![Dr Hamad Javaid](http://www.exeter.ac.uk/images/profiles/Hamad_Javaid.jpg?cachePrevention=fe839353cac448b5222db61696265396)
Dr Hamad Javaid
Associate Lecturer Senior Technician (E&S)
H.Javaid@exeter.ac.uk
Washington Singer Room 113
Washington Singer Laboratories, University of Exeter, Perry Road, Prince of Wales Road, Exeter, EX4 4QG, UK
Overview
Qualifications
Ph.D in Biomedical Engineering, Faculty of Medicine, PSU, Thailand
M.Sc in Electrical and Electronics Eningeering, University of Bradford, UK.
Research
Research interests
- Biomedical Devices, Sensors and Signals
- Machine Learning
- Electroencephalogram (EEG) Signal Analysis
- Explainable Artificial Intelligence
- Application of AI in Neuroscience
- Robotics in Healthcare
Research projects
Feature extraction and classification of EEG singlas in Aging
Links
Publications
Journal articles
Javaid H (In Press). Application of Hjorth parameters in the classification of healthy aging EEG signals. Songklanakarin Journal of Science and Technology (SJST)
Javaid H, Nouman M, Cheaha D, Kumarnsit E, Chatpun S (2024). Complexity measures reveal age-dependent changes in electroencephalogram during working memory task. Behavioural Brain Research, 470, 115070-115070.
Javaid H, Kumarnsit E, Chatpun S (2022). Age-Related Alterations in EEG Network Connectivity in Healthy Aging. Brain Sciences, 12(2), 218-218. Abstract.
Javaid H, Manor R, Kumarnsit E, Chatpun S (2022). Decision Tree in Working Memory Task Effectively Characterizes EEG Signals in Healthy Aging Adults. IRBM, 43(6), 705-714.
Conferences
Javaid H, Qureshi S, Hagelbäck J, Muhammad Zeeshan Iqbal S, A. Lindley C (In Press). Evaluation of Classifiers for Emotion Detection While Performing Physical and Visual Tasks: Tower of Hanoi and IAPS. Intelligent Systems and Applications.