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Andrea Burattin is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark. His work bridges formal methods and practical process analysis, focusing on process mining, business process management, and hybrid modeling techniques. He actively contributes to research in healthcare process optimization, streaming data analysis, and system verification through Petri nets and CCS transformations. UN Sustainable Development Goals: Poverty eradication, environmental protection, and prosperity for all (via process optimization) Active projects: Immersive Process Mining (2024-2027), Usability and Understandability of Hybrid Process Models (2018-2021) His research explores large language model integration with process mining, proposing frameworks like Tiramisù for multi-faceted process visualization and PN2CCS for formal model translation. Recent work emphasizes real-time monitoring, conformance checking, and IoT-driven process analytics. Key trends in his publications include: 1) Streaming process mining pipelines (2022-2025); 2) LLM-plan generation frameworks (2024); 3) Formal verification techniques (Petri nets, CCS); 4) Healthcare process modeling (2019-2023); 5) Behavioral pattern analysis in process compliance. Scientific Awards Best Demo Award (2022, 2016) Best Process Mining Dissertation Award (2014) Best Workshop Paper (EDBA and PODS4H, 2023) As advisor, he supervises PhD projects on process mining and hybrid modeling. His editorial roles include Information Systems reviewer (2024-2025) and past editor for Engineering Applications of AI (2022-2023). Collaborations span Denmark, Italy, and the Netherlands.

• Process Mining
• Business Process Management
• Petri Nets
• +6 more

Pernille Bjørn is a Professor in Computer Supported Cooperative Work (CSCW) at the Department of Computer Science , University of Copenhagen (DIKU), where she has been since May 2015. Her research investigates collaborative work practices to design cooperative technologies, focusing on domains like healthcare, global software development, startup companies, and digital fabrication. Faculty of Science, University of Copenhagen Human-Centred Computing Section Research Interests : Bjørn’s work spans CSCW , Human-Computer Interaction , and Digital Fabrication , with applications in healthcare systems, cross-cultural software development, and inclusive technology design. She explores collaborative virtual reality training, FemTech, and crisis computing. ACM Distinguished Member (2024) Publications : Published in top venues like ACM Transactions on Computer-Human Interaction , CSCW , and CHI , her recent work examines hybrid work asymmetry, neurodiverse accessibility, and art-driven collaborative research.

• Computer Supported Cooperative Work (CSCW)
• Human-Centered Computing
• Human-Computer Interaction
• +7 more

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.

• Software Engineering
• Empirical Software Engineering
• Human-Centric Software Engineering
• +12 more

Tijs Slaats is an Associate Professor in the Software, Data, People & Society section at the Department of Computer Science, University of Copenhagen. His research focuses on Business Process Management with particular emphasis on declarative and hybrid process notations to provide flexible workflow support for knowledge workers, funded by the Danish Council for Independent Research. His educational background includes: M.Sc. in Information Technology from IT University of Copenhagen Ph.D. in Computer Science from IT University of Copenhagen (supervised by Thomas Hildebrandt) Dr. Slaats specializes in declarative process modeling, particularly Dynamic Condition Response (DCR) graphs which enable flexible workflow systems. His work bridges theoretical foundations with practical applications in cross-organizational settings. Recent research extends into blockchain technologies, smart contracts, and applications in sensitive domains like asylum processing and refugee law. He combines formal methods with empirical evaluation to ensure both correctness and usability of workflow systems. His publication pattern shows increasing application of process mining techniques to blockchain technologies and socially impactful domains, while maintaining core research in Business Process Management. Notable trends include integration of DCR graphs with smart contracts, privacy-preserving techniques for asylum data, and object-centric approaches to process discovery. Research funding includes: Hybrid Business Process Management Technologies project (Danish Council for Independent Research) Technologies for Flexible Cross-organizational Case Management Systems (FLExCMS) industrial Ph.D. project Alongside his academic work, Dr. Slaats maintains strong industry connections through Exformatics A/S where he developed the DCR Graphs workflow solution (www.dcrgraphs.net), and previously worked as a software engineer in the Dutch e-commerce sector. His dual expertise in academia and industry ensures his research addresses real-world workflow challenges while maintaining theoretical rigor.

• Business Process Management
• Declarative Process Modeling
• Hybrid Process Notations
• +5 more

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.

