S Muhammad Ahmed Hassan Shah | Computer Vision | Best Researcher Award

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Mr. S Muhammad Ahmed Hassan Shah | Computer Vision | Best Researcher Award

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 Profile 

Google Scholar

Educational Background 🎓

  • Master of Philosophy (MPhil), Civil Engineering – Smart Infrastructure Management
    Central South University (CSU), Changsha, China
    Duration: Sep 2024 – Present
    Focus Areas: AI in Transportation, Infrastructure Monitoring, Digital Twins
    CSU Website

  • Bachelor of Science (BSCS), Computer Science
    COMSATS University Islamabad (Attock Campus), Pakistan
    Duration: Jul 2018 – Jul 2022
    COMSATS Website

Professional Experience 💼

AI Engineer (Research Assistant)

Center for Railway Infrastructure Smart Monitoring and Management, CSU
Duration: Sep 2024 – Present | Location: Changsha, China

  • 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 – Sep 2024 | Location: Remote (USA-based)

  • Developed AI solutions for medical imaging, particularly in breast cancer and brain hemorrhage detection.

Computer Vision Expert (Research Assistant)

NCAI-MIDL Lab, COMSATS University Islamabad
Duration: Oct 2022 – Jul 2023 | Location: Islamabad, Pakistan

  • Focused on MRI, CT, X-ray, Ultrasound imaging using deep learning for automated diagnosis tools.

Research Interests 🔬

  • Artificial Intelligence & Deep Learning

  • 3D Computer Vision & Point Cloud Processing

  • Digital Twins & Predictive Maintenance for Infrastructure

  • Multimodal Learning and Fusion

  • Natural Language Processing (NLP) & Generative AI

  • Medical Imaging Diagnostics & Explainable AI

  • Smart Transportation Systems & Structural Health Monitoring

Awards and Honors🏆✨

  • 🏆 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

  • 🧠 Trainer – 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

  • 🧬 AI Healthcare Summit – FAST NUCES Islamabad
    Participated: Jan 2023
    Collaborated with SLOSH AI-SOLUTIONS and MIDL Lab.
    Summit Certificate

Conclusion🌟

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 📚

  1. 🧠 Classifying and localizing abnormalities in brain MRI using channel attention based semi-Bayesian ensemble voting mechanism and convolutional auto-encoder
    ✍️ SMAH Shah, A Ullah, J Iqbal, S Bourouis, SS Ullah, S Hussain, MQ Khan, …
    📘 IEEE Access, Vol. 11, pp. 75528–75545, 2023.
    🔗 Cited by: 23

  2. 🗣️ Arabic sentiment analysis and sarcasm detection using probabilistic projections-based variational switch transformer
    ✍️ SMAH Shah, SFH Shah, A Ullah, A Rizwan, G Atteia, M Alabdulhafith
    📘 IEEE Access, Vol. 11, pp. 67865–67881, 2023.
    🔗 Cited by: 22

  3. 🩺 CADFU for dermatologists: A novel chronic wounds & ulcers diagnosis system with DHuNeT (Dual-Phase Hyperactive UNet) and YOLOv8 algorithm
    ✍️ SMAH Shah, A Rizwan, G Atteia, M Alabdulhafith
    📘 Healthcare, Vol. 11(21), Art. 2840, 2023.
    🔗 Cited by: 11

  4. 🧠 Computer-aided diagnosis of Alzheimer’s disease and neurocognitive disorders with multimodal Bi-Vision Transformer (BiViT)
    ✍️ SMAH Shah, MQ Khan, A Rizwan, SU Jan, NA Samee, MM Jamjoom
    📘 Pattern Analysis and Applications, Vol. 27(3), Art. 76, 2024.
    🔗 Cited by: 10

  5. 🧱 Multimodal Fusion Network for Crack Segmentation with Modified U-Net and Transfer Learning–Based MobileNetV2
    ✍️ S Qiu, Q Zaheer, H Ehsan, SMAH Shah, C Ai, J Wang, AA Zheng
    📘 Journal of Infrastructure Systems, Vol. 30(4), Art. 04024029, 2024.
    🔗 Cited by: 4

