Linköping University
Norrköping Campus
Communications and Transport Systems Division
Who we are
Linköping University’s (LiU) Communications and Transport Systems (KTS) division at Campus Norrköping is part of a prestigious, research‑intensive university and stands as one of Europe’s leading academic environments in transport and logistics, bringing together expertise in advanced modelling, systems analysis, wireless/IoT communication, and sustainable mobility—and leveraging data analytics and machine‑learning methods—to deliver impactful solutions in close collaboration with industry and authorities.
Why we joined PACK
Linköping University (LiU) joined the PACK project to bring together its strengths in machine learning, resilient IoT communication, digital systems engineering, and—crucially—logistics and operations research to help build a practical, data‑driven customs‑security ecosystem. By combining edge intelligence and reliable, energy‑aware communication strategies with rigorous methods for modelling transport flows, routing, and operational constraints, LiU ensures that PACK’s technical solutions are not only innovative but also deployable in real‑world supply‑chain settings. The university’s role includes shaping interoperable data flows and decision‑support logic so that event detection from sensors translates into timely, actionable insights for authorities and logistics actors, while following privacy‑by‑design principles and minimizing unnecessary data movement. In parallel, LiU advocates a future‑ready approach to digital public administration—decentralised and privacy‑preserving by design—that seeks to minimise reliance on personal data and sensitive commercial information, drawing on concepts such as zero‑knowledge proofs and verifiable exchanges to enable trustworthy, compliant, and efficient customs processes. PACK also offers LiU a valuable living lab for advancing applied research, co‑creating with industry and public stakeholders, and training early‑career researchers on challenges that lie at the intersection of AI, communication networks, logistics, and operational excellence in freight and customs.
Our role in PACK
Linköping University plays a key role in PACK by providing scientific and technical leadership in system design, communication strategies, and operational modelling. LiU ensures that PACK’s concepts, specifications, and data flows are coherent, interoperable, and grounded in real logistics and customs environments. The university contributes expertise in AI, resilient IoT communication, digital systems engineering, and logistics and operations research to shape solutions that are both innovative and deployable.
How we collaborate
LiU collaborates with PACK partners through continuous technical coordination, shared design and requirements work, and iterative validation across the project. We stay closely aligned with partner activities through planning meetings, joint design and development sessions, and by ensuring our work integrates smoothly with the overall system architecture. Collaboration is supported by regular meetings, cross‑partner reviews, and active engagement with industry and public stakeholders to keep PACK coherent and operationally relevant.
Innovation we bring
LiU contributes an innovative, logistics‑aware and energy‑efficient data‑and‑communication architecture that fuses event‑driven, QoS‑optimised IoT communication with advanced AI, multimodal data modelling, and operations‑research methods. The approach enables reliable, low‑overhead sensor data flows and produces decision‑support structures that improve the accuracy and timeliness of event interpretation in real‑world transport environments, with an emphasis on reproducible methods and empirical validation.
Expected outcomes
LiU expects PACK to demonstrate and validate a logistics‑aware, energy‑efficient sensing and communication architecture that reliably delivers low‑overhead, high‑quality event data in real transport environments. This outcome would provide empirical evidence that advanced AI‑ready data structures and QoS‑driven communication strategies can support decision‑making in customs and logistics without relying on excessive data volumes or personal/sensitive information.
Our future vision
PACK aligns strongly with LiU’s long‑term vision of advancing intelligent, data‑driven, and privacy‑preserving digital infrastructures for logistics and public administration. The project provides a foundation for future research on resilient IoT communication, multimodal sensing, and logistics‑aware AI models that can be applied across broader transport, supply‑chain, and societal domains. LiU aims to leverage the methods, data structures, and insights developed in PACK to further explore decentralised, privacy‑preserving digital services and decision‑support tools that minimise the use of personal and sensitive business data. PACK also strengthens LiU’s role in shaping next‑generation digital logistics ecosystems and provides a platform for training future researchers who will drive innovation in AI, communication networks, and operational excellence.
Beyond PACK
LiU is actively involved in a wide range of research initiatives that complement and strengthen the expertise we bring into PACK. These include projects advancing AI‑driven sensing, resilient IoT communication, digital logistics, and privacy‑preserving data infrastructures, as well as work on multimodal sensor analytics, energy‑efficient communication architectures, Digital Twins, and intelligent mobility systems. LiU also participates in B‑Prepared, focusing on preparedness, digital decision‑support, and risk‑management tools for crisis scenarios. Beyond transport and security domains, LiU conducts advanced research in the construction industry—applying machine learning to forecast material behaviour in climate‑improved concrete and developing next‑generation IoT‑ and Big‑Data‑driven analytics for digital transformation, SmartCity solutions, and initiatives such as The Smart Construction Site. Together, these efforts enhance LiU’s capabilities in data‑driven modelling, resilient communication, operational decision support, and privacy‑aware digitalisation, providing strong synergies that directly complement PACK’s objectives.
