جست‌وجوی استاد و پژوهشگر

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.

Lars Hvamمشاهده پروفایل

استاد

• Engineering Design
• Product Configuration
• Mass Customization
• +۷ مورد دیگر

Lars Hvam is a Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), where he specializes in Engineering Design and Manufacturing Systems. His research is deeply rooted in product configuration, modular architectures, and mass customization, with applications across diverse industries including naval engineering, logistics, and jewelry manufacturing. Research Interests: His work focuses on improving engineering processes through digital tools such as configurators and digital twins. Key areas include product architecture, systems engineering, logistics service design, and data-driven optimization of manufacturing systems. He actively explores how configurators can extend product offerings into services and enhance operational efficiency. Publication Trends: His recent articles (2025) highlight a strong emphasis on practical applications of configuration systems, decision modeling in engineer-to-order environments, and the integration of augmented reality with digital twins for operator training. These works span disciplines such as industrial engineering, computer science, and supply chain management, reflecting an interdisciplinary approach. Scientific Contributions: While specific awards are not listed, his extensive publication record and leadership in major research projects underscore his impact in the field. Advising and Grants: He supervises several PhD students in projects related to modular architecture, logistics, and configurator implementation. His team is involved in both active and completed research initiatives, indicating sustained funding and academic leadership. Labs and Research Teams: He collaborates closely with Professor N. H. Mortensen and other researchers within DTU’s engineering design group, contributing to a robust research network focused on industrial problem-solving and innovation.

Anders Møllerمشاهده پروفایل

استاد

• Programming Languages
• Software Engineering
• Static Program Analysis
• +۴ مورد دیگر

Anders Møller is a Professor and Vice Head of Department at the Department of Computer Science, Aarhus University, Denmark. He is a leading researcher in programming languages and software engineering, with a primary focus on static and dynamic program analysis. He serves as Chairman of the PhD Committee and holds leadership roles in the international research community, including Vice-Chair of ACM SIGPLAN and Associate Editor for ACM TOPLAS and ACM TOSEM. His research interests include programming languages, software engineering, static and dynamic analysis, program verification, and security. His work bridges theoretical foundations and practical applications, particularly in improving software reliability and security through advanced analysis techniques. The trends in his recent publications reflect a strong emphasis on static analysis for security, scalability, and real-world impact—especially in web applications, smart contracts, and open-source software supply chains. His research has evolved toward practical deployment, demonstrated by the founding and acquisition of Coana by Socket in 2025 for enhanced vulnerability detection. Recipient of the Danish Elite Research Prize 2020 ACM Distinguished Member He actively mentors students and contributes to the academic community through conference leadership (e.g., OOPSLA, PLDI, ICSE). He also co-authored the widely used textbook Static Program Analysis with Michael I. Schwartzbach. His work is deeply integrated into both academic and industrial advancements in software analysis and security.

Jesper Wengelمشاهده پروفایل

استاد

• Oligonucleotide Research
• Locked Nucleic Acid Biochemistry
• Nucleic Acid Chemistry
• +۵ مورد دیگر

Jesper Wengel serves as the Dean of the Faculty of Engineering and Science at Aalborg University (AAU), Denmark, where he leads academic and research initiatives. As a prominent researcher, his work has significantly advanced Oligonucleotide Biochemistry and Locked Nucleic Acid applications in therapeutic contexts. Role: Dean, Faculty of Engineering and Science, AAU (since December 1, 2024) Previous Affiliation: Pro-Dean for Innovation and Society at the University of Copenhagen His research focuses on Biochemistry , Genetics , and Molecular Biology , with emphasis on: DNA/RNA chemistry and modifications Therapeutic oligonucleotide design Biomolecular assembly and drug delivery systems Anti-gene clamps targeting neurodegenerative diseases Peptide-oligonucleotide conjugates Thiol conjugation techniques Recent publications highlight his expertise in Bioconjugate Chemistry and Nucleic Acid Therapeutics , particularly in: Modular albumin-Holliday junction systems for prolonged circulation Anti-gene oligonucleotide clamps for Huntington's disease Improved thiol conjugation for biomolecular stability He has also contributed to patent development in oligonucleotide-based therapeutics, though specific scientific awards are not detailed in the provided text.

