جستجوی استاد راهنمای دانشگاهی

Miroslaw Staron is a Professor of Interaction Design and Software Engineering at Chalmers University of Technology. He maintains a unique 50/50 work arrangement, spending half his time on field research at Ericsson while holding his academic position. His research bridges academic theory with industrial practice through collaborations with major companies including Volvo Car Corporation and Volvo Information Technology. His research spans several key areas in software engineering: Software metrics and measurement systems in industry Model driven software development and empirical studies Defect prediction in software projects Requirements engineering in model-based development Applications of AI and machine learning in software engineering Automotive software development and security Staron's recent work demonstrates a strategic shift toward integrating AI technologies into software engineering processes, with particular focus on automotive applications. His publications from 2024-2025 reveal expertise in generative AI applications for code review automation, testing methodologies, and requirements engineering, showing how these technologies can transform traditional software development practices while addressing domain-specific challenges in automotive systems. Current research projects include: Kvantdatorer för framtidens mobilitetslösningar (2025-2027) Automatiserad och designoptimerad programvarukonstruktion/kodgenerering (2025-2029) Förvandla fordonsarkitektur med hjälp från AI (2021-2023) Arkitektonisk design och verifiering/validering av system med maskininlärning komponenter (2020-2024) With 78 publications documented in Chalmers' research database, Staron has established himself as a significant contributor to evidence-based software engineering research with strong industrial relevance.

• Software Metrics
• Model Driven Software Development
• Empirical Software Engineering
• +۵ مورد دیگر

Jelena Zdravkovic is a Professor and Head of the Department of Computer and Systems Sciences (DSV) at Stockholm University. She leads the PRECIS research group which focuses on Process, Requirements, Enterprise, Capability, and Information Systems modelling. Her work spans theoretical and practical aspects of enterprise and IT solutions with a particular emphasis on digital transformation. Professor Zdravkovic's research interests center around Digital Business Ecosystems , Digital Twins , and Data-driven Requirements Engineering . Her work in Enterprise Modeling explores capability-oriented and consumer-oriented approaches to requirements engineering. She investigates how digital transformation and big data can be leveraged to improve requirements elicitation processes, and how organizations can model and manage complex digital business ecosystems. Her research has significant implications for how businesses can adapt to rapidly changing technological environments while maintaining resilience and competitiveness. Her recent publications reveal a clear trajectory toward integrating artificial intelligence with digital modeling techniques, particularly in the context of smart buildings and business ecosystems. There's a consistent focus on how data-driven approaches can transform traditional requirements engineering practices, making them more responsive to the velocity and variety of digital data sources. Her work bridges theoretical modeling with practical applications across various industries including healthcare, energy, and transportation. Professor Zdravkovic has been actively involved in mentoring PhD students, including supervising research on the Management Framework of Resilient Digital Business Ecosystems. She has participated in numerous national and international projects focused on interoperability and model-driven engineering, securing research funding for innovative work at the intersection of business and technology. She leads the PRECIS research group which deals with theories, methods and tools for analysis and design of organizational and IT solutions in congruence. The group's research covers three key topics – Enterprise Modelling, Business Process Management, and Conceptual Modelling. Their work brings together academic rigor with practical applications to solve real-world business challenges through innovative information systems approaches.

• Requirements Engineering
• Enterprise Modeling
• Business Process Management
• +۶ مورد دیگر

