Dottorando in Bioingegneria E Scienze Medico-chirurgiche , 38o ciclo (2022-2025)
Dipartimento di Ingegneria Meccanica e Aerospaziale (DIMEAS)
Profilo
Dottorato di ricerca
Argomento di ricerca
IoT Innovations for Early Diagnosis of Newborn Motor/Cognitive Impairments
Tutori
Interessi di ricerca
Biografia
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: https://parenth2020.com/) 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.
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.
Ricerca
Gruppi di ricerca
Pubblicazioni
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Shah, Syed Taimoor Hussain; Shah, Syed Adil Hussain; Khan, Iqra Iqbal; Imran, Atif; ... (2024)
Data-driven classification and explainable-AI in the field of lung imaging. In: FRONTIERS IN BIG DATA, vol. 7. ISSN 2624-909X
Contributo su Rivista - Shah, Syed Taimoor Hussain; Shah, Syed Adil Hussain; Qureshi, Shahzad Ahmad; Di ... (2023)
Automated facial characterization and image retrieval by convolutional neural network. In: FRONTIERS IN ARTIFICIAL INTELLIGENCE. ISSN 2624-8212
Contributo su Rivista