Personlig presentation av Roger G Nyberg

PhD

Information Science School of Information and Engineering

Senior Lecturer Information and Communications Technology

Information Science School of Information and Engineering

I am the head of main field of studies in Informatics, which includes the educational programs Systems Science, Graphic Design and Web Development and Digital Services.

Contact

rny@du.se

023-77 88 73

Other Profile Pages

Researchgate

Orcid user ID

Googlescholar

Boards

Board Member in University Education and Research Board

Committees

Board Member in Committee for Education Evaluation

Background

In 2016, I defended my PhD thesis at Edinburgh Napier University at School of Engineering and Built Environment, Scotland, UK, with the title Automating condition monitoring of vegetation on railway trackbeds and embankments. I am basically a computer engineer and have a bachelor of science degree and a master of science degree in computer engineering.

Teaching

Mainly, I teach artificial intelligence, data science, machine learning, software engineering/programming, project management and scientific method.

I supervise and examine degree theses at undergraduate and advanced level.

Course Coordinator

Artificial Intelligence (GIK2FB)

Communication, Group Dynamics and eServices (IK1024)

Data Science & Machine Learning (GIK2KM)

Thesis for Bachelor Degree in Informatics (GIK28T)

Research

I conduct research within the realms of Computer Science/Informatics and Microdata Analysis. My professional skills and research focus: Data Science, Machine Learning, Machine Vision, Monitoring, Research Methodology, Agile Management, and Applied Statistics. My research work often revolves around how to (fully or partially) automate human decision making. In this context, I study why and how humans makes certain decisions (knowledge engineering) and how to make decisions and often actions more rational. Applications areas are e.g. transportation, software engineering, health and sport science, and e-commerce.

Publications

Saeed, Nausheen, Alam, Moudud, Nyberg, Roger G. A multimodal deep learning approach for gravel road condition evaluation through image and audio integration, Transportation Engineering, 2024, Vol. 16. Article : refereed.
Saeed, Nausheen, Alam, Moudud, Nyberg, Roger G. Automatic detection of loose gravel condition using acoustic observations, International Journal on Road Materials and Pavement Design, 2024. Article : refereed.
Westergren, Jens, Sjöberg, Veronica, Vixner, Linda, Nyberg, Roger G., Moulaee Conradsson, David, Monnier, Andreas, LoMartire, Riccardo, Enthoven, Paul, Äng, Björn. Acute exercise as active inference in chronic musculoskeletal pain, effects on gait kinematics and muscular activity in patients and healthy participants : a study protocol for a randomised controlled laboratory trial, BMJ Open, 2023, Vol. 13, No. 5. Article : refereed.
Zhu, Yurong, Song, William Wei, Nyberg, Roger G., Rybarczyk, Yves, Wang, X. A Review on Data-driven Methods for Studying Hygrothermal Transfer in Building Exterior Walls, ICBDT '23: Proceedings of the 2023 6th International Conference on Big Data Technologies : 2023. Conference paper : refereed.
Zhu, Yurong, Song, William Wei, Wang, X., Rybarczyk, Yves, Nyberg, Roger G., Fei, B. A Novel Approach to Discovering Hygrothermal Transfer Patterns in Wooden Building Exterior Walls, Buildings, 2023, Vol. 13, No. 9. Article : refereed.

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