• Cooperative and Human Aspects of Software Engineering
• Continuous Software Engineering (CSE)
• Use Orientation in Software Engineering
• +7 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.

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

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.

• Artificial Intelligence
• Human-Computer Interaction
• Large Language Models
• +4 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.

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

Thomas Troels Hildebrandt is a Professor in the Department of Computer Science at the University of Copenhagen, where he heads the Software, Data, People & Society research section. His work focuses on developing reliable and flexible software systems that adapt to user needs and legislative changes, with applications in digital law, workflows, and business processes. His educational background includes: PhD in Computer Science from Aarhus University (awarded February 23, 2000) Professor Hildebrandt's research spans Software Engineering , Process Modeling , and Business Process Management , with a focus on declarative approaches like Dynamic Condition Response (DCR) graphs. His work integrates formal methods to ensure system reliability in contexts ranging from smart contracts to public governance. He actively explores societal implications of AI, advocating for transparency and user-centered design in digital systems. Recent publications demonstrate a strong trend toward declarative process modeling applied to smart contracts and public governance . Key developments include DCR graphs for dynamic behavior modeling, cross-chain business logic monitoring, and digital compliance frameworks. His interdisciplinary approach bridges computer science with real-world societal challenges, particularly in adapting systems to evolving legislation and user requirements. No specific scientific awards are mentioned in the provided information. Professor Hildebrandt leads interdisciplinary research projects and serves on advisory boards for digitalization and AI. His work has fostered industry collaboration, including founding DCR Solutions based on his research. He acts as an independent consultant and speaker in digital transformation, with recent projects focusing on blockchain integration and public sector AI ethics. He directs the Software, Data, People & Society research section, which develops human-centered methods for adaptable digital systems. Current initiatives include DCR graph applications for GDPR compliance, smart contract security, and transparent AI in public services, with strong industry and government partnerships.

• Software Engineering
• Process Modeling
• Business Process Management
• +5 more

Davide Mottin is an Associate Professor at the Department of Computer Science, Aarhus University. His primary research focuses on graph theory, machine learning, and data mining, with significant contributions to knowledge graphs, algorithm design, and interdisciplinary applications in drug discovery and material science. He holds a leadership role in large international conferences such as CIKM 2024 as a Program Chair. His research explores scalable graph algorithms (e.g., subgraph matching, alignment), robust knowledge graph cleaning, and leveraging large language models for scientific tasks. Mottin has pioneered work on spectral methods for graph analysis (e.g., NetLSD, VERSE embeddings) and developed frameworks for interactive data exploration (e.g., X2Q, MetaExp systems). Key contributions include FUGAL for graph alignment and Ucode for community detection Active in reproducibility efforts, as seen in retraction notices and algorithmic redesigns Focus on practical applications in drug discovery via evolution-based models (EvolMPNN) He has authored over 60 peer-reviewed publications and holds grants supporting interdisciplinary research at the intersection of computer science and life sciences. Mottin is affiliated with the university's AI and data science initiatives, contributing to both theoretical advancements and real-world system implementations.

• Graph Theory
• Machine Learning
• Data Mining
• +4 more

Michael Szell is an Associate Professor at the IT University of Copenhagen (ITU), affiliated with the Data Science Networks, Data, and Society Center for Climate IT. He holds external positions including Affiliate at the Danish Pioneer Centre for AI (since Feb 2023), External Researcher at the Institute for Scientific Interchange Foundation (2019–2024), and External Faculty at the Complexity Science Hub (since 2017). Research Interests : Social networks, human mobility, computational social science, data science, urban sustainability, network science, and infrastructure design. His work focuses on urban systems, bicycle networks, mobility patterns, and data-driven strategies for sustainable urban planning. Awards : Received the Årets Forskningsmiljø 2022 award for contributions to research environments. Projects : Currently leads projects like NADanBI (Danish Road Directorate, 2022–2025) and JUST STREETS (European Commission, 2024–2027), focusing on bicycle infrastructure analysis and spatial justice in urban mobility. Publications : Over 50 peer-reviewed papers, including high-impact work on bicycle network growth, universal visitation laws in human mobility, and urban superblock modeling. His research bridges data science, urban planning, and computational modeling to address sustainability challenges. Contributions : Developed tools like superblockify and BikeDNA , and contributed to datasets on urban mobility and bicycle networks. Engages in media discussions on cycling infrastructure and urban policy.

