Grid Computing Professors and Supervisors in Denmark

Luciana Tavaresمشاهده پروفایل

دانشیار

University of Southern DenmarkDenmark

Luciana Tavares is an Associate Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark. Her research focuses on advanced capacitor technologies, dielectric materials, and additive manufacturing processes, with significant contributions to polymer electrolyte membrane fuel cells, nanocomposite thin films, and surface engineering. Institute of Mechanical and Electrical Engineering, University of Southern Denmark Center for Industrial Electronics Her research spans dielectric material optimization , metallized film capacitors , and additive manufacturing of metallic components , aiming to improve energy storage efficiency, mechanical integrity, and surface properties in power electronics. She explores the interplay between microstructure and performance in 316L stainless steel and develops surfactant-modified nanocomposite capacitors. Recent work includes helium-ion irradiation for dielectric enhancement , flow plate roughness in fuel cells , and high-voltage aluminum polymer capacitors . Her projects are supported by foundations like Norlys Vækstpulje and Villum Experiment. Scientific Awards : Villum Grant - Villum Experiment (2021) She supervises projects on dielectric properties , metallization ratios , and UV treatment of biaxially oriented polypropylene , while participating in conferences like PCIM Europe and Hydrogen & P2X. Collaborations include institutions in Germany and Denmark, with expertise in nanofibers, thin films, and surface science.

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Emad Samuel Malki Ebeidمشاهده پروفایل

استاد

University of Southern DenmarkDenmark

Robotics
Embedded Systems
Smart Grids
+۳ مورد دیگر

Emad Samuel Malki Ebeid is a Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark, specializing in robotics, drone technology, and power line inspection systems. His work bridges embedded systems, FPGA acceleration, and smart grid applications. PhD in Computer Science, University of Verona (2014) Postdoc in Electrical and Computer Engineering, Aarhus University (2016) Research interests focus on robotics , UAV autonomy , and power line inspection , with a strong emphasis on embedded systems and magnetic gripper design . Articles highlight trends in mmWave radar , GPU/FPGA acceleration , and drone swarm coordination for infrastructure maintenance. Scientific contributions include: IEEE Senior Member PI and Coordinator roles in EU Horizon Europe projects (Robots4Green, SPADE) Development of AERIAL-CORE and Drones4Safety frameworks Supervision of PhD students V. D. Hoang , N. H. Malle , and F. F. Nyboe Lab and team involvement spans the Aalborg Robotics 10-year seminar and special sessions at the Euromicro DSD conference. Media features include TV 2 News and 2200 News (2025) on drone-based power line maintenance.

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Irma Kveladzeمشاهده پروفایل

استادیار

Aalborg UniversityDenmark

Dr. Irma Kveladze is a Tenure Track Assistant Professor at Aalborg University's Technical Faculty of IT and Design, specifically within the Department of Sustainability and Planning. Her research focuses on geoinformatics, earth observation, and urban mobility solutions. Current Affiliation: Aalborg University (Copenhagen campus), Technical Faculty of IT and Design Research Themes: Urban mobility, migration patterns, spatial data visualization, mixed reality geospatial applications Her work involves advanced spatial analysis and innovative cartographic representations, recently developing frameworks for micro-mobility integration in urban contexts through the PROMISE project. She contributes to mixed reality usability evaluation standards and analyzes digital communication networks across European countries. Key projects include: PROMISE (2025-2028): Principal Investigator for car dependency reduction through smart policy AquaINFRA (2024): Project participant in data infrastructure development She serves as peer reviewer for journals like Sustainability and ISPRS International Journal of Geo-Information , and participates in organizations such as AGILE and EuroSDR.

