Árni Halldórsson is a Full Professor in Supply Chain Management at Chalmers University of Technology, affiliated with the Department of Technology Economics and Organization. He co-directs the Production Area of Advance and focuses on sustainable supply chains, energy efficiency, and service innovation. His research spans Circular supply chains Sustainable logistics and energy Service triads and digitalization Lean energy practices He has published extensively in journals like Production Planning & Control and European Management Journal, with recent work on second-life batteries, urban logistics equity, and triadic healthcare models. Halldórsson serves on editorial boards of European Management Journal Supply Chain Management: An International Journal Journal of Supply Chain Management His projects include CIRCLOG (circular logistics), Action Lab (methodology development), and KATE (energy service customization), funded by agencies like VINNOVA and Energimyndigheten.
Hui Chen is a Research Specialist in the Communication Systems group at the Department of Electrical Engineering, Chalmers University of Technology, Sweden. He leads research in 5G/6G localization and sensing, distributed ISAC, and machine learning, contributing to major EU and Swedish projects including 6G-DISAC, RISE-6G, HEXA-X, and 5GPOS/B5GPOS. His educational background includes a Ph.D. in Electrical and Computer Engineering from King Abdullah University of Science and Technology (KAUST) in August 2021, where he worked in the Information System Lab under Professor Tareq Al-Naffouri. Chen's research focuses on advancing wireless localization through integrated sensing and communication (ISAC) techniques, with emphasis on distributed systems and machine learning applications. His work spans channel modeling, algorithm design, and optimization for mmWave/THz communications, addressing challenges in privacy preservation, mutual coupling effects, and cooperative positioning in complex environments. He actively develops solutions for next-generation 6G networks including terrestrial and non-terrestrial integration. Recent publications demonstrate strong trends toward RIS-assisted localization, privacy-aware beamforming, and multi-vehicle control frameworks, reflecting a multidisciplinary approach bridging communications, aerospace systems, and signal processing. His work shows increasing focus on non-terrestrial networks and cooperative positioning architectures. Key scientific recognitions include: European Union Marie Skłodowska-Curie Postdoctoral Fellowship (MSCA-PF) Swedish Vinnova International Mobility Grant Chalmers Area-of-Advance Transport Seed Funding Ericsson Research Grant China National Scholarship (awarded three times) Chen has secured substantial research funding through competitive grants and leads technical contributions in multiple high-impact projects. As an Editor for IEEE Communications Letters since March 2025, he actively shapes scholarly discourse in wireless communications while mentoring junior researchers within the CROSSNET team. He is a core member of the CROSSNET research team at Chalmers, led by Professor Henk Wymeersch, which focuses on communication systems for future networks. The team maintains active GitHub repositories for radio localization algorithms and collaborates internationally on 6G standardization efforts, with recent work accepted at IEEE ICC 2025 and major IEEE transactions.
Stellan Holgersson is a researcher in the Department of Energy and Material at Chalmers University of Technology , specializing in nuclear chemistry and environmental applications of radiochemistry. His work primarily focuses on radionuclide sorption processes, cement-water-rock interactions, and metal recycling from nuclear waste and electronic materials.
Dragos Vieru is a Full Professor of Information Technology at TÉLUQ University in Montreal, Canada. He joined the faculty in 2011 after accumulating more than 15 years of practical experience in information technology project management within the public health sector. Professor Vieru served as Director of the School of Business Administration from 2015 to 2018 and maintains an active research role as a regular researcher at the Information Systems Research Group (GReSI - HEC Montréal). His international academic engagement includes visiting professorships at the University of Münster (Germany), Budapest University of Technology and Economics (Hungary), Academy of Economic Studies (Romania), and Corvinus University of Budapest (Hungary). His academic credentials include: Ph.D. in Administration (major in Information Technologies; minor in Organizational Studies) from HEC Montréal M.Sc. in Management of Information Systems from John Molson School of Business, Concordia University M.Eng. in Industrial Engineering from Polytechnic University of Bucharest, Romania Professor Vieru's research spans IT innovation, organizational ambidexterity, digital transformation, digital ecosystems and platforms, inter-organizational information systems, global sourcing of IT services, and ethics of artificial intelligence. With over 50 publications in leading journals like the International Journal of Information Management and Information Systems Management, his work frequently examines the intersection of technology, organizational behavior, and management practices. His recent scholarship increasingly focuses on the ethical dimensions of emerging technologies, particularly artificial intelligence in organizational contexts. Professor Vieru has made significant contributions to the academic community through his leadership as chair of the Socio-Technical Issues in Organizational Information Technologies mini-track at the Hawaii International Conference on System Sciences since 2013. His certification as a LEGO Serious Play® Designer and Facilitator informs his innovative teaching and research approaches. His professional affiliations include: Member of the Association for Information Systems (AIS) Member of Groupe de recherche en systèmes d'information (GreSI) Professor Vieru actively bridges theoretical research with practical applications, leveraging his extensive industry experience to address real-world challenges in information technology management across various organizational contexts.
