Balochistan University of Engineering & Technology, Khuzdar
Email
Balochistan University of Engineering & Technology, Khuzdar
Email

Engr. Dr. Noor Ahmed

noor.ahmed@buetk.edu.pk
+92 (848) 550275
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Engr. Dr. Noor Ahmed

Lecturer
Engr. Dr. Noor Ahmed received his Bachelor of Engineering in Computer System Engineering from Balochistan University of Engineering and Technology (BUET) Khuzdar. He received his Master of Engineering from Xi’an Jiaotong University, China, and completed his PhD in Computer Science and Technology from Shanghai Jiao Tong University, China, a globally recognized institution ranked 36th in the QS World University Rankings.
He has been serving at Balochistan University of Engineering and Technology Khuzdar since July 2010 and is currently serving as Lecturer (BPS-19) and Head of the Department of Software Engineering. His academic and research interests include Artificial Intelligence, Deep Learning, Computer Vision, Medical Image Analysis, and Software Engineering. He is actively involved in teaching, research, student project supervision, and promoting innovation and emerging technologies in academia.

Education

  • PhD (Artificial Intelligence)Shanghai Jiaotong University, China.
  • M.S (Electronics Science and Information Engineering) Xi’an Jiaotong University, China
  • B.E (CSE) Balochistan UET, Khuzdar

Publications

  1. Google Scholar: scholar.google.com/citations?user=6SNzFlQAAAAJ   

    AI for Healthcare and Medical Image Segmentation (Primary Focus):

     

    1. Ahmed, N., Ma, L. (2026). D2N: Enhancing medical image segmentation with dual-path attention and domain adaptation. The Visual Computer, 42(2), 139. DOI: https://doi.org/10.1007/s00371-025-04316-7 Code: https://github.com/nooriahmed/D2N-Dual-Path-Attention Relevance: Domain adaptation — cross-site robustness — Gradient Reversal Mechanism – CDAM

     

    1. Ahmed, N., Tan, X., Ma, L. (2025). D2U-Net: A dual-path hybrid U-Net architecture for precise medical image segmentation. The Visual Computer, 1–21. DOI: https://doi.org/10.1007/s00371-025-04044-y Code: https://github.com/nooriahmed/D2U-Net-Hybrid-U-Net Relevance: Contextual-Spectral Fusion Module — dual encoder-decoder — multi-scale

     

    1. Ahmed, N., Tan, X., Ma, L. (2024). MSPAN: Multi-scale pyramid attention network for efficient skin cancer lesion segmentation. IET Image Processing, 18(7), 1667–1680 DOI: https://doi.org/10.1049/ipr2.12989 Relevance: Multi-scale attention — pyramid pooling — skin lesion — boundary precision

     

    1. Ahmed, N., Tan, X., Ma, L. (2022). LW-CovidNet: Automatic COVID-19 lung infection detection from chest X-ray images. IET Image Processing, 1–13. DOI: https://doi.org/10.1049/ipr2.12637

    Relevance: Lightweight AI — resource-constrained deployment — equitable AI access — edge-attention mechanism

     

    1. Ahmed, Noor, Xin Tan, and Lizhuang Ma. “A new method proposed to Melanoma-skin cancer lesion detection and segmentation based on hybrid convolutional neural network.” Multimedia Tools and Applications 82.8 (2023): 11873-11896. DOI: https://doi.org/10.1007/s11042-022-13618-0

    Relevance: Instance segmentation — occlusion robustness — unseen distribution generalization — clinical artifacts

     

    ALL Publications

    1. Ahmed, N., Ma, L. (2026). D2N: Enhancing medical image segmentation with dual-path attention and domain adaptation. The Visual Computer, 42(2), 139. DOI: https://doi.org/10.1007/s00371-025-04316-7

     

    1. Ahmed, N., Tan, X., Ma, L. (2025). D2U-Net: A dual-path hybrid U-Net architecture for precise medical image segmentation. The Visual Computer, 1–21. DOI: https://doi.org/10.1007/s00371-025-04044-y

     

    1. Ahmed, N., Tan, X., Ma, L. (2024). MSPAN: Multi-scale pyramid attention network for efficient skin cancer lesion segmentation. IET Image Processing, 18(7), 1667–1680 DOI: https://doi.org/10.1049/ipr2.12989

     

    1. Ahmed, N., Tan, X., Ma, L. (2022). A new method proposed to Melanoma-skin cancer lesion detection and segmentation based on hybrid convolutional neural network. Multimedia Tools and Applications, 1–24.

