Ayman Amin

Pharmacy-trained scientist with an MSc in Nanoscience and a PhD in Materials Science, bringing substantial postdoctoral and research-scientist experience spanning nanomaterials, electrochemistry, and analytical method development for biomedical and pharmaceutical applications. Output and innovation include 25 research articles and six patents/patent applications, supported by a strong record of research leadership and competitive/industry-backed programs (with budgets ranging from ~US$150k to ~US$725k). Recognition includes an Excellence in Publications Award and multiple Best Presenter awards. Current work is centered on computational biomedical informatics, developing and translating AI/deep learning methods across biosignals (EEG, ECG), medical records, and medical imaging (CT/MRI), as well as digital pathology, in close collaboration with neurology, cardiology, pathology, and other clinical departments to enable clinically useful decision-support and analytics.

Biomedical signal analytics.

Clinical data science.

Translational biomedical informatics.

Electrochemistry & electroanalytical method development.

Nanomaterials & energy-storage materials.

Pharmaceutical sciences.

Career history spans pharmaceutical quality control and analytical method development in Egypt (Medizen Pharmaceutical Industries, 2009–2010), followed by nanotechnology research (Center for Nanotechnology, Nile University, 2010–2012). From 2013 to 2021, appointments in Singapore at A*STAR, alongside PhD training at Nanyang Technological University, focused on nanomaterials, electrochemistry, and energy-storage technologies, with a strong record of publications, patents/patent applications, and funded research leadership. This was followed by a postdoctoral role at the University of Sharjah (RISE, 2022–2024), developing electrochemical sensors and biomedical/pharmaceutical analytical methods, then a scientist position at King Faisal Specialist Hospital & Research Centre (KFSHRC, 2024–2025). Current roles include Adjunct Scientist at KFSHRC (Research & Innovation) and industry consulting, with work centered on AI/deep learning for multimodal clinical data, biosignals, imaging, and medical records, across neurology, cardiology, pathology, and other clinical domains.