Find Academic Supervisors

Andrea BurattinView profile

Associate Professor

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

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.

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

• Distributed Computing
• Data-Centric Systems
• Software Engineering
• +3 more

Tilman Zuckmantel is a Research Assistant at the Software, Data, People & Society (SDPS) section of the Department of Computer Science , University of Copenhagen. His work focuses on distributed computing and data-centric systems, particularly in asynchronous choreographies and microservices architecture. Recent research outputs include: DACEO (2025): A declarative framework for asynchronous choreographies with event-ordering and object-oriented extensions. Event-based Data-Centric Semantics (2022): A model for consistent data management in microservices environments.

• 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.

Massimo PizzolView profile

Professor

• Sustainability Science
• Industrial Ecology
• Life Cycle Assessment (LCA)
• +4 more

Massimo Pizzol is a Professor at the Department of Sustainability and Planning, Aalborg University. His research focuses on Sustainability Science, Industrial Ecology, and Life Cycle Assessment (LCA), particularly evaluating emerging technologies like digital systems and circular bioeconomy solutions. He emphasizes interdisciplinary approaches, including stochastic modeling and uncertainty analysis. Education: PhD in Planning and Development, Department of Sustainability and Planning (2011) Master in Environmental Sciences, University of Parma (2007) Research Interests: Assessment of sustainability in emerging technologies Circular economy strategies Life Cycle Assessment methodologies Uncertainty and sensitivity analysis in environmental modeling Projects and Collaborations: SeaWeave: Developing functional textiles from seaweed ASCCENT: Carbon capture in construction products LCA4BIO: Harmonized LCA methods for bio-based systems TECH Centre for Circular Economy Awards: Best contribution to LCA modelling (2017) Grants and Advising: Supervised 5 PhD students Recipient of multiple EU and industry-funded projects Labs/Teams: Active in interdisciplinary teams at Aalborg University, focusing on bio-based systems, circular economy, and LCA innovation.

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

• Machine Learning
• Probabilistic Inference and Reasoning
• Stochastic Processes
• +1 more

Christoffer Olling Back is a Postdoctoral Researcher at the Department of Computer Science (Faculty of Science, University of Copenhagen) specializing in Human-Centred Computing . His work bridges applied and theoretical machine learning, focusing on probabilistic inference, stochastic processes, and computability theory. Education PhD in Computer Science (2017-2020) - University of Copenhagen MSc in Artificial Intelligence (2010-2011) - University of Edinburgh BA in Psychology (w/ Computer Science) (2004-2008) - Lewis and Clark College Current research explores predictive workflow models using location data through the iAware project (collaboration with Systematic, PowerNet, and Bispebjerg Hospital). Previous work investigated ERP system datasets in the DIREC consortium. His publications span topics in process mining, probabilistic modeling, and healthcare informatics. Recent achievements include 15 research outputs (2024-2016) covering process discovery, workflow simulation, and entropy-based log analysis. Collaborations with institutions like Roskilde University and industry partners demonstrate interdisciplinary impact. Scientific Awards Dean's List (2007) Nordea Fonden Scholarship (2010) As an educator, he serves as guest lecturer, assistant teacher, and tutor in computer science, machine learning, and software engineering. His professional background includes industry roles at ServiceNow Denmark ApS (2021-2024) and Gekkobrain (2020-2021).

