Syed Taimoor Hussain Shah

Dottorando in Bioingegneria E Scienze Medico-chirurgiche , 37o ciclo (2021-2024)
Dipartimento di Ingegneria Meccanica e Aerospaziale (DIMEAS)

Assegnista di Ricerca
Dipartimento di Ingegneria Meccanica e Aerospaziale (DIMEAS)


Dottorato di ricerca

Argomento di ricerca

Explainable machine learning aided computer vision targeting pathology dynamics


Interessi di ricerca

Computer Science
Medical Innovation and Technology
Biomedical signal and image processing


Syed Taimoor Hussain Shah (Pakistan, born in 1992) is currently a PhD scholar (Marie Curie Fellow; PARENT Project, Horizon 2020) at Politecnico di Torino (Turin, Italy) under the supervision of prof. Marco Agostino Deriu. He is currently working on explainable machine learning aided computer vision targeting pathology dynamics. He received his bachelor degree in Computer Science from Bahauddin Zakariya University, Multan, Pakistan in 2016. During this period, he focused on different computer courses such as programming languages, Operating Systems (Windows and Linux), Datastructure, Databases, Artificial Intelligence, etc. After that, he completed his master in Computer Science from Pakistan Institute of Engineering and applied sciences. During which, he specialized in Artificial Intelligence and Machine Vision including related areas such as Computer and Mobile Vision, Bioinformatics, Pattern Recognition, and Machine and Deep learning. Moreover, during his master thesis (Title: “Classification and Segmentation Models for Hyperspectral Imaging”), he employed the semi-supervised technique by using active learning and multinomial logistic regression on AVIRIS and INDIAN PINES datasets (3D Cubes: Spectral and Spatial information) for classification and segmentation of land regions.

Settore scientifico discliplinare

(Area 0009 - Ingegneria industriale e dell'informazione)


Settori ERC

PE8_13 - Industrial bioengineering


Goal 3: Good health and well-being
Goal 8: Decent work and economic growth
Goal 9: Industry, Innovation, and Infrastructure


Gruppi di ricerca


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