Magnus Strand serves as Senior Lecturer in Civil Law at the Department of Law, Uppsala University (2025-present) and Associate researcher at the Department of Business Administration (2025-present). Previously, he was Research leader in commercial law (2021-2025), Member of the Education Committee of the Faculty of Social Sciences (2020-2025), and Director of Studies in Commercial Law (2016-2020). He also held a Part-time Professor position at the European University Institute in Florence (2019-2020). Doctor of Laws, Uppsala University (2015) Bachelor of Laws, Lund University (2006) Bachelor of Philosophy, Uppsala University (2006) Associate lawyer at Lindahl law firm (2006-2008) Professor Strand's research focuses on the complex interaction between EU law and national legal systems, with particular expertise in competition law, damages law, and the regulatory challenges posed by artificial intelligence and digital markets. His scholarly work has evolved from traditional EU competition law topics toward the emerging challenges of AI governance. Recent publications demonstrate his ability to identify and engage with cutting-edge legal challenges as they emerge in the digital economy, particularly examining how national legal frameworks interact with EU regulations in commercial contexts. His publication record reveals a clear trajectory from foundational work on competition damages (2010-2017) toward contemporary issues in AI regulation (2022-2025). The most recent articles show increasing focus on algorithmic trading, AI-based regulatory technology, and adaptation of damage law to AI systems. This evolution demonstrates his scholarly agility in addressing rapidly developing legal frontiers while maintaining expertise in core EU law principles. Editor of the European Law Journal (ERT) Member of steering group for Swedish Network for European Law Research (2012-2015) Coordinator for Uppsala University's European Law Moot Court Competition (2008-2012) As an educator and administrator, Strand has significantly contributed to legal education through curriculum development and interdisciplinary approaches. His research leadership extends to multiple funded projects examining regulatory governance in digital markets and AI technology, particularly within financial sectors, demonstrating his commitment to bridging theoretical scholarship with practical regulatory challenges. Professor Strand leads several major research initiatives including "Konkurrenstvister bortom harmoniseringen" (financed by Konkurrensverket), "AI Design Futures," and "AI-based RegTech" (both financed by The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society). These projects position him at the forefront of legal scholarship addressing the intersection of competition law, digital markets, and AI governance.

• EU Law
• Civil Law
• Competition Law
• +۳ مورد دیگر

Amin Jalali is an Associate Professor of Computer and Systems Sciences at Stockholm University, specializing in business process modeling, analysis, and management. He is affiliated with the Department of Computer and Systems Sciences within the Faculty of Social Sciences, where he serves as a board member and manages three graduate courses: Business Process Design and Intelligence, Business Process and Case Management, and Data Warehousing. Institution: Stockholm University Department: Department of Computer and Systems Sciences (DSV) Research Groups: Natural Language Processing Research Group and PRECIS (Process, Requirements, Enterprise, Capability, Information Systems modelling) His research focuses on business process analysis through model-based and data-driven techniques, with particular emphasis on process simulation, process mining, event knowledge graphs, and object-centric process mining. He has led numerous research projects across healthcare, education, and finance domains. His work includes significant contributions to the development of NLP methods involving large language models, with focus on privacy, explainability, and domain adaptation. Jalali's research output shows a strong trend toward practical applications of process mining techniques, particularly in healthcare contexts like drug-drug interaction analysis and elderly care. More recently, his work has expanded into blockchain applications for fraud detection, motor imagery signal classification, and advanced object-centric process mining approaches. His publications span both theoretical contributions to business process management frameworks and practical implementations in real-world settings. He has extensive industry experience in designing and implementing Business Intelligence and Big Data Analytics solutions, which informs his academic work and teaching approach. His research has been published consistently from 2012 through 2024, demonstrating sustained scholarly productivity in his field. Dr. Jalali has contributed significantly to the development of tools and libraries for process mining, including the dfgcompare library for process variant analysis and implementations for object-centric process mining. His work bridges academic research with practical applications, particularly evident in healthcare projects like the DDIs-Graph system for identifying drug-drug interactions.

• Business Process Management
• Process Mining
• Object-Centric Process Mining
• +۶ مورد دیگر

Benneth Christiansson is an Assistant Professor at Karlstad University, focusing on software development paradigms, enterprise application integration, and open-source infrastructure. His research bridges the gap between emerging cloud-based tools (e.g., Software-as-a-Service) and traditional enterprise systems, emphasizing lean integration approaches. Research Interests: His work centers on component-based development, integration challenges in heterogeneous systems, and the adoption of open-source solutions to streamline enterprise processes. He explores frameworks for aligning software components with business processes, addressing interoperability and data standardization issues in public and private sectors. Publications: Over 15+ publications since 1995, with recent focus on lean integration strategies (2011-2012), open-source adoption in municipal systems (2007), and foundational component specification models (2003-2005). Key themes include COTS component acquisition, business-process-driven software specifications, and agile modeling techniques. Awards: No scientific awards explicitly listed in the text. Advising & Grants: No advisees or grants mentioned in the provided text. His contributions appear to focus on theoretical and applied research in software systems. Labs/Teams: No specific labs or collaborative teams described, though his work implies engagement with enterprise IT and software development communities.

