جست‌وجوی استاد و پژوهشگر

Yushuai Liمشاهده پروفایل

استادیار

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

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

Ashraf Fathi Khalil Sulaymanمشاهده پروفایل

دانشیار

• Renewable Energy Systems
• Power System Operation and Control
• Artificial Intelligence in Energy
• +۳ مورد دیگر

Ashraf Fathi Khalil Sulayman is an Associate Professor at the Department of Engineering Technology and Didactics Energy Technology and Computer Science, DTU Engineering Technology, Technical University of Denmark (DTU). He holds a PhD from the University of Birmingham (2012), and BSc/MSc degrees from the University of Benghazi, Libya (2000/2006). Previously, he served as Head of the Electrical Engineering Department at the University of Benghazi (2012–2015) and was an Assistant Professor at Universiti Teknologi Brunei (2018–2021). His research focuses on renewable energy systems, microgrid optimization, and AI-driven power system control. Key areas include time delay systems, PV integration, and machine learning applications in grid management. His work aligns with UN Sustainable Development Goals, particularly energy sustainability and climate action. Education: PhD, University of Birmingham, UK (2012) MSc, University of Benghazi, Libya (2006) BSc, University of Benghazi, Libya (2000) Research Interests: His interdisciplinary work bridges electrical engineering and sustainable energy, emphasizing: - Renewable energy systems integration - Smart grid technologies - AI/ML for power system control - Microgrid stability and optimization - Photovoltaic system performance analysis Recent Research Trends (2025): Publications highlight advancements in hybrid microgrid control using neural networks, DC microgrid communication protocols, and multi-objective optimization for inverters. Studies also analyze PV impact on distribution networks and model Morocco's future energy landscape, emphasizing renewable dominance and carbon reduction strategies. Advising & Grants: No specific grants or student advisees explicitly listed in the provided text. Labs/Teams: Not explicitly mentioned in the text.

Devarajan Ramanujanمشاهده پروفایل

دانشیار

• Sustainable design
• Sustainable manufacturing
• Circular economy
• +۷ مورد دیگر

Devarajan Ramanujan is an Associate Professor in the Department of Mechanical and Production Engineering at Aarhus University, Denmark, under the school of AU Engineering. He leads the Design and Manufacturing Section and directs the Life Cycle Design and Manufacturing Research Group, focusing on sustainability and circular economy integration in engineering systems. He joined Aarhus University in 2017 after completing a postdoctoral fellowship at MIT and earning his PhD from Purdue University. Research Interests: His work centers on sustainable design, sustainable manufacturing, circular economy, life cycle assessment, and digital twins. He develops computer-aided tools to embed environmental and circularity assessments early in product and process design. The research is practice-oriented and conducted in collaboration with manufacturing industries, standards bodies, and innovation clusters. Publication Trends: His recent publications (2017–2024) show a consistent focus on integrating sustainability into engineering design and manufacturing. Key themes include life cycle assessment visualization on CAD models, circular disassembly frameworks, digital threads for circular economy, and multiregional analysis of critical material supply chains (e.g., dysprosium). The work spans environmental engineering, industrial systems, and digital manufacturing. Scientific Awards: Award from the American Society of Mechanical Engineering (ASME) Award from the Association of EcoDesign Societies in Japan Award from Aarhus University Award from Purdue University Advising and Grants: While specific student advisees are not listed, he leads a research group and has secured multiple competitive research grants. His funded projects include ACCURATE (2024–2026), Building the Digital Thread (2021–2025), and Realizing Circular Production (2022–2024), among others, indicating active mentorship and project leadership. These projects are supported by national and international funding bodies, though specific agencies are not named. Labs and Teams: He leads the Life Cycle Design and Manufacturing Research Group, which develops computational methods for sustainable engineering. The group emphasizes collaboration with industry and real-world implementation, suggesting strong industrial linkages and applied research focus.

