Agile Software Development Professors and Supervisors in Denmark | ApplySharif

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Sara ShafieeView profile

Researcher

Technical University of DenmarkDenmark

Sara Shafiee is a Senior Researcher at the Department of Civil and Mechanical Engineering , Technical University of Denmark (DTU) . She specializes in product configuration systems, manufacturing engineering, and AI-driven innovation. Her work bridges technical systems with organizational agility, emphasizing sustainability and customer-centric design. External Roles: Founder & CEO of DivERS (Jan 2021–) External Lecturer at Copenhagen Business School (2022–2024) Senior Business Consultant at Haldor Topsoe AS (2017–2019) Research Focus: Her work addresses challenges in product configuration systems, generative AI applications, and sustainable construction. Key themes include: Optimal product design through recommendation systems Agile methodologies in knowledge-intensive development Environmental impact monitoring via configurators Publications Trends (2023–2025): Recent work explores AI-driven manufacturing optimization, consumer-centric innovation strategies, and the integration of environmental monitoring into design systems. High-impact areas include generative AI applications (13K+ downloads) and modular construction configurators. Awards: Agnes & Betzy Award (2025) Nordic Women in Tech Leadership Award (2022) Best Digital Startup (Venture Cup Denmark, 2021) Innovation Fund Denmark Role Model (2018) Advising & Grants: Supervised PhD projects on recommendation systems and configurator design. Lead PI of the RECODE project (DFF Grant DKK 10M+, 2024–2027) focusing on deep learning for engineer-to-order systems. Labs & Teams: Core member of DTU’s Design and Manufacturing Systems group, collaborating with industry partners like Haldor Topsoe and DivERS to develop scalable configurator solutions.

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Emilia MendesView profile

Professor

Aarhus UniversityDenmark

Emilia Mendes is a Full Professor in the Department of Electrical and Computer Engineering at Aarhus University . Her research focuses on Empirical Software Engineering , particularly human-centric approaches, evidence-based decision-making, and the application of machine learning and statistical techniques in software development. Current research themes: Human-Centric Software Engineering, Evidence-Based Research, Statistical/Machine-Learning Techniques, and Value-Based Software Engineering. Developed tools for team climate forecasting, capability measurement, and value-based decision-making. Research Trends: Her work bridges software engineering with psychology (personality traits, team dynamics), machine learning (effort estimation, dementia prognosis), and value-based frameworks for decision-making. She emphasizes industrial applications, including agile methodologies, cross-company predictions, and Bayesian network modeling. Scientific Impact & Awards: 10,018 citations, h-index 58. Ranked #32 in Empirical Software Engineering Scholars (Google Scholar). Ranked #20 in Top Computer Science Scientists in Sweden (2023). Top 2% scientist in the world (2019, 2020, 2022; only female in Sweden for SE in 2022. Nine best paper awards at international conferences. Editorial board member: Information and Software Technology , ACM Computing Surveys , former roles at IEEE Transactions on Software Engineering and others. Grants & Leadership: Awarded €11.921.603 in research grants. Held leadership roles as General Chair (EASE 2017), PC Co-Chair (EASE 2012, ESEM 2012), and active participant in 200+ academic events.

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Yvonne DittrichView profile

Professor

IT University of CopenhagenDenmark

Yvonne Dittrich is a Professor at the IT University of Copenhagen (ITU), affiliated with the Software Development Group. She holds an adjunct professorship at IIT Mandi, India, and has held roles at institutions in Sweden, Canada, and the U.S. Her research focuses on cooperative and human aspects of software engineering, including Continuous Software Engineering (CSE), use-oriented design, and end-user development (EUD). She has led projects like SAIA-Farm (sustainable irrigation via satellite analytics) and contributed to frameworks like 'Cooperative Method Development.' **Education**: PhD in Computer Science (Hamburg University, 1997), M.Sc. from TU Darmstadt. **Research Interests**: She pioneers methods bridging software engineering with human-centric practices, emphasizing sustainability and participatory design. Her work addresses challenges in global software development, agile methodologies, and software ecosystems. **Awards**: TAT-Förderpreis (1989), Best Paper Award (2018), Distinguished Reviewer recognition (2018). **Grants & Leadership**: Led projects funded by the Danish Innovation Fund, EU, and others. Served on editorial boards for IEEE Transactions on Software Engineering and Journal of Systems and Software. **Labs/Teams**: Collaborates with labs in Denmark, India, and Canada on interdisciplinary projects, including smart irrigation systems and fintech ESG data commons.

