Poul Ejnar Sommer Sørensen is a Professor at the Department of Wind and Energy Systems , Technical University of Denmark (DTU). He specializes in wind power integration, control, and dynamic modeling, with a focus on power quality and system stability. His work spans grid-connected renewable hybrid power plants, offshore wind farms, and low-inertia power systems. Current roles: Guest lecturer in international workshops, supervisor of PhD projects on hybrid power plants, and participant in the NEST Facilities research infrastructure. Leadership: Project leader for IEC 61400-27 standardization and co-chair of the Megavind strategy group. Research trends: Recent articles highlight hybrid power plant optimization, voltage stability in converter-dominated grids, and market strategies for frequency restoration reserves. Scientific Awards : Recipient of the IEC 1996 Award (2012). IEEE Fellow (2021) and IEEE Senior Member (2007). Supervision : Mentors PhD candidates including Zhu, R., Das, K., and Pouraltafi-Kheljan, S. Active in projects like GREAT (Grid Enhancement for Ancillaries in Tomorrow’s power systems) and offshore wind feasibility studies in Mauritius.
Jean Pichon-Pharabod is a Tenure Track Assistant Professor in the Department of Computer Science at Aarhus University, Denmark, with an office at Åbogade 34 in Aarhus N. His research spans formal verification, programming languages, and computer architecture, focusing on foundational work for secure and reliable systems. His primary research interests include the formal verification of WebAssembly, relaxed memory models for architectures like Arm, and security invariants for virtualized environments. He develops mechanized proofs using frameworks like Iris and Coq to establish robust safety properties for compilers, hypervisors, and low-level systems. His work bridges hardware semantics with programming language theory to address concurrency challenges in modern architectures. Analysis of his 2021-2025 publications reveals a consistent focus on verified compilation (CertiCoq-Wasm), axiomatic semantics for relaxed architectures (AxSL logic), and memory-safe WebAssembly verification (Iris-MSWasm). His research demonstrates strong international collaboration, particularly with Lars Birkedal at Aarhus University, and targets high-impact venues like PACMPL and CPP. Key trends include mechanized separation logics for virtual machines (VMSL) and formal elucidation of hardware-software interfaces for security-critical systems.
Michael Kastoryano is an Associate Professor in the Machine Learning group at the University of Copenhagen (DI KU). His research focuses on quantum computing, quantum algorithms, and their intersections with machine learning and theoretical physics. He explores topics such as quantum-inspired differential equation solvers, tensor network simulations, and quantum thermal state preparation. His work also delves into quantum error correction, quantum chemistry simulations, and the expressive power of neural network models for quantum systems. Key research interests include quantum algorithms for complex systems, quantum Gibbs samplers, and the development of efficient computational methods for quantum phenomena. His recent publications highlight advancements in low-rank adapters for quantized pretraining, coarse-to-fine tensor representations, and the evaluation of quantum advantage in computational chemistry. Dr. Kastoryano's contributions span theoretical frameworks and practical implementations, with a particular emphasis on bridging quantum computing and machine learning. His articles reflect a deep engagement with both foundational quantum mechanics and applied computational challenges. No scientific awards are listed. His work has been supported through collaborations within the University of Copenhagen's research infrastructure, focusing on machine learning and quantum technologies.
Dr. Shuting Li is a Postdoctoral Researcher at Aalborg University's Faculty of Engineering and Science within the Applied Power Electronic Systems group. Her research focuses on advanced control strategies for renewable energy integration, particularly in microgrid applications and virtual synchronous generator technologies. Her research interests span Microgrids , Virtual Synchronous Generators , Harmonics Control , and Wind Power Forecasting . She develops innovative control architectures addressing harmonic mitigation, stability enhancement, and energy management in systems with high renewable penetration. Her work bridges theoretical control design with practical implementation challenges in modern power systems. Dr. Li's publication record demonstrates consistent output with 15 research items between 2020-2024, including 7 publications in 2024 alone. Her work shows strong focus on harmonic control ( 46% fingerprint match ), virtual synchronous generators ( 46% ), and energy management systems ( 46% ), with significant contributions to wind power integration ( 30% ) and regenerative braking applications ( 30% ). She has secured research funding through the Harmonic Control Architectures for Virtual Synchronous Generator-based Distributed Generation Systems project (2021-2024), supervised by Professors Guerrero and Vasquez. This PhD project established her expertise in harmonic mitigation for distributed generation systems. Her laboratory work centers on the Applied Power Electronic Systems facility at Pontoppidanstræde 111, where she develops and tests control algorithms for microgrid applications using advanced simulation and hardware-in-loop platforms.
