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Therese Lyngby is a faculty member at the University of Copenhagen's Department of Computer Science (DIKU), affiliated with the Image Analysis, Computational Modelling, and Geometry (IMAGE) section. Her work intersects theoretical and applied research in algorithm development and data processing. Research areas: Image analysis, computational modeling, and geometric statistics Recent work: Publication on reversible lossless compression algorithms at RC 2024
Tudor-Ovidiu Pal is a Lecturer at the Department of Computer Science , University of Copenhagen, contributing to teaching and research in programming language technology and theoretical computer science. He is affiliated with the Programming Languages and Theory of Computation Section (PLTC), which focuses on foundational and applied research spanning algorithmic programming, formal verification, computer security, and high-performance computing systems. His work intersects with key research groups within PLTC, including investigations into secure networked systems (blockchain, distributed ledger technology), software-based security techniques, functional programming optimizations, and probabilistic programming applications in bioinformatics and AI-driven vaccine design. He also engages with topics like program inversion, reversible computing, and quantum programming paradigms through collaborative efforts with other researchers in the section.
دانشیار
Helge Pfeiffer is an Associate Professor in the Department of Software Engineering at the IT University of Copenhagen. His research focuses on software quality, technical debt, DevOps, dependency management, and reverse engineering. He is affiliated with the Danish Institute for IT Program Management and the Research Centre for Government IT. Key research contributions include developing the DaSEA dataset for software ecosystem analysis and investigating energy consumption in Python environments. His work bridges academic and industrial practices, particularly in software education and tool development. Projects: Co-Investigator in FCOIT (2018-2021), Villum Foundation Professorship (2022-2027) Datasets: Creator of DaSEA and other reproducibility packages
Maja Hanne Kirkeby is an Associate Professor at Roskilde University , Denmark, affiliated with the Department of People and Technology Programming, Logic and Intelligent Systems . Her research focuses on energy efficiency in software and hardware systems, program transformation, and sustainable IT development. She has contributed to projects like Green IT-procurement and Energicertificeret softwareudvikling og drift . Her work bridges theoretical computer science and practical applications, emphasizing energy-aware software development. Key research areas include static communication analysis for hardware design, reversible computing, and optimizing Haskell compilers for energy efficiency. She actively participates in initiatives such as the CERCIRAS COST Action to promote resource-aware societies. Dr. Kirkeby has been involved in organizing events like the CERCIRAS Training School 2022 and serves on conference committees for programming language design and implementation. Her media engagements highlight concerns about AI's escalating energy consumption in data centers, advocating for stricter industry standards. Her research outputs emphasize empirical analysis and interdisciplinary collaboration, with publications in venues like Computer Science and Information Systems and ACM Symposium on Applied Computing .
Maximilian Joachim Von Zedtwitz is a Professor with special responsibilities at Copenhagen Business School (CBS), leading the Research Center for Global R&D and Innovation (GLORAD). He holds adjunct roles at KTU (Lithuania) and SDU (Denmark). His work focuses on global innovation dynamics, particularly in emerging markets like China and India, emphasizing responsible innovation, reverse innovation, and frugal innovation. Education: PhD in Technology Management from University of St. Gallen, MSc in Computer Science (ETH Zurich), Postdoc at Harvard. Prior roles include professorships at Tsinghua University, Skoltech, IMD, and PRTM Management Consultants. Research Interests: Global R&D strategies, corporate venturing, technology management in MNCs, and ethical value creation. Key areas include leveraging distance for innovation, mitigating risks in emerging markets, and scaling innovations from developing economies to global markets. Key Achievements: Founded GLORAD (2003), authored 100+ articles and 17 books. Recognized as #1 cited author in global innovation and incubation per Google Scholar. Won the 2016 JPIM Best Paper Award and top researcher accolades at KTU. Labs/Teams: GLORAD collaborates with institutions worldwide, including Tsinghua, Stanford, and ETH Zurich, focusing on global R&D networks and innovation policy.