• Marine Engineering
• Digital Twins
• Co-simulation Systems
• +۳ مورد دیگر

Yingguang Chu is an Associate Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark, specializing in Mechatronics. His research focuses on co-simulation systems, digital twins, and marine engineering applications. Research Interests : Digital twin technologies, co-simulation frameworks, marine crane systems, hydraulics, and control algorithms. Projects : Active participant in the ShippingLab II project (2024-2027) on digital twins and human factors in vessel performance. Research Output Trends : Recent work emphasizes physics-inspired neural networks for mobile machinery dynamics, environmental load sensitivity analysis, and Vico-based co-simulation systems for marine operations. Publications frequently address crane path planning, digital twin implementation, and dynamic response optimization. Scientific Awards : IEEE Robotics and Automation Magazine Best Paper Award (2024) Teaching Responsibilities : Supervises master's theses on topics like CFD simulations, membrane valve systems, and fluid mechanics, while teaching mobile hydraulics courses.

Chaochao Songمشاهده پروفایل

پژوهشگر

• Power Electronics
• Control Systems
• Renewable Energy
• +۳ مورد دیگر

Chaochao Song is a Postdoctoral Researcher at Aalborg University's Faculty of Engineering and Science within the Department of Applied Power Electronic Systems, specializing in power electronics for renewable energy systems. His work focuses on photovoltaic and wind energy applications with emphasis on converter reliability and control optimization. Dr. Song completed his PhD at Aalborg University (2019-2023) under Prof. Frede Blaabjerg and Dr. Aron Sangwongwanich, researching dual-active-bridge converters for PV systems. His core expertise spans: Power Converter Design : DC-DC topologies including solid-state transformers and NPC-based DAB converters Advanced Control : Capacitor voltage balancing, phase-shift modulation, and harmonic mitigation System Integration : Applications in wind farms, photovoltaic systems, and electric aircraft power networks Recent publications (2024-2025) reveal concentrated research on multilevel converter control strategies, with growing emphasis on cross-domain applications like wind energy solid-state transformers and aircraft electrification. His work consistently addresses reliability challenges through innovative modulation schemes and system-level optimization. No scientific awards were documented in the provided materials. Dr. Song served as Principal Investigator for the research project "Efficient and Reliable DAB converters in PV Systems" (2019-2023), collaborating with leading power electronics researchers including Prof. Blaabjerg. Current work involves multiple funded projects within AAU Energy's research ecosystem, focusing on converter reliability for next-generation renewable integration. He operates within AAU's Power Electronic Control, Reliability and System Optimization research group, which maintains strong industry partnerships and participates in international collaborations across Europe's renewable energy sector. The team specializes in experimental validation of converter systems using advanced laboratory facilities at Pontoppidanstræde 111.

Manfred Jaegerمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Bayesian Networks
• +۵ مورد دیگر

Manfred Jaeger is an Associate Professor at the Department of Computer Science, Technical Faculty of IT and Design, Aalborg University. His research focuses on Artificial Intelligence , Bayesian Networks , and Graph Neural Networks , with significant contributions to probabilistic reasoning and relational learning. University: Aalborg University School: Technical Faculty of IT and Design Department: Department of Computer Science Jaeger's research explores inductive and probabilistic reasoning , statistical relational learning , and model checking . His recent work integrates heterogeneous graph neural networks with relational Bayesian network encodings to enhance reasoning capabilities in complex systems. Key trends in his publications include relational deep learning , probabilistic inference , and graph-based modeling . He has contributed to applications in social network community detection , reinforcement learning for MDPs , and latent variable models for graph learning . Jaeger collaborates on projects involving incomplete data analysis , modularization of complex tasks , and probabilistic logic . His datasets on multi-multi-instance learning networks are publicly available for research use.

Hossein Asgharianمشاهده پروفایل

پژوهشگر ارشد

• Carbon Capture and Storage
• Green Ammonia Production
• Hydrogen Energy Systems
• +۳ مورد دیگر

Hossein Asgharian is a Research Fellow at Aalborg University's Faculty of Engineering and Science, specializing in sustainable energy systems with a focus on carbon capture technologies, green ammonia production, and power-to-fuels. His work addresses critical industrial decarbonization challenges, particularly in cement production and hydrogen-based energy carriers, through advanced process integration and techno-economic analysis. His research interests span carbon capture and storage (CCS), green ammonia synthesis pathways, hydrogen energy systems, and cross-sector carbon management. He employs cryogenic separation techniques, absorption refrigeration cycles, and process heat integration to develop scalable solutions for industrial emissions reduction, with strong emphasis on Denmark's transition to carbon-neutral energy systems. Dr. Asgharian leads and contributes to multiple high-impact projects including Modeling and Evaluation of Power to Fuels (2022-2025), HySTrAm: Hydrogen Storage and Transport using Ammonia (2022-2025), and CO2Vision - CC Portland (2021-2023). Funded by EUDP, Energy Cluster Denmark, and REACT-EU, these initiatives involve industry partners like Aalborg Portland and focus on cryogenic CO2 capture, sustainable urea production, and ammonia-based hydrogen carriers. His publication portfolio demonstrates consistent innovation in carbon management and renewable energy integration, with recent work analyzing cryogenic capture for cement plants, decentralized green ammonia production, and hybrid vessel energy systems. He actively collaborates with European research networks to advance cross-sector coupling of carbon capture technologies and sustainable fuel pathways.

