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Timotheus Kampik is a Tenure-Track Assistant Professor at the Department of Computing Science , Umeå University , Sweden. He combines his academic work with an industry role as Principal Scientist at SAP , focusing on strategic research engagement related to intelligent processes, decisions, and transformation. Kampik's research centers on principle-based automated reasoning and the engineering of intelligent systems with applications in multi-agent systems, formal argumentation, and business process management. Kampik is a WASP Fellow supported by the Wallenberg AI, Autonomous Systems and Software Program. His work often bridges theoretical foundations with practical implementations, reflected in both his academic publications and industry contributions. He has served as co-chair for the International Workshop on Argumentation for eXplainable AI (ArgXAI) and organized sessions at major conferences like AAMAS and ECAI. Research Interests: Abstract and Quantitative Bipolar Argumentation Multi-Agent Systems Engineering Explainable AI and Human-AI Interaction Business Process Intelligence Formal Reasoning and Decision Theory Key Publications: Disagree and Commit (2025) - Argumentation-based agreements Kettle Logic in Abstract Argumentation (2024) Change in Quantitative Bipolar Argumentation (2024) Business Process Improvement with AB Testing (2024) Scientific Recognition: Best Paper Award, ICPM 2024 Best Program Committee Member Award, AAMAS 2022 Best Post-Graduate Student Paper Award, WESAAC 2020 WASP Fellowship recipient Teaching & Supervision: Lecturer for courses including Software Engineering and Artificial Intelligence at Umeå University Supervised multiple Master's and Bachelor's theses on topics like machine learning integration, human-aware planning, and deception detection Co-developed open-source agent programming libraries like JS-son

• Intelligent Systems
• Automated Reasoning
• Formal Argumentation
• +5 more

Georg Graetz is an associate professor in the Department of Economics at Uppsala University, holding a PhD in Economics (2014) and a BSc in Econometrics and Mathematical Economics (2009) from the London School of Economics. His research focuses on technological change, wage inequality, and the economics of education. Education : PhD in Economics (2014), London School of Economics BSc in Econometrics and Mathematical Economics (2009), London School of Economics His recent work analyzes how technological advancements reshape labor markets, covering automation's impact on job polarization, educational credentials' influence on employment, and structural shifts in occupational demand. Publications in top journals like the Economic Journal and Review of Economics and Statistics highlight these themes. Policy engagement includes contributions to reports for Sweden's Konjunkturrådet (2023), the Swedish Fiscal Policy Council (2020), and the European Commission (2019). Media coverage in outlets like Bloomberg Business and Wall Street Journal underscores public relevance.

• Technological change
• Wage inequality
• Economics of education
• +2 more

Ilaria Testa is an Associate Professor in Applied Physics at KTH Royal Institute of Technology, specializing in the development of advanced microscopy and spectroscopy techniques to study nanoscale biological dynamics. As a Wallenberg Scholar, she aims to create a groundbreaking microscope capable of capturing high-speed, high-precision movies of synaptic molecular processes during physiological activity. Her research addresses the challenge of balancing precision and speed in observing rapid synaptic events, requiring specialized software, optical systems, and automated decision-making algorithms to outperform manual microscopy. This work bridges the gap between static imaging and dynamic visualization of protein interactions in brain synapses. Scientific Awards: Wallenberg Scholar

• Biophysics
• Nanotechnology
• Neuroscience
• +3 more

Johan Lundin is a Professor at the Department of Applied IT, Faculty of Information Technology, University of Gothenburg. He holds a PhD in Informatics from the same institution. His research focuses on how information technology transforms learning and educational practices, with emphasis on mobile IT, AI in education, and sociomateriality of competence management systems. 2007 : Appointed member of Linneaus Center for Research on Learning, Interaction, and Mediated Communication (LinCS) 2011 : Division Head of Learning, Communication, and IT 2018 : Full Professor in Informatics with learning orientation 2018 : Guest Professor at University West 2020 : Chairman of UP-GRADE graduate school Research Focus: Conducts empirical and design-oriented studies on IT in educational practices, competence management, and mobile learning. Current projects include "The Missing Teacher In AI" exploring teacher agency in AI design. Key Collaborations: DigitaL project with University West and Region Västra Götaland; national graduate schools GRADE and UP-GRADE; and international initiatives like the Virtual Clinic study. Scientific Contributions: Co-authored 200+ publications on digital textbooks, AI fairness, and sociomateriality in education. His work bridges theoretical frameworks (activity theory, metadesign) with practical implementations.

