Access Points Nielsen has supervised and examined multiple PhD students and has been an active academic reviewer and committee member. He led the Department of Electronic Systems as chair starting in 2022 and has participated in numerous PhD defenses as both internal and external examiner. He also contributes to public discourse through media appearances on topics like Wi-Fi optimization and future mobile networks for robotics. He is affiliated with the Connectivity section at Aalborg University and maintains an active research profile with ongoing projects extending into 2025. His work emphasizes practical, deployable solutions for next-generation communication systems.

Ulrik Pagh Schultz Lundquistمشاهده پروفایل

استاد

• Robotics
• Unmanned Aerial Vehicles
• Programming Languages
• +۶ مورد دیگر

Ulrik Pagh Schultz Lundquist is a Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), where he serves as Head of both the SDU UAS Center and SDU Climate Cluster. With over 123 research outputs spanning robotics, drone technology, and programming languages, Lundquist leads significant initiatives including WildDrone (2023-2026) and Terra Salva (2024-2026), and has established himself as a leading expert in unmanned aerial systems research with extensive field applications in wildlife conservation. Lundquist's research focuses on the intersection of robotics and environmental science, with particular expertise in drone swarms for ecological monitoring. His work bridges theoretical computer science with practical conservation challenges, developing programming languages and formal models specifically for modular robotics systems. Key research thrusts include minimizing wildlife disturbance through optimized drone operations, multi-perspective data collection techniques, and scalable BVLOS (Beyond Visual Line of Sight) systems for conservation areas. His fingerprint analysis reveals strong contributions to domain-specific languages (67%), unmanned aerial vehicles (28%), and object-oriented programming (28%). Recent publications demonstrate a clear trajectory toward practical conservation applications, with increasing emphasis on ethical drone deployment, wildlife disturbance minimization, and operational safety in complex environments. Lundquist's work shows growing integration of swarm intelligence techniques with traditional conservation practices, particularly in African ecosystems as evidenced by field trials at Kenya's Ol Pejeta Conservancy. Lundquist actively leads multiple research projects including WildDrone (focusing on multi-perspective animal monitoring), Terra Salva (terahertz data transmission via drones), and a High Altitude Balloon platform for vegetation monitoring. His professional leadership includes chairing the ACM International Conference on Generative Programming Steering Committee (2019-2022) and significant roles in COST Action IC1405 (2015-2019). As a highly visible expert, he has contributed to 107 media appearances, frequently advising on drone policy including Denmark's regulatory approaches to drone safety and wildlife protection. As Head of the SDU UAS Center, Lundquist directs a multidisciplinary research team specializing in conservation drone technology. The center maintains strong international collaborations, particularly with African conservation organizations, focusing on developing drone swarm methodologies that balance data quality with minimal ecological disturbance. Current team efforts prioritize field-deployable systems that can operate effectively in remote natural habitats while providing conservationists with high-quality multi-perspective monitoring capabilities.