Publications

Under publication list you can find a complete list of the publications that are written by employees at the Publications at Department of Civil and Architectural Engineering.

Publication list

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Kamari, A. & Schultz, C. P. L. (2025). Streamlining BIM-integrated LCA for rapid-iterative-informed-early stage upfront carbon assessment by architects and engineers. Architecture, Structures and Construction, 5(1), Article 5. https://doi.org/10.1007/s44150-024-00122-2

Kamari, A. (2025, Feb 13). Closing the digitalization gap throughout the whole lifecycle of building projects? Autodesk is in the right direction! LinkedIn. https://www.linkedin.com/pulse/closing-digitalization-gap-throughout-whole-lifecycle-aliakbar-kamari-h2vaf/?trackingId=U5RVv9mHRhWNlP1VSA%2Bs5g%3D%3D

Kamari, A. (2025, Sept 2). Empowering the Building Sector: Adopting stricter LCA requirements is crucial for a sustainable future, driven by Holistic Systems Thinking. LinkedIn. https://www.linkedin.com/pulse/empowering-building-sector-adopting-stricter-lca-crucial-kamari-jtadf

Kamari, A. & Kirkegaard, P. H. (2019). Sustainable building renovation: Towards a holistic tectonics thinking framework in the sustainable transformation of the built environment by (through) renovation. In P. J. S. Cruz (Ed.), Structures and Architecture: Bridging the Gap and Crossing Borders - Proceedings of the 4th International Conference on Structures and Architecture, ICSA 2019 (pp. 83-91). CRC Press/Balkema. https://doi.org/10.1201/9781315229126-10

Kærsaa, L. & Kirkegaard, P. H. (2025). Incorporating Qualitative Metrics into a Computational Model Using Machine Learning. International Journal of Science and Research, 14(11), 236-247. https://doi.org/10.21275/SR251021004841

Kabel, T., Kongsmark Andersen, M. & Hagsten, L. G. (2021). A Model Study of Column Stability Based on Residual Stress Theory. Bygningsstatiske Meddelelser, 89(1-2), 1-43. Article 1. https://www.dsby.dk/bsm

Kabel, T., Kristoffersen, J. C., Desai, N. & Georgakis, C. T. (2024). Comparison of Three Wave Sensors through a Full-Scale Experimental Campaign. In Proceedings of the Fourty-third (2024) International Ocean and Polar Engineering Conference: ISOPE2024 (pp. 2552-2558). Article ISOPE-I-24-362. https://onepetro.org/ISOPEIOPEC/proceedings/ISOPE24/All-ISOPE24/ISOPE-I-24-362/546751

Jørgensen, M. B., Kristoffersen, A. E. & Kamari, A. (2025). Evaluating the Environmental Impact of Building Renovation Depth: A Danish Perspective. Sustainability (Switzerland), 17(24), Article 11107. https://doi.org/10.3390/su172411107

Johansen, K. W., Nielsen, R. O., Schultz, C. P. L. & Teizer, J. (2020). Non-monotonic Reasoning For Automated Progress Analysis Of Construction Operations. In N. Dawood , F. Pour Rahimian, S. Seyedzadeh & M. Sheikhkhoshkar (Eds.), Enabling the Development and Implementation of Digital Twins: Proceedings of the 20th International Conference on Construction Applications of Virtual Reality (pp. 292-303) https://www.researchgate.net/profile/Farzad-Pour-Rahimian/publication/344444905_Enabling_the_Development_and_Implementation_of_Digital_Twins_Proceedings_of_the_20th_International_Conference_on_Construction_Applications_of_Virtual_Reality/links/5fb3ec4445851518fdad5eab/Enabling-the-Development-and-Implementation-of-Digital-Twins-Proceedings-of-the-20th-International-Conference-on-Construction-Applications-of-Virtual-Reality.pdf

Johansen, K. W., Nielsen, R., Schultz, C. & Teizer, J. (2021). Automated activity and progress analysis based on non-monotonic reasoning of construction operations. Smart and Sustainable Built Environment, 10(3), 457-486. https://doi.org/10.1108/SASBE-03-2021-0044