Aljaz Kramberger is an Associate Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), where he is a key member of SDU Robotics. His work bridges robotics, artificial intelligence, and industrial automation, with a strong focus on robotic assembly, vision-based pose estimation, and human-robot interaction. He actively contributes to both research and education within the robotics domain. Research Interests: His research spans several advanced topics in robotics, including reinforcement learning for robotic assembly, domain randomization, task planning under uncertainty, and low-code programming frameworks for robot motion. He investigates how robots can generalize skills across tasks and environments, particularly in industrial settings. His work emphasizes robust perception, decision-making under uncertainty, and seamless human-robot collaboration in manufacturing contexts. The recent articles reflect a strong trend toward intelligent, adaptive robotic systems that learn from simulation and generalize to real-world tasks. Key themes include policy learning for assembly, uncertainty-aware pose estimation, domain-specific languages for robot programming, and social aspects of HRI in industrial environments. These works demonstrate a consistent focus on bridging simulation and reality, improving task reliability, and enhancing usability in robotic automation. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: Dr. Kramberger supervises multiple PhD students and is involved in several major research projects. He is the principal supervisor for PhD projects on generative factory optimization in the industrial metaverse and robot control for deformable parts. He is also co-PI on a project focused on low-code programming for mobile robotics, and a project participant in EU-funded initiatives like Fluently and FERA, which aim to advance fast, efficient, and socially fluent robotic automation. These projects are supported by Novo Nordisk, EU funding, and national research councils. Labs and Teams: He is embedded in the SDU Robotics group at the Maersk Mc-Kinney Moller Institute, a leading center for robotics research in Denmark. He collaborates closely with researchers such as Norbert Krüger, Leon Bodenhagen, and Thiago R. Silva. His work is highly collaborative, involving interdisciplinary teams focused on industrial robotics, AI integration, and human-centered automation.
Jakub Kolarik is an Associate Professor in the Section for Building Physics and Services, Department of Civil Engineering, at the Technical University of Denmark (DTU). He is affiliated with the International Centre for Indoor Environment and Energy and has been a continuous academic staff member since 2004, progressing from Research Assistant to his current role since 2013. Ph.D. in Environmental Engineering, Silesian University of Technology, Poland (2005–2008) M.Sc. in Mechanical Engineering, Czech Technical University, Prague (1997–2004) His research focuses on indoor environment, indoor air quality, heating and air-conditioning systems, and human responses to indoor conditions. He investigates how indoor environments affect work productivity, activity, and well-being, with a strong emphasis on energy efficiency and climate resilience in buildings. His work includes laboratory and field studies on thermal comfort, natural ventilation, and air quality sensors. Recent publications highlight trends in natural ventilation for renovated dwellings, optimization of retirement homes, thermal preference modeling, and sensor-based IAQ management. His work integrates dynamic building simulations and occupant-responsive systems, contributing to sustainable building design and UN SDGs. The research grant for doctorate students by the Polish Ministry of Higher Education (2007-2008) Scholarship by the International Visegrad Fund, Bratislava, Slovak Republic (2005-2006) Kolarik has supervised Ph.D. students and served as a project coordinator and principal investigator on major research initiatives, including IEA EBC Annex 86 and projects on ventilation in Greenland and renovated dwellings. He has also contributed to editorial work as an editor for the journal Buildings . His grants include EU FP7, IEA Annexes, and national Danish research programs. He is actively involved in the International Centre for Indoor Environment and Energy at DTU, collaborating on projects related to residential ventilation, energy efficiency, and indoor air quality sensor technologies. His work bridges experimental research, building simulations, and practical implementation in real-world dwellings.
Jacob Nørbjerg serves as an Associate Professor in the Department of Digitalization at Copenhagen Business School, where his research examines the socio-technical dynamics of digital transformation in organizational contexts. With 62 publications spanning two decades, he addresses critical challenges at the intersection of technology implementation and human practices in both public and private sectors. His research expertise centers on continuous software engineering (DevOps/Agile transitions), workplace datafication (algorithmic management and labor organizing), and human-centered automation (job crafting in low-usability systems). Nørbjerg investigates how organizations navigate digital innovation through socio-technical lenses, emphasizing sustainability and worker agency. His studies frequently employ Scandinavian case studies in public IT megaprojects, industrial settings, and SMEs, contributing to frameworks for equitable technology adoption. Analysis of Nørbjerg's recent publications reveals a pronounced shift toward socio-technical perspectives on digitalization. Key themes include human-in-the-loop cyber-physical systems, trade union responses to workplace datafication, and sustainability through human work interaction design. His work bridges technical practices like low-code development with social implications, demonstrating strong interdisciplinary contributions across information systems, software engineering, and labor studies. No scientific awards or honors were mentioned in the provided text. Nørbjerg has supervised 7 students, reflecting his commitment to academic mentorship. His collaborative research approach is evident in multi-institutional projects addressing complex digital challenges, including pandemic-related robotics applications in educational settings as reported in 2020 media coverage.