• Software Development
• Enterprise Application Integration
• Open Source Infrastructure
• +۵ مورد دیگر

Federico Ciccozzi is an Associate Professor in Computer Science at Mälardalen University's School of Innovation, Design and Engineering, where he leads the ASSO research group and the VR ORPHEUS project. He also serves as Head of Research Education in Computer Science and Electronics at the university. His academic journey includes a M.Sc. in Global Software Engineering (via the GSEEM program) and a Ph.D. in Computer Science and Engineering from Mälardalen University (2014), followed by promotion to Docent (Associate Professor) in 2017. Education: M.Sc. in Global Software Engineering (GSEEM program, joint between Mälardalen, L'Aquila, and Amsterdam) Ph.D. in Computer Science and Engineering (Mälardalen University, 2014) Docent (Associate Professor) in Computer Science (Mälardalen University, 2017) His research focuses on model-driven engineering, robotics software engineering, and software architecture. He has pioneered work in blended modeling approaches, EAST-ADL extensions, and formal verification of complex systems, particularly in robotics and automotive domains. Recent projects emphasize industrial collaborations, such as optimizing ROS2 multi-robot systems and enhancing safety-critical software through model-based methodologies. Research Contributions: Developed frameworks for transforming surface languages into augmented EAST-ADL models Advanced blended modeling techniques across JetBrains MPS and Eclipse tools Examined consistency management in industrial model-driven development Edited special issues on model-driven engineering and low-code development His work bridges academic innovation and industrial practice, with notable projects like the Rubus Component Model for vehicular systems. He actively organizes workshops (e.g., RoSE, ASYDE) and contributes to standardization efforts like the Portable Test and Stimulus Standard. Labs/Teams: Leads the ASSO research group, focusing on advanced software engineering methodologies and robotics systems development.

• Model-Driven Engineering
• Robotics Software Engineering
• Software Architecture
• +۳ مورد دیگر

Damien Motte serves as a Senior Lecturer at the Department of Design Sciences within Lund University's Faculty of Engineering (LTH), Sweden. His role integrates teaching innovation with research in engineering design and product development methodologies across industrial contexts. His academic credentials include: PhD in Product Development from Lund University Research Master in Industrial Engineering from École Centrale Paris MSc in Industrial Engineering from École des Mines d’Albi Motte's research spans production engineering, human work science, and ergonomics with emphasis on agile transformation in manufacturing, 3D food printing applications, and AI-enhanced failure analysis. His work bridges technical design processes with organizational behavior and business model innovation, particularly examining knowledge boundaries in large-scale transformations and emerging technologies' impact on traditional engineering practices. Recent publications reveal an interdisciplinary trajectory connecting engineering design with business strategy and organizational dynamics. Key trends include applying agile principles to hardware development, leveraging additive manufacturing for sustainable food systems, and integrating large language models into reliability engineering frameworks—demonstrating consistent focus on methodological innovation at the intersection of human factors and technical systems. No scientific awards were documented in available sources. Motte actively contributes to academic development through PhD supervision and editorial work. He has served as second supervisor for four doctoral candidates while maintaining editorial board membership for the International Journal of Design Creativity and Innovation, reflecting commitment to both research mentorship and scholarly discourse. No dedicated laboratory or research team affiliations were specified in the source material.

• Product Development
• Engineering Design
• Production Engineering
• +۵ مورد دیگر

Dena Hussain is a Lecturer at the Division of Computational Science and Technology, KTH Royal Institute of Technology in Stockholm, Sweden. She holds a Master of Science in Artificial Neural Networks, Computer Science (2001). Her roles include examiner and course responsible for courses such as Database Technology and Software Engineering in Project Form. Her research focuses on advancing digital inclusion through ICT utilization, with emphasis on accessibility in agile software development and inclusive learning environments. Notable contributions include frameworks for bridging the digital divide and integrating accessibility into agile methodologies. She has also explored ICT tools for special needs children and sustainable management practices. Key awards include the EECS Prize 2020 for impactful educational projects, First Prize in Almi's 'Pitch Your Idea' competition (2016), and Best Presentation at IEEE EDUCON 2016. Her work bridges academia and industry, with prior roles as a Scrum Master at NEVS and ICT pedagogy lecturer at University West. Research interests span HCI, software engineering education, and inclusive technology design. Current projects emphasize stakeholder collaboration in accessibility frameworks and agile methodologies for inclusive systems.

