Find Academic Supervisors

Diego F. AranhaView profile

Associate Professor

• Cryptography
• Cybersecurity
• Homomorphic Encryption
• +7 more

Diego F. Aranha is an Associate Professor in the Department of Computer Science at Aarhus University . His research focuses on cryptographic systems, cybersecurity, and privacy-preserving technologies with applications in voting systems, post-quantum cryptography, and secure computation. He has contributed extensively to homomorphic encryption, secure multiparty computation (MPC), and cryptanalysis of cryptographic implementations. Key projects include: MPCC (2025-2028) : Multi-Party Computation in the Confidential Cloud SCI (2024-2027) : Secure Computation Infrastructures for the Retail Industry RENAIS (2021-2026) : Residue Number Systems for Cryptography His work emphasizes practical efficiency and formal verification of cryptographic protocols. Recent publications highlight advancements in lattice-based cryptography, secure voting schemes, and mitigating side-channel vulnerabilities in post-quantum algorithms. He actively collaborates on open-source cryptographic libraries and standards, with a focus on bridging theoretical security and real-world implementation challenges.

Niels Henrik MortensenView profile

Professor

• Product Architecture
• Modularization
• Maintenance Performance
• +3 more

Niels Henrik Mortensen is a Professor and Head of Section in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on engineering design and manufacturing systems, with emphasis on product architecture, modularization, maintenance performance, and AI-driven design solutions. He leads initiatives in engineer-to-order systems, lifecycle costing, and digital transformation in manufacturing. Key research interests include optimizing product architectures for modular systems, enhancing maintenance strategies through data analytics, and applying AI to improve CAD design reuse. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure, and sustainable energy systems. Supervisor for 5 active PhD projects focused on modular architectures, logistics services, and configuration systems Published 175+ peer-reviewed articles, including work on AI-based maintenance frameworks and configurator development Recipient of industry collaboration projects with offshore energy and manufacturing sectors Notable contributions include frameworks for maintenance performance diagnostics and adaptable configuration models. His team operates through MEK and CONSTRUCT research groups at DTU.

Selin KaraView profile

Professor

• Industrial Biotechnology
• Biocatalysis
• Enzyme Immobilisation
• +3 more

Professor Selin Kara is affiliated with the Department of Biological and Chemical Engineering at Aarhus University, Faculty of Engineering. Her primary research focuses on Industrial Biotechnology, Biocatalysis, and Process Intensification, with expertise in Enzyme Immobilisation and Sustainable Process Engineering. She leads projects exploring novel biocatalytic processes, non-conventional reaction media, and the optimization of enzymatic reactions for industrial applications. Her research integrates experimental and computational approaches to enhance enzyme performance in non-aqueous solvents like deep eutectic solvents (DES) and lipid-based systems. Projects include developing photocatalytic synthesis methods, fusion enzymes for enzymatic cascades, and novel hydrogel characterization techniques. She has contributed to advancing light-driven sustainable biocatalysis and improving antimicrobial biomaterials. Key projects include the PHOTOX-f initiative (2025) and PhotoBioCat network (2018-2022), focusing on light-dependent biocatalytic systems and sustainable chemical production. Her work emphasizes industrial applications, environmental impact analysis, and process optimization for scalable biocatalytic solutions. Award-winning educator and researcher, Professor Kara collaborates internationally and holds a prominent role in training early-stage researchers in sustainable biocatalysis through EU-funded networks. Her labs specialize in enzymatic process development, material characterization, and continuous flow bioreactors.

• Climate Dynamics
• Numerical Weather Prediction (NWP)
• Atmospheric Modeling
• +3 more

Professor Eigil Kaas is affiliated with the Niels Bohr Institute at the University of Copenhagen . His work spans climate dynamics , numerical weather prediction (NWP) , and atmospheric modeling . As former Section Head of Climate and Computational Geophysics , he leads research on climate-chemistry coupling and sea ice impacts. Education : MSc (1987) and PhD (1993) in Meteorology from University of Copenhagen Research Focus : Climate dynamics and physics Numerical methods in atmospheric models Machine learning for weather prediction Arctic sea ice-climate interactions Thunderstorm electricity and radiation Coupled atmosphere-ocean modeling Article Trends : Recent work combines neural networks with radiative transfer optimization Focus on storm dynamics and gamma-ray flashes Extreme precipitation modeling under climate change Pioneering tidal flow studies in Faroe Island fjords Teaching Legacy : Instructor of Atmospheric Physics and Dynamical Meteorology courses Developed zonally averaged climate model for educational use Mentored 12 PhD/MSc students with DMI/ECMWF collaborations Professional Roles : Chairman of BFI Group 28 (Geosciences & Climate) Scientific Advisory Committee member at ECMWF Project lead in EU ENSEMBLES and PEGASOS initiatives