پژوهشگر
Dr. Samaneh Fayyaz is a Postdoctoral Researcher at the Department of Green Technology (IGT) within the Faculty of Engineering and Science at the University of Southern Denmark. Her work focuses on sustainability assessment, circular economy, and life cycle analysis of industrial processes. Environmental Engineering PhD (2018-2023) - University of Tehran Civil Engineering MSc (2006-2009) - Tarbiat Modares University Chemical Engineering BSc (2004-2006) - Tarbiat Modares University Her research interests include: Life Cycle Assessment (LCA) of industrial operations Carbon footprint analysis of port systems Circular economy strategies for wind turbine blades Sustainable desalination technologies Hybrid biological-inorganic wastewater treatment systems Environmental enhancement scenarios for petrochemical industries Recent publications show strong focus on: Hybrid modeling approaches combining LCA and GRM Seawater desalination efficiency analysis End-of-life management for renewable energy infrastructure Environmental assessment of wastewater treatment Mathematical modeling of industrial processes Greenhouse gas analysis in chemical operations
Ana Valeria Gonzalez is a researcher in the Department of Computer Science at the University of Copenhagen's Faculty of Science, specializing in Machine Learning with a focus on human-centered natural language processing. Her work bridges computational linguistics and cognitive science within the department's Machine Learning research section. Her research investigates bias mitigation in multilingual systems, interpretable AI evaluation frameworks, and affect-aware dialogue generation. Key contributions include developing testbeds for gender bias analysis in coreference resolution, novel methodologies for evaluating model interpretability through reverse Turing tests, and retrieval-based approaches for goal-oriented conversational agents. She employs techniques spanning attention mechanisms, BiLSTMs, and domain adaptation to address challenges in low-resource NLP settings. Analysis of her 2019-2021 publications reveals a cohesive research trajectory toward building transparent, equitable NLP systems that account for human cognitive factors. Her work consistently addresses real-world deployment challenges, particularly in dialogue systems requiring emotional intelligence and cross-lingual fairness. Collaborations with Anders Søgaard, Isabelle Augenstein, and other Copenhagen researchers demonstrate strong integration within the university's AI ecosystem. Gonzalez completed her Ph.D. in 2021 with the dissertation "Towards Human-Centered Natural Language Processing". She maintains active research in the Machine Learning group, though specific advising roles and grant details aren't documented in the available materials. Her publication record shows significant impact with multiple Scopus-cited works and substantial reader engagement across platforms.
Alfredo Gonzalez-Perez serves as an External Researcher within the Biocomplexity group at the Niels Bohr Institute, Faculty of Science, University of Copenhagen. His interdisciplinary work bridges biophysics, environmental engineering, and materials science with a focus on sustainable technological applications. His research portfolio emphasizes: Development of biomimetic membranes for water purification systems Biophysical analysis of neural signaling mechanisms in invertebrates Structural stability of biological proteins in synthetic environments Polymer-based systems mimicking natural biofilm growth patterns Eco-materials engineering for environmental remediation Electromechanical pulse propagation in neuronal systems Analysis of his 2014-2019 publications reveals a consistent trajectory toward solving environmental challenges through fundamental biophysical principles. His most impactful work centers on aquaporin-based membrane technology for drinking water production, with significant contributions to understanding action potential dynamics in nerve systems. The research demonstrates strong translational potential, evidenced by patent references and industrial applications in water treatment technologies. Affiliated with the Biocomplexity research group at the Niels Bohr Institute, Gonzalez-Perez operates within Copenhagen's premier physics research environment. The group specializes in complex systems analysis across biological and physical domains, employing advanced computational and experimental methodologies to investigate phenomena from molecular interactions to ecosystem-level processes.
Louis Marott Normann serves as a Lecturer in the Department of Computer Science at the University of Copenhagen's Faculty of Science. His research focuses on advanced programming language theory with specialization in reversible computing and partial evaluation techniques. His recent work demonstrates significant contributions to reversible program semantics, particularly through the development of reversible interpreters and flowchart-based program transformations. Key research themes include the theoretical foundations of invertible computation and practical applications of partial evaluation in optimizing reversible systems. Normann's 2024 publications reveal a concentrated research trajectory in programming language theory, with both papers exploring the intersection of reversibility and program transformation. His collaborations with Robert Glück highlight methodological innovations in interpreter design and flowchart program optimization, advancing the field of reversible computing. His academic activities include peer-reviewed conference publications in prestigious venues like PEPM and Festschrift publications honoring seminal researchers in programming languages. Normann maintains active research output through the University of Copenhagen's Department of Computer Science (DIKU), with open-access publications available via institutional repositories.
