جست‌وجوی استاد و پژوهشگر

Georgios Triantafyllidisمشاهده پروفایل

دانشیار

• Lighting Design
• Energy Efficiency
• Biomimetic Architecture
• +۷ مورد دیگر

Georgios Triantafyllidis is an Associate Professor at the Department of Architecture, Design and Media Technology, Aalborg University Copenhagen. He is affiliated with the Lighting Design Lab, MeCIS (Media Cognition and Interactive Systems), and The Center for Applied Game Research. His work spans lighting design, energy efficiency, biomimetic architecture, and educational technology. He has led projects such as the PLDC Award-winning initiatives and the EU-funded 'PYTHAGORAS' and 'INVITE' programs focusing on sustainable lighting and virtual education. His research emphasizes EEG-based studies on lighting perception, interactive kinetic systems, and circular economy applications in construction. He actively collaborates internationally and has authored over 100 peer-reviewed publications. Research interests include smart building systems, biophilic design, and the psychological impacts of lighting. Recent projects explore daylight control via kinetic facades and virtual reality's role in urban planning. He has received the PLDC Award for Education (2017) and contributed to media coverage on lighting innovations. His academic contributions extend to educational game frameworks for special needs learners and IoT-driven energy management systems.

• Sustainable Everyday Practices
• Energy Consumption
• Mobility Studies
• +۵ مورد دیگر

Toke Haunstrup Bach Christensen is a Senior Researcher at Aalborg University's Department of the Built Environment within the Faculty of Engineering and Science. He is affiliated with the Sustainable Cities and Everyday Practice Research Group and the Center for Design, Innovation and Sustainable Transitions. His research focuses on sociotechnical systems, sustainable everyday practices, energy consumption patterns, and mobility transitions. Key projects include the DECODIT initiative on citizen empowerment for twin transitions, the RESPOND study on pandemic impacts, and the GECKO project on responsible AI co-creation. His work addresses intersections between household practices and sustainable development goals, particularly in domains like energy demand management, sufficiency strategies, and urban mobility innovations. Notable contributions include analyses of post-pandemic spatialities, carsharing dynamics, and smart energy systems' societal integration. He actively participates in interdisciplinary collaborations, policy dialogues, and public outreach on climate resilience and urban sustainability. Research highlights include over 120 publications, 21 projects since 2008, and leadership roles in major EU-funded initiatives. His advising includes supervising 3 PhD candidates exploring themes like smart home adoption and sustainable mobility.

Simon Bøghمشاهده پروفایل

دانشیار

• Deep Reinforcement Learning
• Space Robotics
• Industrial Robotics
• +۵ مورد دیگر

Simon Bøgh is an Associate Professor at the Department of Electronic Systems within The Technical Faculty of IT and Design at Aalborg University. His research focuses on Deep Reinforcement Learning applied to space robotics , industrial robotics , and industrial processes , emphasizing autonomous decision-making through trial-and-error learning and integration of human expert demonstrations. Key areas include robotics control systems, predictive analytics, and AI-driven automation. He leads or participates in high-impact projects such as RIACT: Radical Innovation of Adaptive Cobot Technology and CAPeX: Pionercenter for Accelerating P2X Materials Discovery . His work contributes to UN Sustainable Development Goals related to Industry and Production, leveraging Industry 4.0 technologies like IoT and predictive analytics. Education: Not explicitly stated in provided texts. Research Highlights: Development of reinforcement learning frameworks for planetary rovers (e.g., RLRoverLab), corrosion detection systems, and collaborative robot control. Dr. Bøgh has received prestigious awards, including the Novo Nordisk Foundation's Prize for Excellence in Technical Science Teaching (2025) and the IEEE iSpaRo 2024 Best Paper Runner-up Award . He actively engages in academic and industrial collaborations, delivering talks on AI in robotics and space exploration. His research group collaborates with industry partners and academic institutions globally, addressing challenges in autonomous systems , robotic manipulation , and smart manufacturing . Current lab activities include advancing reinforcement learning algorithms for space exploration and industrial process optimization.

Jonas Brusokasمشاهده پروفایل

پژوهشگر

• Machine Learning
• Internet of Things
• Data Compression
• +۶ مورد دیگر

Jonas Brusokas works as a researcher at the Department of Computer Science , Technical Faculty of IT and Design , Aalborg University. His research focuses on the intersection of Machine Learning , Internet of Things , and Energy Systems , particularly addressing energy flexibility and data compression challenges for IoT applications. Key research areas include time-series forecasting for energy systems, error-bounded lossy compression techniques, and data-driven modeling of heat pumps. His work is applied in smart energy grids, medical imaging, and extreme-scale computing environments. Recent publications highlight trends in device-independent flexibility measurement , model confidence-based forecasting , and IoT data compression for machine learning platforms. Collaborations span energy engineering, computer science, and medical imaging domains. Jonas has contributed to 8 peer-reviewed publications since 2019, with projects like Machine and Deep Learning for Flexible Energy (2020–2023) as Principal Investigator. His research involves partnerships with institutions in Denmark, Singapore, and Greece.