Kasper Støyمشاهده پروفایل

استاد

• Robotics
• Modular Robotics
• Bio-Inspired Robotics
• +۲ مورد دیگر

Kasper Støy is a Professor in Robotics and Embodied Artificial Intelligence at the IT University of Copenhagen, specializing in distributed control of multi-robot systems and modular robotics. He has published over 95 works and authored the MIT Press book Self-Reconfigurable Robots: An Introduction . As co-founder of Universal Robots, he bridges academic research with industrial applications. M.Sc. in Computer Science & Physics, University of Aarhus (1999) Ph.D. in Computer Systems Engineering, University of Southern Denmark (2003) His research focuses on: Modular Robotics Bio-Inspired Robotics Human-Robot Interaction Embodied Artificial Intelligence Self-Reconfigurable Systems Recent publications address anxiety-reducing pocket robots, tactile comfort systems, and origami-inspired mechanical designs. He has won awards including the 2017 GECCO Virtual Creatures Competition. 2017: GECCO Virtual Creatures Competition Active in academic service, he chaired recruitment committees for Statistics and Machine Learning positions. Collaborations span European Commission projects like MUHMI-MOZART and BIG-MAP.

Søren Knudsenمشاهده پروفایل

استادیار

• Information Visualization
• Human-Computer Interaction
• Data Visualization
• +۳ مورد دیگر

Søren Knudsen is an Assistant Professor at the Digital Design Department, IT University of Copenhagen and holds a Marie Curie Fellowship for postdoctoral work at the University of Copenhagen. He serves as Academic Director of the Human Data Interaction Lab. Positions: Assistant Professor, Marie Curie Postdoctoral Scholar Affiliations: IT University of Copenhagen, University of Copenhagen Key Roles: Academic Director, Human Data Interaction Lab His research centers on information visualization and human-computer interaction , particularly in face-to-face and online contexts. He explores how large-area displays and social media can enhance data comprehension and collaborative discussion. Notable work includes surveys on interactive visualization techniques for large displays, frameworks for data visualization education , and EMR-based algorithms for healthcare performance evaluation. His publications span journals like IEEE Transactions on Visualization and Computer Graphics and PLOS ONE . Awards and honors: Marie Curie Fellowship He collaborates across disciplines, with ties to healthcare analytics, educational technology, and computer science departments. His recent studies address challenges in visualization design handoff , proxemics , and ubiquitous data interaction .

Christian Frierمشاهده پروفایل

دانشیار

• Structural Engineering
• Civil Engineering
• Vibration Analysis
• +۴ مورد دیگر

Christian Frier is an Associate Professor at the Department of the Built Environment, Aalborg University, within the Faculty of Engineering and Science. His research focuses on structural engineering, with particular emphasis on footbridge vibrations, stochastic load modeling, and the interaction between pedestrians and structures. He leads or participates in projects such as 'Urban Tranquility' and 'Stochastic Modeling of Pedestrian-Induced Loads,' addressing dynamic behavior and design optimization. Frier has contributed to over 69 publications since 1996, emphasizing probabilistic analysis and vibration mitigation strategies. In 2024, he received the prestigious 'Årets Underviser' award for outstanding teaching in Civil Engineering. His work bridges theoretical analysis and practical applications, influencing sustainable structural design and maritime policy. Research interests include stochastic methods in structural dynamics, pedestrian-structure interaction, and regulatory frameworks for maritime safety. Key contributions involve probabilistic modeling of chloride ingress in concrete and co-regulatory approaches to cyber security in maritime systems. Frier’s projects often combine experimental validation with computational simulations, ensuring robust solutions for complex engineering challenges.