Johansen, K. W., Pimentel de Figueiredo, R., Golovina, O. & Teizer, J. (2021). Autonomous Safety Barrier Inspection in Construction: An Approach Using Unmanned Aerial Vehicles and SafeBIM. In C. Feng, T. Linner & I. Brilakis (Eds.), Proceedings of the 38th International Symposium on Automation and Robotics in Construction, ISARC 2021 (pp. 629-636) https://doi.org/10.22260/ISARC2021/0085

Johansen, K. W., Schultz, C. P. L. & Teizer, J. (2022). BIM-based fall hazard ontology and benchmark model for comparison of automated prevention through design approaches in construction safety. In J. Teizer & C. P. Leslie Schultz (Eds.), Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering (pp. 408-417) https://doi.org/10.7146/aul.455.c231

Johansen, K. W., Schultz, C. & Teizer, J. (2025). Knowledge graph exploitation to enhance the usability of risk assessment in construction safety planning. Advanced Engineering Informatics, 65, Article 103305. https://doi.org/10.1016/j.aei.2025.103305

Johansen, P., Christensen, S., Neve, H. H. & Wandahl, S. (2021). Lean Renovation – a Case Study of Productivity, Flow, and Time Improvements. In L. F. Alarcon, V. A. Gonzalez, D. Murguia & X. Brioso (Eds.), IGLC 2021 - 29th Annual Conference of the International Group for Lean Construction - Lean Construction in Crisis Times: Responding to the Post-Pandemic AEC Industry Challenges (pp. 839–848). Pontificia Universidad Católica del Perú. https://doi.org/10.24928/2021/0150

Jensen, S. R., Kirkegaard, P. H., Postiglione, G. & Strange, A. (2019). A tectonic aproach to energy renovation of dwellings: the case of Gellerup. In P. J. S. Cruz (Ed.), Structures and architecture: bridging the gap and crossing borders (pp. 99-108). CRC Press. https://books.google.dk/books?id=mQSiDwAAQBAJ&pg=PA99&dq=%22A+tectonic+approach+to+energy+renovation+of+dwellings+-+The+case+of+Gellerup%22&hl=da&sa=X&ved=0ahUKEwiV5sToye7mAhVRLFAKHaE5CzgQ6AEIJzAA#v=onepage&q=%22A%20tectonic%20approach%20to%20energy%20renovation%20of%20dwellings%20-%20The%20case%20of%20Gellerup%22&f=false

Jensen, S. R., Gabel, C. H., Petersen, S. & Kirkegaard, P. H. (2022). Potentials for increasing resident wellbeing in energy renovation of multi-family social housing. Indoor and Built Environment, 31(3), 624-644. https://doi.org/10.1177/1420326X211039883

Jensen, A. M. D., Schoerghofer-Queiroz, A., Ulriksen, M. D., Tcherniak, D., Damkilde, L., Talasila, P., Larsen, P. G. & Abbiati, G. (2024). Digital twin as a service for damage prognosis of offshore wind turbine foundations. In W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (Eds.), Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (pp. 4127-4141). KU Leuven, Departement Werktuigkunde.

Jensen, S. R. (2022). Architectural strategies for promoting well-being in sustainable renovation of social housing. [PhD dissertation, Aarhus University]. Aarhus Universitet. https://doi.org/10.7146/aulsps-e.484

Jędrzejczyk, A., Firek, K., Rusek, J. & Alibrandi, U. (2024). Prediction of damage intensity to masonry residential buildings with convolutional neural network and support vector machine. Scientific Reports, 14(1), Article 16256. https://doi.org/10.1038/s41598-024-66466-3

Jahangir, M. F., Schultz, C. P. L. & Kamari, A. (2024). A review of drivers and barriers of Digital Twin adoption in building project development processes. Journal of Information Technology in Construction, 29, 141-178. https://doi.org/10.36680/j.itcon.2024.008

Jahangir, M. F., Kamari, A. & Schultz, C. P. L. (2024). Developing A Building Simulation Identity Card for Enhanced Safety and Collaboration in Emergency Evacuation Simulations. In M. Srećković, M. Kassem, R. Soman & A. Chassiakos (Eds.), Proceedings of the 2024 European Conference on Computing in Construction (pp. 128-135) https://doi.org/10.35490/EC3.2024.199