Eric-Oluf Svee is an Associate Professor at Stockholm University 's Department of Computer and Systems Sciences . His research bridges Values Sensitive Design (VSD) , Consumer Values , and Information Systems (IS) development through Natural Language Processing (NLP) , Enterprise Architecture , and Requirements Engineering . He co-founded the NLP Research Group and the PRECIS group, focusing on privacy, explainability, and domain adaptation. Education: M.Sc. in Interactive Systems Engineering (2007, Royal Institute of Technology/KTH ), B.A. in Political Philosophy, B.Mus. in Music Performance (Saxophone). Professional Background: Prior roles at Adobe Systems , AT&T Wireless , Swedish Defence Research Agency , and RISE (formerly SICS) . His work integrates Phenomenological Theories and Technological Mediation into AI alignment with human values, emphasizing Privacy , Explainability , and Domain Adaptation . He pioneered the Consumer Preference-aware Meta-Model (CPMM) to link consumer values to system requirements, with applications in Online Education , Healthcare , and Personalized Services . The Consider8 Project (patent filing) focused on privacy-sensitive mobile personalization. Eric-Oluf is active in Teaching and Industry Collaboration , with a focus on Time Geography , Data Visualization , and Business-IT Alignment . He has no listed scientific awards but contributes extensively to Conference Proceedings and Theses .
Thashmee Karunaratne is an Associate Professor in Digital Learning at the School of Industrial Engineering and Management, KTH Royal Institute of Technology. She specializes in analytics-based design for digital transformation, focusing on data-informed education and semantic interoperability. Her work bridges education technology with cross-border digital public services. Current projects: SkillsMatch, De4A, eSHARE Key collaborations: EU-funded initiatives, international ICT4D programs Research emphasizes GDPR-compliant learning analytics , non-cognitive skill development , and teacher training in Ukraine, Rwanda, and developing nations. She explores institutional readiness for data sharing and evidence-based decision-making frameworks. Recent publications analyze digital health service requirements , small dataset analytics , and teacher-facing dashboards . Her work spans educational transformation, ICT adoption in developing regions, and agile methodologies in industry settings. Technical contributions include semantic interoperability frameworks and canonical evidence-based approaches for cross-domain systems. She advocates for blended learning models and works with educational stakeholders in Africa, Asia, and Latin America.
Leonidas Matsakas serves as an Associate Professor in Biochemical Process Engineering at Luleå University of Technology's Department of Civil, Environmental and Natural Resources Engineering. His research focuses on sustainable conversion of forest residues, aquatic biomass, and industrial waste streams into advanced bio-based products through zero-waste approaches. Dr. Matsakas earned his PhD in 2015 from the National Technical University of Athens. His scientific expertise spans lignin structural characterization , organosolv fractionation processes , and plastic waste upcycling . He has pioneered research in adapting biomass treatment technologies for plastic waste conversion, with significant contributions to sustainable biorefinery systems. His recent publications demonstrate strong trends in machine learning-assisted microbial engineering , carbon capture materials , and circular economy applications for both biobased and synthetic polymers. The work integrates systems biology with synthetic biology to address environmental challenges through data-driven approaches. Kungl. Skytteanska Samfundet award for young promising researchers (2020) Recognized among top 2% of world's leading scientists (Stanford University, 2019-2022) As principal investigator, Matsakas has secured over 30 research grants from FORMAS, Swedish Energy Agency, VINNOVA, EU Horizon 2020, and EIT RawMaterials. He currently leads the European Bioholistic consortium (LTU, ETH Zürich, LIST Luxembourg) and received a FORMAS future research leaders grant in 2019 as sole applicant. His funding portfolio includes projects like BIOMAC, Biolift, Lignomin, and Eco-force fuels. Matsakas directs the Biochemical Process Engineering research group, which specializes in integrated biorefinery concepts, microbial community engineering, and sustainable materials development. The team employs advanced omics technologies and computational modeling to optimize resource conversion processes.
