Syed Adil Hussain Shah

Ph.D. candidate in Bioingegneria E Scienze Medico-chirurgiche , 38th cycle (2022-2025)
Department of Mechanical and Aerospace Engineering (DIMEAS)



Research topic

IoT Innovations for Early Diagnosis of Newborn Motor/Cognitive Impairments


Research interests

Computer Science
Medical Innovation and Technology
ICT and smart sensors for eHealth
Biomedical signal and image processing


Syed Adil Hussain Shah (Pakistan, born in 1996) working in GPI SpA (Trento, Italy) as an IT researcher under the supervision of Angelo Di Terlizzi (Project Manager) and a PhD scholar (Marie Curie Fellow; PARENT Project URL: at Politecnico di Torino (Turin, Italy) under the supervision of prof. Marco Agostino Deriu. Currently, he is working on the development of novel IoT-based solutions to the early diagnosis of newborn motor/cognitive impairments. His field of expertise is related to machine vision, biomedical imaging, and intelligence system development.
In 2022, he did his master in the filed of Computer Science with the specialization of biomedical image analysis from COMSATS University of Islamabad, Wah campus, Pakistan. In this study era, he specialized in Artificial Intelligence and related areas namely Computer Vision, Advance Neural Network, Pattern Recognition, Machine and Deep learning. Moreover, his master thesis focused on medical image processing (Title: “An ensemble deep neural network method for the classification of Pneumonia using X-ray images”). The main objective of this study is to focused on deep multi parallel fusion layers to analysis the multi aspect features of the X-ray images and classify the pneumonia cases at earlier stage. In 2019, he did his bachelor degree in the field of Computer Science from Muhammad Nawaz Shareef University of Agriculture, Multan, Pakistan.


Research groups


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