• Educational Technology
• Artificial Intelligence in Education
• Digital Learning Environments
• +12 more

Dr. Sven Beiker serves as an Adjunct Professor of Industrial Engineering and Management at Sweden's University of Borås within the Faculty of Textiles, Engineering and Business (Department of Engineering), while also lecturing at Stanford University's Graduate School of Business on mobility innovation strategies. His research integrates artificial intelligence into product development frameworks and analyzes strategic implications of ACES mobility trends (Automated, Connected, Electrified, Shared), emphasizing cross-industry convergence for sustainable transportation solutions and disruptive business models in automotive ecosystems. As Founder and Managing Director of Silicon Valley Mobility, he leads technical diligence assessments and partnership strategy development for global mobility ventures, directly translating academic insights into industry applications through product roadmap consulting for electrification and autonomy initiatives.

• Artificial Intelligence
• Mobility
• Product Development
• +6 more

Tomas Nilson is a Senior Lecturer at Halmstad University's School of Education, Humanities and Social Sciences , with a focus on interdisciplinary research spanning cultural heritage, maritime history, health education, and citizenship studies. His work bridges historical analysis with contemporary social issues, particularly through the lens of regional identity and tourism development. Email: tomas.nilson@hh.se Research Interests Nilson's research explores: Cultural Heritage: Preservation strategies, cross-border heritage politics, and regional identity construction in Scandinavia. Maritime History: Representations of sailor life, disaster narratives, and the intersection of technology with maritime labor. Health Education: Links between public health policies, obesity discourse, and democratic engagement in education. His publications analyze narratives of modernity (e.g., domestic automation from 1923–2023), border region tourism, and historical case studies of entrepreneurship and migration patterns.

• Cultural Heritage
• Maritime History
• Health Education
• +4 more

Professor Magnus Isaksson is affiliated with the University of Gävle as Head of Faculty of Health and Occupational Studies and Deputy Vice-Chancellor for EUI – Green Universities. He holds a PhD in Telecommunications from the Royal Institute of Technology (2007) and is an Honorary Professor at Amity University (since 2020). His research focuses on signal processing algorithms for radio frequency measurements and modeling of nonlinear microwave systems. Research Interests: Magnus specializes in RF power amplifier behavioral modeling, digital predistortion techniques, and MIMO system analysis. His work extends to robotic exoskeletons for physical assistance, including lower-limb and upper-body designs, with applications in rehabilitation and occupational ergonomics. He explores nonlinear network analysis, model parameter reduction, and advanced control strategies for mechatronic systems. Publication Trends: Recent publications highlight his dual expertise in telecommunications (e.g., Volterra kernel extraction, I/Q imbalance mitigation) and robotics (e.g., exoskeleton actuator design, dynamic load compensation). Articles from 2017-2025 reflect interdisciplinary applications of signal processing to human-robot interaction and wireless system optimization.

• Signal Processing
• Telecommunications
• Electrical Engineering
• +3 more

Josef Bigun is a Professor at the School of Information Technology, Halmstad University , Sweden, since 1998. His research focuses on Computer Vision, Biometric Signal Analysis, and Artificial Intelligence , with emphasis on periocular recognition, iris biometrics, and motion analysis . He has been recognized as a Fellow of the IAPR (2000) and Fellow of the IEEE (2003) , becoming Sweden's first IEEE Fellow in image analysis. Education : M.Sc. and Ph.D. from Linköping University (1983, 1988) Key Projects : EU projects (BBfor2, BIOSECURE, ACTS-M2VTS), Swedish VR/SSF projects, Swiss Fonds National projects His recent publications focus on CNN optimization, periocular biometrics, and cross-spectral recognition . He has developed innovative Continuous Examination systems using spiral codes for educational assessment and contributed to biometric standards for the European Association for Biometrics . Scientific Awards : Fellow of the IAPR (2000) Fellow of the IEEE (2003) Top 10 Scientist in Sweden (Scopus AI & Image Processing, 2024 Stanford study) Listed on research.com's top Computer Science researchers (Sweden) He has served on organizing committees for ICPR, ICIP, ICB conferences and co-founded the Audio and Video Based Person Authentication conference (now ICB). His work appears in journals like Pattern Recognition Letters and IEEE Image Processing .