Dr. Farazee Asif is an Assistant Professor and Docent in Circular Manufacturing Systems at KTH Royal Institute of Technology's Department of Production Engineering. With two decades of experience since joining as an MSc student in 2005, he combines research and educational leadership in sustainable manufacturing. PhD in Production Engineering (2017) Licentiate in Production Engineering (2011) MSc in Mechanical Engineering (2006) Pedagogical Education (2009-2010) His research focuses on system dynamics and simulation modeling for circular economy implementation, particularly in automotive and electronics sectors. Current work emphasizes digitalized value management through projects like DiCiM and iReGear, with specific expertise in: Resource conservation systems Circular business models Multi-method simulation Product lifecycle extension Material passport platforms Service-based manufacturing He leads the international MSc programme in Production Engineering and Management, teaching core courses in: Circular Manufacturing Systems Quality Control Industry 4.0 Applications Recent publications emphasize simulation-based decision support tools and consumer perception analysis for circular business models, with applications in electric vehicle components and biomedical electronics.
Linda Bradley serves as an Associate Professor at the Department of Education, Communication and Learning at the University of Gothenburg. She concurrently works as a higher education pedagogical developer at the unit for Pedagogical Development and Interactive Learning (PIL) within the same institution. Her academic profile demonstrates strong integration between research, teaching, and practical application of educational technologies. Dr. Bradley's research program centers on social interaction and digital technology in learning environments, with particular emphasis on digital and mobile learning across formal and informal settings. Her scholarly trajectory reveals consistent exploration of language learning, migration contexts, and digital professional development over the past decade. Current research leadership includes a co-creation project developing a mobile application with chatbot functionality for long-term unemployed job seekers, alongside responsibility for the research node 'Revitalizing higher Education research: Learning, IT and Higher Education.' Her work in Open Learning spans three EU projects focused on developing pedagogical methods for digital teaching tools. Analysis of her recent publications (2021-2025) shows a cohesive research trajectory at the intersection of technology, language acquisition, and social integration, particularly for migrant populations. Her work frequently employs collaborative methodologies including co-design approaches and interdisciplinary frameworks. The publications demonstrate strong international collaboration patterns with researchers across Europe. In teaching, Dr. Bradley brings extensive experience in technical communication and technical language instruction for engineering and naval officer students. Her current teaching responsibilities focus on higher education pedagogy courses at the PIL unit, serving participants from all university faculties, and instruction within the international master's program in information technology and learning.
Thomas McKelvey is a Professor and Deputy Head of Department at Chalmers University of Technology, working within the Signal Processing research group. His research interests include: Signal Processing Radar Systems Machine Learning Applications Power Systems Automotive Control Systems Microwave Technology Wireless Power Transfer Professor McKelvey's research spans various domains where signal processing techniques are applied to solve complex engineering problems. His recent work has focused on developing advanced signal processing algorithms for radar systems, applying machine learning techniques to power system stability analysis, and creating innovative control strategies for automotive applications. His work demonstrates a strong interdisciplinary approach, bridging theoretical signal processing with practical engineering applications across multiple fields including aerospace, power systems, automotive engineering, and medical diagnostics. His extensive publication record shows a consistent research trajectory in signal processing with applications across multiple domains. His work on bistatic radar systems, power system inertia estimation, automotive control systems, and microwave-based medical diagnostics demonstrates both theoretical depth and practical relevance. The publications reveal a pattern of methodological innovation applied to domain-specific challenges, particularly in developing data-driven approaches to complex engineering problems. Professor McKelvey has collaborated extensively with researchers across various engineering disciplines. His work on automotive control systems, particularly related to catalyst control and engine management, has practical implications for reducing emissions in modern vehicles. His research on microwave technology extends to medical applications including stroke diagnosis and detection of intracranial bleedings, demonstrating the wide-ranging impact of his signal processing expertise.
Johan Malmqvist is a Professor of Product Development at Chalmers University of Technology. His research focuses on product development methodology, IT support for the product lifecycle management (PLM) process, and engineering education through the international Conceive-Design-Implement-Operate (CDIO) Initiative , which has been adopted globally. His work bridges theoretical frameworks with practical applications in PLM, additive manufacturing, and educational reform. Research interests include: Methods and tools for product-based services and configuration Strategic development of PLM solutions Engineering education pedagogy and CDIO implementation Integration of sustainability and computational mathematics into engineering curricula Recent publications highlight trends in digital transformation (e.g., AI, data engineering, digital labs) and educational innovation (e.g., hybrid labs, faculty development). He has contributed extensively to CDIO standards and quality assurance systems.
