Dottorato in Bioingegneria E Scienze Medico-chirurgiche , 37o ciclo (2021-2024)
Dottorato concluso nel 2025
Tesi:
Multimodal AI Tools for Predicting Neurological and Neurodevelopmental Trajectories (Abstract)
Tutori:
Marco Agostino Deriu Umberto MorbiducciProfilo
Argomento di ricerca
Explainable machine learning aided computer vision targeting pathology dynamics
Interessi di ricerca
Biografia
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.
Ricerca
Gruppi di ricerca
Pubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Chaudhary, Qurat-ul-ain; Ahmad Qureshi, Shahzad; Sadiq, Touseef; Usman, Anila; Khawar, ... (2025)
SAlexNet: Superimposed AlexNet using Residual Attention Mechanism for Accurate and Efficient Automatic Primary Brain Tumor Detection and Classification. In: RESULTS IN ENGINEERING, vol. 25. ISSN 2590-1230
Contributo su Rivista - Shah, SYED TAIMOOR HUSSAIN; Shah, SYED ADIL HUSSAIN; Panagiotopoulos, Konstantinos; ... (2025)
Artificial intelligence coupled with the Internet of Things targeting neurodevelopmental challenges in preterm neonates. In: JOURNAL OF MULTISCALE NEUROSCIENCE, vol. 4. ISSN 2653-4983
Contributo su Rivista - Shah, SYED TAIMOOR HUSSAIN (2025)
Multimodal AI Tools for Predicting Neurological and Neurodevelopmental Trajectories. relatore: DERIU, MARCO AGOSTINO; MORBIDUCCI, UMBERTO; , 37. XXXVII Ciclo, P.: 236
Doctoral Thesis - Dr Shahzad Ahmad Qureshi, Prof; Aziz ul Rehman, Dr.; Hussain, Lal; Sadiq, Touseef; Shah, ... (2025)
Breast Cancer Detection using Mammography: Image Processing to Deep Learning. In: IEEE ACCESS, vol. 13, pp. 60776-60801. ISSN 2169-3536
Contributo su Rivista - Shah, SYED ADIL HUSSAIN; Shah, SYED TAIMOOR HUSSAIN; Muiz Fayyaz, Abdul; Baqir Hussain ... (2025)
Improving Biomedical Image Pattern Identification by Deep B4‐GraftingNet: Application to Pneumonia Detection. In: IET IMAGE PROCESSING, vol. 19, pp. 1-18. ISSN 1751-9659
Contributo su Rivista - Pigueiras-del-Real, J.; Ruiz-Zafra, A.; Benavente-Fernandez, I.; Lubian-Lopez, S. P.; ... (2024)
NeoVault: empowering neonatal research through a neonate data hub. In: BMC PEDIATRICS, vol. 24. ISSN 1471-2431
Contributo su Rivista - Shah, SYED ADIL HUSSAIN; Shah, SYED TAIMOOR HUSSAIN; Khaled, Roa’A; Buccoliero, Andrea; ... (2024)
Explainable AI-Based Skin Cancer Detection Using CNN, Particle Swarm Optimization and Machine Learning. In: JOURNAL OF IMAGING, vol. 10. ISSN 2313-433X
Contributo su Rivista - 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 - Gentile, Fr; Shah, Sth; Sperti, M; Panagiotopoulos, K; Primi, R; Bendotti, S; Currao, A; ... (2023)
An innovative MedIcaL dEcision Support tool for neurological ouTcome predictiOn from post-resuscitatioN Electrocardiograms (MILESTONE). In: EUROPEAN HEART JOURNAL, vol. 44. ISSN 1522-9645
Contributo su Rivista - Shah, Syed Taimoor Hussain; Calati, Veronika; Bizzarri, Alessandra; Deriu, Marco Agostino (2022)
Medical imaging and artificial intelligence to investigate neuro-cardiac pathologies and discover hidden relationships – a state of the art review. In: Neurodevelopmental Impairments in Preterm Children - Computational Advancements (DETERMINED 2022), Ljubljana, Slovenia, August 26, 2022
Contributo in Atti di Convegno (Proceeding) - Shah, SYED TAIMOOR HUSSAIN; Ahmad Qureshi, Shahzad; ul Rehman, Aziz; Shah, SYED ADIL ... (2021)
Classification and Segmentation Models for Hyperspectral Imaging - An Overview. In: Intelligent Technologies and Applications: Third International Conference, INTAP 2020, Grimstad, Norway, September 28–30, 2020
Contributo in Atti di Convegno (Proceeding) - Shah, S. T. H.; Qureshi, S. A.; Rehman, A. U.; Shah, S. A. H.; Amjad, A.; Mir, A. A.; ... (2021)
A novel hybrid learning system using modified breaking ties algorithm and multinomial logistic regression for classification and segmentation of hyperspectral images. In: APPLIED SCIENCES, vol. 11. ISSN 2076-3417
Contributo su Rivista