Ramoni Ojekunle Adeogunمشاهده پروفایل

دانشیار

• Wireless Communication Networks
• Artificial Intelligence for Communication
• 6G Network Development
• +۴ مورد دیگر

Ramoni Ojekunle Adeogun is an Associate Professor at the Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University. His research focuses on 6G wireless networks, AI-driven communication systems, and industrial automation, with expertise in channel modeling, propagation graph analysis, and IoT-based monitoring. Role: Project Leader for AI-Native User-Centric Air Interface for 6G (2023–2025) Collaborations: With G. Berardinelli, P. Mogensen, I. Rodriguez Research Highlights Advancing sub-millisecond latency in 6G networks Machine learning for IoT occupancy detection Polarimetric channel modeling via propagation graphs Dynamic channel allocation for industrial automation Publications Trends Over 85 publications spanning 2013–2025, with recent work on AI-native air interfaces, polarimetric channel modeling, and ultra-reliable low-latency communication for 6G. His studies integrate machine learning, stochastic modeling, and wireless propagation analysis. Grants & Projects Managing the EUR 6.8 million CENTRIC project (2025), focusing on AI-driven wireless innovation. Previously led interference prediction research (2019–2022) and contributed to IoT-based occupancy detection (2019).

Kjeld Svidtمشاهده پروفایل

دانشیار

• Building Information Modeling (BIM)
• Virtual Reality and Augmented Reality in Construction
• Digitalization in the Construction Industry
• +۴ مورد دیگر

Kjeld Svidt is an Associate Professor at the Department of the Built Environment , Faculty of Engineering and Science , Aalborg University , where he serves as the Head of the Construction Management and Building Informatics Research Group . His academic career spans decades, focusing on Building Information Modeling (BIM) , Virtual Reality , and Digitalization in Construction . Role: Associate Professor and Research Group Leader Department: Built Environment University: Aalborg University His research emphasizes integrating digital technologies into construction, including Virtual Design and Construction (VDC) and Hybrid Ventilation Systems . He leads projects like DDD Green (2022–2025), promoting sustainability, and IFC-modelserver (since 2004), enhancing data interoperability. His work bridges academic innovation with industry applications . Recent publications highlight Digital Twins for HVAC optimization and fault detection , leveraging machine learning and multiobjective algorithms . Awards include the Energy and Buildings Best Paper Award (2023) and The Chair's Award for Best Paper Presentation (2020). Projects: DDD Green, IFC-modelserver, Hybrid Ventilation Dataset: Danish high-resolution office building monitoring (2023) Media Mentions: Over 43 instances (2019–2023), including student-led construction initiatives

Daniel Ortiz Gonzaloمشاهده پروفایل

استادیار

• Agroecology
• Smallholder Agriculture
• Agroforestry
• +۷ مورد دیگر

Daniel Ortiz Gonzalo is an Assistant Professor and Guest Researcher at the University of Copenhagen's Department of Geosciences and Natural Resource Management, currently based at UC Davis. He holds dual PhDs in Agronomic Science (Montpellier SupAgro) and Climate Change (University of Copenhagen), an MSc in Ecosystem Restoration from Technical University of Madrid, and a BSc+MSc in Environmental Sciences. His research investigates farming-environment interactions through interdisciplinary approaches combining field experiments, remote sensing, machine learning, and participatory methods. Current work includes the TREES4CLIMA project developing agroforestry monitoring systems. Regional expertise covers humid tropics (East Africa, Southeast Asia, Latin America) and Mediterranean systems. Research focuses on: Agroecology, climate-smart agriculture, carbon/nitrogen cycling, greenhouse gas mitigation, and food value chain environmental impacts. Teaching includes graduate courses: Environmental Impact Assessment, Climate Change and Land Use, and Sustainable Agricultural Development. Publications (2019-2025) demonstrate consistent focus on sustainable agriculture, agroforestry mapping, climate adaptation strategies, and food system transformations across tropical regions, employing advanced geospatial and analytical methods.

