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Frank KjeldsenView profile

Professor

• Proteomics
• Mass Spectrometry
• Nanoparticle-Biological Interactions
• +7 more

Frank Kjeldsen is a Professor and group leader in the Protein Research group at the Department of Biochemistry and Molecular Biology , University of Southern Denmark . His research focuses on proteomics, mass spectrometry, and the biological effects of nanoparticles, with a strong emphasis on method development in negative ion mode and ultrafast proteomic platforms. His research interests span: Proteomics and systems biology Nanoparticle-biological system interactions Development of novel mass spectrometry and chemical biology methods Fundamental gas-phase peptide chemistry Metabolomics and multi-omics integration Recent publications (2023–2025) highlight trends in ultrafast proteomics , multi-omics for environmental and biomedical applications, nanoplastic toxicity , and neuroprotection . His work frequently involves advanced LC-MS/MS techniques, ion mobility, and software development for data analysis. Scientific recognition includes: 2 prizes (as noted in his CV profile) He actively supervises research and collaborates on multiple interdisciplinary projects. His lab, the Frank Kjeldsen Lab , is part of the Biomedical Mass Spectrometry research section. He has contributed to numerous grants and collaborative research efforts in toxicology, cancer, and environmental science.

Henrik Lauridsen LolleView profile

Associate Professor

• Welfare State
• Rural Areas
• Urban Areas
• +5 more

Henrik Lauridsen Lolle is an Associate Professor at the Department of Politics and Society, Aalborg University, within The Faculty of Social Sciences and Humanities. His research focuses on welfare state dynamics, rural and urban quality of life, and subjective well-being. He has participated in numerous interdisciplinary projects, including the European Values Study and the Nordic model analysis. Key research interests include rural-urban disparities, social policy, and quantitative methodologies. He has contributed to over 50 publications, with recent work emphasizing rural quality of life in Denmark and methodological advancements in social science research. Lolle is involved in grants such as the Rockwool Foundation-funded European Values Study and Sapere Aude initiatives. He has supervised one PhD student and actively participates in academic peer review and editorial activities. Notable projects include investigating generalizability in survey data (Rockwool Foundation) and micro-perspectives on the Nordic welfare model (Independent Research Fund Denmark). His work often bridges comparative policy analysis with empirical data exploration.

Anders MøllerView profile

Professor

• Programming Languages
• Software Engineering
• Static Program Analysis
• +4 more

Anders Møller is a Professor and Vice Head of Department at the Department of Computer Science, Aarhus University, Denmark. He is a leading researcher in programming languages and software engineering, with a primary focus on static and dynamic program analysis. He serves as Chairman of the PhD Committee and holds leadership roles in the international research community, including Vice-Chair of ACM SIGPLAN and Associate Editor for ACM TOPLAS and ACM TOSEM. His research interests include programming languages, software engineering, static and dynamic analysis, program verification, and security. His work bridges theoretical foundations and practical applications, particularly in improving software reliability and security through advanced analysis techniques. The trends in his recent publications reflect a strong emphasis on static analysis for security, scalability, and real-world impact—especially in web applications, smart contracts, and open-source software supply chains. His research has evolved toward practical deployment, demonstrated by the founding and acquisition of Coana by Socket in 2025 for enhanced vulnerability detection. Recipient of the Danish Elite Research Prize 2020 ACM Distinguished Member He actively mentors students and contributes to the academic community through conference leadership (e.g., OOPSLA, PLDI, ICSE). He also co-authored the widely used textbook Static Program Analysis with Michael I. Schwartzbach. His work is deeply integrated into both academic and industrial advancements in software analysis and security.