Sebastian Bro Damsgaardمشاهده پروفایل

پژوهشگر

• Wireless Communication
• 5G Networks
• Wi-Fi Technologies
• +۶ مورد دیگر

Sebastian Bro Damsgaard is a Researcher at the Department of Electronic Systems within The Technical Faculty of IT and Design at Aalborg University in Denmark. His research focuses on advancing wireless technologies for industrial and rural applications, with expertise in 5G, Wi-Fi 6, multi-connectivity solutions, and IoT integration. He actively contributes to projects funded by Innovation Fund Denmark, including cybersecurity for power grids and autonomous robotic systems. Research Interests: His work spans wireless communication paradigms, emphasizing: Industrial connectivity (Wi-Fi 6, 5G reliability in factories) Rural network solutions (satellite-terrestrial integration) IoT applications in agriculture and infrastructure Edge computing and cybersecurity for critical systems Publication Trends: Recent articles (2024-2025) demonstrate empirical analyses of multi-technology networks (5G/Wi-Fi/satellite) in challenging environments. Dominant themes include scalability testing, path loss modeling for sensors, and machine learning-enhanced connectivity for IoT use cases in industrial/rural settings. Projects & Collaboration: Key involvements: CyberPE: Power Sentinel (2024-2025): Safeguarding power grids against cyber-physical threats. 5G Enabled Autonomous Mobile Robotic Systems (2022-2024): Enhancing robotic efficiency via 5G connectivity. He collaborates with cross-disciplinary teams at Aalborg University, focusing on real-world wireless deployments.

• Applied Artificial Intelligence
• Machine Learning
• Computer Vision
• +۱۳ مورد دیگر

Christos Tachtatzis is a Professor in Applied Artificial Intelligence in the Department of Electronic and Electrical Engineering at the University of Strathclyde. He rejoined the university in 2011, was awarded a Chancellor’s Fellow in 2016, promoted to Senior Lecturer in 2018, Reader in 2021, and Professor in 2024. He leads key strategic initiatives including the Measurement, Digital and Enabling Technologies (MDET) Strategic Theme, co-directs the Laboratory for Innovation in Autism, and serves as Strathclyde lead for the UKRI AI CDT SUSTAIN. He is also a member of the HealthTech Cluster and advises The Data Lab and the Scottish Government on AI applications in agriculture and natural resources. Research Interests: His research spans applied AI with focus on computer vision, multimodal learning, domain adaptation, and explainability. These are applied to sustainable agri-food systems (livestock and arable), digital health, advanced manufacturing, and cybersecurity. His technical expertise includes deep learning, time series analysis, anomaly detection, remote sensing, hyperspectral imaging, and edge/cloud computing analytics. Recent Research Trends: His recent publications reflect a strong trend toward interdisciplinary AI applications, including environmental monitoring via satellite imagery inpainting, urban CO2 emission modeling, synthetic data generation for power grids, infant behavioral analysis, and precision livestock farming using monocular depth estimation. These works highlight his focus on real-world, data-driven solutions across environmental, health, and industrial domains. Scientific Awards: Innovate UK KTP Engineering Excellence Award (2021) Finalist, Herald Higher Education Awards – Outstanding Business Engagement (2022) Strathclyde Team Medal for Innovation in Autism (2018) SIN 2014 Best Paper Award Advising and Grants: He is actively involved in supervising research and leading externally funded projects from UKRI, InnovateUK, and H2020. He is Principal Investigator on multiple grants including Deep Learning for Woodland Soil Biodiversity, FLORA-SAGE (federated learning in agriculture), and the UKRI AI CDT SUSTAIN. He is a co-investigator on projects in digital dairy, infant interaction, and species assessment. He welcomes PhD students and regularly advertises opportunities through SUSTAIN and his professional networks. Labs and Teams: He co-directs the Laboratory for Innovation in Autism and leads the MDET Strategic Theme. He is embedded in the SUSTAIN CDT and collaborates extensively with the HealthTech Cluster, contributing to interdisciplinary research at the intersection of AI, engineering, and societal challenges.

Baoze Weiمشاهده پروفایل

دانشیار

• Microgrid Control
• Power Electronics
• Renewable Energy Integration
• +۵ مورد دیگر

Baoze Wei is an Associate Professor at Aalborg University's Department of Electric Power Systems and Microgrids, part of the Faculty of Engineering and Science. His research focuses on advanced control strategies for power electronics, microgrid stability, and energy management systems. He leads and collaborates on projects such as the Digital Twin-based Reliability Framework for Aviation Systems and Holistic Optimization of Green Fuel-Powered Microgrids. Key contributions include work on distributed energy systems, fault-tolerant architectures, and predictive maintenance for power electronics. His research emphasizes practical applications in renewable integration, smart grids, and industrial electrification. Wei has supervised one PhD student, Q. He, and contributed to projects funded by entities like Horizon JU and Huawei. Notable collaborations include work on hybrid-electric aircraft systems (HECATE) and advanced control algorithms for distributed converters. His research spans technical areas such as voltage source inverters, uninterruptible power systems (UPS), and DC shipboard microgrids. His publications reflect expertise in model predictive control, energy trading strategies, and condition monitoring. Current research trends include data-driven lifetime prediction for power electronics components and optimization of multi-energy systems. He actively participates in international conferences, contributing to both theoretical advancements and real-world system implementations.