Marcus Agåker is a Researcher at Uppsala University's Department of Physics and Astronomy, specializing in X-ray Physics and Chemical and Biomolecular Physics. He works at The Ångström Laboratory in Uppsala and serves as project leader for the VERITAS beamline at MAX IV Laboratory in Lund, Sweden's state-of-the-art synchrotron radiation facility. His educational background includes: PhD in Physics from Uppsala University (2006) with thesis "Double Excitations in Helium Atoms and Lithium Compounds" Dr. Agåker's research focuses on instrument and method development in soft x-ray emission spectroscopy. With expertise spanning over 25 years since joining Uppsala University in 1999, his work bridges theoretical physics and practical instrumentation. His specialty in vacuum-ultraviolet spectroscopy and soft x-ray emission techniques has positioned him as a key contributor to advancing x-ray analysis capabilities for materials science, molecular physics, and quantum mechanics research. His publication record demonstrates a clear progression from fundamental studies of atomic and molecular systems to increasingly sophisticated instrumentation for next-generation light sources. Recent work emphasizes instrument automation, high-resolution imaging, and novel approaches to studying quantum systems, with significant contributions to journals like Nature, Science Advances, and Journal of Synchrotron Radiation. As project leader for the VERITAS beamline, Dr. Agåker oversees the development of novel mirror systems, experimental chambers, and a 10m high-resolution x-ray spectrometer. This project represents a major contribution to Sweden's research infrastructure in x-ray science and supports interdisciplinary research across physics, chemistry, and materials science.
Dr. Roham Sadeghi Tabar is a researcher at Chalmers University of Technology , specializing in Geometry Assurance and Robust Design within the Department of Product and Production Development. His work bridges academia and industry through collaborations with automotive and aerospace sectors, focusing on optimizing variation simulation for non-rigid assemblies . Affiliation : Chalmers University of Technology Research Area : Geometry Assurance, Digital Twins, Smart Manufacturing Research Interests : Roham’s research spans Smart Manufacturing , Digital Twins , and Modeling and Simulation , with a technical focus on non-rigid assembly optimization . His work develops physics-informed AI methods to enhance geometric precision in automotive and aerospace production, addressing challenges in variation simulation and contact modeling . Publication Trends : His recent articles emphasize digital twin infrastructure for manufacturing, reinforcement learning in disassembly planning, and physics-based simulation for non-rigid parts. Key themes include spot welding sequence optimization , fixture layout , and stochastic batch assembly improvements. Professional Affiliations : Research Affiliate at CIRP, Member of ASME Projects : DigiSync, AIDCAM, PIADT, AIDDT, Digital Quality Assurance, Smart Assembly 4.0 Funding : VINNOVA, Swedish Foundation for Strategic Research (SSF) Labs & Teams : He works within the Geometry Assurance and Robust Design group, contributing to multidisciplinary projects like Digital Twin-Based Clamping Sequence Analysis and Physics-Informed AI for Assembly .
Arsalan Najafi is a Postdoc Research Fellow at Chalmers University of Technology, affiliated with the School of Architecture and Civil Engineering and the Urban Mobility Group . His work bridges transportation and energy systems through advanced optimization techniques. University: Chalmers University of Technology School: School of Architecture and Civil Engineering Department: Urban Mobility Group Academic Rank: Research Fellow Research Interests: Arsalan specializes in transportation electrification , multi-energy systems , and optimization methodologies . His current work focuses on integrating renewable energy with electric transport infrastructure, optimizing charging networks, and modeling urban mobility's environmental impact. Publication Trends: Recent outputs emphasize data-driven urban mobility solutions , electric bus energy modeling , and multi-sector energy optimization . Key journals include Transportation Research Part D , Applied Energy , and IEEE Access .
Per Lundgren is a Professor at the Electronics Material and Systems department of Chalmers University of Technology. His research focuses on energy storage technologies, carbon-based composites, and nanoelectromechanical systems (NEMS), with applications in microtechnology, millimeter-wave engineering, and sustainable materials. His recent work includes advancements in supercapacitor design using lignin-cellulose composites, plasma-treated carbon fibers, and hybrid electrode materials. He has contributed to high-frequency gap waveguide fabrication and waste heat energy harvesting systems. Notable Projects : Artificial Intelligence for Nanoparticle Emission Analysis (2018) Smart-MEMPHIS: Piezoelectric Energy Harvesting with Supercapacitors (2014-2018) CarPolCap: Hybrid CNT/CNF Electroactive Polymers (2012-2015) Lundgren also emphasizes educational innovation, particularly in adaptive teaching methods and interactive learning tools for semiconductor physics courses.