• Declarative Process Modeling
• Process Mining
• Formal Verification
• +4 more

Paul Cosma is a Postdoctoral Researcher at the Department of Computer Science (DIKU), University of Copenhagen, specializing in the Software, Data, People & Society (SDPS) section. His work focuses on declarative process modeling, formal verification, and explainable AI systems, with strong connections to process mining and Petri net theory. He completed his PhD at the University of Copenhagen's Faculty of Science in 2024 with a thesis on declarative process models as verifiable AI. His research interests center on declarative process modeling and formal verification of complex systems. Cosma develops techniques for improving model simplicity through nested group discovery and creates frameworks like BERMUDA for participatory mapping of domain activities to event data. His work bridges theoretical computer science with practical applications in business process management and AI explainability, emphasizing human-centered design principles where software systems are developed with societal impact in mind. Cosma's publication record shows a clear trajectory in process modeling research, with recent work focusing on transforming Dynamic Condition Response Graphs to Safe Petri Nets (2023) and improving declarative model simplicity (2024). His research demonstrates strong interdisciplinary connections between formal methods, AI verification, and human-computer interaction, particularly in making complex process models accessible and verifiable. Cosma actively collaborates with researchers including Thomas Hildebrandt, Tijs Slaats, and Axel Christfort, primarily within the SDPS section at DIKU. His work receives consistent citations in process mining literature, with his 2023 PETRI NETS paper accumulating 1 citation and his CAiSE 2024 paper gaining 2 Scopus citations. He maintains an ORCID profile (0000-0001-8022-6402) and contributes to open-access research through the university's Pure repository. Based in Sigurdsgade 41, Copenhagen N, Cosma operates within DIKU's collaborative research environment that emphasizes industry partnerships and interdisciplinary work. His recent PhD defense (June 13, 2024) marks his transition from doctoral candidate to postdoctoral researcher, positioning him to expand his contributions to process-aware information systems and verifiable AI.

Jens Myrup PedersenView profile

Professor

• Cybersecurity
• Network Security
• Machine Learning
• +5 more

Jens Myrup Pedersen is a Professor at Aalborg University's Department of Electronic Systems within The Technical Faculty of IT and Design. He is affiliated with the Cyber Security Group and focuses on improving digital wellbeing through cybersecurity research. His primary research interests include botnets, network security, machine learning applications in cybersecurity, and cybersecurity education. He leads or participates in projects such as Cyber Safe Robotics , AI:SECURITY , and GAMESS , addressing topics like AI-driven security, gamification in education, and secure software development. Pedersen has contributed to over 235 publications since 2003, emphasizing cybersecurity threats, network analysis, and educational methodologies. His work extends to cybersecurity training platforms like Haaukins and The Privacy Universe , designed to enhance user awareness through gamification. Pedersen collaborates internationally, engaging in initiatives like the European Cyber Security Challenge and cybersecurity hackathons. He holds roles in professional organizations such as the Danish Cybersecurity Board and the IDA association. Recent research highlights include NLP security ethics, OT cyber resilience, and cryptocurrency forecasting tools. His projects often bridge academia and industry, focusing on real-world impact through student-driven projects and cross-disciplinary collaborations.