Carlos M. Lima Azevedoمشاهده پروفایل

دانشیار

• Transportation Engineering
• Smart Mobility
• Urban Planning
• +۶ مورد دیگر

Carlos M. Lima Azevedo is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Transport Division, Intelligent Transport Systems Section within the Department of Technology, Management and Economics. He also serves as a Research Affiliate at MIT's ITSLab. His research focuses on mathematical modeling of human mobility, smart mobility services, and integrated transportation technologies. He has held roles including Research Scientist at MIT's ITSLab and Executive Director of MIT's Transportation Education Committee. Education includes a PhD from MIT (2014) and an MSc from LNEC (2008). Key projects include SimMobility (a simulation platform) and Tripod (sustainable travel incentives). Teaching includes courses on transportation systems and data analysis at MIT. His research interests span traffic simulation, safety analysis, and agent-based modeling. Recent work emphasizes equity in shared mobility, AI-driven traffic control, and urban sustainability. He collaborates on projects like Mobility of the Future and FMOD (Flexible Mobility On-Demand). His contributions include frameworks for automated mobility-on-demand systems and policy-sensitive models for transportation networks.

Ugur Soytasمشاهده پروفایل

استاد

• Energy Economics
• Environmental Policy
• Commodity Markets
• +۳ مورد دیگر

Prof. Ugur Soytas is a Professor and Head of the Climate Economics and Risk Management Section at the Technical University of Denmark (DTU). He leads research initiatives under the Climate and Energy Policy Division within the Department of Technology, Management, and Economics. His roles include co-editing Energy Economics and serving as an associate editor for Sustainable Production and Consumption . He focuses on interdisciplinary research addressing energy-economy-environment-society linkages and energy commodity markets, with over 13,000 citations and a strong presence in high-impact journals. Research interests span climate policy, commodity markets, societal well-being, and renewable energy. He has supervised 21 PhD students and contributed to international projects like Pv4Plants and INNO-SALT. His work aligns with UN Sustainable Development Goals, emphasizing sustainable energy transitions and climate mitigation strategies. Recent articles explore topics such as geopolitical risks' impact on carbon emissions, energy market dynamics, and the role of implicit discount rates in energy efficiency. Projects include evaluating public acceptance of carbon capture technologies and advancing CO₂ storage solutions. His research emphasizes empirical methods to address urgent global challenges. Key Collaborations: Active in international research networks, contributing to policy-relevant studies on energy systems and climate resilience. Grants & Projects: Involved in EU Horizon and national initiatives focusing on renewable energy, carbon capture, and sustainable development. Labs/Teams: Leads the Climate Economics and Risk Management Section, fostering interdisciplinary teams to tackle climate policy and energy market challenges.

Ilhan Aslanمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Artificial Intelligence (AI)
• Machine Learning
• +۶ مورد دیگر

Ilhan Aslan is an Associate Professor in the Department of Computer Science at Aalborg University (Denmark), affiliated with the Technical Faculty of IT and Design. His work focuses on Human-Centered Computing, with a strong emphasis on AI-driven interaction design, emotion-aware systems, and tangible/somaesthetic interfaces. He leads research in areas such as conversational AI, mobile computing, and smart environments, integrating machine learning with user-centered methodologies. Aslan's recent projects explore emotional speech processing, proactive AI agents, and creativity support tools, often bridging technical innovation with human well-being applications. His research spans over two decades, with notable contributions to mobile navigation systems (e.g., Bum Bag Navigator), gesture-based interaction, and ambient intelligence. Media coverage highlights his work on AI solutions for COPD patients and stress management applications. Aslan's approach combines rigorous technical development with ethnographic and participatory design practices, ensuring ethical and user-centric outcomes. His lab collaborates across disciplines, addressing challenges in HCI, AI ethics, and sustainable computing. Key Research Themes : Emotion-Aware AI, Human-AI Collaboration, Tangible Interaction, Mobile Health, Interactive Machine Learning Notable Projects : 'Feel my Speech' (haptic emotion conversion), 'BEHAVE AI' (ethical agent design), and somaesthetic smarthome systems Media Impact : Featured in 400,000+ Danes-relevant health tech stories and COPD patient support innovations Aslan's publications reflect a prolific trajectory from early mobile learning platforms (2000s) to cutting-edge generative AI and multimodal systems. His work consistently prioritizes real-world applicability through iterative prototyping and user studies, making him a key figure in both academic and applied HCI domains.

Nicolaj Søndberg-Jeppesenمشاهده پروفایل

مدرس پاره‌وقت

• Bayesian Networks
• Cyber-Physical Systems
• Healthcare Informatics
• +۴ مورد دیگر

Nicolaj Søndberg-Jeppesen is a Part-Time Lecturer at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on Bayesian networks, cyber-physical systems, and their applications in healthcare, industrial diagnostics, and decision support systems. Key research interests include: Development of Bayesian network models for predictive maintenance and health monitoring in industrial systems Integration of operational data into continuous improvement frameworks Application of probabilistic graphical models in healthcare logistics and emergency management Design of smart manufacturing architectures for diagnostics and predictive maintenance Notable projects include: Animated Computer Games (ongoing since 2010) Extending the scope of graphical models for decision problems (ongoing since 2010) His recent work emphasizes: Patient flow prediction in emergency departments Risk assessment in home care deliveries Object-oriented Bayesian networks for component-level diagnostics Publications span applications in healthcare informatics, industrial engineering, and game theory, with a focus on practical implementations of probabilistic models.