Cedomir Stefanovicمشاهده پروفایل

استاد

• Wireless Communication
• 5G/6G Networks
• Internet of Things (IoT)
• +۷ مورد دیگر

Cedomir Stefanovic is a Professor in the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design. His research focuses on edge computing, wireless networking, 5G/6G technologies, IoT, smart grids, and bionic limbs. He leads projects like CLIMB (Cloud-connected bionic limbs) and 5G-connected assistive robots, emphasizing assistive robotics and medical technology integration. His work spans random access protocols, latency optimization, and energy-efficient communication systems. With 129 publications (2025: 12; 2024: 8; 2023: 12), his research addresses challenges in industrial IoT, smart grids, and UAV-assisted communication. He has supervised 3 PhD students and actively collaborates internationally. Notable contributions include advancements in deterministic multiple access patterns, AoI-aware scheduling, and bionic limb connectivity. His research is published in IEEE journals and conferences. He hosts guest lecturers and has been featured in media discussions on wireless innovation and smart energy systems. Education: While specific academic credentials are not detailed, his role as a Professor at Aalborg University indicates advanced degrees in electrical engineering or computer science. Research Interests: 5G/6G and IoT networking Edge computing and latency-critical systems Wireless communication protocols (e.g., tree algorithms, NOMA) Smart grid optimization and microgrids Bionic limbs and assistive robotics Age of Information (AoI) minimization strategies Publications: Over 129 papers (2025:12; 2024:8; 2023:12), emphasizing trends in 5G-enabled prosthetics, deterministic access patterns, and industrial IoT optimization. Recent work explores UAV-assisted sensing, D2D communication for smart grids, and deep learning for industrial systems. Funding & Projects: CLIMB (2022–): PI for cloud-connected bionic limbs WindMill (2019–): Machine learning for windmill communication INCOMING (2020–2022): Massive-scale communication innovation Labs/Teams: Edge Computing and Networking group, Classique-Center for Classical Communication in the Quantum Era.

Hossam Mohamed Faragمشاهده پروفایل

استادیار

• Industrial Internet of Things
• Wireless Sensor Networks
• 5G Networks
• +۵ مورد دیگر

Hossam Mohamed Farag is a Tenure Track Assistant Professor in the Department of Electronic Systems at Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on edge computing, 5G networks, industrial IoT, and wireless sensor networks, with an emphasis on optimizing network protocols and resource allocation for mission-critical and smart grid applications. Research Interests: Edge computing and network architecture 5G and beyond communication systems Smart grid communication protocols Machine learning for network optimization Device-to-device (D2D) communication Recent Work Trends: His 2023-2024 publications emphasize Age-of-Information (AoI) aware protocols, multi-access techniques (NOMA/RSMA), and deep learning-driven solutions for industrial IoT and smart grid challenges. Notable contributions include AoI-aware routing strategies for neighborhood area networks and backlog-aware D2D protocols for wireless sensor networks. He leads the 2023-2026 PhD project on 5G-connected assistive robots, collaborating with experts in bionics and robotics. This project explores 5G-enabled assistive technologies for healthcare and human-robot interaction. Key Collaborations: Works with institutions like Aalborg University's Department of Electronic Systems and external partners on 5G, IoT, and edge computing initiatives.