Relevant links
Staff involved
Scott Fowler
Scott Fowler earned his B.Sc., M.Sc., and Ph.D. degrees all in Computer Science, bringing extensive expertise to the field. Presently is an Associate Professor at Linköping University, Sweden as a member of Communication and Transportation Systems (KTS) a division at the Department of Science and Technology at LiU. His research spans a wide range of areas, including Quality of Service (QoS), Quality of Experience (QoE), NGN, Wireless, IoT, Optimization, Machine Learning, and Systems Analytics. As a Senior Member of both IEEE and ACM, Scott actively contributes to numerous IEEE conferences and workshops, serving in roles such as TPC Chair and Symposium Chair. His commitment to advancing the discipline is further demonstrated through his significant professional service. From 2012 to 2022, he served as the Special Interest Groups Coordinator for the IEEE Communications Software (CommSoft) Technical Committee and the IEEE Communications Switching and Routing (CSR) Technical Committee. He currently holds the position of Vice-Chair for the IEEE Communications Switching and Routing (CSR) Technical Committee.
Jens Mikael Hoel
Jens Hoel holds a B.Sc. in Civil Engineering and an M.Sc. in Digital Construction Management. He previously worked as a research assistant in the EU‑funded TwinAIR project, where he handled sensor data, developed data pipelines, built databases, and contributed to backend development for an early‑stage Digital Twin. He is currently a Ph.D. student at Linköping University, focusing on machine learning and digital tools for built‑environment applications. His background combines domain knowledge, software engineering, and applied AI, making him a strong contributor to PACK’s data‑driven and sensor‑enabled components.
Monica Wallgren
Monica Wallgren is a Senior Coordinator at Linköping University’s Department of Science and Technology (ITN), Campus Norrköping, where she supports administrative and technical operations across research and education activities. Her work is situated within the university’s administrative support organisation (Verksamhetsstöd), providing coordination, organisational support, and facilitation of processes that enable effective project management and smooth collaboration across units and stakeholders. Monica’s experience in academic administration and her deep familiarity with ITN’s research environment make her a reliable point of contact for internal processes, documentation management, and administrative compliance within PACK.
Staff involved
Scott Fowler
Scott Fowler earned his B.Sc., M.Sc., and Ph.D. degrees all in Computer Science, bringing extensive expertise to the field. Presently is an Associate Professor at Linköping University, Sweden as a member of Communication and Transportation Systems (KTS) a division at the Department of Science and Technology at LiU. His research spans a wide range of areas, including Quality of Service (QoS), Quality of Experience (QoE), NGN, Wireless, IoT, Optimization, Machine Learning, and Systems Analytics. As a Senior Member of both IEEE and ACM, Scott actively contributes to numerous IEEE conferences and workshops, serving in roles such as TPC Chair and Symposium Chair. His commitment to advancing the discipline is further demonstrated through his significant professional service. From 2012 to 2022, he served as the Special Interest Groups Coordinator for the IEEE Communications Software (CommSoft) Technical Committee and the IEEE Communications Switching and Routing (CSR) Technical Committee. He currently holds the position of Vice-Chair for the IEEE Communications Switching and Routing (CSR) Technical Committee.
Jens Mikael Hoel
Jens Hoel holds a B.Sc. in Civil Engineering and an M.Sc. in Digital Construction Management. He previously worked as a research assistant in the EU‑funded TwinAIR project, where he handled sensor data, developed data pipelines, built databases, and contributed to backend development for an early‑stage Digital Twin. He is currently a Ph.D. student at Linköping University, focusing on machine learning and digital tools for built‑environment applications. His background combines domain knowledge, software engineering, and applied AI, making him a strong contributor to PACK’s data‑driven and sensor‑enabled components.
Monica Wallgren
Monica Wallgren is a Senior Coordinator at Linköping University’s Department of Science and Technology (ITN), Campus Norrköping, where she supports administrative and technical operations across research and education activities. Her work is situated within the university’s administrative support organisation (Verksamhetsstöd), providing coordination, organisational support, and facilitation of processes that enable effective project management and smooth collaboration across units and stakeholders. Monica’s experience in academic administration and her deep familiarity with ITN’s research environment make her a reliable point of contact for internal processes, documentation management, and administrative compliance within PACK.
