EngTech

Engineering & Technology

EngTech (Engineering & Technology) is an interdisciplinary research group at the Department of Business Development and Technology (BTECH), Aarhus University, Herning.

The research of EngTech focuses on technology, technological functionalities and engineering with a view to creating new opportunities for private companies and public organisations.

The research revolves around technology as a starting point for change and technology in an application perspective. The group often works with technology in a life-cycle perspective from idea and design to production and operations.

Contact

Allan Gross

Professor

M agr@btech.au.dk
H 8001, 1212
P +4587166918
P +4561150219

Members

Strategy

Labs

Projects and collaborations

Events

Research focus

The scientific backbone of the EngTech research group is to pursue research within engineering, technological artifacts, sociotechnical systems, information technology and mathematical modeling in order to:

Combine a large number of data from experiments with (applied) science for understanding the processes in scientific and engineering problems.
Design science research (understanding, analysing, systematising frameworks to determine the design of technological development).
Map analytical tools to understand technologies in companies and society from a technical perspective; e.g., digital capabilities as a prerequisite for integration and efficiency, mechanical engineering capabilities as an enabler for production configuration.
Apply an open approach to technology in the context of changes and the ability to support diversity with combinations of existing and novel technologies into new opportunities.
Examine engineering management processes with a particular focus on governance of technical development and operations processes in the view of support of complex and changing technologies in companies.
Ensure the involvement of relevant organisational and economic aspects in concrete design, implementation and operation of technology solutions.

Visions

The main visions of the EngTech research group are to:

Contribute/support the engineering study programmes at BTECH/AU with research-based teaching. In particular, to constitute the major research foundation for the MSc in Engineering study programme (cand.polyt.).
Become an attractive research project partner for national and international research groups.
Support private companies and public institutions with technology and socio-technological solutions.
Profiling and positioning the engineering education in the business community in Denmark and among students in national and international environments.
Create a vibrant environment for the talent development of final-stage MSc students, PhD students, postdocs and assistant professors.

The research group vision is to connect these five visions in a lab for engineering and technology where researchers and students can interact and collaborate.

Objectives

The group's main objectives are to:

Pursue and publish research within engineering and engineering management as consisting of the integrated fabric of engineering design methodologies, engineering operations frameworks, technological artifacts, socio-technical systems, information systems, information technology and mathematical modeling.
Contribute to the engineering study programmes at BTECH/AU. In particular to constitute the major research foundation for the MSc in Engineering study programme (cand.polyt.).
Build bridges to private companies and public institutions with technology and socio-technological solutions.

History

The EngTech research group held its first formal meeting 1 October 2015. Prior to this, the group's members had collaborated on engineering research activities for at least five years.

The main reason for forming a formal research group was an intention to strengthen:

The members' research activities
The research support for the engineering study programmes at the department.

Publications

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Lydekaityte, J. & Tambo, T. (2020). Connected Stores, Connected Brands, Connected Consumers, Connected Goods: On Business Model Ecosystems in Internet of Packaging. Nordic and Baltic Journal of Information and Communications Technologies, 1, 77-92. https://doi.org/10.13052/nbjict1902-097X.2020.004

Teizer, J., Neve, H., Li, H., Wandahl, S., König, J., Ochner, B., König, M. & Lerche, J. (2020). Construction resource efficiency improvement by Long Range Wide Area Network tracking and monitoring. Automation in Construction, 116, [103245]. https://doi.org/10.1016/j.autcon.2020.103245

Lerche, J., Neve, H. H., Wandahl, S. & Gross, A. (2020). Continuous Improvements at Operator Level. Journal of Engineering, Project, and Production Management , 10(1), 64-70. https://doi.org/10.2478/jeppm-2020-0008

Enevoldsen, P., Permien, F. H., Bakhtaoui, I., Krauland, A. K. V., Jacobson, M. Z., Xydis, G., Sovacool, B. K., Valentine, S. V., Luecht, D. & Oxley, G. (2020). Corrigendum to “How much wind power potential does Europe have? Examining European wind power potential with an enhanced socio-technical atlas” [Energy Policy 132 (2019) 1092 - 1100] (Energy Policy (2019) 132 (1092–1100), (S0301421519304343), (10.1016/j.enpol.2019.06.064)). Energy Policy, 138, [111213]. https://doi.org/10.1016/j.enpol.2019.111213

Furszyfer Del Rio, D. D., Sovacool, B. K., Bergman, N. & Makuch, K. E. (2020). Critically reviewing smart home technology applications and business models in Europe. Energy Policy, 144, [111631]. https://doi.org/10.1016/j.enpol.2020.111631

Chen, C. F., Hong, T., de Rubens, G. Z., Yilmaz, S., Bandurski, K., Bélafi, Z. D., De Simone, M., Bavaresco, M. V., Wang, Y., Liu, P. L., Barthelmes, V. M., Adams, J., D'Oca, S. & Przybylski, Ł. (2020). Culture, conformity, and carbon? A multi-country analysis of heating and cooling practices in office buildings. Energy Research and Social Science, 61, [101344]. https://doi.org/10.1016/j.erss.2019.101344

Prasad, R. & Rohokale, V. (2020). Cyber Security: The Lifeline of Information and Communication Technology. Springer. Springer Series in Wireless Technology

Prasad, S. & Prasad, R. (2020). Data Standardization and Scaling Technique for the Implementation of Human Bond Communication. Wireless Personal Communications, 110(2), 959-972. https://doi.org/10.1007/s11277-019-06767-3

Flammini, M., Kodric, B., Olsen, M. & Varricchio, G. (2020). Distance Hedonic Games. I AAMAS 2020, May 9–13, Auckland, New Zealand IFAAMAS. http://ifaamas.org/Proceedings/aamas2020/

Enevoldsen, P. (2020). Estimating wind conditions in forests using roughness lengths: A matter of data input. Wind Engineering, 44(2), 142-151. https://doi.org/10.1177/0309524X19849849

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Revideret 27.01.2020