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dr.ir. L.L. olde Scholtenhuis (Léon)

Universitair docent

Over mij

Léon is programmaleider van ZoARG | ReDUCE, het programma waarin techniek, proces en opleiding wordt ontwikkeld in een Living Lab setting waarin graafschade wordt gereduceerd en zorgvuldige aanleg bevorderd. Léon's expertise ligt op gebied van smart city construction, technologie-adoptie en innovatie en binnenstedelijke infrastructuur

Expertises

Computer Aided Design
Planning
Coordination
Method
Excavation
Visualization
Scheduling
Organizing
Simulation
Construction
Pipelines
Practice

Onderzoek

Léon analyzes and develops methods, concepts and technologies that support multi-stakeholder coordination in urban infrastructure management processes. His passion is to engage with practice while studying the uptake of new technologies, and tailoring information and visualization systems. Most recently his research focuses on the construction as well as the life cycle management of buried infrastructures such as cables and pipelines. This particular field is very challenging since the ownership of these assets is widely diffused, creating a very fragmented domain.

Publicaties

Recente Artikelen
olde Scholtenhuis, L. L., & Doree, A. G. (2017). Forget the rules and innovate: contesting a myopic view on the impact of rules on innovation. In ARCOM Thirty-Third Annual Conference 2017: September 4-6, Cambridge: Working Papers (pp. 329-338). ARCOM.
Racz, P., Syfuss, L., Schultz, C., van Buiten, M., olde Scholtenhuis, L. L., Vahdatikhaki, F., & Doree, A. G. (2017). Decision Support for Test Trench Location Selection with 3D Semantic Subsurface Utility Models. In K-Y. Lin, N. El-Gohary, & P. Tang (Eds.), Computing in Civil Engineering 2017: Smart Safety, Sustainability, and Resilience (Vol. 2017, pp. 68-75). Seattle, Washington. DOI: 10.1061/9780784480847
olde Scholtenhuis, L. L., Zlatanova, S., & den Duijn, X. (2017). 3D Approach for Representing Uncertainties of Underground Utility Data. In K-Y. Lin, N. El-Gohary, & P. Tang (Eds.), Computing in Civil Engineering 2017: Information Modeling and Data Analytics (Vol. 2017, pp. 369-376). Seattle, Washington: American Society of Civil Engineers (ASCE).
Vahdatikhaki, F., Hammad, A., olde Scholtenhuis, L. L., Miller, S. R., & Makarov, D. (2017). Data-Driven Scenario Generation for Enhanced Realism of Equipment Training Simulators. Paper presented at 6th CSCE/CRC International Construction Specialty Conference, Vancouver, Canada.

Pure Link

Google Scholar Link

Onderwijs

Léon geeft in de BSc. en MSc. vakken over Smart Cities, Digitalisering in de Bouw, Innovaties in de Bouw en Coordinatie van Binnenstedelijke Ondiepe Ondergrondse Infraprojecten

Verbonden aan Opleidingen

Master

Vakken

Contactgegevens

Bezoekadres

Universiteit Twente
Faculteit Engineering Technology
Horst - Ring (gebouwnr. 21), kamer Z-216
De Horst 2
7522LW  Enschede

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Postadres

Universiteit Twente
Faculteit Engineering Technology
Horst - Ring  Z-216
Postbus 217
7500 AE Enschede

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