Torben Bach Pedersenمشاهده پروفایل

استاد

• Data Engineering
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Professor Torben Bach Pedersen at Aalborg University's Department of Computer Science within The Technical Faculty of IT and Design is a leading expert in Data Engineering, Artificial Intelligence, and Energy Systems. With over 394 publications and 19 completed projects, he directs research at the Daisy – Center for Data-intensive Systems and leads innovations in energy flexibility and smart grid technologies. Key research areas: Data Warehousing, AI/ML, Energy Systems, Smart Grids Major projects: domOS (Smart Building OS), FEVER (Virtual Power Plants), DiCyPS (Cyber-Physical Systems) His research spans data-intensive systems, AI applications in energy management, and smart infrastructure development. Recent work focuses on transformer-based network AI and energy flexibility metrics. Scientific recognition includes: Æresdoktor (Honorary Doctor) at TU Dresden (2021) Best Paper Award Runner-Up (2019) WWW 2017 Best Demo Award Best Poster Award World Smart Grid Forum (2013) Member of Danish Academy of Technical Sciences (2013) As principal investigator and supervisor in 17 PhD projects, he advances AI-driven solutions for 6G wireless systems, smart buildings, and energy market optimization.

Tomislav Dragicevicمشاهده پروفایل

استاد

• Power Electronics
• Applied Machine Learning
• Energy Systems
• +۵ مورد دیگر

Tomislav Dragicevic is a Full Professor at the Technical University of Denmark (DTU) , where he leads the Smart Converter Lab and coordinates the industry-anchored research initiative DRIVE-IT. He is an IEEE Fellow , Clarivate Highly Cited Researcher (2023 & 2024), and founder of PHLIT, a spinout commercializing grid services via intelligent power converters. Research Interests : His work focuses on power electronic converters and drives , digitalization , flexibility , and applied machine learning , enabling secure deployment of converter-dominated systems in EV charging, electrolyzers, water networks, and industrial drives. Article Trends : Recent publications highlight advancements in predictive control , neural networks for power electronics, ageing forecasting in semiconductors, virtual power plants , and EV charger-grid integration . Keywords span Power Electronics , Machine Learning , and Smart Grids . Awards : IEEE IES Early Career Award, Alexander von Humboldt Fellowship, Robert Mayer Energy Conservation Award, Končar Award for Best Industrial Ph.D. Thesis. Advising & Funding : Supervised 15 Ph.D. students and 6 postdocs, with €20 million+ in competitive funding, including the DFF Sapere Aude Research Leader project MAGIC and the HEART initiative for high-efficiency EV chargers. Labs & Teams : Founded the Smart Converter Lab at DTU and leads DRIVE-IT, a collaboration with Danfoss Drives. His group pioneered self-learning diagnostics for power converters and edge-deployed neural networks for predictive control.

Simone Parisiمشاهده پروفایل

پژوهشگر ارشد

• Thermal Energy Storage
• Turbomachinery
• Cryogenic Energy Storage
• +۲ مورد دیگر

Simone Parisi is a Postdoctoral Researcher at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU), specializing in thermal energy systems and turbomachinery. He completed his PhD at DTU in 2024 with research on turbomachinery for packed-bed thermal energy storage systems under Professor Fredrik Haglind's supervision. His research focuses on: Thermal Energy Storage (including cryogenic and pumped thermal systems) Advanced Turbomachinery design and modeling Power cycle optimization (Rankine, Brayton, and hybrid cycles) Two-phase flow applications for waste heat recovery Numerical methods for compressor and turbine performance prediction Recent publications demonstrate deep expertise in energy storage integration, with emphasis on liquid air systems coupled with solar or district cooling, and innovative two-phase turbine modeling. His work bridges theoretical non-dimensional analysis with practical industrial applications in geothermal and waste heat utilization. Dr. Parisi actively contributes to major EU-funded projects including EMPOWER (geothermal/waste heat power generation) and Best4Grid (battery-grid stability), collaborating with Professor Haglind's research group. Current work explores zero-dimensional compressor models and hybrid storage-district energy synergies.

Kristoffer Negendahlمشاهده پروفایل

دانشیار

• Sustainable Building Design
• Energy Modeling
• Life Cycle Assessment (LCA)
• +۷ مورد دیگر

Kristoffer Negendahl is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Department of Civil and Mechanical Engineering Digital Building Technologies. He holds a Ph.D. in sustainable building design and engineering. His research focuses on developing interoperable tools for sustainable building analysis, energy modeling, daylighting, and lifecycle assessment (LCA), with an emphasis on accessibility for non-experts. Prior to DTU, he worked at Bjarke Ingels Group (BIG) as lead engineering consultant and co-founded Procedural.build, a software company advancing computational design tools. His work contributes to UN Sustainable Development Goals related to climate action and sustainable cities. **Research Interests**: Consequence-Based Design, integrated dynamic models, parametric design, computational collaborative modeling, and fire safety engineering. Key contributions include advancing parametric modeling for low-emission urban design and defining energy flexibility metrics for building systems. **Projects**: Leading initiatives like OpenCirc (open-source tools for circular construction) and FireBIM (fire safety engineering via BIM). Supervised PhD students in resilient renovations and BIM automation. **Awards**: 2023 Bevica Creator Award for contributions to digital design and sustainability tools. **Activities**: Organized workshops on circular construction and presented at industry events. Media contributions include discussions on parametric design and architectural programming.