  6. 🔬 A Hybrid Neuro-Fuzzy Approach for Heterogeneous Patch Encoding in ViTs Using Contrastive Embeddings and Deep Knowledge Dispersion
    ✍️ SMAH Shah, MQ Khan, YY Ghadi, SU Jan, O Mzoughi, M Hamdi
    📘 IEEE Access, Vol. 11, pp. 83171–83186, 2023.
    🔗 Cited by: 3

  7. ⚖️ JusticeAI: A Large Language Models Inspired Collaborative & Cross-Domain Multimodal System for Automatic Judicial Rulings in Smart Courts
    ✍️ NA Samee, M Alabdulhafith, SMAH Shah, A Rizwan
    📘 IEEE Access, 2024.
    🔗 Cited by: 2

  8. 🔐 A transparent captchas verification system for cloud-based smart and secure applications
    ✍️ SFH Shah, SMAH Shah, SS Ullah, N Yingta
    📘 IEEE ISC2 Conference, 2023, pp. 1–5.
    🔗 Cited by: 2

  9. 🚦 Traffic Forecasting & Route Optimization in Smart Environment Using Graph Representation Learning
    ✍️ SMAH Shah, SFH Shah, S Hussain, KS Turrakheil
    📘 IEEE ISC2 Conference, 2023, pp. 1–5.
    🔗 Cited by: 2

  10. 🧱 Intelligent Multitasking Framework for Boundary-Preserving Semantic Segmentation, Width Estimation, and Propagation Modeling of Concrete Cracks
    ✍️ Q Zaheer, S Qiu, SMAH Shah, C Ai, J Wang
    📘 Journal of Infrastructure Systems, Vol. 31(3), Art. 04025009, 2025.

 

 

 

 

Lin Zhu | Image Technology | Best Researcher Award

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Ms. Lin Zhu | Image Technology | Best Researcher Award

Shanghai Chest Hospital, China

Dr. Lin Zhu is a postdoctoral researcher and attending doctor at the Radiology Department of Shanghai Chest Hospital, Shanghai Jiaotong University. Her research is centered on radiology and oncology, with a particular emphasis on tumorigenicity, advanced imaging technologies, AI-assisted diagnostic imaging, quantitative image analysis, and molecular nanoimaging in the context of tumor microenvironments. She has published 9 first-author SCI papers and has served as principal investigator (PI) on four funded research projects.

Publication Profile 

Orcid

Educational Background 🎓

  • Doctor of Medicine (Diagnostic and Interventional Radiology)
    Heidelberg University Clinic, Heidelberg University, Germany
    Sept. 2018 – Feb. 2022
    Supervisors: Prof. Dr. Mark O. Wielpütz MHBA and Prof. Hans-Ulrich Kauczor

  • Master of Medicine (Medical Imaging and Nuclear Medicine)
    Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China
    Sept. 2013 – June 2016
    Supervisor: Prof. Dr. Hong Yu

  • Bachelor of Medicine (Medical Imaging)
    School of Medicine, Southeast University, China
    Sept. 2007 – June 2012

Professional Experience 💼

  • Postdoctoral Researcher
    Shanghai Chest Hospital, Shanghai Jiaotong University, China
    Feb. 2022 – Present

  • Training Radiologist
    Shanghai Changzheng Hospital, Second Military Medical University, China
    Aug. 2016 – July 2018

  • Training Radiologist
    The Fifth People’s Hospital of Shanghai, Fudan University, China
    July 2012 – July 2013

  • Clinical Practice (Internship)
    Zhongda Hospital, Southeast University, China
    June 2011 – June 2012

Research Interests 🔬

  • Tumorigenicity and tumor microenvironment

  • Advanced and AI-assisted imaging techniques

  • Quantitative imaging analysis

  • Molecular nanoimaging for cancer diagnostics

  • Multimodal radiological imaging for lung cancer and lymphoma

  • Imaging biomarkers in oncology

Awards and Honors🏆✨

While specific named awards are not listed, notable professional achievements include:

  • Published 9 SCI-indexed papers as first author

  • Principal Investigator of 4 research projects

  • Speaker at major international conferences, including:

    • European Congress of Radiology (ECR) 2018 & 2020

    • Chinese Congress of Radiology (CCR) 2016 & 2022

Conclusion🌟

Dr. Lin Zhu exemplifies a dynamic and highly accomplished medical imaging expert with extensive international research and clinical experience. Her multidisciplinary approach, combining diagnostic radiology with molecular imaging and artificial intelligence, positions her as a leading researcher in the field of thoracic oncology imaging. Her work bridges foundational biological research with state-of-the-art diagnostic practices, contributing meaningfully to advancements in precision medicine and personalized cancer care.

Publications 📚

  1. 🐭 µCT in Muco-obstructive Lung Disease
    Zhu L., et al.
    American Journal of Physiology – Lung Cellular and Molecular Physiology, 2022, 322(3):L401–L411.
    🔬 Topic: Neutrophil elastase in mouse lung disease

  2. 🫁 MRI vs. CT for Lung Nodule Detection in COPD
    Li Q, Zhu L, et al.
    Radiology: Cardiothoracic Imaging, 2023, 5(2):e220176.
    🧠 Topic: MRI as a diagnostic tool compared to CT

  3. 🧬 miR-629 & Lung Cancer Tumorigenesis
    Zhu L, et al.
    Cancer Biomarkers, 2020.
    🧪 Topic: PI3K/AKT pathway & FOXO1 targeting

  4. 🦠 Primary Pulmonary Lymphoepithelial Carcinoma
    Nie K, Zhu L, et al.
    Journal of Surgical Oncology, 2023.
    🩺 Topic: Rare lung cancer subtype prognosis

  5. 🧫 RasGRP4 in Lymphoma Growth
    Zhu L, et al.
    Cell Communication and Signaling, 2019, 17(1), 92.
    🔬 Topic: Oncogene role in B-cell lymphoma

  6. 🧬 miR-101 and Pancreatic Cancer Suppression
    Zhu L, et al.
    Cancer Biomarkers, 2018, 23(2):301–309.
    🧠 Topic: STMN1 targeting to suppress proliferation

  7. 🩻 Ultrasound/CT + CA125 for Ovarian Tumors
    Zhu L, et al.
    Minerva Medica, 2018, 109(6):489–491.
    🧪 Topic: Combined diagnostic method

  8. 📊 TIMP-2 Expression in Lung Cancer
    Zhu L, et al.
    PLOS ONE, 2015, 10(4):e0124230.
    🔍 Topic: Meta-analysis on tumor prognosis

  9. 🔬 PET/CT in Small Cell Lung Cancer
    Nie K, Zhu L, et al.
    J Med Imaging Radiat Oncol, 2019, 63(1):84–93

  10. 💉 Serum Angiopoietin-Like Protein 2 as Biomarker
    Chen Y, Zhu L, et al.
    Clin Lab, 2017, 63(1):59–65

  11. 🧠 CT Phenotyping in Pulmonary Lymphoma
    Chen Y, Zhu L, et al.
    J Thorac Dis, 2018, 10(11):6040–6049

  12. 🐭 µCT Monitoring of Neutrophil Elastase Deficiency
    Zhu L, et al.
    ECR 2020 – Book of Abstracts, Insights Imaging, 2020, 11(Suppl 1):34

  13. 🧠 Lung Cancer Imaging & Treatment Methods
    Zhu L, et al.
    Int. J. Med. Radiology, 2018, 41(06):641–645

  14. 🧬 String Beads Sign in Small Cell Lung Cancer
    Xiao YX, Zhu L, et al.
    Journal of Practical Radiology, 2016
    🧠 DOI: 10.3969/j.issn.1002-1671.2016.01.001

  15. 🫁 CT Signs of Peripheral Small Cell Lung Cancer
    Xiao YX, Zhu L, et al.
    Journal of Practical Radiology, 2016
    🩻 DOI: 10.3969/j.issn.1002-1671.2016.01.001