Hugo-Andrés López-AcostaView profile

Associate Professor

• Business Process Management
• Formal Methods
• Distributed Systems
• +3 more

Hugo-Andrés López-Acosta serves as an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), actively contributing to research in business process management and digital compliance. His work aligns with UN Sustainable Development Goals through innovative computational solutions for regulatory frameworks and process optimization. His core research spans Business Process Management , Formal Methods , Distributed Systems , and Programming Languages , with specialized expertise in process mining, ambiguity resolution in business descriptions, and compliance automation. Recent projects integrate natural language processing with process modeling to address challenges in healthcare guidelines and regulatory adherence, emphasizing tool-driven approaches for real-world implementation. Analysis of his 2025 publications reveals a concentrated focus on enhancing business process compliance through declarative mining techniques and clinical pathway extraction, demonstrating cross-domain applicability in healthcare and regulatory technology. His work consistently bridges theoretical formal methods with practical software engineering solutions. Scientific recognition includes: Otto Mønsteds Fund: Travel grant (2015) As an academic supervisor, he mentors PhD candidate Caballero Villalobos, J. in the Immersive Process Mining project (2024-2027), while leading the DICE Center for Digital Compliance as Principal Investigator. This center drives research in computational compliance frameworks, regulatory technology, and laws-based system design through multi-institutional collaboration. His leadership in the DICE Center establishes a dedicated research ecosystem for digital compliance innovation, fostering interdisciplinary work on regulatory implementation and process verification methodologies.

Ekkart KindlerView profile

Associate Professor

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

• Database Systems
• Distributed Systems
• Event-Based Systems
• +5 more

Yongluan Zhou is a Professor at the Department of Computer Science , University of Copenhagen , where he co-heads the Data Management Systems Lab (DMS Lab) and serves as Head of Studies for the MSc in Computer Science . His academic journey includes a PhD from the National University of Singapore (NUS) (2007), a postdoc at ETH Zürich (2007–2008), and prior roles as Associate Professor at University of Southern Denmark (SDU) (2008–2017). PhD in Computer Science, National University of Singapore (2002–2007) Postdoc, ETH Zürich (2007–2008) Zhou's research focuses on database systems and distributed systems , with recent emphasis on event-driven systems , scalable stream processing , and big graph analysis . His work bridges theoretical foundations and practical implementations, addressing challenges in data consistency, fault tolerance, and resource optimization in cloud and microservice environments. The trends in his 15 most recent publications (2025–2024) highlight advancements in asynchronous choreographies , blockchain consensus protocols , GPU-accelerated graph processing , and microservices data management . These works integrate formal methods with empirical validation, emphasizing scalability, security, and efficiency in distributed environments. He actively contributes to academic governance as a member of the DEBS Steering Committee (2024–), SSDBM Steering Committee (2022–), and the EDBT Association Executive Board (2020–).

Carl Peter Leslie SchultzView profile

Associate Professor

• Answer Set Programming
• Software Development Tools
• Building Information Modeling
• +5 more

Carl Peter Leslie Schultz is an Associate Professor at the Department of Electrical and Computer Engineering - Software Engineering & Computing systems at Aarhus University. His research focuses on computational tools for construction and building design, including Answer Set Programming, Digital Twin Technology, and Social Sustainability. He leads and collaborates on projects such as PROBONO (H2020) and COGITO, addressing energy efficiency and optimal construction management. Research Interests: Development of spatial reasoning systems for architectural design Optimization of construction processes using digital twins Integration of sustainability metrics in building projects Notable Contributions: Published 103+ research outputs since 2006 Recipient of multiple awards including Best Paper Awards (2011, 2015) and the Best Ph.D. Thesis Award (2010) Advising & Grants: Lead PI on PROBONO (2022-2026) focusing on energy-efficient neighborhood development Co-PI on Optimal Construction Management & Production Control (2020-2024) He is actively involved in the DesignSpace Group (2015-2018) and collaborates internationally on topics like smart cities and community-driven land documentation.

Peter Schneider-KampView profile

Professor

• Data Science
• Artificial Intelligence
• Machine Learning
• +5 more

Peter Schneider-Kamp is a Professor of Data Science at the Department of Mathematics and Computer Science, University of Southern Denmark. His research focuses on Artificial Intelligence, Machine Learning, Privacy-Preserving Techniques, and Algorithms. He has led projects such as the Danish Foundation Models initiative and the PREPARE cardiovascular disease project. His work spans synthetic data frameworks (e.g., Syntheval), quantization-aware neural networks (BitNet), and autonomous drone systems (Drones4Safety). He has been honored with awards including the Researcher Award 2014 and the Friedrich-Wilhelm-Preis 2009. Key research interests include optimizing sorting networks, termination analysis, and UAV-based infrastructure inspection. He has contributed to over 112 publications and actively participates in academic activities like organizing the 13th ACM SIGPLAN Symposium on Principles and Practice of Declarative Programming. Schneider-Kamp also engages in educational roles, teaching courses such as DS806 and DM564 on database systems. His projects highlight interdisciplinary impact, including cardiovascular disease risk estimation (PREPARE) and AI-driven health advice analysis. He collaborates internationally, with recent work featured in venues like the International Conference on Agents and Artificial Intelligence.