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Carsten Skovmose Kallesøeمشاهده پروفایل

استاد

Aalborg UniversityDenmark

Carsten Skovmose Kallesøe is a Professor at the Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University. His work focuses on control systems, water distribution networks, and sustainable energy integration. Current Role: Professor (Department of Electronic Systems) Key Research Areas: Stochastic Model Predictive Control, Sanitation Networks, Water Distribution Systems, and Photovoltaic Energy Optimization Projects: Led research on decentralized control architectures, combined sewer overflow management, and adaptive pressure/leakage estimation in water supply systems Kallesøe applies advanced control theories to real-world challenges in hydraulic networks. Recent work includes integrating reinforcement learning for decentralized control systems and optimizing photovoltaic panel deployment in water distribution infrastructure. His publications (2005–2025) span topics like fouling characterization using the 3ω method, correlated equilibrium control strategies, and energy-efficient district heating pipe supervision. While specific awards aren't listed, his leadership in projects like the SAMPLE-driven adaptive management system demonstrates significant impact.

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Martin Frandsenمشاهده پروفایل

پژوهشگر

Aalborg UniversityDenmark

Martin Frandsen is a Researcher at Aalborg University 's Department of the Built Environment , within the Faculty of Engineering and Science. His work focuses on energy-efficient building design , indoor environment , domestic hot water systems , and building performance simulations , combining laboratory/field measurements with computational methods. Education: Civil Engineer, MSc in Indoor Climate and Energy (2016-2021) Key Collaborations: Project PRELUDE (2020-2024), ORCID holder His research in building energy systems and hydraulic network optimization is reflected in 13 publications (2022-2025), with 5 in 2024 alone. He specializes in smart meter data analysis and district heating integration , producing datasets with sub-hourly monitoring of office buildings. Frandsen's teaching involves laboratory experiments on indoor environments and building energy simulation , mentoring bachelor/master groups. He has contributed to 10 research datasets and collaborated with 12+ peers on energy informatics and NZEB buildings.

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Markus Schafferمشاهده پروفایل

پژوهشگر

Aalborg UniversityDenmark

Markus Schaffer is a Researcher at Aalborg University, affiliated with the Department of Construction, Urban and Environmental Engineering under the Faculty of Engineering and Science. His work focuses on leveraging commercial smart heat and water meter data to drive building-specific renovation strategies, integrating these datasets with existing building information to create actionable insights for the scientific community. PhD-level contributions to energy data integration Automated disaggregation of space heating and domestic hot water demands at city scale Non-intrusive large-scale occupancy detection via water meter analytics Advanced clustering for energy data distillation His research portfolio extends to school renovation concepts, where he explores double-skin facades with diffuse ceiling ventilation through parametric simulations. He applies machine learning to Indoor Environmental Quality sensor data collaboration, and teaches master's courses in IT System Development and Sensitivity/Uncertainty Analysis. 2025: Residential Household Dataset publication 2024: 4 peer-reviewed journal articles across Energy, Data in Brief, and REHVA Journal 2023: 2 datasets and 3 conference participations 2022: District Heating data time-series publication Markus' scientific contributions align with UN Sustainable Development Goals 7 (Affordable Energy) and 11 (Sustainable Cities), with ongoing roles in IEA EBC Annex 84 (2020-2025) and FOREFRONT (2021-2024) projects.

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René Rydhof Hansenمشاهده پروفایل

دانشیار

Aalborg UniversityDenmark

René Rydhof Hansen is an Associate Professor at the Department of Computer Science , Aalborg University , affiliated with the Technical Faculty of IT and Design . His research focuses on cybersecurity , formal methods , and program analysis . Academic Rank: Associate Professor Institution: Aalborg University Department: Computer Science Research Interests: He specializes in security modeling , embedded systems security , and formal verification . His work includes analyzing side-channel vulnerabilities, secure resource sharing, and full-stack cybersecurity frameworks for defense. Recent Publications (2024): Focus on Datalog program verification , DTLS protocol attacks , bit-flip impacts , and security modeling using tools like Isabelle and formal methods. Scientific Awards: EuroSys Test of Time Award (2018) Projects: Leads initiatives like Foundations of Secure Resource Sharing and contributes to Full-Stack Cybersecurity for Defense and Security by Design in Digital Denmark .