• Computational Biophysics
• Membrane Biophysics
• Molecular Dynamics Simulations
• +5 more

Weria Pezeshkian is an Assistant Professor in the Biocomplexity research group at the Niels Bohr Institute, University of Copenhagen. With expertise spanning computational biophysics and membrane dynamics, Dr. Pezeshkian leads research that bridges physics, biology, and computational science to address fundamental questions in cellular mechanics. Dr. Pezeshkian's research focuses on: Computational modeling of cellular membranes and their dynamic properties Molecular dynamics simulations of protein-lipid interactions Membrane mechanics and curvature generation mechanisms Plasma membrane repair processes Development of computational methodologies for multiscale biological modeling Analysis of recent publications reveals a strong emphasis on membrane biophysics, particularly in understanding how proteins interact with and shape cellular membranes. The research combines advanced computational techniques with experimental data to model complex cellular processes across multiple scales. Key contributions include elucidating mechanisms of membrane repair, protein-induced membrane curvature, and innovative simulation methodologies like FreeDTS and TS2CG. Scientific recognition includes: MGMS Frank Blaney Award (2024) Dr. Pezeshkian maintains an extensive collaborative network across institutions and disciplines, focusing on integrative approaches to complex biological questions. The research has significant implications for understanding fundamental cellular processes and potential applications in disease mechanisms related to membrane dysfunction.

Paola TrevisanView profile

Assistant Professor

• Management Accounting
• Organizational Theory
• Creative Industries
• +4 more

Paola Trevisan is an Assistant Professor at Copenhagen Business School, specializing in the Department of Operations Management. Her research intersects with the United Nations Sustainable Development Goals (SDGs), focusing on management accounting and organizational theory within creative industries. Current position: Assistant Professor, Copenhagen Business School Department: Operations Management Her research explores controversies in craft communities and decision-making processes in creative organizations, offering alternative frameworks for organizing cultural and artistic practices. Key themes include sustainable development, financial modeling in the arts, and the balance between tradition and innovation. Recent publications, such as Agree to Disagree on Gondola Making (2025) and Compromises and Compromising (2023), analyze how creative sectors navigate financial, ethical, and operational challenges. These works align with broader efforts to integrate sustainability into artistic and business practices. Her research outputs span multiple formats, including peer-reviewed journal articles, teaching cases, and computer programs, reflecting interdisciplinary engagement with cultural economics, opera production, and management accounting systems.

Joel Daniel AnderssonView profile

Research Fellow

• Differential Privacy
• Continual Observation
• Streaming Algorithms
• +3 more

Joel Daniel Andersson is a Research Fellow at the Department of Computer Science , University of Copenhagen, affiliated with the Faculty of Science . He is a member of the Providentia group under the supervision of Rasmus Pagh , focusing on differentially private algorithms in the continual observation setting. His work bridges theoretical challenges in privacy-preserving data analysis with practical applications in machine learning and statistics. PhD in progress (third-year) at the University of Copenhagen Former Master's student in Engineering Physics (Lund University, 2020) Previous industry experience: Software Engineer at Ericsson (5G protocols) Research Interests Joel's research explores differential privacy in streaming algorithms , particularly for continual observation —a framework where private statistics must be released incrementally over time. He investigates optimal solutions for problems like binary continual counting, comparing noise mechanisms (Laplace vs. Gaussian), and designing efficient algorithms for dynamic data streams. Earlier work includes computational modeling of beam dynamics at CERN for high-energy physics applications. Recent Publications His publications span theoretical computer science and computational physics , appearing in venues like NeurIPS , ICML , FORC , and physics journals. Key themes include: Differential privacy in streaming and machine learning Algorithmic design for continual data release Computational modeling for particle accelerators Privacy expiration and noise mechanism trade-offs Affiliations Joel collaborates with: BARC (Basic Algorithms Research Copenhagen) group Providentia group Adam Smith's lab at Boston University (visiting researcher, Jan–Apr 2025)