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Alvaro TorralbaView profile

Associate Professor

Aalborg UniversityDenmark

Alvaro Torralba is an Associate Professor in the Department of Computer Science at Aalborg University, Denmark, affiliated with the Technical Faculty of IT and Design. His research focuses on symbolic search, heuristic functions, and planning algorithms within artificial intelligence and machine learning. Notable projects include the ConAn initiative exploring contrastive analysis for state-space exploration. He has contributed extensively to classical planning, probabilistic planning, and automated planning competitions, earning awards such as the First Prize in the Agile Track of the 10th International Planning Competition (IPC’23). His work often bridges theoretical advancements with practical applications, including game-based network update synthesis and believable non-player character development. Research outputs include over 60 publications since 2011, with a focus on optimizing search algorithms and enhancing planning efficiency through techniques like operator-potential heuristics and bidirectional search strategies. His scientific contributions span algorithmic innovation, verification methodologies, and large-scale abstraction evaluation. Collaborations and datasets include foundational work on PDDL generators and pattern databases, with open-access resources available via Zenodo. As a program committee member and award-winning researcher, Torralba actively contributes to advancing the frontiers of AI planning and decision-making systems.

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Niels van BerkelView profile

Professor

Aalborg UniversityDenmark

Niels van Berkel is a Professor in the Department of Computer Science at Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on Human-Centered Computing and AI for societal benefit, with key projects including the HERD initiative on human-robot collaboration and initiatives to enhance mental health through digital tools. He leads multiple research projects involving AI ethics, healthcare applications, and swarm robotics. His educational background includes a Ph.D. in Computer Science. Research interests span AI explainability, human-AI interaction design, and the ethical implications of AI systems in healthcare and daily life. He has supervised 1 doctoral student and contributed to over 169 research outputs across journals, conferences, and datasets. Notable contributions include work on chatbot-driven data collection, coordination in AI development teams, and swarm robotics for search & rescue. His project 'AI for the People' emphasizes technology's role in improving societal wellbeing, while collaborations with medical professionals address chronic pain management and telehealth innovations. He received the DIS 2024 Honourable Mention and has actively engaged with media to communicate research impacts, including discussions on AI ethics and robot swarms. His work bridges technical innovation with human-centric design principles, addressing challenges in explainable AI, moral agency perceptions, and sustainable urban mobility solutions.

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Alex Elkjær VasegaardView profile

Researcher

Aalborg UniversityDenmark

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.

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Robb MitchellView profile

Associate Professor

University of Southern DenmarkDenmark

Robb Mitchell is an Associate Professor at the University of Southern Denmark, affiliated with the Centre for Learning Computational Thinking and the Department of Design and Communication . His research focuses on the intersection of technology, design, and social interaction, emphasizing embodied learning, collaborative interfaces, and the ethical implications of digital tools. Mitchell explores how tangible and digital systems can enhance education, social connectivity, and creative expression through experimental designs. His work spans areas such as Human-Computer Interaction , Embodied Learning , and Collaborative Technologies , with a particular interest in fostering convivial interactions and addressing interpersonal gaps through design. Mitchell’s publications reflect a commitment to innovative methodologies, including participatory design, prototyping, and empirical studies of user behavior. Key themes in his research include: Designing tools for educational and social contexts Exploring the role of technology in everyday interactions Developing frameworks for sustainable and ethical technology integration While no explicit awards or grants are listed, Mitchell’s extensive publication record and involvement in interdisciplinary research initiatives highlight his contributions to the field. His work often bridges academic research and practical applications, aiming to create meaningful technological interventions in real-world settings.

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Brian FitzgeraldView profile

Professor

Copenhagen Business SchoolDenmark

Professor Brian Fitzgerald is a leading academic in software engineering and information systems. He holds the Frederick A Krehbiel II Chair in Innovation in Business and Technology at the University of Limerick and serves as Director of Lero – the Irish Software Research Centre. His work bridges academic research and industry collaboration, with a focus on global software development practices and innovation. University: University of Limerick Role: Director of Lero (Irish Software Research Centre) Rank: Professor His research interests span software engineering methodologies, including agile and lean approaches, open source/inner source development, global software engineering, and the impact of software on societal values through the TREES programme. He has contributed extensively to top-tier journals like MIS Quarterly, Information Systems Research, and IEEE Transactions on Software Engineering. Key Trends: Agile methods, open source adaptation, global collaboration frameworks, and ethical software engineering Recent Focus: Trustworthy, responsible, and efficient software engineering (TREES) with Huawei Professor Fitzgerald has received prestigious accolades such as the AIS Fellow award and best paper awards at ICIS and Open Source Software Conferences. He currently leads large-scale funded projects like the €6m Huawei collaboration and has served as President-Elect of the Association for Information Systems (AIS). Scientific Awards: AIS Fellow award (2017) ICIS Best Conference Theme Paper award (2000) Best Conference paper award (2005) He has mentored numerous researchers and contributed to editorial boards of leading journals, while maintaining a strong focus on translating academic research into industry impact through Lero’s initiatives.