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Arega Getaneh Abateمشاهده پروفایل

پژوهشگر ارشد

Technical University of DenmarkDenmark

Arega Getaneh Abate serves as a Postdoctoral Fellow at DTU Management, Technical University of Denmark, with primary affiliations in the Department of Technology, Management and Economics. His institutional placement includes: Section for Energy Economics and Modelling Division for Climate and Energy Policy Based at Production Square, Building 424, Room 117 in Kgs. Lyngby, Denmark, he operates at the nexus of energy systems analysis and economic policy development. Abate's research program centers on quantitative approaches to energy transition challenges, specifically: Stochastic optimization for electricity market operations under uncertainty Renewable energy integration mechanisms and grid management Demand response program design and dynamic pricing AI-driven platforms for electric mobility and energy systems Contract theory applications in carbon-constrained markets Economic modeling of climate policy impacts His publication trajectory (2016-2025) reveals a methodological evolution from panel data analysis in development economics toward advanced computational techniques in energy markets. Recent work demonstrates increasing sophistication in handling uncertainty through stochastic programming and machine learning, with consistent focus on market design for high-renewable scenarios. The 2025 AI-platform study represents the current frontier of his research integrating mobility, generation, and grid systems. Within DTU's Division for Climate and Energy Policy, Abate contributes to a research ecosystem focused on evidence-based solutions for decarbonization, participating in cross-disciplinary projects addressing the economic dimensions of sustainable energy transitions.

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Sebastian Basterrechمشاهده پروفایل

پژوهشگر

Technical University of DenmarkDenmark

Sebastian Basterrech is a Postdoctoral Researcher (Researcher) in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), actively contributing to interdisciplinary research at the machine learning-engineering interface. His work spans materials science, energy systems, and climate science with strong international collaborations. Research interests focus on: Physics-informed machine learning for additive manufacturing process optimization Time series forecasting of seasonal extremes and energy consumption using AutoML Topological data analysis for environmental landscape shift detection Neural network-enhanced materials characterization via instrumented indentation Recent publications (2024-2025) reveal a cohesive trajectory: integrating domain physics with data-driven models across diverse applications. Key trends include advancing continual learning for non-stationary energy data, developing topology-based change detection for environmental monitoring, and creating hybrid experimental-ML frameworks for materials science—demonstrating exceptional methodological versatility. Active collaborations with institutions across Europe and South America support this work, with consistent output in high-impact journals and conferences. The research group maintains computational resources through DTU's infrastructure, accessible via http://www.construct.dtu.dk , focusing on real-world engineering solutions aligned with sustainability goals.

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Christian T. Vejeمشاهده پروفایل

استاد

University of Southern DenmarkDenmark

Christian T. Veje serves as Professor and Head of the Department of Mechanics and Electronics (IME) at the University of Southern Denmark, leading research in energy systems and computational modeling with 144 publications. His work bridges theoretical numerical methods and practical engineering solutions for sustainable energy applications across thermal engineering domains. Research interests prioritize applied mathematical modeling, finite element analysis, and numerical simulation techniques focused on energy systems optimization. Specific applications include phase change materials for thermal storage, district heating networks, lithium-ion battery systems, heat pump technology, and predictive control models for energy performance enhancement. His fingerprint analysis reveals strong connections to thermal engineering subfields like regenerators and energy renovation. Recent publications (2022-2024) demonstrate concentrated innovation in renewable energy integration, waste heat recovery, and AI-driven building management. Key trends include hybrid thermal storage systems using phase change materials, techno-economic optimization of island energy grids, and liquid cooling solutions for data centers. His work consistently applies computational fluid dynamics and predictive modeling to solve complex energy challenges. No scientific awards were documented in the source materials. Veje has supervised 3 PhD students and secured leadership roles in multiple research initiatives including the Digital Twin for building decision support (2021-2024), PROMA predictive maintenance project (2021-2024), and NeGeV ventilation research (2018-2021). His grants address energy optimization, predictive maintenance strategies, and advanced thermal management systems through industry-academic collaborations. While specific laboratory names aren't provided, Veje actively participates in multi-institutional teams including the EUROFusion BB RH facility project (2024-2026) and has contributed to editorial boards for Energies and Energy Informatics journals, demonstrating cross-disciplinary engagement in energy research communities.