• Digital Inclusion
• Accessibility in ICT
• Agile Software Development
• +۵ مورد دیگر

Michael Mattsson is a Professor in the Department of Software Engineering at Blekinge Institute of Technology (Faculty of Computing). His research focuses on software engineering practices, particularly in decision models for asset selection, framework evolution, and software architecture evaluation. Industrial collaboration and empirical validation are central to his work. Research Themes: Decision models, framework stability, quality attribute trade-offs, and industrial software evaluation. Projects: Completed the VITS project on test data visualization and contributed to the ORION project (funded by the Knowledge Foundation). Publications: Key topics include asset selection surveys, framework evolution comparisons, and systematic mapping studies in software engineering.

• Software Engineering
• Decision Models
• Framework Evolution
• +۶ مورد دیگر

Tomas Gustavsson is an Assistant Professor of Information Systems and Project Management Research at Karlstad University. His work focuses on Agile methodologies, large-scale software development coordination, and technical debt management. He completed his PhD in 2020 with a thesis on scaling Agile practices in organizational contexts. Research Interests: Agile Software Development Process Debt and Non-Technical Debt Team Coordination Mechanisms Large-Scale Agile Transformations Secure Software Development Organizational Impact of Agile Practices His recent work emphasizes measuring process debt impacts on developer satisfaction and exploring interdependencies between technical/social debts. Over 60 publications span empirical studies, literature reviews, and framework evaluations. Key contributions include measurement instruments for process debt and analysis of pandemic-era software development adaptations. Professional Contributions: Authored/edited 12 textbooks on Agile methodologies Core contributor to SAFe implementation studies Active in both academic and practitioner communities

• Project Management
• Software Development
• Agile Methodologies
• +۳ مورد دیگر

Georgios Koutsopoulos is an Associate Senior Lecturer at the Department of Computer and Systems Sciences , Stockholm University , affiliated with the PRECIS Research Group . His work focuses on theories, methods, and tools for organizational and IT solution analysis and design. Research Group: PRECIS – Process, Requirements, Enterprise, Capability, Information Systems Modelling Key Topics: Enterprise Modelling, Business Process Management, Conceptual Modelling Research Interests include: Enterprise Modelling for capability change Business Process Management in dynamic environments Requirements Engineering for hybrid development approaches Conceptual Modelling of organizational potentials Inter-organizational process analysis Methodological frameworks for transformation Publications Trend Analysis reveals a focus on KYKLOS method development, capability meta-model visualization, and integrated frameworks for requirements engineering. His work bridges agile and plan-driven approaches while addressing challenges in healthcare , public sector , and cultural organizations . Collaborations with researchers like Martin Henkel and Janis Stirna have produced impactful studies on: Capability adaptation in digital enterprises State-machine diagram applications AI techniques in requirements elicitation Fractal Enterprise Model extensions

• Enterprise Modelling
• Business Process Management
• Conceptual Modelling
• +۵ مورد دیگر

Christian Jacobsson is a Lecturer at the University of Gothenburg , affiliated with the Section for Organization, Health and Addiction . His academic career spans over three decades, with a PhD thesis from 2001 titled Managing Human Service Organizations and extensive teaching in Work and Organizational Psychology at the Psychology Program. Education: Doctor of Philosophy (2001), Psychology studies (1989), Licensed Psychologist (1991) Professional Background: Work and organizational psychology consultant since 1989 Research Interests focus on leadership , work groups , work environment , and stress management . Current research examines: Manager-media interactions in health/social services Workgroup maturity and member health in schools/industries Team development interventions Work-life balance Publications demonstrate interdisciplinary applications of group psychology in software engineering (Volvo Cars), educational settings, and healthcare administration. Key collaboration partners include Susan A. Wheelan , Maria Åkerlund , and Maria Wramsten Wilmar . Scientific Contributions : Pioneering team development metrics in automotive/software sectors Linking group maturity to health outcomes Media scrutiny impacts on healthcare executives Personality profiling in unemployment studies Methodological Expertise includes qualitative studies, quasi-experimental designs, and mixed-method approaches in organizational contexts.