Mahya Mohammadi Kashani is a Researcher in Software Engineering at the IT University of Copenhagen, specializing in risk assessment for underwater robotics. She serves as an Early Stage Researcher in the REMARO (Reliable AI for Marine Robotics) network, a European Commission-funded project advancing trustworthy AI for marine applications. Her academic background includes: PhD in Computer Science (2021-2024), IT University of Copenhagen: Focused on statistical assessment of plans via probabilistic optimization of reliability. MSc in Artificial Intelligence and Robotics (2016-2019), Shahid Rajaee Teacher Training University: Researched search-based image annotation using deep models. BSc in Software Engineering (2010-2014): Developed filter drivers for disk access control at low-level driver hierarchies. Her research develops Bayesian-inference-based methods for risk-averse decision-making in underwater robotics, creating probabilistic models to assess operational risks and select reliable robot plans. Previously, she investigated pattern recognition algorithms, sparse reconstruction/coding techniques, and search space reduction for automatic image annotation systems. Her publications (2022-2025) establish a cohesive framework for risk-aware marine robotics, addressing fault recovery, risk quantification, and plan assessment through probabilistic optimization and belief-based planning models. No scientific awards were documented in the source material. Funded by the REMARO project (2020-2025), she contributes to European Commission research on trustworthy AI, active learning, and image segmentation for underwater robotics as a co-investigator. Her collaborative work spans risk-averse planning methodologies and reliability engineering for autonomous marine systems. Within the REMARO network, she collaborates on advancing reliable AI for marine robotics through active learning techniques and image segmentation solutions for challenging underwater environments.
Mads Høbye serves as an Associate Professor in the Department of People and Technology at Roskilde University, Denmark, where he investigates the intersection of digital technology and human experience through computational logic, sensors, and artistic expression. He co-founded illutron collaborative, an interactive art collective operating from a Copenhagen Harbor barge that provides non-commercial space for artists working with technology and biology. His educational background includes: PhD in Interaction Design from Malmö University (2014), focusing on "Designing for Homo Explorens: open social play in performative frames" Høbye's research centers on digital materiality as a hybrid of physical and digital technologies, with three core strands: (1) exploring the experiential and aesthetic potential of dynamic material technologies, (2) developing frameworks for creative computational technology use, and (3) enabling democratic technology ownership through open knowledge-sharing and digital fabrication labs. His work manifests in interactive installations that examine interpersonal dynamics within technological contexts. Key research areas include: Human-Computer Interaction Interactive Art and Performance Digital Fabrication and Maker Culture Open Source Hardware Development Embodied Interaction Design Recent publications (2020-2025) reveal consistent focus on integrating maker culture into educational settings, analyzing bodily play in interactive systems, and deploying interactive artifacts in performance environments. His work demonstrates how digital fabrication democratizes technology access while emphasizing reflexive assessment in student-driven projects and the social dimensions of human-technology interaction in public spaces. Høbye leads and participates in interdisciplinary research initiatives exploring technology's role in education and artistic expression: Active Project : Low-Code Programming of Spatial Contexts for Logistic Tasks in Mobile Robotics (2022–present) Completed Projects : MemoryMechanics (2020–2023), Robots on stage (2018–2020), Connecting through pulse with Royal Danish Theatre (2017–2018), Dynamic transparencies (2017–2018) Through illutron collaborative and fablab initiatives, Høbye maintains laboratory spaces focused on community-driven technological experimentation. The collective operates as a non-profit governed by active members, providing facilities for artists to work with technology, biology, and scrap materials while hosting exhibitions in museums and public settings since 2004. His current work emphasizes creating frameworks for democratic technology ownership through open knowledge-sharing practices.
Torben Ægidius Mogensen is an Associate Professor at the Department of Computer Science, University of Copenhagen, where he leads research in the Programming Languages and Theory of Computation section. His office is located at Universitetsparken 5, Copenhagen. His primary research focuses on: Automatic program analysis and transformation (especially partial evaluation and semi-inversion) Compiler technology for functional languages Domain-specific language design Reversible computing systems and languages Algorithms, complexity theory, and automata theory Applications in graphics and fractal generation His recent publications demonstrate a strong focus on reversible computation systems, including specialized programming languages like Hermes for encryption, reversible processor architectures, and functional programming extensions. His textbook publications on compiler design (2024) and programming language implementation (2022) indicate significant contributions to computer science education and foundational knowledge. He teaches courses on compilers, programming language technology, and game development, and maintains active research collaborations internationally. He is fluent in Danish and English, with working knowledge of German and Romanian.