• Computer Vision
• Artificial Intelligence
• Biometric Signal Analysis
• +3 more

Professor Andreas Archenti is a Chair Professor in Industrial Dependability at KTH Royal Institute of Technology , focusing on Precision Engineering, Metrology, and Analytics. He serves as the Director of the Center for Design and Management of Manufacturing Systems (DMMS) and teaches courses like Advanced Manufacturing Equipment and Industrial Analytics. Education: PhD in Machine and Process Technology (2011), MSc in Mechanical Engineering (2007) Research Interests: Precision manufacturing, robotics for biomedical applications, integrated metrology, and machine tool dynamics Collaborations: University of Tokyo on robotics for scientific exploration Recent Publications highlight data-driven surface quality prediction, compliance compensation in robotics, bearing fault diagnosis, and machine tool calibration. His work spans aerospace to micro/nano fabrication, emphasizing accuracy from nanometers to large-scale systems. Key Contributions include methodologies for machine tool error compensation, dynamic interaction modeling, and transfer learning applications in manufacturing. He has authored chapters in Springer publications and holds a patent for machine parameter determination.

• Precision Engineering
• Metrology
• Industrial Analytics
• +7 more

Håkan Sundell is an Assistant Professor of Computer Science at the University of Borås , affiliated with the Faculty of Librarianship, Information, Education and IT and the Department of Information Technology . Since 2006, he has been active as a teacher in informatics and a research group leader for the CSL@BS research group , while also serving as program manager for the System Architecture Education with a Focus on Software Development . His research spans Artificial Intelligence , Parallel and Distributed Systems , Concurrent Programming , and Machine Learning Applications , with a particular emphasis on lock-free data structures and GPU algorithms . He has developed over 30 courses and supervised multiple doctoral students to completion. Scientific contributions include advancements in non-blocking algorithms, real-time systems, and AI-driven marketing tools. His article trends reflect interdisciplinary work in data science for fashion retail , district heating analytics , and marketing campaign optimization . Key Awards: Best Paper Award at IPDPS 2003 Recognized as a pioneer in Swedish computer game development As a main supervisor since 2012, he has driven externally funded research projects (VR, SSF, KKS, HUR) and served on university committees, including chairing the education committee from 2018–2022.

• Computer Science
• Artificial Intelligence
• Parallel and Distributed Systems
• +7 more

Moa Johansson is an Associate Professor (Docent) at the Department of Computer Science and Engineering, Chalmers University, Sweden. She serves as Co-Director of Chalmers' Area of Advance in Information and Communication Technology, driving interdisciplinary AI research. PhD in Automated Theorem Proving (University of Edinburgh, 2009) Postdoc at University of Verona (2009-2011) Her research spans neuro-symbolic AI methods , combining neural networks with symbolic reasoning for applications in mathematics, sports science, and political science. Current projects include: NeSSy (2023-): Neuro-symbolic synthesis via reinforcement learning Neurodynamic Programming (2023-): Agent communication learning Countering Bias in AI (2023-): NLP applications in social sciences Bias in Political Analysis (2020-2025): WASP-HS funded Recent publications focus on theory exploration , neuro-symbolic methods , and AI applications across disciplines. Scientific achievements include a VINNMER Marie Curie Fellowship and Best Paper Award at CICM 2014. Led TRACKS project course on sports digitalization Developed HipSpec automated inductive prover

• Artificial Intelligence
• Automated Reasoning
• Neuro-Symbolic Methods
• +4 more

Marjolein Thunnissen is a Senior Lecturer at MAX IV Laboratory , a synchrotron radiation facility in Sweden. Her research focuses on structural biology and macromolecular crystallography , with expertise in synchrotron instrumentation , protein structure analysis , and enzyme studies . She contributes to the United Nations Sustainable Development Goals (SDGs) through scientific infrastructure development. Current Role : Senior Lecturer, MAX IV Laboratory Key Collaborations : MXCuBE Collaboration, Lund Institute of Advanced Neutron and X-ray Science (LINXS) Research Interests include: Synchrotron radiation applications in structural biology Protein crystallography and enzymology Development of beamline facilities (e.g., BioMAX, FragMAX) Data management and transmission systems Scientific Awards : 2016 May: Appointed to the Steering Board of Lund Institute of Advanced Neutron and X-ray Science (LINXS) Projects : Active (2025/02/01 → 2026/01/31): Research Infrastructures – Sustainability dimensions and critical perspectives Completed (2019/02/01 → 2022/01/31): HALOS (Hanseatic League of Science) as Collaborator Investigator (CoI) Her work aligns with physics and biochemistry domains, particularly crystallography and synchrotron technology . She has contributed to 33 research outputs and supervised 4 projects.