• Programming Languages
• Reversible Computing
• Software Systems
• +2 more

Robert Glück is a Professor at the Department of Computer Science under the Faculty of Science , University of Copenhagen. He also served as a Visiting Professor at the National Institute of Informatics, Tokyo . His research spans programming languages , reversible computing , and metaprogramming , with a focus on energy-efficient computation. Email: glueck@di.ku.dk Phone: +45 29611655 Address: Universitetsparken 5, Building B, 2100 Copenhagen Ø Glück's research interests center on reversible computing , program generation , and metaprogramming , particularly for low-energy systems. His work includes developing reversible logic circuits, invertible interpreters, and tools for program inversion via term rewriting systems. Recent publications highlight advancements in reversible flowchart languages , partial evaluation techniques , and compiler design . Key themes include garbage-free reversibility, memory-efficient algorithms, and formal verification of reversible systems. Scientific Awards: Japan Society for the Promotion of Science (JSPS) Fellowship Grants & Projects: Presto Basic Research Grant (JST) Danish Council for Strategic Research (DSF) project Danish Council for Independent Research (FNU) project Administrative Roles: Current member of the Study Board for Mathematics and Computer Science Former Head of Studies for the Master in Computer Science Professional Activities: IFIP Technical Committee WG 2.11 member (2004–) Steering Committee roles at LOPSTR 2024, FLOPS 2024, HCVS 2024, RC 2024 Editorial Board member for New Generation Computing (2005–)

Cecilie Carlsen BachView profile

Researcher

• Mathematics Education
• Educational Technology
• Human-Computer Interaction
• +3 more

Cecilie Carlsen Bach is a Postdoc at the Department of Computer Science, University of Copenhagen, specializing in Human-Centred Computing. Her research bridges digital technologies and mathematics education, focusing on mathematical communication in dynamic geometry environments. University: University of Copenhagen Department: Department of Computer Science Section: Human-Centred Computing Her work explores how digital tools like DGEs enhance mathematical competencies and communication, particularly in K-12 settings. She investigates implementation challenges, design principles, and the cognitive impact of technology on learners. Recent publications highlight her contributions to implementation research, educational design, and digital pedagogy. Key themes include curriculum transition, software affordances, and competency-based learning frameworks. Scientific Award: AUFF's Ph.d.-pris (2023) Bach collaborates extensively on implementation studies and networking theories in mathematics education, with affiliations across Nordic institutions and European research societies.

Irina ShklovskiView profile

Professor

• Ethics in Technology
• Data Privacy
• Social Network Analysis
• +3 more

Irina Shklovski is a Professor in the Department of Computer Science at the University of Copenhagen, specializing in Human-Centred Computing. Her research focuses on ethics in technology, data privacy, and the societal implications of digital systems. She coordinates projects like VIRT-EU, investigating ethical practices in IoT development and promoting responsible technology design. Her work addresses challenges such as data governance, normalization of privacy intrusions, and the moral stress faced by technical professionals. Research interests span ethical AI, algorithmic accountability, and the human impact of emerging technologies. She advocates for educational reforms to instill ethical considerations in tech development. Collaborations include international studies on data ethics and hybrid work dynamics. Notable contributions include critiques of LLM-generated data in social sciences and explorations of artistic methods to envision future work environments.

Michele AlbanoView profile

Associate Professor

• Internet of Things (IoT)
• Energy Engineering
• Quality of Service (QoS)
• +5 more

Affiliations & Roles Michele Albano is an Associate Professor at the Department of Computer Science, Aalborg University, Denmark. He is affiliated with The Technical Faculty of IT and Design, focusing on research in IoT, Cyber-Physical Systems, and Edge Computing. He leads the Productive4.0 project (2017–2020), funded by Horizon Europe, addressing Industry 4.0 challenges in product lifecycle management. His work integrates formal verification tools like Uppaal with real-world applications in robotics, energy systems, and blockchain-based platforms. Research Interests Albano's research spans IoT architecture optimization , energy-efficient systems , and model-driven engineering . He develops tools for autonomous exploration algorithms (MAES), edge-cloud resource orchestration, and fault-tolerant computation offloading. His work bridges theoretical models (e.g., Uppaal SMC) with practical implementations in smart grids and robotic systems. Recent projects include blockchain-based crowdsourcing for machine learning and energy-aware thermal dynamics estimation in buildings. Collaborations & Impact He collaborates with the European Industry 6.0 community, contributing to the Arrowhead Framework for interoperable IoT systems. His research outputs include 112 publications, with 2025 highlights in human-inspired robotics and cognitive cloud frameworks. Media coverage in 2024–2025 highlights his work on green IT and secure API generation. Albano advises students on system modeling (e.g., ACSmt plugin development) and edge computing optimization. Labs & Teams His research group focuses on Cyber-Physical Systems and Smart Grids , with contributions to tools like RoutesMobilityModel and FlexHousing. He actively participates in workshops on New Trends in Software Architecture (SATrends '24) and IEEE conferences on Industrial Informatics.