    DOI: https://doi.org/10.1007/s11042-022-13618-0

     

    1. Ahmed, N., Tan, X., Ma, L. (2022). LW-CovidNet: Automatic COVID-19 lung infection detection from chest X-ray images. IET Image Processing, 1–13. DOI: https://doi.org/10.1049/ipr2.12637

     

    1. Ahmed, N., et al. (2023). Image denoising for COVID-19 chest X-ray using multi-scale parallel convolutional neural networks. Multimedia Systems, 29(6), 3877–3890. DOI: https://doi.org/10.1007/s00530-023-01172-0

     

    1. Sarparrah, Ahmed, N., et al. (2024). U-DenseNet: Deep learning model for medical image segmentation. VAWKUM Transactions on Computer Sciences, 12(2), 112–122. DOI: https://doi.org/10.21015/vtcs.v12i2.1922

     

    1. Raziq, Ahmed, N., et al. (2022). Lightweight CNN model for tuberculosis diagnosis. VFAST Transactions on Software Engineering, 10(3), 43–50. DOI: https://doi.org/10.21015/vtse.v10i3.1148

     

    1. Ahmed, N., Khan, S., Nooruddin, M.D. (2022). Diagnosis of malaria and pneumonia using a lightweight convolutional neural network. Journal of Harbin Institute of Technology, 54(10), 77– 87

     

    1. Shaista, Ahmed, N., et al. (2025). Hybrid fuzzy machine learning framework for crime prediction in data-scarce environments. Spectrum of Engineering Sciences, 1237–1255. DOI: https://doi.org/10.5281/zenodo.17189599

     

    1. Asma, N., Ahmed, N. (2025). Decoding mathematical struggles among secondary school girls using AI-based analysis. Spectrum of Engineering Sciences, 1488–1501. DOI: https://zenodo.org/records/17240553

     

    1. Naseema, S-ur-R., Ahmed, N., et al. (2025). FUZZY-RNR: Mamdani decision support system for prisoner assessment and rehabilitation. Policy Research Journal, 3(9). DOI: https://zenodo.org/records/17233627

     

    1. Ahmed, N., et al. (2017). Correlation and squeezing for optical transistor and intensity router applications in diamond NV centers. Optics Letters, 42(9), 1788–1791. DOI: https://doi.org/10.1364/OL.42.001788

     

    1. Zhang, T., Imran, Ahmed, N., et al. (2016). Controlling Rydberg-dressed four-wave mixing via dual electromagnetically induced transparency windows. Journal of the Optical Society of America B, 33(8), 1661 1667. DOI: https://doi.org/10.1364/JOSAB.33.001661

     

    1. Abbas, G., Li, F., Ahmed, N., et al. (2017). Correlation and squeezing for optical transistor applications in Pr³⁺:YSO. Physical Chemistry Chemical Physics, 19(23), 15059–15066. DOI: https://doi.org/10.1039/c7cp01884c 16. Tang, Z., Ahmed, N., et al. (2017). Correlation and squeezing of hybrid signals with or without Autler–Townes splitting. Applied Physics B, 123(6), 186. DOI: https://doi.org/10.1007/s00340-017-6759-y

     

    1. Zhang, Y., Zhaoyang, Ahmed, N., et al. (2017). Fractional Schrödinger equation and light propagation in honeycomb lattices. Annalen der Physik, 529(9), 1700149. DOI: https://doi.org/10.1002/andp.201700149

     

    1. Zhang, Y., Zhaoyang, Ahmed, N., et al. (2016). Diffraction-free beams in fractional Schrödinger equation. Scientific Reports, 6, 23645. DOI: https://doi.org/10.1038/srep23645

     

    1. Uddin, N., Khan, S., Ahmed, N., et al. (2022). Localized electric field enhancement for plasmonic nano-imaging via graphene superlenses. VFAST Transactions on Software Engineering, 10(2), 143 148. DOI: https://doi.org/10.21015/vtse.v10i2.1075

     

    1. Sohrab, Ahmed, N., Uddin, N., Dawood, M., Bizanjo, M. (2022). Antecedents of trust in government social media services using extended TAM. Computer Integrated Manufacturing Systems, 28(10), 353–385.

     

    1. Uddin, N., Dawood, M., Ahmed, N. (2022). Tunable graphene plasmonics for nanopatterning. Journal of Harbin Institute of Technology, 54(10), 222–226.

     

    1. Aziz, B., Uddin, N., Khan, S., Ahmed, N., Haider, G., & Ullah, I. (2026). IMPROVED AUTOMATED DETECTION OF DIABETIC RETINOPATHY ON A PUBLICLY AVAILABLE DATASET THROUGH DIFFERENT MACHINE LEARNING ALGORITHMS. Spectrum of Engineering Sciences, 4(3), 5645 5667. DOI: https://zenodo.org/records/22057011

     

Other Achievements

  • Awarded fully funded scholarship from Xi’an Jiaotong University China, 2015 to pursue Master’s degree in Xi’an Jiaotong University China, 2015.
  • Awarded fully funded scholarship from Shanghai Government Scholarship to pursue PhD degree in Shanghai Jiaotong University China, 2017.
  • Award of Best Academic performance awarded by Shaanxi Government Scholarship Committee in year 2015-2017