• Human Factors
• Human-Computer Interaction
• E-Health
• +6 more

John Paulin Hansen is a Professor at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics under the Technology and Business Studies school. His research focuses on human factors, human-computer interaction, and assistive technologies, particularly in gaze interaction and rehabilitation robotics. He holds a Ph.D. from Aarhus University (1992) and has led research groups at institutions like Risø National Laboratory and the IT University of Copenhagen. His work emphasizes improving quality of life for individuals with motor disabilities through innovations like The Eye Tribe and GazeIT lab initiatives. Research Interests include: Eye-tracking technology and gaze interaction systems Exoskeletons and AR interfaces for stroke rehabilitation Human digital twins in healthcare Telepresence robotics accessibility Brain-computer interfaces (BCI) Key Achievements: Founded EU’s COGAIN network, co-created The Eye Tribe startup (acquired by Facebook/Oculus), and leads the GazeIT lab supported by the Bevica Foundation. His projects address sustainable development goals through inclusive technology solutions. Awards: Vanførefondens Forskerpris 2018 Multiple Best Paper Awards (2019–2022) Reviewers' Favourite Best Paper Award at DESIGN2022 Advising & Grants: Mentor to startups like The Eye Tribe and Orbital (acquired by GN Audio). Current projects include EU Horizon 2020 Rehyb initiative for AR exoskeleton interfaces and Human Digital Twin applications in rehabilitation. Labs/Teams: GazeIT lab pioneers assistive tech innovations, collaborating with LEGO and Serious Games Interactive. Active in developing inclusive design pedagogy and digital twin methodologies for healthcare.

• Artificial Intelligence
• Cybersecurity
• Programming Languages
• +9 more

Sandra Greiner is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where she conducts research in artificial intelligence, cybersecurity, and programming languages. Her work is centered on improving the reliability and adaptability of control software in cyber-physical production systems through advanced software engineering techniques. Her research interests include software variability modeling , design by contract , and the application of generative AI in automating software development tasks. She focuses on ensuring high reliability in software-intensive systems, particularly in industrial automation contexts. Her work bridges theoretical computer science with practical software engineering challenges. The recent publications highlight a strong trend in leveraging AI for software contract generation, enhancing feature tracing with reliable knowledge, and managing variability in complex production systems. Her research contributes to model-driven engineering, software product lines, and intelligent software assistance, with a consistent emphasis on empirical validation through case studies. Sandra actively collaborates with researchers across Europe, particularly in Austria and Germany, contributing to top-tier conferences such as SPLC, MODELS, and GPCE. Her work has been published in high-impact journals and conference proceedings, reflecting active engagement in the global software engineering community. She is affiliated with the IMADA research center at SDU, as evidenced by her institutional email. No formal awards or fellowships are mentioned in the provided data. Sandra advises no publicly listed students, and there is no indication of lab leadership or team management in the text. However, her collaborative publications suggest participation in research teams focused on software product lines and AI-driven software engineering.

Peder Veng SøbergView profile

Associate Professor

• Sustainable Supply Chain Management
• Additive Manufacturing
• Knowledge Management
• +3 more

Peder Veng Søberg is an Associate Professor at the Department of Engineering Technology and Didactics Production, Transportation and Planning at the Technical University of Denmark (DTU). His work contributes to the UN Sustainable Development Goals, particularly in sustainable supply chain management and innovation. He holds an office at Lautrupvang 15 in Ballerup, Denmark, and can be reached at peders@dtu.dk . His research focuses on additive manufacturing, knowledge management in SMEs, sustainability performance, and supply chain strategies. Key areas include optimizing part identification for 3D printing, aligning university-industry collaboration, and evaluating ERP systems for small businesses. His work bridges technical and educational aspects of engineering technology. Recent publications highlight trends in sustainability innovation, disruptive organizational adaptation, and leveraging AI in emerging markets. His projects include the BB2: Bæredygtig Bundlinje 2.0 initiative addressing sustainable practices in supply chains. No scientific awards are listed, but his contributions emphasize practical industry applications and educational partnerships.

John Stouby PerssonView profile

Associate Professor

• Information Systems
• Agile Software Development
• Pragmatism
• +7 more

John Stouby Persson is an Associate Professor in the Department of Computer Science at Aalborg University's Technical Faculty of IT and Design, specializing in Human-Centered Computing. His research focuses on practical problems experienced by software engineers, interaction designers, and IT professionals, with particular interest in agile development, user experience integration, and digitalization challenges. His research interests span information systems, agile software development, pragmatism, action research, digitalization, IT project management, and big data analytics. Persson approaches research as a collaborative practice of understanding and solving problems in organizing and leading system development, working with both public and private organizations. He has been particularly concerned with how information systems and digitalization are shaped by globalization, sustainability, value complexity and pragmatism. His recent publications show a strong trend toward the integration of AI tools in software development, UX practices, and addressing energy-related challenges through digital solutions. His work bridges practical software engineering concerns with theoretical frameworks, often using action research methodologies to develop solutions grounded in real-world contexts. Scientific Awards: Best paper award at the 12th Scandinavian Conference on Information Systems (SCIS 2021) Persson actively engages with both academic and public discourse, having participated in numerous conferences and provided expert commentary on digitalization initiatives including the Danish CoronaPass system. His consulting work demonstrates practical application of his research, particularly in realizing benefits from digitalization projects. His research aligns with UN Sustainable Development Goals, particularly those related to sustainable communities and responsible consumption.