• Multimedia Systems
• Computer Science
• Data Management
• +3 more

Wolfgang Klas is a Professor in the Faculty of Computer Science, leading the Research Group Multimedia Information Systems. His research focuses on multimedia systems, artificial intelligence, and blockchain technology. He has been actively involved in research projects such as TP2 PRECIOUS (2013-2016), SciLink (2011-2014), and OptFI (2010-2013). Key research interests include multimedia content management, MPEG7 standards, object-oriented databases, and schema definition. He has also contributed to cybersecurity topics like fake review detection and blockchain applications. Publications span from multimedia systems to sentiment analysis, with recent work emphasizing AI-driven solutions. He is a frequent speaker on topics like blockchain innovation and data security, including presentations at SMAP 2020 and the IT4S Forum 2024. Media engagements include discussions on blockchain technology’s role in business and education reforms, such as lifelong study record systems. His work bridges academic research with real-world applications through industry collaborations and public outreach.

Søren DeboisView profile

Associate Professor

• Digitalization
• Process Modelling
• IT Security
• +3 more

Søren Debois is an Associate Professor at the IT University of Copenhagen , specializing in the intersection of process technologies and IT security . His research focuses on technical solutions for trust between parties, including applications of blockchain to process management and declarative process models for legal-compliant municipal systems. He is a principal author on the DCR process modelling notation and architect of the DCR Workbench , contributing to the commercial dcrgraphs.net engine. He leads a work package in the Innovation Fund Denmark -funded EcoKnow project, aiming to align municipal case-management with legal compliance. A frequent expert in Danish media on IT security, he teaches Distributed Systems , Security I , and Security II at ITU. His accolades include the 2017 ITU Excellence in Teaching Award and a BPM '18 Best Paper Honorable Mention .

Marta AndhovView profile

Associate Professor

• Public Procurement Law
• Sustainability
• Governmental Contracts
• +9 more

Marta Andhov is an Associate Professor at the University of Copenhagen Faculty of Law, where she serves as a leading expert in public procurement law. She is affiliated with the Centre for Private Governance (CEPRI) and has established herself as a prominent researcher in sustainable public procurement, governmental contracts, and EU law. Her research interests span public procurement law, sustainability considerations in governmental contracting, EU law, tender law, international trade law, corporate social responsibility, and supply chain management. Dr. Andhov has made significant contributions to understanding how life-cycle costing can be integrated into public procurement processes to advance sustainability goals. Dr. Andhov leads the Purchase Power project funded by the Carlsberg Foundation (DKK 4.99 million) and co-leads the EU-Horizon 2020 funded SAPIENS project (€3.9 million), which focuses on sustainability and procurement across international, European, and national systems. She is also a member of the COCOREADO project (€2.9 million), which addresses sustainable public procurement of local and seasonal food. Her scholarly work has been recognized through multiple prestigious awards and grants. She has been cited by high-level decision-makers including the EU Commission, WTO, and UNEP, and her research was referenced in an Advocate General opinion to Case C-332/20. In 2019, she co-edited the influential book 'Cost and EU Public Procurement Law – Life-Cycle Costing for Sustainability,' which has shaped the field of sustainable procurement. Dr. Andhov is actively engaged in academic dissemination through her co-hosting of the Bestek Public Procurement Podcast and through extensive teaching and training activities. She has conducted seminars for the Chartered Institute of Procurement & Supply, the International Training Centre of the International Labour Organization, and the Procurement Regulation Postgraduate Diploma at King's College London. Her work bridges academic research and practical implementation, making significant contributions to both theoretical understanding and real-world application of sustainable public procurement principles.