دانشیار
Freja Herborg serves as Associate Professor in the Department of Neuroscience at the University of Copenhagen's Faculty of Health and Medical Sciences (SUND), where she conducts research within the Neuropharm and Genetics group and the Gether Lab ( gether-lab ). Her work focuses on molecular mechanisms of dopamine signaling, GPCR biology, and neurodegenerative processes in Parkinson's disease, utilizing advanced techniques including single-molecule microscopy and cellular reprogramming. Her research interests span Neuroscience , Molecular Pharmacology , and Neurogenetics , with specific expertise in dopamine transporter dynamics, GPCR endocytosis, and neuronal reprogramming for therapeutic applications. She investigates how nanoscale organization of neuronal proteins influences neurotransmission and how genetic factors like Synaptojanin1 contribute to Parkinson's disease pathology. Analysis of her 26 research outputs (2022-2025) reveals consistent emphasis on dopamine neuropharmacology and Parkinson's disease mechanisms, with frequent publication in high-impact journals like Science Advances and Nature Communications . Her work bridges molecular biology, neuroimaging, and translational research to develop novel therapeutic strategies. Dr. Herborg operates within the internationally recognized Gether Lab, which specializes in neurotransmitter transporters and G protein-coupled receptors. The lab fosters interdisciplinary collaboration between molecular biologists, neuroscientists, and clinicians to address fundamental questions in neuropharmacology and neurodegeneration.
Saulius Vaitiekenas is an Associate Professor at the Niels Bohr Institute , University of Copenhagen, specializing in Condensed Matter Physics . His research focuses on quantum transport phenomena in hybrid superconducting and semiconductor systems. Affiliation : Niels Bohr Institute, University of Copenhagen Research Themes : Topological superconductivity, Josephson junctions, quantum interference, and nanowire-based quantum devices Recent Article Trends (2023-2025): Investigations into topological superconductors using Cooper-pair splitters Development of non-sinusoidal current-phase relations in semiconductor-superconductor-ferromagnet heterostructures Exploration of full-shell nanowires for Majorana zero modes Studies on supercurrent reversal mechanisms in ferromagnetic Josephson junctions
Mirza Karamehmedovic is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). His research focuses on computational mathematics, photonics, and inverse problems, with applications in optical surface metrology and numerical methods for engineering systems. He leads projects involving uncertainty quantification, inverse problem formulations, and bio-nanomaterials. Key research areas include electromagnetic scattering models, failure probability estimation using Gaussian processes, and spectral analysis of random media. His work bridges theoretical mathematics with practical engineering solutions, particularly in photonics and microscopy. Supervised PhD students include L. Baalbaki (Bayesian inverse problems), K. Linder-Steinlein (source localization in random media), and J. Bravo Gadea (geometric analysis). Active in international conferences presenting on topics like photonic nanojets and Helmholtz equation applications.
استادیار
Jesper Jensen is an Assistant Professor at the University of Southern Denmark (SDU), affiliated with the Department of Design and Communication and the Centre for Learning Computational Thinking (CLCT). His primary research focuses on computational thinking, educational technology, and interdisciplinary design, particularly in how technical skills are transferred across academic and professional contexts. His recent work examines the application of computational literacy in project-based learning environments, emphasizing the interplay between theoretical frameworks and practical implementation. Notable studies include an empirical analysis of how students transfer computational competences from coding courses to broader design projects involving humanities and social sciences. Earlier research spans supply chain innovation, sustainability practices, and global manufacturing strategies, reflecting a dual focus on technological pedagogy and industrial systems. His publications address topics ranging from big data applications in supply chains to the socio-economic implications of manufacturing relocation. He holds a strong record of collaborative projects, including design for interactive web-based educational tools and cross-disciplinary partnerships. Contact: jesjen@sdu.dk .
پژوهشگر ارشد
Nikolaj Hey Hinnerskov is a PhD Fellow in the Programming Languages and Theory of Computation (PLTC) section at the Department of Computer Science, University of Copenhagen. His research is embedded within DIKU's PLTC group, focusing on foundational and applied programming language systems. His core research spans: Programming Language Theory and Type Systems Compiler Design for Array-Based Languages Automatic Differentiation Techniques GPU-Accelerated Algorithm Development Rank-Polymorphic Function Inference Time Series Analysis Optimization Recent work demonstrates a strong convergence of programming language theory and high-performance computing, particularly in advancing compiler techniques for functional array languages like Futhark and optimizing scientific computations on GPUs. His publications address critical challenges in type inference, automatic differentiation, and parallel time-series decomposition. No scientific awards are documented in available sources. As a doctoral researcher, he operates under faculty supervision without independent advisees or grant leadership. His contributions align with DIKU's PLTC projects, including language design and performance optimization initiatives. He actively collaborates within the PLTC research ecosystem, contributing to GPU-based computational methods and programming language innovations alongside DIKU faculty and international researchers.
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.