Luca Pezzarossa is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on real-time systems, embedded computer systems, digital microfluidics, compiler optimizations, and hardware accelerators. He leads projects such as the Edu4Chip: Joint Education for Advanced Chip Design in Europe initiative and supervises PhD students in areas like compiler optimizations for neural networks and speech enhancement algorithms. His academic journey includes contributions to interdisciplinary fields, combining computer engineering with biomedical applications such as biochip design and PCR optimization. He actively engages in open-source tool development, particularly using the Chisel framework for hardware design education and research. Key research themes include: Real-time systems and time-predictable architectures Compiler-driven optimizations for constrained devices Digital microfluidics for lab-on-a-chip systems Edge computing and TinyML applications Recent publications highlight innovations in microplastic detection on edge devices, dynamic channel pruning for speech enhancement, and parallel execution engines for digital microfluidics. His work aligns with sustainable development goals through environmental applications and energy-efficient technologies. Current projects involve: PhD Supervision: Andrea Cerioli (Compiler Optimizations), Riccardo Miccini (AI-to-Neural Network Mapping), Ehsan Khodadad (Time-predictable Systems) Research Grants: EU-funded Edu4Chip (2023–2025), multiple industry-academia collaborations Labs and teams: Leads the Embedded Systems Engineering group at DTU, focusing on interdisciplinary hardware-software co-design for real-world applications. Active in developing open-source frameworks for education and research.
Nick Rübner Papior is a Special Consultant in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU) . His research focuses on quantum transport phenomena, nanomaterials, and computational modeling of electronic properties in graphene-based systems and molecular junctions. He has contributed significantly to the development of the SIESTA software package and organizes workshops on electronic structure simulations. Key research areas include carbon nanostructures (graphene, nanoribbons), spintronics, and sensor technologies for CO x detection. He has supervised PhD students such as Calogero G. and has been involved in projects funded by Danmarks Grundforskningsfond. His work spans theoretical investigations into topological phases in conjugated polymers, quantum interference effects, and current-induced mechanical stability in nanoconductors. Recent publications highlight advancements in robust quantum engineering at room temperature, mechanical/magnetic stability of carbon nanoconductors, and interferometry with graphene networks. His interdisciplinary approach integrates computational tools with experimental insights to advance nanoelectronics and sustainable materials science. Labs/Teams: Core contributor to SIESTA development and organizer of electronic structure software schools. Advising: Supervised PhD student Calogero G. in theoretical investigations of graphene devices (2015–2019). Grants: Principal investigator on projects exploring graphene nanostructures (2012–2016) and computational tools for transport properties (2015–2019).
Buket Tozan is a Researcher (PhD Fellow) at Aalborg University's Department of the Built Environment, part of The Faculty of Engineering and Science. She focuses on climate impacts of the built environment, particularly new construction in Denmark, with expertise in Life Cycle Assessment (LCA), embodied carbon, and greenhouse gas emissions mitigation strategies. Her work involves developing limit values for building emissions and analyzing climate-economic effects of construction practices. Her research interests include sustainable building design, carbon budgeting, and regulatory frameworks for low-carbon construction. She has collaborated on projects like 'Udvikling af grænseværdier' and 'LCAbyg', contributing to Danish climate policy through consultancies for regulatory bodies. Her activities include organizing workshops on LCA in construction and presenting at international conferences like CISBAT 2023. Key contributions include a 2024 report on 24 best practice low-carbon housing cases and a novel LCA-based limit value framework published in Building and Environment . She actively engages with stakeholders through presentations and media features discussing Denmark's most climate-friendly homes and certification trends in sustainable construction.
Riccardo Riva is a Special Consultant at the Department of Wind and Energy Systems at the Technical University of Denmark , specializing in wind turbine engineering and aeroelastic stability analysis. His work focuses on combining high-fidelity numerical modeling with machine learning for wind farm optimization, structural response prediction, and control system development. Key research areas: Wind turbine structural dynamics, surrogate modeling, and data-driven control systems Active supervisor in 4 PhD projects (2024-2027) related to wind farm co-design and structural modeling Recent publications address uncertainty propagation, vortex-induced vibrations, and multi-fidelity modeling approaches His research contributes to UN Sustainable Development Goals 7 (Affordable Energy) and 9 (Infrastructure Innovation). Current projects emphasize digital twin technology and floating offshore wind farm optimization.
Kim B. Wittchen is a Senior Researcher at Aalborg University's Department of Construction, Urban and Environmental Engineering, focusing on building sustainability. With expertise in civil engineering, energy efficiency, and climate adaptation, Wittchen contributes to research on nearly zero-energy buildings, energy demand management, and thermal storage capacity in building stocks. Wittchen's recent publications analyze NZEB regulations across Nordic countries, climate-adaptive building codes, and energy flexibility frameworks. Their work intersects with UN Sustainable Development Goals like Education and Climate Action. Best paper award, Cold Climate HVAC 2021 Active in academic activities, Wittchen organizes conferences (e.g., Nordic Symposium on Building Physics) and contributes to peer review. Their research emphasizes future climate extremes over historical averages, influencing building design and renovation policies.
