Projects per year
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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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
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Forecasting of Covid-19 Based on Synthetic Individual Data
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
23-08-01 → 24-07-31
Project: Research project
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Development of Reliable Video-Based Monitoring of Vital Signs
22-08-01 → 23-07-31
Project: Research project
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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
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Age Prediction Using Resting-State Functional MRI
Chang, J. R., Yao, Z. F., Hsieh, S. & Nordling, T. E. M., 2024 Apr, In: Neuroinformatics. 22, 2, p. 119-134 16 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
A structured course of disease dataset with contact tracing information in Taiwan for COVID-19 modelling
Wu, Y. H. & Nordling, T. E. M., 2024 Dec, In: Scientific Data. 11, 1, 821.Research output: Contribution to journal › Article › peer-review
Open Access -
Combining Old School Autoencoder with Cotracker for Improved Skin Feature Tracking
Shi, W. P. & Nordling, T. E. M., 2024, 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024. Institute of Electrical and Electronics Engineers Inc., (2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Citation (Scopus) -
GeneSPIDER2: large scale GRN simulation and benchmarking with perturbed single-cell data
Garbulowski, M., Hillerton, T., Morgan, D., Seçilmiş, D., Sonnhammer, L., Tjärnberg, A., Nordling, T. E. M. & Sonnhammer, E. L. L., 2024 Sept 1, In: NAR Genomics and Bioinformatics. 6, 3, lqae121.Research output: Contribution to journal › Article › peer-review
Open Access