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John Stouby PerssonView profile

Associate Professor

Aalborg UniversityDenmark

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.

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Daniel RussoView profile

Associate Professor

Aalborg UniversityDenmark

Dr. Daniel Russo is an Associate Professor in the Department of Computer Science at Aalborg University, Copenhagen. He holds a PhD from the University of Bologna and previously conducted postdoctoral research at University College Cork and Lero. His research focuses on empirical software engineering, AI adoption in development processes, diversity in software teams, and pandemic-driven work transformations. He has secured €1M+ in research funding and authored over 50 peer-reviewed publications. Key collaborations include defense agencies and multinational banks. Education Background: PhD in Computer Science and Engineering, University of Bologna Postdoctoral Researcher, University College Cork/Lero Research Interests: Russo explores how AI integration impacts software lifecycle practices, investigates Agile scaling effectiveness, and examines diversity's dual role in fostering innovation while managing team conflicts. His work emphasizes human-centered approaches to AI adoption, ensuring ethical and inclusive technological progress. Article Trends: Recent publications highlight generative AI's ethical implications, hybrid work models' evolution, and empirical studies on Agile methodologies. His work bridges technical innovation with organizational and human factors. Awards: ACM Future of Computing Academy (2019) Grants & Advising: Lead/co-investigator on projects totaling €1M+ funding. Advises on AI ethics, Agile transformations, and pandemic-era workplace adaptations. Collaborates with industry partners to translate research into practical solutions. Labs/Teams: Active in cross-disciplinary collaborations involving Lero, defense agencies, and financial institutions, focusing on applied software engineering challenges.

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Tim Pat McGinleyView profile

Associate Professor

Technical University of DenmarkDenmark

Tim Pat McGinley is an Associate Professor in Building Design at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU), where he leads studies in Digital Building Technologies. His work bridges architecture, engineering, and computational science, focusing on innovative design processes and digital tools. His research interests include: Building Information Modeling (BIM) and OpenBIM Computational and meta-disciplinary design analysis Sustainable and circular building systems Integration of acoustics in architectural design Digital fabrication and design automation Educational frameworks for the AEC industry His recent publications highlight a strong trend toward interdisciplinary collaboration, digital transition in construction, and educational innovation in building design. Key themes include OpenBIM workflows, lifecycle analysis of building elements, and pedagogical models for sustainable construction. Scientific contributions and service include: Peer reviewer for journals such as Intelligent Buildings International , Frontiers in Built Environment , and Botany Editorial work in construction and built environment research Member of the Innovation Platform (external organization) He is actively involved in research projects such as Digital twins for large infrastructure facilities and Introduction to Building Information Modeling and Digitalization (IBIMD) , where he contributes as a supervisor and project participant. He previously co-founded the Morphogenetic Prototyping Lab and Agile X Research Group at the University of South Australia. Tim has international professional experience, having worked in the UK, Netherlands, Australia, and Denmark, with affiliations at Foster + Partners, ONL, and TU Delft’s Hyperbody Research Group. His academic journey includes an Engineering Doctorate from the University of Reading (2013).