Rasmus Andersenمشاهده پروفایل

پژوهشگر

• Resilient Manufacturing Systems
• Reconfigurable Manufacturing
• Modular Product Development
• +۳ مورد دیگر

Rasmus Andersen is a postdoctoral researcher at Aalborg University's Faculty of Engineering and Science , affiliated with the Department of Materials and Production and the Mass Customization research group. His work focuses on resilient and reconfigurable manufacturing systems , with a strong emphasis on modular and platform-based product development in process industries. Education: PhD (2022), MSc in Operations and Supply Chain Management (2018), BSc in Global Business Engineering (2016) Andersen's research integrates modular design with sustainable manufacturing , addressing challenges in product variety management and system adaptability . He has contributed to projects like AP2030, REKON, and BRD Aseptic Factory 2030, collaborating with over 70 manufacturing companies. Recent publications highlight his expertise in reconfigurable production systems and sustainability integration . He has co-authored datasets like the REKON Toolbox and participated in international conferences including CIRP CMS 2022 and MCPC2023.

Thomas Ditlev Brunøمشاهده پروفایل

دانشیار

• Reconfigurable Manufacturing
• Mass Customization
• Production Systems

Thomas Ditlev Brunø is an Associate Professor at Aalborg University's Department of Materials and Production within the Faculty of Engineering and Science. His research focuses on reconfigurable manufacturing systems, mass customization, and production optimization. Education background includes specialized training in production engineering and industrial systems design. Research interests span: Reconfigurable manufacturing methodologies Mass customization techniques Production system optimization Industrial automation solutions Recent publications demonstrate a strong focus on developing systematic methodologies for adaptable manufacturing systems, with applications in industrial settings. Research projects include REKON (Development of Reconfigurable Manufacturing) and MAASive (Manufacturing As a Service), focusing on creating flexible production solutions. Manages research labs dedicated to advanced manufacturing systems.

Xin Suiمشاهده پروفایل

استادیار

• Lithium-Ion Batteries
• Battery Management Systems
• State of Health Estimation
• +۵ مورد دیگر

Xin Sui is an Assistant Professor at Aalborg University's Department of Power Electronics System Integration and Materials, within the Faculty of Engineering and Science. His research focuses on lithium-ion battery systems, with particular emphasis on state of health estimation, thermal modeling, and the integration of artificial intelligence into battery management. He collaborates on projects like CROSBAT (SMART BATTERY) and leads PhD supervision in areas such as digital twin development and battery aging prediction. Research interests include battery thermal management, machine learning applications for state estimation, and smart battery design. His work bridges physics-based models with data-driven approaches to enhance battery performance and longevity. Recent publications highlight advancements in sensorless temperature estimation, multi-level battery simulation frameworks, and digital twin technologies for energy systems. Xin Sui is a finalist in the 2025 Nordic Energy Challenge for the SynDiv initiative, exploring gender-balanced teams' impact on energy transition strategies. He actively participates in interdisciplinary projects, advising PhD candidates on topics ranging from battery aging to AI-driven monitoring systems.

Faheem Ahmadمشاهده پروفایل

پژوهشگر ارشد

• Power Electronics
• Industrial Heating
• Wide Bandgap Semiconductors
• +۳ مورد دیگر

Faheem Ahmad is a Research Fellow at AAU Energy, Aalborg University, specializing in power electronics and industrial heating applications. He holds a PhD in Power Electronics from Aalborg University (2023), an M.Sc. in Energy Engineering (2020), and a B.Sc. in Electrical Engineering (2014) from Delhi Technological University. His research focuses on high-frequency converter topologies, resonant converters, and wide bandgap semiconductors, particularly for industrial heating systems. He has contributed to projects like GreenHeat (2023–2026) and RFheat (2020–2021), addressing energy-efficient RF generators and curing technologies. Education: PhD in Power Electronics, Aalborg University (2021–2023) M.Sc. in Energy Engineering, Aalborg University (2018–2020) B.Sc. in Electrical Engineering, Delhi Technological University (2010–2014) Research Interests: His work emphasizes advancing power electronics for industrial applications, including high-frequency converters and semiconductor integration in dielectric heating systems. He explores RF-based solutions for energy efficiency and modernizing industrial heating processes. Projects: GreenHeat : Developing energy-efficient RF generators for industrial heating (Innovation Fund Denmark, 2023–2026). CoDE : Center for Digitalized Electronics (Poul Due Jensen Foundation, 2021–2026). Transistorization of Industrial Dielectric Heating Plants : PhD project focusing on semiconductor-based heating systems (2021–2023). Impacts: His work on modular power converters has yielded economic impacts through improved industrial heating systems. He has presented at events like the PDJF Grundfos Prize Expo (2022–2023).