Veit SchwämmleView profile

Associate Professor

• Computational Proteomics
• Bioinformatics
• Mass Spectrometry
• +10 more

Veit Schwämmle is an Associate Professor in Computational Proteomics and Bioinformatics at the Department of Biochemistry and Molecular Biology, University of Southern Denmark (SDU), where he leads the Computational Proteomics Group. His research focuses on developing computational solutions for large-scale omics data analysis, particularly in proteomics and post-translational modifications. PhD in Physics, University of Stuttgart (2006) Postdoctoral Fellowships: Centro de Pesquisas Fisicas (Rio de Janeiro), ETH Zürich Postdoctoral Researcher and Assistant Professor, University of Southern Denmark Research interests include software and workflow development for protein mass spectrometry data analysis, chromatin biology through histone modifications, tools for omics data quantification and interpretation, and the application of deep learning methods to improve proteomics data processing. His work bridges physics-based modeling and biological data science, with a strong emphasis on open, reproducible research. His recent publications highlight trends in machine learning for proteomics, benchmarking of analysis workflows, and community-driven bioinformatics standards. He is actively involved in international initiatives like EuBIC-MS and bio.tools, promoting software interoperability and training. Member of the European Bioinformatics Community for Mass Spectrometry (EuBIC-MS) Contributor to the bio.tools registry for life sciences software Advocate for open science and reproducible workflows He supervises researchers and students in computational proteomics and has contributed to numerous collaborative projects in systems biology and biomedical mass spectrometry. His group develops tools such as VIQoR, CrossTalkMapper, and MetaboLink, supporting the broader scientific community. Visit the group’s webpage: http://computproteomics.bmb.sdu.dk

• Software Process Improvement
• Organizational Change
• Quality Management
• +3 more

Peter Carstensen serves as a Part-time Lecturer at the University of Copenhagen's Department of Computer Science (DIKU), affiliated with the Software, Data, People & Society research section. His office is located at Sigurdsgade 41, 2200 København N., and he maintains active scholarly engagement through recent publications in software process improvement conferences. Carstensen's research focuses on organizational change methodologies within software engineering contexts, particularly examining how to design effective improvement plans and implement strategic changes. His work bridges theoretical frameworks with practical applications in process assessment and quality management systems, contributing to the evolution of standards like ISO/IEC 33014. Analysis of his publication trends reveals consistent contributions to the EuroSPI conference series, with increasing sophistication in addressing organizational change complexities. His research trajectory shows progression from foundational aspects of improvement strategies (2017-2018) toward more comprehensive modeling approaches (2020-2024), demonstrating deepening expertise in tactical implementation frameworks. No scientific awards or honors are documented in the available materials. While specific advising relationships aren't detailed in the provided information, Carstensen's collaborative pattern shows consistent partnership with O. Vinter across multiple publications, suggesting a significant research collaboration. His work appears connected to institutional quality management initiatives though specific grant funding isn't mentioned. No laboratory or dedicated research team affiliations are specified beyond his membership in the Software, Data, People & Society research section.

