Syed Ahmed Hassan Shah

AI Engineer, Researcher and Expert in Smart Transportation Infrastructure Management

About Me

My name is S Muhammad Ahmed Hassan Shah, and I hold a bachelor's degree in Computer Science from COMSATS University Attock Campus. From September 2022 to August 2023, I served as an Artificial Intelligence Engineer at the Medical Imaging and Diagnosis Lab, National Center of Artificial Intelligence (NCAI) in Islamabad, Pakistan. In this role, I focused on leveraging Artificial Intelligence to diagnose a range of diseases, including various cancers and infections, using medical imaging modalities such as MRI, CT-Scan, X-ray, and Mammograms. Additionally, I worked as an Artificial Intelligence Engineer with Neurocare.ai, based in Texas, USA, in a remote capacity.

Currently, I am Research Assistant at Central South University, China, where my research interests have expanded into the intersection of Artificial Intelligence and Infrastructure Management. I am particularly passionate about exploring innovative solutions and applying advanced technologies to address real-world challenges in transportation and infrastructure systems.

Alongside my academic and professional pursuits, I am a Senior Member of the Transportation and Development institute (ASCE). My research interests span a variety of domains, including Data Science, Machine Learning, Deep Learning, Computer Vision, Generative AI, Point Clouds Intelligence, Foundation Models, Digital Twins, Intelligent Transportation, and Infrastructure Management.

Education

- BSCS: Bachelor's of Science in Computer Science [July 2018-July 2022]

Department of Computer Science, COMSATS University Islamabad, Attock Campus, Punjab, Pakistan

Direction: Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision & NLP

Work Experience

Artificial Intelligence Engineer & Reseach Assistant (September 2022 - August 2023)

National Center of Artificial Intelligence (NCAI), Medical Imaging and Diagnostics Lab (MIDL), Islamabad

Artificial Intelligence Engineer - Remote (May 2024 - August 2024)

Neurocare.ai Company

Research Scholar (Sep 2024 - Present)

Central South University
Center for Railway Infrastructure Smart Monitoring and Management, Changsha, China

Research Interest

Data Science and Machine Learning
Deep Learning
Computer Vision
Natural Language Processing
Point Cloud Intelligence
Explainable AI
Multimodal Learning and Multisource Fusion
Generative AI and Foundation Models
Transportation Infrastructure Management
Intelligent Transportation Systems
Infrastructure Monitoring and Maintenance
Digital Twins Development
Also Interested in Multidisciplinary Research (Medical Imaging Analysis and Healthcare)

Skills

MLOPs
Python Programming
HTML/CSS/JAVA
Web Development
Power BI
Strong Mathematical Skills
Scientific Research

Journal Publications

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. 3.7
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
Nagwan Abdel Samee, Maali Alabdulhafith, S Muhammad Ahmed Hassan Shah* and Atif Rizwan*, "JusticeAI: A Large Language Models Inspired Collaborative & Cross-Domain Multimodal System for Automatic Judicial Rulings in Smart Courts", IEEE Access, 2024, IF: 3.9
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
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
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
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
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
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 (Accepted)
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, Journal of Computing in Civil Engineering, 2024, IF. 6.9 (Accepted)
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 *, 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)

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

1. Point-Cloud-Based Real-Time Railway Fastener Monitoring

2. Explainable AI in Transportation Infrastructure Management Systems

3. Railway Infrastructure Monitoring in Low-Light and Uncertain Environments

4. Defective Synthetic Data Generation for Railway Infrastructure Management

5. Digital Twin Development for Intelligent Railway Fastener Inspections

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)

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