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Sussi Olsenمشاهده پروفایل

پژوهشگر

University of CopenhagenDenmark

Sussi Olsen is an Academic Research Staff member (Researcher) in the Department of Nordic Studies and Linguistics at the University of Copenhagen, employed at the Center for Sprogteknologi (CST) since 1997. Her work centers on developing and validating linguistic resources for language technology applications. Education: Masters degree in Spanish and Computational Linguistics, University of Copenhagen Her research spans technological language resources, morphological/syntactic/semantic annotation, computational lexicography, corpus linguistics, and resource validation. She specializes in Danish language processing and EU-level language technology infrastructure, with expertise in historical Danish (19th century) and multilingual resource integration. Her work bridges theoretical linguistics and practical NLP applications. Recent publications (2023-2025) reveal a strategic focus on semantic resource development for Danish, including formal lexicons (COR.SEM), language model evaluation frameworks, and sign language-spoken language integration. These works demonstrate convergence between lexical semantics, benchmarking methodologies, and European language equality initiatives, particularly through EU-funded projects like the European Language Equality agenda. She actively contributes to EU language technology projects including the Central Word Register for Danish (COR), European Language Grid, Federated TermBank, and ELEXIS. Her project portfolio shows sustained engagement with terminology management, semantic annotation standards, and resource validation since 2008. She has presented extensively on historical Danish language processing and semantic annotation methodologies. Olsen is affiliated with the Center for Sprogteknologi and participates in the DigHumLab project. She holds governance roles as Member of the Board of Representatives and Board of Directors of the Danish Language Council, and formerly chaired the Society of Lexicographers in Denmark.

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Zhan Wangمشاهده پروفایل

استادیار

University of CopenhagenDenmark

Zhan Wang serves as an Assistant Professor in the Department of Food and Resource Economics at the University of Copenhagen's Faculty of Science, where his research examines the intricate relationships between land use, agricultural production systems, and environmental sustainability through advanced computational modeling techniques including general/partial equilibrium frameworks and geospatial data analysis. His work specifically investigates global, national, and gridded-scale impacts of international trade dynamics, climate change scenarios, and transportation infrastructure development on agricultural ecosystems. His academic background includes: PhD in Agricultural Economics from Purdue University (2018-2023) Dr. Wang's research expertise spans agricultural economics, land use change modeling, environmental impact assessment, and innovative economic education methodologies. He employs multi-scale analytical approaches to study sustainability challenges in food, land, and water systems, with particular emphasis on Brazil's agricultural infrastructure and China's ecological programs. His work bridges economic theory with environmental science to inform policy decisions regarding resource allocation and sustainable development. Analysis of his recent publications reveals a strong thematic focus on transportation infrastructure expansion and climate change impacts on agricultural systems, particularly in Brazil and China. His modeling frameworks like GTAP-SIMPLE-G integrate economic and geospatial data to evaluate policy interventions, while his educational tools demonstrate commitment to advancing applied economics pedagogy. The publications consistently employ multi-scale analysis techniques to address complex sustainability challenges. No scientific awards were documented in the available sources. Information regarding student advising, research grants, laboratory facilities, or research teams was not provided in the source materials, though his collaborative publications suggest interdisciplinary partnerships. His external position as Post-doctoral Research Associate at Purdue University (August 2023-June 2025) indicates ongoing academic engagement beyond his primary appointment.

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