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Lars MathiassenView profile

Professor

Copenhagen Business SchoolDenmark

Lars Mathiassen is a GRA Eminent Scholar and Regents Professor at the Computer Information Systems Department within the Robinson College of Business at Georgia State University. He co-founded the Center for Digital Innovation and has maintained strong academic connections with institutions across Scandinavia through numerous visiting professorships. His educational background includes an M.S. in Computer Science from Aarhus University (1975), a Ph.D. in Computer Science from Oslo University (1981), and a Dr. Techn. in Software Engineering from Aalborg University (1998). He has also received honorary doctorates from Copenhagen University (2011) and Umeå University (2016). Mathiassen's research focuses on Digital Innovation , Health Informatics , IT Development & Management , and Action Research Methodology . His work employs Collaborative Practice Research, a methodology grounded in action research that emphasizes close collaboration with practitioners. His research spans multiple industries including healthcare, manufacturing, banking, pharmaceuticals, and information technology. His extensive publication record shows a consistent focus on practical applications of information systems theory, with recent work emphasizing digital innovation frameworks, health informatics applications, and the socio-technical aspects of digital transformation. His publications appear in top journals including MIS Quarterly, Information Systems Research, and Journal of MIS. Honorary doctor in science at Copenhagen University (2011) Honorary doctor in philosophy at Umeå University (2016) Fellow Award from the Association for Information Systems (2021) Regents Professor within the University System of Georgia (2023) Ranked among world's top two percent of most cited business researchers (2023) Mathiassen has supervised over 60 doctoral students throughout his career across multiple institutions. His research has been supported by significant grants from organizations including NSF, Genentech, Gartner, and Intel. He has served as Academic Director of the Executive Doctorate Program at Robinson College of Business from 2008-2023 and has held editorial positions at leading journals including MIS Quarterly, Journal of Information Technology, and Information & Organization. He leads multiple research initiatives through the Center for Digital Innovation, focusing on digital innovation in business contexts, IT development and management methodologies, healthcare informatics applications, and action research methodology development. His research approach consistently emphasizes collaboration with practitioners to ensure relevance to real-world challenges.

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Karl WerderView profile

Associate Professor

IT University of CopenhagenDenmark

Karl Werder is an Associate Professor in the Section of Digital Business Innovation at the IT University of Copenhagen. His research focuses on resolving inherent trade-offs in digital innovation, emphasizing tensions between qualities like complexity/agency in AI and their impact on trustworthiness. He collaborates internationally, including visiting roles at Laval University (CA) and Georgia State University (US). Associate Editor: Communications of the Association for Information Systems, Business & Information Systems Engineering Journal Editorial Review Board: Decision Sciences Journal His work appears in leading journals across information systems (Journal of Management Information Systems), software engineering (IEEE Transactions on Software Engineering), and management (California Management Review). Recent research spans responsible AI, design methods, and emotional dynamics in technology adoption. Notable awards include the 2025 Honourable Mention Award. Media engagements include IEEE Spectrum and BLOG@CACM, addressing generative AI consistency and licensing errors in public AI datasets.

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Anders LassenView profile

Part-Time Lecturer

University of CopenhagenDenmark

Anders Lassen is a Part-Time Lecturer at the Department of Computer Science , University of Copenhagen, under the Faculty of Science . His academic career combines software engineering with interdisciplinary collaborations in medical imaging and neuroscience . Specializes in database modeling and software complexity analysis Key collaborator in neuroimaging research (SPECT, MRI, GISAXS) Applies computational methods to biomedical and materials science challenges Research trends over two decades show expertise in both software metrics (Function Point Analysis, COCOMO models) and computational neuroscience (dopamine receptor imaging, brain volumetry). His work bridges relational database design and advanced imaging algorithms for biomedical applications. Contact: knh487@di.ku.dk | Mobile: +45 2089 8668

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Laura KockschView profile

Assistant Professor

Aalborg UniversityDenmark

Laura Kocksch is an Assistant Professor at Aalborg University’s Department of Culture and Learning, part of The Faculty of Social Sciences and Humanities. She is affiliated with The Techno-Anthropology Lab and MASSHINE, focusing on the socio-technical dynamics of cybersecurity, digital infrastructures, and repair practices. Her research bridges Science and Technology Studies (STS), Anthropology, and Human-Computer Interaction (HCI), emphasizing how humans navigate insecure technologies. A notable contribution is her 2024 monograph *Fragile Computing: How To Live With Insecure Technologies*, exploring societal adaptations to technological vulnerabilities. Her teaching integrates ethnographic fieldwork, digital methods, and participatory design, including courses on cybersecurity ethics, feminist STS, and data storytelling. She has co-supervised participatory data ethnographies, fostering student engagement with real-world data challenges. Beyond academia, she served as a board member of stsing e.V. (2020–2023) and collaborates with industry via projects like *Forskningssamarbejde med Erhvervsstyrelsen om Digital Sikkerhed*, addressing SME cybersecurity challenges through ethnographic insights. Kocksch leads or co-leads multiple interdisciplinary projects, including *DigiBreak-Ethnographic Perspectives on Telecommunication Disruptions and Cyberattacks* (2024–2027) and *GE-AI: Generative Ethnographic AI* (2023), which explore AI’s role in prolonging ethnographic encounters. Her work often highlights the interplay between technical systems and human practices, advocating for care-oriented approaches to cybersecurity. Her recent publications analyze cybersecurity in SMEs, generative AI in ethnography, and Arctic infrastructure breakdowns. While no explicit awards are listed, her active role in shaping cybersecurity discourse through teaching, research, and industry collaboration underscores her academic influence.

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