Alex Elkjær VasegaardView profile

Researcher

• Operations Research
• Multi-Criteria Decision Analysis
• Artificial Intelligence
• +3 more

Alex Elkjær Vasegaard is a Postdoctoral Researcher in the Department of Materials and Production at Aalborg University's Faculty of Engineering and Science, specializing in human-AI decision systems for satellite and drone operations. His work focuses on making space technologies accessible for societal impact in smaller nations like Denmark. Education Ph.D. in Operations Research (2020-2023) MSc in Mathematics and Economics (Operations Research) (2017-2019) BSc in Mathematics and Economics (2014-2017) Research Focus Alex develops preference-based optimization frameworks to align autonomous systems with human decision-makers, particularly for disaster response and smart city operations . His core expertise spans multi-criteria decision analysis (MCDM), satellite scheduling algorithms, and UAV coordination, with strong contributions to UN Sustainable Development Goals through accessible Earth observation technologies. Publication Trends His 2024-2025 work shows intense focus on satellite image acquisition scheduling and drone detection systems , integrating MCDM with novel path algorithms. Key themes include human preference modeling in Earth observation, AI-driven oncology solutions, and open-source frameworks like EOSpython, bridging operations research with real-world societal applications. Awards ICRCA 2021 Best presentation award (2021) Rejselegat for matematikere travel grant (2019) Collaborations and Outreach He actively collaborates across engineering and computer science domains, evidenced by 6 similar research profiles in scheduling and UAV systems. His media feature 'BESLUTNINGER FRA HIMLEN' (2024) reached 6 Mendeley readers and 4 X users, highlighting public engagement with space technology decision-making. Research Group Alex operates within Aalborg University's Section of Applied Systems Research (Artificial Intelligence for Operations Research), developing practical tools for satellite mission planning and drone surveillance systems with societal impact.

Leon Eyrich JessenView profile

Associate Professor

• Bioinformatics
• Immunology
• Machine Learning
• +6 more

Leon Eyrich Jessen is an Associate Professor and Groupleader at the Department of Health Technology, Technical University of Denmark (DTU). He leads the Computational Autoimmunity research group, focusing on computational immunology with a particular emphasis on understanding disruptions in central tolerance and the mechanisms that allow the immune system to differentiate between self and non-self. His work aims to uncover immuno-cellular processes associated with autoimmune diseases through single-cell technology and machine learning-based bioinformatics tools. Dr. Jessen's research spans several key areas including Bioinformatics, Immunology, Machine Learning/AI, Data Science, and T-cell Biology. His work specifically addresses Computational Autoimmunity, Bayesian Modeling, and Molecular Evolution. He employs single-cell technology to investigate autoimmune disease mechanisms, with applications in psoriatic arthritis, diabetes, and other autoimmune conditions. His group develops computational methods for T cell receptor analysis, epitope prediction, and spatial transcriptomics. His recent publications demonstrate a strong focus on computational immunology, with key contributions in single-cell RNA sequencing, T cell receptor analysis, and spatial transcriptomics. His work bridges computational methods with immunological applications, particularly in autoimmune disease research. The research shows a consistent pattern of developing and applying machine learning algorithms to complex immunological data, with significant contributions to understanding T cell biology and autoimmune mechanisms. Dr. Jessen actively supervises PhD students including Drachmann, C., Montemurro, A., Povlsen, H. R., and Schaap-Johansen, A.-L. on projects related to single-cell analysis, immunoinformatics, and deep learning methods for immunotherapy. He is also the creator and instructor of "R for Bio Data Science," which is the third largest course at his department, demonstrating his commitment to education and training the next generation of bioinformaticians. He leads the Computational Autoimmunity group which focuses on developing, applying, and serving machine learning-based bioinformatics tools. The group works at the intersection of computational methods and immunological research, with particular emphasis on single-cell technologies and their application to autoimmune disease mechanisms.