• Social networks
• Human mobility
• Computational social science
• +7 more

Thiago Rocha Silva is an Associate Professor in the Software Engineering group at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU). His work bridges software engineering, human-robot interaction, and end-user development, with a focus on making robotic systems accessible through intuitive programming interfaces. University: University of Southern Denmark Institute: Maersk Mc-Kinney Moller Institute Department: Software Engineering Academic Rank: Associate Professor His research interests are centered on end-user development , domain-specific languages , and interactive systems , particularly in the context of robotics and software engineering. He investigates how users can program robots without deep technical expertise, using gesture-based interfaces, visual-textual synchronization, and low-code environments. The recent publications highlight a strong trend in human-robot collaboration , focusing on user-centric design, behavior modeling, and programming frameworks that empower non-experts. These works span robotics, software engineering, and human-computer interaction, often employing participatory and user-centered methodologies. Thiago actively leads and contributes to major research initiatives, including projects on sustainable human-robot synergy in extended reality and low-code programming for mobile robotics. He supervises students and teaches courses such as End-User Development and Software Engineering and Organization . He is involved in interdisciplinary collaborations, particularly in projects integrating AI, robotics, and Earth observation data. His work emphasizes practical applications in smart societies, logistics, and physical training.

• Software Technology
• End-User Development
• Domain-Specific Languages
• +12 more

Zaibei Li is a PhD Fellow at the Department of Computer Science (DIKU) of the University of Copenhagen , affiliated with the Human-Centred Computing section. Their research intersects Educational Technology , Multimodal Learning Analytics (MMLA) , and Human-Computer Interaction . Key Research Areas: Multimodal Learning Analytics for spoken language acquisition Collaboration analytics in hackathons and educational settings Design of smart, inclusive, and equitable learning systems Recent Work: 2024 contributions to EC-TEL , ICALT , and LAK24 conferences Development of open MMLA platforms and frameworks for human-centric analytics Contact: Email: zali@di.ku.dk Address: Sigurdsgade 41, 2200 København N.

• Human-Centred Computing
• Multimodal Learning Analytics
• Educational Technology
• +3 more

Ekkart Kindler is an Associate Professor in the Department of Applied Mathematics and Computer Science at DTU Compute, Technical University of Denmark. His research focuses on model-based software engineering, process mining, and road condition assessment using vehicle sensor data. He leads the Competence Centre for Model-Based Software Engineering, supporting industry adoption of advanced software development methodologies. Education: M.Sc. (1990), Ph.D. (1995) from Technische Universität München; Habilitation in Computer Science (2001) from Humboldt-Universität zu Berlin. He held visiting professorships at German universities (2000–2007) and has extensive experience in formal methods, business process modeling, and Petri nets. Research interests include declarative process modeling, complexity metrics for cognitive load assessment, and the integration of formal methods into industrial software development. His work contributes to UN Sustainable Development Goals related to sustainable infrastructure (SDG 9) and innovation (SDG 9). Notable collaborations include road condition assessment projects using vehicle sensor data (LiRA-CD dataset) and contributions to Petri net standards (PNML). He has supervised PhD students such as K. I. Simonsen (protocol software) and A. Skar (road assessment). Grants and projects: Live Road Assessment with Vehicle Sensors (2019–2022), Model Transformation Tools (2013–2016), and waste management modeling (2012–2016). Active in open-source datasets and tool development for indoor climate control (climify.org).

• Model-Based Software Engineering
• Process Mining
• Petri Nets
• +4 more

Abid Hussain serves as Associate Professor at Copenhagen Business School's Department of Digitalization, specializing in the convergence of digital technologies and organizational practices with emphasis on data-driven solutions and privacy-centric systems development. His research portfolio spans: Design Science in Information Systems Big Social Data and Big Data Analytics Enterprise Software Development (web, database, desktop solutions) Privacy by Design frameworks and data protection tools He has engineered solutions for data collection, transformation, and analytics pipelines alongside enterprise system integrations involving API security, document sharing, and WSDL protocols. Publication trends (2018-2025) reveal consistent innovation in privacy-preserving technologies (blockchain-based access control), immersive educational tools (VR classrooms), and multilingual social analytics. His work demonstrates interdisciplinary impact across computational social science, business informatics, and public health through event management systems, climate psychology studies, and interorganizational data sharing frameworks.

• Information Systems
• Design Science
• Big Data Analytics
• +2 more