Syed M Ahmed Hassan Shah
Artificial Intelligence Engineer & Researcher
About Me
My name is Ahmed Hassan, and I was born in District Attock, Punjab, Pakistan. I pursued my Bachelor's degree in Computer Science from COMSATS University Attock campus. Currently, I am working as a Research Assistant (Artificial Intelligence Engineer) at the Medical Imaging and Diagnosis Lab, National Center of Artificial Intelligence (NCAI) in Pakistan. Collaborating with medical laboratories and hospitals, our MIDL team is dedicated to the development of software products for deployment in healthcare settings, with the aim of enabling accurate and efficient diagnosis. Our primary focus involves harnessing Artificial Intelligence to diagnose various diseases, including various cancers and infections, through modalities such as MRI, CT-Scan, X-ray and Mammograms.
I am passionate about exploring innovative solutions and applying cutting-edge technologies to solve real-world challenges. My research interests revolve around various domains including Machine Learning, Deep Learning, Computer Vision, DigitalTwins and Healthcare domain. My work has been featured in esteemed publishers of high repute, encompassing reputable names such as Elsevier, IEEE, and Springers. I thrive in a dynamic research environment and constantly seek opportunities to expand my knowledge and skills.
Education and Work Experience
BSCS: Bachelor's of Computer Science (July 2018-July 2022)
COMSATS University Islamabad, Attock Campus, Attock, Punjab, Pakistan
Reseach Assistant (Artificial Intelligence Engineer) (September 2022 - July 2023)
National Center of Artificial Intelligence (NCAI), Medical Imaging and Diagnostics Lab, Pakistan
Research Interest
Classical & Quantum Machine Learning
Deep Learning (Computer Vision and LLMs)
Explainable AI and Multimedia Intelligence
Graph Neural Networks
Medical Imaging & Healthcare
Bayesian Learning & Generative Adversarial Networks (GANs)
Digital Twins and Infrastructure Maintenance
Applied Mathematics, Quantum Information Sciences and Analytic Number Theory
Skills
Python Programming
Web Development (Intermediate)
Power BI (Intermediate)
Strong Mathematical Skills
Scientific Research
And Many More ....
Journal Publications
S Muhammad Ahmed Hassan Shah, Syed Faizan Hussain Shah, Asad Ullah, Atif Rizwan, Ghada Atteia and Maali Alabdulhafith, "Arabic Sentiment Analysis and Sarcasm Detection using Probabilistic Projections Based Variational Switch Transformer", IEEE Access, 2023, IF. 3.9 (Arabic Sentiment Analysis and Sarcasm Detection using Probabilistic Projections Based Variational Switch Transformer | IEEE Journals & Magazine | IEEE Xplore)
S Muhammad Ahmed Hassan Shah *, Muhammad Qasim Khan, Yazeed Yasin Ghadi, Sana Ullah Jan, Olfa Mzoughi and Monia Hamdi, "A Hybrid Neuro-Fuzzy Approach for Heterogeneous Patch Encoding in ViTs Using Contrastive Embeddings & Deep Knowledge Dispersion", IEEE Access, 2023, IF. 3.9 (A Hybrid Neuro-Fuzzy Approach for Heterogeneous Patch Encoding in ViTs Using Contrastive Embeddings & Deep Knowledge Dispersion | IEEE Journals & Magazine | IEEE Xplore )
S Muhammad Ahmed Hassan Shah, and Atif Rizwan, Ghada Atteia, Maali Alabdulhafith, "CADFU for Dermatologist: A Novel Chronic Wounds & Ulcer Diagnosis System with DHuNeT (Dual-Phase Hyperactive UNet) and YOLOv8 Algorithm", Healthcare (MDPI), 2023, IF: 2.8 (Healthcare | Free Full-Text | CADFU for Dermatologists: A Novel Chronic Wounds & Ulcers Diagnosis System with DHuNeT (Dual-Phase Hyperactive UNet) and YOLOv8 Algorithm (mdpi.com))
S Muhammad Ahmed Hassan Shah, Asad Ullah, Jawaid Iqbal, Sami Bourouis, Syed Sajid Ullah, Saddam Hussain, Muhammad Qasim Khan, Yaser Ali Shah and Ghulam Mustafa, "Classifying and Localizing Abnormalities in Brain MRI using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism & Convolutional Autoencoder", IEEE Access, 2023, IF. 3.9 (Classifying and Localizing Abnormalities in Brain MRI using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism and Convolutional Auto-Encoder | IEEE Journals & Magazine | IEEE Xplore )
S Muhammad Ahmed Hassan Shah, Muhammad Qasim Khan, Sana Ullah Jan and Sangeen Khan, "RHVGG: An AI-based Responsive and Hierarchical System for Computerized Oral Cancer Diagnosis in IoMT", Smart Health (Elsevier), 2023, IF. 1.9 (UnderReview)