• Leadership
• Work Groups
• Work Environment and Stress
• +۵ مورد دیگر

Sebastian Hönel is a postdoctoral researcher at Linnaeus University, affiliated with the Faculty of Technology and the Department of Computer Science and Media Technology. He is an active member of the Data Intensive Software Technologies and Applications (DISTA) research group and currently serves as a co-Principal Investigator in the project "In-line visual inspection using unsupervised learning" focused on manufacturing defect detection using machine learning techniques. Hönel completed his Doctoral Thesis in 2023 titled "Quantifying Process Quality: The Role of Effective Organizational Learning in Software Evolution" and earned his Licentiate Thesis in 2020 on "Efficient Automatic Change Detection in Software Maintenance and Evolutionary Processes," both from Linnaeus University. His educational background demonstrates a strong foundation in software engineering and data analysis. Hönel's research spans software engineering, machine learning, and data science. Initially focusing on applying Machine Learning and Deep Learning to software evolutionary processes and organizational learning, his current work emphasizes unsupervised and zero/few-shot learning techniques for industrial anomaly detection. He has particular expertise in Deep Density Estimation (especially Normalizing Flows) and Representation Learning, with applications in manufacturing quality assessment and software maintenance. His research interests include anomaly detection methodologies, architectural innovations in autoencoders, and methodological considerations for evaluation metrics in machine learning applications. An analysis of his publication record reveals a consistent focus on bridging software engineering with advanced machine learning techniques. His most recent work shows a strategic shift toward industrial applications of unsupervised learning, particularly in manufacturing defect detection, while maintaining his foundational work in software metrics and quality assessment. The publications demonstrate progression from theoretical software metrics to practical applications of deep learning in quality inspection systems. Hönel actively contributes to academic education by teaching (Deep) Machine Learning courses (4DV652, 4DV660, 4DV661) and previously served as a teaching assistant for agile product development courses (1DV508, 4DV611). His role as co-PI on the visual inspection project indicates successful research funding and leadership capabilities. While specific grant details aren't provided in the available information, his position suggests ongoing research support. As part of the DISTA research group, Hönel collaborates extensively with colleagues including Ericsson, Löwe, and Wingkvist on projects that combine software engineering with advanced data analysis techniques. His work environment supports interdisciplinary research at the intersection of computer science, software engineering, and machine learning applications, with particular emphasis on practical implementations in both software development contexts and manufacturing quality control systems.

• Machine Learning
• Deep Learning
• Software Engineering
• +۷ مورد دیگر

Robert Lagerström is a Professor at KTH Royal Institute of Technology specializing in Industrial Information Systems. His research focuses on developing automated cyber security frameworks and threat modeling methodologies for large-scale IT environments. Key areas include vulnerability analysis of IoT, automotive systems, and critical infrastructure, with a particular emphasis on probabilistic modeling and simulation languages like vehicleLang and powerLang. He collaborates extensively with industry partners across automotive, banking, energy, and cloud sectors to validate practical security solutions. His work emphasizes model-based security analysis that avoids disrupting live systems, enabling safe testing of cyber defenses. Notable contributions include the securiCAD tool for enterprise cyber security management and the PatrIoT framework for agile threat research in IoT ecosystems. Lagerström's research integrates enterprise architecture modeling with security behavior analysis, addressing challenges in digitalization and agile development environments. He has pioneered methods for quantifying attack resilience through probabilistic threat simulations and has published widely on topics such as LPWAN security, SCADA system vulnerabilities, and ethical considerations in offensive cyber training. His work bridges theoretical cyber security concepts with real-world implementation challenges in both traditional IT and emerging technologies like blockchain and microservices architectures.

• Cyber Security
• Information Systems
• Threat Modeling
• +۶ مورد دیگر

Pär J. Ågerfalk is a Professor at the Department of Informatics and Media , Uppsala University. He is internationally recognized for his work on open source, distributed agile development, and digital innovation. His research spans digital agency, artificial intelligence, digital sustainability, e-health, and pragmatism. PhD in Information Systems Development (Linköping University) Previous roles at Örebro University, University of Limerick, Jönköping International Business School, and Lero – The Irish Software Research Center Research Interests Digital agency and AI Digital infrastructure design Sustainable development in IT Pragmatism in systems development E-health applications Open innovation practices Recent Publications focus on conceptual modeling, digital health applications, workarounds in IS, and privacy/accountability frameworks. His work has appeared in MIS Quarterly, European Journal of Information Systems, and Health Informatics Journal. Scientific Awards AIS Fellow Distinguished Member Cum Laude, Association for Information Systems

• digital agency
• artificial intelligence
• digital infrastructure design
• +۸ مورد دیگر