Steffan Noe Niikanoff ChristiansenView profile

Research Fellow

• Genetics
• Cardiology
• Molecular Biology
• +5 more

Steffan Noe Niikanoff Christiansen serves as a Postdoctoral Researcher at the Department of Health Science and Technology within the Faculty of Medicine at Aalborg University, Denmark. His research program focuses on elucidating the genetic and epigenetic mechanisms underlying sudden cardiac death in young individuals, with particular emphasis on calmodulinopathies and DNA methylation patterns in cardiac tissues. His academic credentials include: PhD in Oral Sciences, Forensic Medicine and Bioanthropology from the University of Copenhagen (2017-2022) MSc in Molecular Medicine from Aarhus University (2014-2016) BSc in Molecular Medicine from Aarhus University (2011-2014) Christiansen's research integrates molecular cardiology with forensic applications, investigating how DNA and RNA variations contribute to cardiac arrhythmias and sudden death. His work addresses critical challenges in variant interpretation by examining calmodulin gene mutations (CALM1/CALM2/CALM3) and epigenetic modifications, particularly DNA methylation alterations in cardiac development and postmortem tissues. This research has significant implications for improving genetic testing accuracy and risk stratification in clinical and forensic contexts. Analysis of his publication trajectory reveals a pronounced methodological focus on epigenetic techniques, with increasing specialization in cardiac methylation patterns since 2021. His recent work demonstrates sophisticated integration of genomic technologies across cardiac and neurological contexts, consistently bridging basic science with clinical applications through advanced bioinformatics approaches. As Principal Investigator of the Danish Cardiovascular Academy project "The Deadly, the Deleterious, and the Dangerous – Decoding the Differential Pathogenicity among CALM1, CALM2, and CALM3" (2024-2026), Christiansen leads a multi-institutional collaboration investigating calmodulin variant pathogenicity. This project involves key partners including the University of Copenhagen and international experts in cardiac genetics. He actively contributes to methodological advancement through tools like the "Snpbeadchip" R package for genomic analysis, while maintaining active collaborations across Danish research institutions as evidenced by his network map showing extensive domestic and international connections.

Erik KjemsView profile

Part-Time Lecturer

• Civil Engineering
• Environmental Engineering
• Augmented Reality
• +13 more

Erik Kjems is a Part-time Lecturer in the Department of the Built Environment at Aalborg University’s Faculty of Engineering and Science. His work bridges civil engineering and digital innovation, focusing on the integration of advanced technologies into infrastructure planning and management. University: Aalborg University School: Faculty of Engineering and Science Department: Department of the Built Environment Position: Part-time Lecturer Email: kjems@build.aau.dk ORCID: 0000-0002-4519-6583 His research interests are centered around digital transformation in civil infrastructure, including augmented and virtual reality (AR/VR), 3D city modeling, BIM, reality capture, data fusion, blockchain applications, and intelligent transport systems. He explores how digital tools can improve decision-making, safety, and efficiency in road and utility projects. The most recent publications (2021–2024) reflect a strong trend toward practical applications of AR/VR in subsurface utility visualization, digital twins, permeable pavement materials, and data integration for infrastructure. These works emphasize field deployment, user interaction, and reconciliation of heterogeneous data sources. His research combines technical innovation with real-world validation through collaboration with utility companies and public agencies. Erik Kjems has participated in multiple research projects, including BLING: Blockchain in Government and Integrated Project Development for Road Infrastructure Education , demonstrating sustained engagement in funded research. He has also contributed to public discourse through media appearances on road pricing and digitalization in transportation. He has supervised at least one PhD student and is actively involved in academic and professional networks. His activities include participation in workshops, conferences (e.g., buildingSMART International Standards Summit), and seminars focused on digital infrastructure and BIM. Notable labs or collaborative environments include involvement in the 3D Visual Data Mining (3DVDM) project and the Videncenter for 3D GeoInformation , indicating long-standing expertise in geospatial visualization and digital modeling.

Marianne FormanView profile

Researcher

• Construction Management
• Sustainable Construction
• Work Environment Studies
• +3 more

Marianne Forman is a Senior Researcher at Aalborg University's Department of the Built Environment within The Faculty of Engineering and Science. Her research focuses on construction management, work environments, digital infrastructure, and innovative practices in the construction industry. She leads projects like Digital Infrastructures in Construction and collaborates with industry partners to address challenges in building automation, sustainability, and organizational change. Her work emphasizes the intersection of technology and human factors, such as ICT impacts on mental health in construction organizations and the role of data systems in facilities management. She has contributed to over 60 publications since 1999, with recent studies exploring organizational change in education and smart building technologies. Key projects include 'Digital Infrastruktur i byggeriet og arbejdsmiljøet' and 'Build 4.0', focusing on digital transformation, safety, and innovation. Her research also addresses sustainability through circular value chains and client-driven innovation strategies. She actively engages in academic activities, including conference presentations and media discussions on construction industry challenges.