Fiona B Mulveyمشاهده پروفایل

پژوهشگر

• Computational auditory modeling
• Machine Learning
• Artificial Intelligence
• +۷ مورد دیگر

Fiona B Mulvey is a Senior Researcher in the Department of Health Technology at the Technical University of Denmark (DTU), specializing in the Hearing Systems Section. Her work focuses on computational auditory modeling and its applications in assistive technologies. Her research spans multiple disciplines with a strong emphasis on human-computer interaction for visual and auditory assistance. Key areas include: Computational auditory modeling Machine Learning applications in assistive technologies Virtual and Augmented Reality systems for medical applications Low vision aids and smart glasses technology User environment adaptation and individual user needs Dr. Mulvey's recent publications demonstrate a clear focus on applying advanced computing techniques to solve technical challenges in vision and hearing assistance. Her work bridges computer science with practical medical applications, particularly in developing innovative solutions for people with visual impairments. Dr. Mulvey leads the AL-EYE project focused on developing visual aids, demonstrating her commitment to translating research into practical assistive technologies. Her collaborative approach is evident in her work with colleagues across multiple disciplines to address complex challenges in assistive technology development. Her research contributes to UN Sustainable Development Goals related to health and well-being through the development of accessible technologies that improve quality of life for people with sensory impairments.

Yun Yuمشاهده پروفایل

پژوهشگر ارشد

• Microgrid Technology
• Renewable Energy Systems
• Power Electronics
• +۶ مورد دیگر

Dr. Yun Yu is a Research Fellow at Aalborg University's Faculty of Engineering and Science , specializing in Electric Power Systems and Microgrids within the AAU Energy research group. With a Ph.D. in Energy Technology (awarded May 2023), Yu's work focuses on microgrid stability , grid-forming converters , and renewable energy integration , particularly in offshore wind and earthquake-prone regions. Education: Ph.D. in Energy Technology (Aalborg University, 2023) Yu's research bridges power electronics and control systems , exemplified by projects like "Harmonic Modeling and Stability Analysis of Multi-Vendor Grid-forming Wind Power Plants" (2024–2027) and "LastWind: Large-Scale Wind Integration in Ethiopia" (2023–2026). Their 2025 publications in IEEE Transactions on Industrial Electronics and IEEE Open Journal of Power Electronics highlight innovations in fractional-order regulators and power flow solvability for EV-integrated grids. Recent work trends reveal dual expertise in technical energy systems and engineering education research , with contributions to problem-based learning (PBL) frameworks and academic leadership development . Notable collaborations include mentoring roles with Prof. Josep M. Guerrero and Prof. Juan C. Vasquez across Denmark, Ethiopia, and Indonesia projects.

• Virtual Reality
• Human-Computer Interaction
• Object Selection in VR
• +۴ مورد دیگر

Difeng Yu is a Postdoc in the Human-Centred Computing section at the Department of Computer Science, University of Copenhagen. Located at Sigurdsgade 41, Copenhagen N, Yu contributes to advancing VR interaction techniques through empirical and theoretical research. His work spans multiple subfields of immersive technology, with a particular focus on selection methods and user embodiment. Research Interests: Virtual Reality interaction design Human-Computer Interaction (HCI) theory Movement mapping and motor learning 3D object selection techniques Haptic feedback in immersive environments Recent publications demonstrate a progression from foundational VR interaction challenges (2018-2019) to advanced applications in consumer VR (2022-2024) and cutting-edge research on perceptual illusions (2025). Key trends include the development of predictive models for selection tasks, exploration of multi-modal interaction techniques, and evaluation of user experience metrics like presence and engagement.

Rongling Liمشاهده پروفایل

دانشیار

• Smart Cities
• Smart Buildings
• Energy Resilience
• +۵ مورد دیگر

Rongling Li is an Associate Professor at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). His research focuses on smart energy systems, smart cities, and building energy flexibility, emphasizing modeling and data-driven approaches. He leads projects like SEEDS and IEA EBC Annex 82, contributing to resilient low-carbon energy systems. He has supervised seven PhD graduates and currently advises two students on energy flexibility topics. Key affiliations include chairing the IEA EBC Annex 82 and serving on the Built4People board under Horizon Europe. His expertise spans energy resilience, building physics, and machine learning applications. Notable awards include the 2019 Best Presentation Award and a 2021 research fellowship at the University of Tokyo. His research portfolio includes 55 publications across journals like Applied Energy and Energy and Buildings. Current projects involve data-driven control for smart energy systems and energy management in sports facilities. He actively reviews PhD theses at institutions such as UC Dublin and Chalmers University.