Syed Taimoor Hussain Shah

PhD Student in Bioingegneria E Scienze Medico-chirurgiche , 37th cycle (2021-2024)
Department of Mechanical and Aerospace Engineering (DIMEAS)

Research Assistant
Department of Mechanical and Aerospace Engineering (DIMEAS)

Profile

PhD

Research topic

Explainable machine learning aided computer vision targeting pathology dynamics

Tutors

Research interests

Computer Science
Medical Innovation and Technology
Biomedical signal and image processing

Biography

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.

Scientific branch

ING-IND/34 - INDUSTRIAL BIOENGINEERING
(Area 0009 - Industrial and information engineering)

Skills

ERC sectors

PE8_13 - Industrial bioengineering

SDG

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

Research

Research groups

Publications

Latest publications View all publications in Porto@Iris