• Crystallography
• Synchrotron Radiation
• Protein Structure
• +4 more

Jonas Ledendal serves as Senior Lecturer at Lund University's Department of Business Law and Researcher at the Lund University Centre for Business Law (ACLU). His work bridges legal scholarship with practical applications in digital governance, focusing on critical intersections between technology and law. His research portfolio centers on Artificial Intelligence Law, Data Protection Law, and Privacy Law, examining how digitalization reshapes legal frameworks while regulatory mechanisms steer technological development. Current investigations prioritize reconciling AI/data access with fundamental privacy rights, addressing open data governance challenges, and analyzing trust dynamics in digital ecosystems. His methodology combines doctrinal legal analysis with interdisciplinary insights from technology studies. Recent publications (2022-2023) reveal concentrated exploration of GDPR implementation in public administration, AI regulatory frameworks, and data-sharing architectures. Dominant themes include public-sector compliance challenges, post-hoc enforcement mechanisms under data protection regimes, and the evolution from ethical AI principles to binding legislation. His work consistently emphasizes practical municipal applications and public institution contexts. Scientific Awards: No scientific awards documented in available materials Ledendal has supervised extensive bachelor's and master's theses across data protection, intellectual property, and IT law curricula. His research is sustained through major grants including the ADM-GOV project (2022-2026) on automated decision-making governance in public administration, the Lund University Intellectual Property Network (LUIP), and the DRIV initiative on data rights innovation. He actively secures industry and public-sector partnerships to fund applied research. He coordinates the AI Lund research network and contributes to the Lund University Centre for Business Law (ACLU), fostering collaborations with entities like the Swedish Customs Agency. His team structures emphasize cross-disciplinary integration, connecting legal scholars with computer scientists and public administration experts to address complex digital governance challenges.

• Artificial Intelligence Law
• Data Protection Law
• Privacy Law
• +7 more

Niclas Björsell is a Professor of Electrical Engineering at the University of Gävle, Sweden. He serves as the scientific leader for the strategic research area Intelligent Industry and acts as the subject representative for Electrical Engineering and Physics. With over 30 years of experience in industry-academia collaboration, his work bridges automation, wireless communication, and predictive maintenance. Licentiate Degree: Control Engineering, Uppsala University Doctorate: Telecommunications, Royal Institute of Technology (KTH) Former Positions: Associate Professor at KTH (2012), Visiting Professor at Vrije Universiteit Brussel (2012–2015) His research focuses on predictive maintenance , automation , and industrial IoT , leveraging machine learning , digital twins , and advanced data analytics . Current projects address maintenance strategies in process industries like steel manufacturing, emphasizing system-wide optimization and data visualization for decision-making. Recent publications highlight trends in degradation-aware control systems , mmWave communication , and exoskeleton robotics . Collaborations with industry giants (OVAKO, Sandvik SMT, SSAB, ABB) demonstrate practical applications of his work. Teaching involves courses aligned with his research. He has published over 100 articles (Scopus: 75+) and works with SMEs to enhance competitiveness through digitalization.

• Automation
• Measurement Technology
• Predictive Maintenance
• +4 more

José Chilo is an Associate Professor at the University of Gävle, Sweden, specializing in Electrical Engineering with a focus on sensor systems, wireless communication, and signal processing. His research spans multiple interdisciplinary domains including industrial automation, environmental monitoring, biomedical applications, and food industry technology. His educational background includes: B.Sc. in Industrial Economics from University of San Agustin Arequipa, Peru (1986) B.Sc. in Electrical Engineering from Royal Institute of Technology (KTH), Sweden (2001) PhD in Physics from Royal Institute of Technology (KTH) (2008) Dr. Chilo's research interests center around wireless sensor networks , machine-to-machine communication , electronic nose technology , and advanced signal processing . His work addresses challenges in electromagnetically disturbed environments, with applications ranging from industrial manufacturing to healthcare diagnostics. He has made significant contributions to the development of reliable communication systems for harsh industrial settings and has pioneered applications of sensor technology in food quality assessment and environmental monitoring. His research consistently bridges theoretical signal processing with practical engineering solutions for real-world problems. Dr. Chilo has been involved in numerous research projects, most notably the 5-year project "Reliable Machine-to-Machine Communication in Electromagnetically Disturbed Environments" in collaboration with various companies. His current work spans sensor development, wireless networks, and advanced measurement techniques across multiple application domains. His laboratory work focuses on wireless sensor systems for environmental monitoring, industrial process control, and biomedical applications. He has developed several electronic nose systems for food quality assessment and environmental monitoring, and his team has created innovative solutions for challenging communication environments like tunnels and industrial facilities.

• Electrical Engineering
• Wireless Sensor Networks
• Signal Processing
• +4 more