Raul Fernandez Rojas

EmailRaul.FernandezRojascanberra.eduau

Accepting PhD Students

PhD projects

We seek applications for PhD student positions in machine leaning/deep learning with a focus on neurophysiological sensors (e.g., EEG, fNIRS, ECG, EDA, PPG) and facial expressions for pain recognition in humans. Successful candidates will receive world-class training, opportunities to attend international conferences, and visiting other research labs. Applicants with a strong research background and published work in relevant fields are particularly encouraged to apply.

Interested applicants should contact Dr. Raul Fernandez-Rojas by email at [email protected]. Include your CV with the following information: previous relevant experience, a list of previous publications, a copy of relevant grade documents, and full contact details.

Research activity per year

Student Projects Available

Physiological and Neurological indicators of pain.

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Dive into the research topics where Raul Fernandez Rojas is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

1 Active

A Pilot Study on Younger On-set Dementia Detection Using Machine Learning and the Impact of a 12-week Home-Based Exercise Program for Enhancing Motor Function in Younger On-set Dementia
GHAHRAMANI, M. (CI), D'CUNHA, N. (CoI), Rojas, R. F. (CoI) & NORTHEY, J. (CoI)
1/05/24 → 1/05/26
Project: Research

34 Article
28 Conference contribution
2 Chapter
1 Editorial
More
- 1 Review article

Pain intensity estimation via multimodal fusion: Leveraging ternary textures of derivatives in EDA and PPG signals
Khan, M. U., Hirachan, N., Joseph, C., Murtagh, L., Chetty, G., Goecke, R. & Fernandez-Rojas, R., Feb 2026, In: Biomedical Signal Processing and Control. 112, p. 1-17 17 p., 108532.
Research output: Contribution to journal › Article › peer-review
A CrossMod-Transformer deep learning framework for multi-modal pain detection through EDA and ECG fusion
Farmani, J., BARGSHADY, G., Gkikas, S., Tsiknakis, M. & Fernandez-Rojas, R., 2025, In: Scientific Reports. 15, 1, p. 1-20 20 p., 29467.
Research output: Contribution to journal › Article › peer-review

Open Access
File
6 Citations (Scopus)

14 Downloads (Pure)
A Systematic Review of Multimodal Signal Fusion for Acute Pain Assessment Systems
Khan, M. U., Chetty, G., Goecke, R. & Fernandez-Rojas, R., 2025, (Accepted/In press) In: ACM Computing Surveys. p. 1-34 34 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
1 Downloads (Pure)
A two-stage architecture for identifying and locating the source of pain using novel multi-domain binary patterns of EDA
Aziz, S., Joseph, C., Hirachan, N., Murtagh, L., Chetty, G., Goecke, R. & Fernandez-Rojas, R., 2025, In: Biomedical Signal Processing and Control. 104, p. 1-12 12 p., 107454.
Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus)
Early-stage Parkinson's disease detection using multimodal brain-body biomarkers from fNIRS and IMU data
Sousani, M., Rojas, R. F., Preston, E. & Ghahramani, M., 2025, In: Computers in Biology and Medicine. 197, Pt B, p. 1-13 13 p., 111096.
Research output: Contribution to journal › Article › peer-review

Raul Fernandez Rojas

Personal profile

Student Projects Available

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

A Pilot Study on Younger On-set Dementia Detection Using Machine Learning and the Impact of a 12-week Home-Based Exercise Program for Enhancing Motor Function in Younger On-set Dementia

Pain intensity estimation via multimodal fusion: Leveraging ternary textures of derivatives in EDA and PPG signals

A CrossMod-Transformer deep learning framework for multi-modal pain detection through EDA and ECG fusion

A Systematic Review of Multimodal Signal Fusion for Acute Pain Assessment Systems

A two-stage architecture for identifying and locating the source of pain using novel multi-domain binary patterns of EDA

Early-stage Parkinson's disease detection using multimodal brain-body biomarkers from fNIRS and IMU data

Raul Fernandez Rojas

Personal profile

Student Projects Available

Fingerprint

Collaborations and top research areas from the last five years

Projects

A Pilot Study on Younger On-set Dementia Detection Using Machine Learning and the Impact of a 12-week Home-Based Exercise Program for Enhancing Motor Function in Younger On-set Dementia

Research output

Pain intensity estimation via multimodal fusion: Leveraging ternary textures of derivatives in EDA and PPG signals

A CrossMod-Transformer deep learning framework for multi-modal pain detection through EDA and ECG fusion

A Systematic Review of Multimodal Signal Fusion for Acute Pain Assessment Systems

A two-stage architecture for identifying and locating the source of pain using novel multi-domain binary patterns of EDA

Early-stage Parkinson's disease detection using multimodal brain-body biomarkers from fNIRS and IMU data