Education

• Ph.D in Construction Automation and Information Technologies, Aarhus University, 2020 - 2024
• Visiting researcher, University of Cambridge, 2022 - 2022
• M.S. in Civil and Architectural Engineering, Aarhus University, 2019 - 2022
• Semester abroad in Master of Construction Management, The University of Melbourne - 2020 - 2020
• B.Eng. in Civil Engineering, Aarhus University, 2015 - 2019

Work experience

• 2020 - : Teaching Assistant @ Aarhus University
  • Teacher of the course “Digital Construction”
  • Co-examiner of the course “Advanced Technologies in Construction”
  • Reviewer for peer-reviewed journals and conferences (e.g. Automation in Construction, Advanced Engineering Informatics, EG-ICE, ISARC, EC³)
• 2017 - 2020: Student Assistant @ Exigo
  • Specialist in databased risk management
  • Created 3D-model based cost control system
  • Managed and consulted several large hospital projects (e.g. New Aalborg University Hospital 4.1 billion DKK)
  • Collaborated in designing automated consistency and collision control

Extracurricular activities

• Part of the educations committee for Civil and Architectural Engineering (2019 - 2021)
• Student teacher within the course Managing Precast Construction (2017 - 2017)
• Part of “Top 50 Future Talents” picked by Presidents Institute
• Part of the Global Exchange Accelerator Programme in Melbourne
• Picked as Outstanding reviewer for ISARC 2021

Publications

Real-time LiDAR for Monitoring Construction Worker Presence Near Hazards and in Work Areas in a Virtual Reality Environment

Jacobsen, E. L. & Teizer, J. 2021, "Real-time LiDAR for Monitoring Construction Worker Presence Near Hazards and in Work Areas in a Virtual Reality Environment." In:, EG-ICE 2021 Workshop on Intelligent Computing in Engineering: Proceedings. Berlin : Universitätsverlag der TU Berlin, 2021. pp. 592-602.

Lean Construction in a Serious Game Using a Multiplayer Virtual Reality Environment

Jacobsen, E. L. , Strange, N. S. & Teizer, J. 2021, "Lean Construction in a Serious Game Using a Multiplayer Virtual Reality Environment." In:, Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, Peru, 14-16 Jul 2021. pp. 55-64.

Active personalized construction safety training using run-time data collection in physical and virtual reality work environments

Jacobsen, E. L., Solberg, A., Golovina, O. & Teizer, J. 2022, "Active personalized construction safety training using run-time data collection in physical and virtual reality work environments.", Construction Innovation Vol. 22, No. 3, pp. 531-553.

Deep Learning in Construction: Review of Applications and Potential Avenues

Jacobsen, E. L. & Teizer, J. 2022, "Deep Learning in Construction: Review of Applications and Potential Avenues.", Journal of Computing in Civil Engineering Vol. 36, Issue 2.

Neural Networks in the Construction Industry: Knowledge Gaps and Possibilities

Jacobsen, E. L. & Teizer, J. 2022, "Neural Networks in the Construction Industry: Knowledge Gaps and Possibilities.", Construction Research Congress 2022, Arlington, Virginia https://doi.org/10.1061/9780784483961.123.

Automating the Estimation of Productivity Metrics for Construction Workers Using Deep Learning and Kinematics

Jacobsen, E. L. & Teizer, J. 2021, "Automating the Estimation of Productivity Metrics for Construction Workers Using Deep Learning and Kinematics" In:, EG-ICE 2022 Workshop on Intelligent Computing in Engineering: Proceedings. Aarhus, Denmark, 2022. pp. 418-427, https://doi.org/10.7146/aul.455.c232