Rohit Kothariمشاهده پروفایل

پژوهشگر

• Thermal Energy Storage
• Packed Bed Systems
• Phase Change Materials
• +۳ مورد دیگر

Rohit Kothari serves as a Researcher in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), contributing to sustainable energy solutions through advanced thermal systems research. His work directly supports UN Sustainable Development Goals in clean energy infrastructure. His core expertise spans Thermal Energy Storage Systems , Packed Bed Modeling , and Phase Change Material Applications , with specialized focus on Numerical Heat Transfer Analysis and Battery Thermal Management . Research methodologies emphasize computational fluid dynamics and transient thermal modeling to optimize energy storage efficiency, particularly in molten salt systems and metal foam composites. Recent publications (2024-2026) reveal concentrated research on thermal instability mitigation in high-temperature storage, constrained melting phenomena in PCM capsules, and battery thermal management under extreme discharge conditions. Key trends include computational optimization of fin geometries for melting enhancement and cold packed-bed heat transfer prediction. Kothari actively contributes to three major energy projects: Best4Grid (Nordic vehicle-grid integration), LAES-Egypt (cryogenic storage for Egypt), and GridScale (large-scale power-to-power storage). These initiatives involve cross-institutional collaboration with industry partners to develop grid-stable renewable energy solutions.

Björn Andresenمشاهده پروفایل

استاد

• Power Systems
• Renewable Energy
• Electrical Engineering
• +۵ مورد دیگر

Björn Andresen is a Professor at the Department of Electrical and Computer Engineering at Aarhus University, specializing in Electrical Energy Technology. His primary affiliation is the university, with additional affiliations not explicitly detailed. He is actively involved in research and standardization related to power systems, renewable energy integration, and grid compliance. Research Interests: His work focuses on advanced control systems for power electronics, grid stability enhancement, wind energy systems, and the application of artificial intelligence in energy management. He has contributed significantly to international standards like IEC 61400-21-4, addressing grid compliance for wind turbines and power-to-X plants. Key Projects: He leads or contributes to projects such as the National Energy System Transition (2024–2028), Next Energy (2023–2026), and Upscaling Key Power-to-X SOEC Electrolysis Solutions (2022–2023). These projects aim to advance energy transition technologies, grid resilience, and renewable energy integration. Publications Trends: His recent work emphasizes hybrid power plants, digital twins for energy systems, and adaptive control strategies using AI. He collaborates extensively on fractional-order control systems and transient stability improvements in multi-machine power grids. Grants and Labs: His research is supported by major funding initiatives, though specific grant details are not provided. His lab focuses on experimental setups for testing wind turbine components and grid compliance under real-world conditions.

Nazkhanom Rezaeiمشاهده پروفایل

دانشیار

• Power System Protection
• Distributed Generation
• Neural Networks in Power Systems
• +۳ مورد دیگر

Nazkhanom Rezaei is an Associate Professor at the Department of Electrical and Computer Engineering, Aarhus University, Denmark. Her primary affiliation is within the Electrical Energy Technology research group. She specializes in power system protection, distributed generation integration, and optimization algorithms for smart grids. Her work leverages neural networks and advanced computational techniques to address challenges in modern grid infrastructure. Research interests focus on fault diagnosis in distribution systems, optimal power flow with renewable integration, and distributed generation allocation. She has contributed to projects involving dynamic line rating optimization and grid stability enhancement through neural network applications. Selected publications span from 2009 to 2023, emphasizing fault location, protection schemes, and optimization methodologies. Her work frequently addresses the impact of inverter-based resources and distributed generation on grid reliability and protection systems. Rezaei is affiliated with the Faculty of Engineering and collaborates with the university's laboratories focused on energy technology and smart grid solutions. She maintains active research in emerging technologies for grid modernization and sustainable energy systems.