Steen LysgaardView profile

Researcher

• Computational Materials Science
• Genetic Algorithms
• Battery Technology
• +5 more

Steen Lysgaard is a Scientific Software Developer at the Department of Energy Conversion and Storage , Technical University of Denmark . His work focuses on computational materials modeling for energy applications, particularly in battery technology and nanoalloy stability . He actively employs genetic algorithms and machine learning to accelerate materials discovery. His research contributes to UN Sustainable Development Goals in clean energy and climate action . Research Trends The 15 most recent publications highlight his expertise in: Computational methods : Integration of Bayesian evolutionary multitasking , genetic algorithms , and DFT simulations for materials design. Battery technology : Studies on aluminum batteries , zinc-air batteries , and ammonia storage systems. Nanomaterials : Structural stability analysis of nanoalloys , metal halides , and charge transport mechanisms in energy storage compounds. Professional Activities He has presented at conferences on topics such as: Atomic Simulation Environment software (2017) Zinc-air battery materials (2018) Strontium ammines (2010) NH3 diffusion in Mg(NH3)6Cl2 (2010) Contact: stly@dtu.dk

Kurt JensenView profile

Professor

• Model-driven systems development
• Modelling and validation of distributed systems
• Coloured Petri Nets
• +5 more

Kurt Jensen is a Professor at the Department of Computer Science, Aarhus University, Denmark. His academic career spans decades, focusing on formal modeling, concurrency, and software specification techniques. Research interests: Coloured Petri Nets, modeling and validation of distributed systems, simulation tools, and formal methods. Affiliation: Aarhus University, Department of Computer Science (School of Engineering not explicitly mentioned). His publications, including the seminal book series Coloured Petri Nets , emphasize theoretical computer science and practical applications in concurrent systems. Key contributions include the Invariant Method for Petri Net analysis and tools for system validation.

Simy Kaur GahooniaView profile

Research Fellow

• Science and Technology Studies
• Technology Comprehension
• Ethnography
• +7 more

Simy Kaur Gahoonia is a Postdoctoral Researcher (Research Fellow) at IT University of Copenhagen's Technologies in Practice research group, specializing in Science and Technology Studies (STS) and feminist critical pedagogy. Her work examines technology comprehension in educational contexts through ethnographic and design anthropological methods, with a focus on Danish public schooling and digital labor. Her research interests span technology comprehension, postdigital education, and the materiality of computing, emphasizing feminist and decolonial approaches to prototyping and curriculum development. She investigates how creative practices—such as poetry and metaphor—enliven labs as sites for critical pedagogy, challenging traditional 'black box' narratives in technology studies. Gahoonia's publications (2020-2024) reveal a cohesive trajectory exploring prototyping as a tool for citizenship education and social participation, with increasing emphasis on feminist praxis and postcolonial STS frameworks. Her work bridges theoretical STS concepts with practical educational interventions, particularly in public school settings. As a co-investigator on the Velux Foundation projects DaR (Data as Relation, 2016-2021) and WaD (Welfare after Digitalization, 2020-2023), she contributed to studies on data governance and digital welfare systems. She actively engages in academic communities through conference organization (e.g., 4S/ESOCITE 2022, DASTS Conference 2022) and international collaboration, including a visiting researcher position at Deakin University (2022).