Jahangir, M. F., Kamari, A. & Schultz, C. P. L. (2025). Unified and interoperable digital twin models for emergency evacuation using building simulation identity cards. Automation in Construction, 175, Article 106225. https://doi.org/10.1016/j.autcon.2025.106225

Jahangir, M. F., Kamari, A. & Schultz, C. P. L. (2025). Integrating Building Simulation Identity Card and Dynamic Data Modelling for Non-Structural Components within a BIM-based Digital Twin Framework for Enhanced Emergency Evacuation in Complex Buildings. In Proceedings of Smart and Sustainable Built Environment 2025 (pp. 176-185) https://isasbec.abc2.net/index.php/sasbe/article/view/2627

Jacobsen, E. L., Strange, N. S. & Teizer, J. (2021). Lean Construction in a Serious Game Using a Multiplayer Virtual Reality Environment. 55-64. Paper presented at 29th Annual Conference of the International Group for Lean Construction (IGLC) - Lima, Peru - 2021, Lima, Peru. https://doi.org/10.24928/2021/0160

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 J. Abualdenien, A. Borrmann, L.-C. Ungureanu & T. Hartmann (Eds.), EG-ICE 2021 Workshop on Intelligent Computing in Engineering, Proceedings: Proceedings (pp. 592-602). Universitätsverlag der TU Berlin. https://doi.org/10.14279/depositonce-12021

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, 22(3), 531-553. https://doi.org/10.1108/CI-06-2021-0113

Jacobsen, E. L. & Teizer, J. (2022). Deep Learning in Construction: Review of Applications and Potential Avenues. Journal of Computing in Civil Engineering, 36(2), Article 03121001. https://doi.org/10.1061/(ASCE)CP.1943-5487.0001010

Jacobsen, E. L. & Teizer, J. (2022). Neural Networks in the Construction Industry: Knowledge Gaps and Possibilities. In F. Jazizadeh, T. Shealy & M. J. Garvin (Eds.), Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022 (pp. 1174-1183). American Society of Civil Engineers. https://doi.org/10.1061/9780784483961.123

Jacobsen, E. L. & Teizer, J. (2022). Automating the Estimation of Productivity Metrics for Construction Workers Using Deep Learning and Kinematics. In J. Teizer & C. P. Leslie Schultz (Eds.), Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering (pp. 418-427) https://doi.org/10.7146/aul.455.c232

Jacobsen, E. L., Teizer, J. & Wandahl, S. (2023). Work estimation of construction workers for productivity monitoring using kinematic data and deep learning. Automation in Construction, 152, Article 104932. https://doi.org/10.1016/j.autcon.2023.104932

Jacobsen, E. L., Teizer, J. & Wandahl, S. (2023). An On-body Sensor-based Visual Management Tool for Work Task Progress Monitoring. In The 30th EG-ICE: International Conference on Intelligent Computing in Engineering (pp. 959-968) https://www.ucl.ac.uk/bartlett/construction/sites/bartlett_construction/files/an_on-body_sensor-based_visual_management_tool_for_work_task_progress_monitoring_0.pdf

Jacobsen, E. L., Wandahl, S. & Teizer, J. (2024). Forecasting Construction Labor Productivity Metrics. In Y. Turkan, J. Louis, F. Leite & S. Ergan (Eds.), Computing in Civil Engineering 2023: : Resilience, Safety, and Sustainability - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023 (pp. 1022 - 1029). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784485248.122

Jacobsen, E. L., Teizer, J., Wandahl, S. & Brilakis, I. (2024). Probabilistic forecasting of construction labor productivity metrics. Journal of Information Technology in Construction, 24, 58-83. https://doi.org/10.36680/j.itcon.2024.004

Jacobsen, E. L. (2024). Automating the Monitoring of Construction Labor Operations Using Wearable Sensors and Machine Learning. [PhD dissertation, Aarhus University]. Aarhus University.

