Amir Nassibi

Amir Nassibi is a Postdoctoral Research Associate at Imperial College London's Communication and Signal Processing Research Group (CSP), Department of Electrical and Electronic Engineering. He holds a PhD from Imperial College London and an MSc in Advanced Digital Systems from the University of Hertfordshire. His research focuses on machine learning applications in healthcare, wearable sensor systems, and signal processing for biomedical diagnostics. He is affiliated with the UK Dementia Research Institute (UKDRI) and collaborates on multidisciplinary projects.

Education:

• PhD in Electrical and Electronic Engineering, Imperial College London (UK)
• MSc in Advanced Digital Systems, University of Hertfordshire (UK)

Research interests include EEG-based depression diagnosis, wearable multimodal sensing platforms like BioBoard, and edge computing for AI deployment in healthcare. His work addresses challenges in signal enhancement, algorithm optimization for embedded systems, and reducing bias in medical device outputs. He explores topics such as memristor modeling for integrated circuits and in-ear ECG/PPG fusion for vital signs monitoring.

Awards: None explicitly stated.

Advising & Grants: While specific grants are not detailed, his role as a postdoctoral researcher suggests involvement in funded projects. He collaborates on lab initiatives within the CSP group and UKDRI.

Labs/Teams: Active contributor to the Communication and Signal Processing Group at Imperial College London and the UK Dementia Research Institute's interdisciplinary teams.