Erik Kjems

Erik Kjems is a Part-time Lecturer in the Department of the Built Environment at Aalborg University’s Faculty of Engineering and Science. His work bridges civil engineering and digital innovation, focusing on the integration of advanced technologies into infrastructure planning and management.

• University: Aalborg University
• School: Faculty of Engineering and Science
• Department: Department of the Built Environment
• Position: Part-time Lecturer
• Email: kjems@build.aau.dk
• ORCID: 0000-0002-4519-6583

His research interests are centered around digital transformation in civil infrastructure, including augmented and virtual reality (AR/VR), 3D city modeling, BIM, reality capture, data fusion, blockchain applications, and intelligent transport systems. He explores how digital tools can improve decision-making, safety, and efficiency in road and utility projects.

The most recent publications (2021–2024) reflect a strong trend toward practical applications of AR/VR in subsurface utility visualization, digital twins, permeable pavement materials, and data integration for infrastructure. These works emphasize field deployment, user interaction, and reconciliation of heterogeneous data sources. His research combines technical innovation with real-world validation through collaboration with utility companies and public agencies.

Erik Kjems has participated in multiple research projects, including BLING: Blockchain in Government and Integrated Project Development for Road Infrastructure Education, demonstrating sustained engagement in funded research. He has also contributed to public discourse through media appearances on road pricing and digitalization in transportation.

He has supervised at least one PhD student and is actively involved in academic and professional networks. His activities include participation in workshops, conferences (e.g., buildingSMART International Standards Summit), and seminars focused on digital infrastructure and BIM.

Notable labs or collaborative environments include involvement in the 3D Visual Data Mining (3DVDM) project and the Videncenter for 3D GeoInformation, indicating long-standing expertise in geospatial visualization and digital modeling.