Irani, N., Tafili, M., Prada-Sarmiento, L. F. & Wichtmann, T. (2024). Breakage Indices for Constitutive Models to Track the Evolution of Particle Crushing Under Continuous Shearing. Geotechnical and Geological Engineering, 42(6), 5363-5373. https://doi.org/10.1007/s10706-024-02804-6

Irani, N., Prada-Sarmiento, L. F., Tafili, M., Salimi, M., Wichtmann, T. & Triantafyllidis, T. (2025). Assessment of Free Energy Functions for Sand. International Journal for Numerical and Analytical Methods in Geomechanics, 49(1), 132-150. https://doi.org/10.1002/nag.3852

Ioakim, A., Greś, S., Döhler, M., Prendergast, L. J. & Chatzi, E. (2025). An indirect data-driven model-updating framework to estimate soil–pile interaction parameters using output-only data. Engineering Structures, 328, Article 119699. https://doi.org/10.1016/j.engstruct.2025.119699

Hundborg Koss, H., Kim, T., Vestergaard Larsen, S. & Georgakis, C. T. (2021). 10 Years of Research and Applications in the Climatic Wind Tunnel. (2 ed.) Danish Society for Structural Science and Engineering. Proceedings of the Danish Society for Structural Science and Engineering

Hudert, M. M. (2021). Connecting lines: Investigating the potential of ruled surface structures for circular construction. In C. Fivet, P. DÁcunto, M. Fernandez Ruiz & P. O. Ohlbrock (Eds.), Proceedings of the International fib Symposium on the Conceptual Design of Structures, 2021 (pp. 469-476) https://doi.org/10.35789/fib.PROC.0055.2021.CDSymp.P057

Hudert, M. M., Aranha, C. A. & Fink, G. (2021). Experimental Investigation of Interlocking Birch Plywood Structures. Poster session presented at 2020 World Conference on Timber Engineering, Santiago, Chile.

Hudert, M. M., Elvebakken, M. F., Meagher, M., Mangliar, L., Zhang, X. & Esterle, L. (2022). Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails. In Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (pp. 1740-1748)

Hudert, M. M. & Mangliar, L. (2023). A reconfigurable construction system based on hypar timber components. In IASS 2023 Melbourne Symposium: Design Competition (WG21) (pp. 1-7). International Association for Shell and Spatial Structures (IASS).

Hudert, M., Lindemann, D., Mangliár, L. & Swann, A. (2024). Computing irregular hypar-based quad-mesh patterns for segmented timber shells. Computer-Aided Design, 177, Article 103772. https://doi.org/10.1016/j.cad.2024.103772

Huang, T., Rong, L., Zhang, G., Brandt, P., Bjerg, B. S., Pedersen, P. & Granath, S. W. L. (2021). A two-node mechanistic thermophysiological model for pigs reared in hot climates: Part 1: Physiological responses and model development. Biosystems Engineering, 212, 302-317. https://doi.org/10.1016/j.biosystemseng.2021.08.024

Huang, T., Rong, L., Zhang, G., Brandt, P., Bjerg, B. S., Pedersen, P. & Granath, S. W. L. (2021). A two-node mechanistic thermophysiological model for pigs reared in hot climates: Part 2: Model performance assessments. Biosystems Engineering, 212, 318-335. https://doi.org/10.1016/j.biosystemseng.2021.08.021

Huang, T., Rong, L. & Zhang, G. (2022). Investigating the feasibility of using computational fluid dynamics based response surface methodology and neural network to model the performance of the individualised ventilation in sow houses. Biosystems Engineering, 214, 138-151. https://doi.org/10.1016/j.biosystemseng.2021.12.015

Huang, T., Rong, L. & Zhang, G. (2021). On the feasibility of using Neural Networks to model the performance of the precision air distribution in sectioned sow houses. In Proceedings of the 12nd International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2021)

Huang, T., Zhang, G., Brandt, P., Bjerg, B., Pedersen, P. & Rong, L. (2022). An effective temperature derived from a mechanistic thermophysiological model for sows reared in hot climates. Biosystems Engineering, 220, 19-38. https://doi.org/10.1016/j.biosystemseng.2022.05.015

Huang, T., Zhang, G. & Rong, L. (2022). Conductive heat loss of sows in a ventilated environment identified by steady CFD-CHT modelling considering thermophysiological effects. Computers and Electronics in Agriculture, 199, Article 107142. https://doi.org/10.1016/j.compag.2022.107142

Huang, T. (2022). Optimal cooling for high productive sows in hot climates: [PhD dissertation, Aarhus University]. Aarhus Universitet.

Displaying results 401 to 450 out of 699

Revised 13.11.2025

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