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.

 

 

 

 

Chitra P | Image Processing | Best Researcher Award

Posted on by sciencefather

Dr. Chitra P | Image Processing | Best Researcher Award

Professor at Sathyabama Institute of Science and Technology, India

Dr. P. Chitra is an accomplished academic and researcher with a Ph.D. in Applied Electronics from Sathyabama University (2014) and a Master’s in Applied Electronics (M.E.) from Coimbatore Institute of Technology (2004). She has been serving as an Assistant Professor in Sathyabama University, Chennai, since 2004. Her research interests span across image processing, signal processing, communication systems, and electronic circuit analysis. She has secured multiple sponsored projects, including collaborations with the Indira Gandhi Centre for Atomic Research and the Department of Biotechnology. Dr. Chitra has contributed significantly to the field with numerous publications in both international journals and conferences, with notable works in deep learning for medical diagnostics, radiographic image processing, and PCOS detection using AI. Apart from her academic duties, she is a life member of the Indian Society for Technical Education (MISTE) and Institution of Engineers (IEI), and actively participates as a reviewer for various journals. Her dedication to advancing technology is reflected in her extensive training, certifications, and contributions to AI and machine learning. 🌐📚🔬

Publication Profile : 

Scopus

Google Scholar

Educational Background 🎓

  • Ph.D. in Electronics and Communication Engineering (2014), Sathyabama University, Chennai
  • M.E. in Applied Electronics (2004), Coimbatore Institute of Technology, Coimbatore (CGPA: 8.16)
  • B.E. in Electronics and Communication Engineering (2002), Nooral Islam College of Engineering, Kumaracoil, Nagercoil (73.55%)
  • H.S.C. (1998), Duthie Girls Higher Secondary School, Nagercoil (85.58%)
  • S.S.L.C. (1996), Duthie Girls Higher Secondary School, Nagercoil (87.00%)

Professional Experience 💼

Dr. P. Chitra has been an Assistant Professor at Sathyabama University since June 2004. With a career spanning over two decades, she has a rich academic experience in teaching and research, specializing in image processing, signal processing, and communication systems. She has been actively involved in various sponsored projects, including collaborations with Indira Gandhi Centre for Atomic Research and the Department of Biotechnology. She has led and contributed to multiple funded projects, including the development of digitization protocols for weld images and the application of AI for detecting PCOS (Polycystic Ovary Syndrome). Her expertise also extends to deep learning and AI-based algorithms in medical imaging and diagnostics.

Research Interests 🔬

Dr. Chitra’s research primarily focuses on image processing, signal processing, communication systems, and electronic circuit analysis. She is particularly passionate about applying AI and deep learning techniques for medical image analysis and diagnostic applications. Her ongoing research explores areas such as PCOS detection, brain tumor detection, and lung cancer classification, leveraging AI for better healthcare solutions.

Certifications & Achievements🎓

Dr. Chitra is a proud recipient of numerous NPTEL certifications, including courses in Deep Learning, Data Science for Engineers, and Introduction to AI. She is also a Life Member of Indian Society for Technical Education (ISTE) and the Institution of Engineers (IEI).

Publications 📚

  • Chitra P., Beryl Vedha Y. Johnson, Retnaraj Samuel S., et al. (2024), “Classification of Microglial Cells using Deep Learning Techniques”, Proceedings – 2nd International Conference on Advancement in Computation and Computer Technologies, InCACCT 2024
  • Sheeba I.R., Jegan G., Jayasudha F.V., Chitra P., et al. (2024), “Brain Tumor Detection- ISM Band SAR Reduction Analysis Using Microstrip Patch Antenna”, Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024
  • Chitra P., Srilatha K., Sumathi M., et al. (2023), “Automated Detection of Polycystic Ovaries using Pretrained Deep Learning Models”, AICERA/ICIS 2023
  • Chitra P., Srilatha K., Jayasudha F.V., et al. (2023), “Lung Cancer Detection Using Classification Algorithm”, RAEEUCCI 2023
  • Amudha S., Shobana J., Satheesh Kumar M., Chitra P. (2022), “Modelling Air Pollution and Traffic Congestion Problem Through Mobile Application”, IconDeepCom 2022
  • Chitra P., Sheela Rani B., Venkataraman B., et al. (2011), “Comparison of Image Enhancement Techniques for Radiographic Weld Images”, Instrumentation Society Of India
  • Chitra P., Sheela Rani B., Venkataraman B., et al. (2011), “Evaluation of Signal To Noise in Different Radiographic Methods and Standard Digitizer”, Indian Journal of Computer Science and Engineering
  • Chitra P., Sheela Rani B., Manoharan N., et al. (2007), “A Comparative Study on the Digitization Parameters of Radiographic Weld Image Digitizers for Weld Defect Detection”, ECHDEM 2007, Chennai
  • Chitra P., Arulmozhi N., Sheela Rani B., et al. (2008), “Evaluation of Radiographic Image Quality through Standard Weld Image Digitizers”, ESSTA 2008
  • Chitra P., Sheela Rani B. (2012), “Study and Analysis on the Effect of Source to Film Distance on the Radiographic Image”, ICCCT 2012
  • Chitra P., Arulmozhi N., et al. (2009), “SNR Based Evaluation of Radiographic Weld Image Using Selenium 75, Ir-192, and X-rays”, National Seminar and Exhibition on NDE
  • Chitra P., Sheela Rani B., et al. (2011), “Extraction of Radiographic Weld Defects Using Pixel Based Segmentation”, NCICM 2011