S Muhammad Ahmed Hassan Shah, Muhammad Qasim Khan, Atif Rizwan, Sana Ullah Jan, Nagwan Abdel Samee, Mona M. Jamjoom, "Computer-Aided Diagnosis of Alzheimer's Disease & Neurocognitive Disorders with Multimodal Coupled Bi-Vision Transformer (BiViT)", Pattern Analysis and Applications (Springer), 2023, IF. 3.9 (UnderReview)
S Muhammad Ahmed Hassan Shah *, Atif Rizwan *, Muhammad Sardaraz, Muhammad Tahir, Nagwan Samee, Mona Jamjoom, "Modular QCB-Learner: A Novel Self-Supervised Stochastic Technique for Multi-Domain Contrastive Representation Learning", Information Sciences (Elsevier), 2023, IF. 8.1 (UnderReview)
Nagwan Abdel Samee, Maali Alabdulhafith, S Muhammad Ahmed Hassan Shah* and Atif Rizwan*, "Advancing Legal Decision-Making in Smart Courts: A Large Language Models Inspired Collaborative & Cross-Domain Multimodal System", Artificial Inteligence and Law (Springer), 2023, IF: 4.2 (UnderReview)
Qasim Zaheer, Shi Qiu (Professor), S Muhammad Ahmed Hassan Shah, Chengbo Ai, Jin Wang, "CRAKNET: A Novel Framework for Boundary-Preserving Semantic Segmentation of Cracks Using Multisource Visual Fusion (MVF) and Attention-Based Hierarchical Objective Refinement Method", Journal of Infrastructure Systems, 2023, IF: 3.3 (UnderReview)
Shi Qiu (Professor), Qasim Zaheer, S Muhammad Ahmed Hassan Shah, Chengbo Ai, Jin Wang, You Zhan, Vector-Quantized Variational Teacher & Multimodal Collaborative Student-Based Knowledge Distillation Paradigm for Cracks Segmentation, Engineering Applications of Artificial Intelligence (Elsevier), 2023, IF: 8.0 (UnderReview)
Shi Qiu, Qasim Zaheer, Haleema Ehsan, S Muhammad Ahmed Hassan Shah, Chengbo Ai, Jin Wang, A Multimodal Fusion Network for Crack Segmentation with Modified UNET & Transfer Learning-Based MobileNetV2, Journal of Infrastructure Systems, 2023, IF: 3.3 (UnderReview)
Shi Qiu, Qasim Zaheer, Haleema Ehsan, S Muhammad Ahmed Hassan Shah, Chengbo Ai, Jin Wang, Automatic Semantic Segmentation Network for Concrete Cracks, SAICE journal, 2023 (UnderReview)
Shi Qiu, Qasim Zaheer, S Muhammad Ahmed Hassan Shah, Chengbo Ai, Jin Wang, Multiscale Feature Fusion and Image Segmentation for Concrete Crack Recognition, Journal of Civil Engineering and Management, 2023 (UnderReview)
Shi Qiu, Qasim Zaheer, S Muhammad Ahmed Hassan Shah, Syed Fiazan Hussain Shah, Weidong Wang, Chengbo Ai, Jin Wang, LiDAR-Simulated Contrastive 3D Construction Approach for Probabilistic Point Clouds Modeling of Rail Fasteners, Journal of Computing in Civil Engineering, 2024, IF. 6.9 (UnderReview)
S Muhammad Ahmed Hassan Shah, Asad Ullah, Muhammad Sardaraz, Sana Ullah Jan and Bill Buchanan, Ensuring Compliance with COVID-19 SOPs: A Transfer Learning-Based Intelligent IoT Surveillance System, Journal of Sensors, 2024, IF. 1.9 (UnderReview)
Conference Publications
S Muhammad Ahmed Hassan Shah, Syed Faizan Hussain Shah, Saddam Hussain, "Traffic Forecasting & Route Optimization in Smart Environment Using Graph Representation Learning", 2023 IEEE International Smart Cities Conference (ISC2) (Traffic Forecasting & Route Optimization in Smart Environment Using Graph Representation Learning | IEEE Conference Publication | IEEE Xplore)
Syed Faizan Hussain Shah, S Muhammad Ahmed Hassan Shah, Syed Sajid Ullah, "A Transparent CAPTCHAS Verification System for Cloud-based Smart & Secure Applications", 2023 IEEE International Smart Cities Conference (ISC2) (A Transparent CAPTCHAS Verification System for Cloud-Based Smart and Secure Applications | IEEE Conference Publication | IEEE Xplore)
Currently Working Projects and Research Papers
Research Papers
HisTNeT: An Efficient Multi-Objectives Fusion Inspired Dynamic & Self-Supervised Modular Network for Interpretable Pathology Analysis
AI Healthcare Summit
The event took place at FAST NUCES University, Islamabad, and was organized jointly by the Computational Biology Lab (FAST) and the Medical Imaging and Diagnostics Lab (COMSATS).
AI Workshop Training
In my role as a research assistant at MID Lab, I had the opportunity to lead a 5-Day workshop at COMSATS University Islamabad as a trainer, where I provided instruction on AI and Deep Learning.
AI Workshop
COMSATS University Islamabad
Industrial Event: Breast Cancer Symposium
COMSATS University Islamabad (Oct 2022)