Research Scholar at Central South University, Pakistan
Syed Muhammad Ahmed Hassan Shah is a multidisciplinary AI engineer and researcher specializing in 3D computer vision, digital twins, and AI applications in both civil infrastructure and healthcare. He holds a BS in Computer Science from COMSATS University Islamabad and is currently pursuing an MPhil in Civil Engineering at Central South University, China. His experience includes roles as an AI engineer in railway infrastructure monitoring and medical imaging diagnostics, with a focus on smart transportation systems, predictive maintenance, and deep learning. He is a senior member of the American Society of Civil Engineers (ASCE) and has led and participated in multiple AI-focused workshops and summits.
Publication Profileย
Google Scholar
Educational Background ๐
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Master of Philosophy (MPhil), Civil Engineering โ Smart Infrastructure Management
Central South University (CSU), Changsha, China
Duration: Sep 2024 โ Present
Focus Areas: AI in Transportation, Infrastructure Monitoring, Digital Twins
CSU Website
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Bachelor of Science (BSCS), Computer Science
COMSATS University Islamabad (Attock Campus), Pakistan
Duration: Jul 2018 โ Jul 2022
COMSATS Website
Professional Experience ๐ผ
AI Engineer (Research Assistant)
Center for Railway Infrastructure Smart Monitoring and Management, CSU
Duration: Sep 2024 โ Present | Location: Changsha, China
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Application of AI, IoT, and 3D computer vision to monitor high-speed rail infrastructure (tracks, tunnels, fasteners).
AI Engineer (Developer)
NeuroCare.AI
Duration: Jun 2024 โ Sep 2024 | Location: Remote (USA-based)
Computer Vision Expert (Research Assistant)
NCAI-MIDL Lab, COMSATS University Islamabad
Duration: Oct 2022 โ Jul 2023 | Location: Islamabad, Pakistan
Research Interests ๐ฌ
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Artificial Intelligence & Deep Learning
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3D Computer Vision & Point Cloud Processing
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Digital Twins & Predictive Maintenance for Infrastructure
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Multimodal Learning and Fusion
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Natural Language Processing (NLP) & Generative AI
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Medical Imaging Diagnostics & Explainable AI
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Smart Transportation Systems & Structural Health Monitoring
Awards and Honors๐โจ
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๐ Senior Member, American Society of Civil Engineers (ASCE)
Awarded: Oct 2024
Also affiliated with Transportation and Development Institute (T&DI) of ASCE
View Certificate Folder
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๐ง Trainer โ Mastering AI in 5 Days Workshop
Conducted: Feb 2023, COMSATS Islamabad (HEC & MIDL-supported)
Hands-on workshop training on real-world AI applications.
Workshop Certificate
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๐งฌ AI Healthcare Summit โ FAST NUCES Islamabad
Participated: Jan 2023
Collaborated with SLOSH AI-SOLUTIONS and MIDL Lab.
Summit Certificate
Conclusion๐
Ahmed Hassan is a multidisciplinary AI engineer and researcher actively engaged in bridging the domains of civil infrastructure and intelligent computing. With strong foundations in computer science and advanced research in civil engineering, he continues to push the boundaries of how AI, 3D vision, and digital twins can solve real-world problems. His contributions span both transportation infrastructure and healthcare diagnostics, making him a versatile innovator dedicated to smart, sustainable, and tech-driven development.
Publications ๐
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๐ง Classifying and localizing abnormalities in brain MRI using channel attention based semi-Bayesian ensemble voting mechanism and convolutional auto-encoder
โ๏ธ SMAH Shah, A Ullah, J Iqbal, S Bourouis, SS Ullah, S Hussain, MQ Khan, …
๐ IEEE Access, Vol. 11, pp. 75528โ75545, 2023.
๐ Cited by: 23
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๐ฃ๏ธ Arabic sentiment analysis and sarcasm detection using probabilistic projections-based variational switch transformer
โ๏ธ SMAH Shah, SFH Shah, A Ullah, A Rizwan, G Atteia, M Alabdulhafith
๐ IEEE Access, Vol. 11, pp. 67865โ67881, 2023.
๐ Cited by: 22
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๐ฉบ CADFU for dermatologists: A novel chronic wounds & ulcers diagnosis system with DHuNeT (Dual-Phase Hyperactive UNet) and YOLOv8 algorithm
โ๏ธ SMAH Shah, A Rizwan, G Atteia, M Alabdulhafith
๐ Healthcare, Vol. 11(21), Art. 2840, 2023.
๐ Cited by: 11
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๐ง Computer-aided diagnosis of Alzheimerโs disease and neurocognitive disorders with multimodal Bi-Vision Transformer (BiViT)
โ๏ธ SMAH Shah, MQ Khan, A Rizwan, SU Jan, NA Samee, MM Jamjoom
๐ Pattern Analysis and Applications, Vol. 27(3), Art. 76, 2024.
๐ Cited by: 10
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๐งฑ Multimodal Fusion Network for Crack Segmentation with Modified U-Net and Transfer LearningโBased MobileNetV2
โ๏ธ S Qiu, Q Zaheer, H Ehsan, SMAH Shah, C Ai, J Wang, AA Zheng
๐ Journal of Infrastructure Systems, Vol. 30(4), Art. 04024029, 2024.
๐ Cited by: 4
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๐ฌ A Hybrid Neuro-Fuzzy Approach for Heterogeneous Patch Encoding in ViTs Using Contrastive Embeddings and Deep Knowledge Dispersion
โ๏ธ SMAH Shah, MQ Khan, YY Ghadi, SU Jan, O Mzoughi, M Hamdi
๐ IEEE Access, Vol. 11, pp. 83171โ83186, 2023.
๐ Cited by: 3
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โ๏ธ JusticeAI: A Large Language Models Inspired Collaborative & Cross-Domain Multimodal System for Automatic Judicial Rulings in Smart Courts
โ๏ธ NA Samee, M Alabdulhafith, SMAH Shah, A Rizwan
๐ IEEE Access, 2024.
๐ Cited by: 2
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๐ A transparent captchas verification system for cloud-based smart and secure applications
โ๏ธ SFH Shah, SMAH Shah, SS Ullah, N Yingta
๐ IEEE ISC2 Conference, 2023, pp. 1โ5.
๐ Cited by: 2
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๐ฆ Traffic Forecasting & Route Optimization in Smart Environment Using Graph Representation Learning
โ๏ธ SMAH Shah, SFH Shah, S Hussain, KS Turrakheil
๐ IEEE ISC2 Conference, 2023, pp. 1โ5.
๐ Cited by: 2
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๐งฑ Intelligent Multitasking Framework for Boundary-Preserving Semantic Segmentation, Width Estimation, and Propagation Modeling of Concrete Cracks
โ๏ธ Q Zaheer, S Qiu, SMAH Shah, C Ai, J Wang
๐ Journal of Infrastructure Systems, Vol. 31(3), Art. 04025009, 2025.