Personal profile
Education
- 2013 Doctor of Philosophy, Automatic Control, KTH Royal Institute of Technology
- 2005 Master of Science, Engineering Physics, KTH Royal Institute of Technology
Research Interests
Applying predictive modeling and identifying key decision variables in interdisciplinary research
- Epidemiological Modeling and Public Health Analytics
Forecasting the progression of infectious disease outbreaks using data-driven approaches
Identifying key variables for guiding intervention strategies
Benchmarking and evaluating alternative models for infection spread forecasting -
Systems Biology and Computational Biology
Inferring and benchmarking gene regulatory networks
Designing experiments to optimize informative perturbations
Simulating and analyzing dynamical biological systems -
Deep Learning, Machine Learning, and Medical Imaging
Predicting brain age and analyzing neurodegenerative diseases using MRI data
Tracking skin features for medical and motion analysis applications
Using autoencoder-based feature extraction to reduce reliance on manual labeling -
Data-Driven Decision Making and Predictive Modeling
Developing open-source tools for predictive modeling and benchmarking
Converting large-scale data into actionable insights for decision-makers -
Control Theory and System Identification
Applying regularization techniques for sparse estimation
Investigating dynamical compensation and adaptive control in biological systems
Experience
- 2024/02 - present Associate Professor, National Cheng Kung University
- 2020/08 - 2022/07 Assistant Professor, Joint Faculty, Miin Wu School of Computing
- 2020/01 - 2021/12 Senior Lecturer, Umeå University
- 2015/09 - 2024/01 Assistant Professor, National Cheng Kung University
- 2013/11 - 2015/07 CEO, Founder, Nordron AB
- 2013/01 - 2015/09 Researcher/PostDoc, Uppsala University
- 2014/09 - 2015/01 Co-founder, Jagah Systems AB
- 2005/09 - 2013/06 Researcher/PhD student, KTH Royal Institute of Technology
- 2007/01 - 2007/03 Visiting Researcher, Telethon Institute of Genetics and Medicine
- 2003/12 - 2006/10 Researcher, University of Vaasa
- 2002/09 - 2003/09 Visiting Researcher, Japan Science and Technology Agency
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 8 Decent Work and Economic Growth -
SDG 12 Responsible Consumption and Production
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Dive into the research topics where Torbjörn Nordling is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 10 Finished
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Forecasting of Covid-19 Based on Synthetic Individual Data
Nordling, T. (PI)
24-08-01 → 25-07-31
Project: Research project
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Development of a Covid-19 Forecasting Model Based on Synthetic Individual Data
Nordling, T. (PI)
23-08-01 → 24-07-31
Project: Research project
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Development of Reliable Video-Based Monitoring of Vital Signs
Nordling, T. (PI)
22-08-01 → 23-07-31
Project: Research project
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Rank-based transformation algorithm for image contrast adjustment
Chen, C. H. & Nordling, T. E. M., 2026 Feb, In: Signal Processing: Image Communication. 141, 117432.Research output: Contribution to journal › Article › peer-review
Open Access -
A meta-analysis of vaccine efficacy from phase III clinical trials of approved vaccines against SARS-CoV-2 and variants
Dhayfule, D., Wu, Y. H., Akram, A., Li, M.-C., Tsai, C.-S., Chen, P. L. & Nordling, T. ., 2025 Dec, In: BMC infectious diseases. 25, 1, 1169.Research output: Contribution to journal › Review article › peer-review
Open Access -
ChatGPT struggles to recognize reproducible science
Chang, J. R. & Nordling, T. E. M., 2025 Aug, In: Knowledge and Information Systems. 67, 8, p. 6825-6843 19 p.Research output: Contribution to journal › Article › peer-review
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Skin feature point tracking using deep feature encodings
Chang, J. R. & Nordling, T. E. M., 2025 Apr, In: International Journal of Machine Learning and Cybernetics. 16, 4, p. 2503-2521 19 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Acquisition and Synchronisation of Cardiography Signals from a Clinical Patient Monitor with Facial Video Recordings
Meher, J., Wang, C. C. & Nordling, T. E. M., 2024, International Conference on Biomedical and Health Informatics 2022 - Proceedings of ICBHI 2022. Pino, E., Magjarevic, R. & de Carvalho, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 254-261 8 p. (IFMBE Proceedings; vol. 108).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution