21

Academic Experinece

3

Industrial Experience

15

Research Experience

Professional Affiliations

Pakistan Engineering Council
IEEE

Featured Journal Publications

Articles
1. Ahmad, B., Noon, S. K., Ahmad, T., Mannan, A., Khan, N. I., Ismail, M., & Awan, T. (2024). Efficient real-time detection of plant leaf diseases using YOLOv8 and Raspberry Pi4. VFAST Transactions on Software Engineering, 12(2), 250–259.
2. Waseem, M., Naeem, A., Aslam, N., Abid, K., Pervez, M. T., Mannan, A., & Soomro, A. M. (2024). Insilico structural and functional analysis of Covid-19 genomic sequences. Journal of Computing and Biomedical Informatics, 6(2), 510–528.
3. Noon, S. K., Amjad, M., Qureshi, M. A., & Mannan, A. (2024). An improved detection method for crop & fruit leaf diseases under real-field conditions. AgriEngineering, 6(1), 344–360. https://doi.org/10.3390/agriengineering6010021
4. Rafiq, M. M., Noon, S. K., Mannan, A., Awan, T., & Nisar, N. (2023). Design and implementation of brain-based home automation system. VFAST Transactions on Software Engineering, 11(3). https://doi.org/10.21015/vtse.v11i3.1577
5. Noon, S. K., Amjad, M., Qureshi, M. A., & Mannan, A. (2023). Handling similar looking disease symptoms in plants using dilation and feature reuse. Journal of Intelligent & Fuzzy Systems, 45(1), 105–120. https://doi.org/10.3233/JIFS-223554
6. Awan, T., Khattak, K. B., & Mannan, A. (2023). A compact CNN model for automated detection of COVID-19 using thorax X-ray images. Journal of Intelligent & Fuzzy Systems, 44(5), 7887–7907. https://doi.org/10.3233/JIFS-223704
7. Noon, S. K., Amjad, M., Qureshi, M. A., & Mannan, A. (2022). Handling severity levels of multiple co-occurring cotton plant diseases using improved YOLOX model. IEEE Access, 10, 134811–134825.
8. Ahmed, R., Mannan, A., & Aslam, N. (2022). Prediction of product rating based on polarized reviews using supervised machine learning. VFAST Transactions on Software Engineering, 10(4).
9. Mannan, A., Javed, K., Rehman, A. U., Babri, H. A., & Noon, S. K. (2022). Cognition based recognition of partially occluded traffic signs. Scientia Iranica Transactions on Computer Science & Engineering, 29(4).
10. Noon, S. K., Amjad, M., Qureshi, M. A., & Mannan, A. (2022). Handling severity levels of multiple co-occurring cotton plant diseases using improved YOLOX model. IEEE Access, 10, 134811–134825.
11. Ahmed, R., Mannan, A., & Aslam, N. (2022). Prediction of product rating based on polarized reviews using supervised machine learning. VFAST Transactions on Software Engineering, 10(4). https://doi.org/ISSN(e):2309-3978
12. Mannan, A., Javed, K., Rehman, A. U., Babri, H. A., & Noon, S. K. (2022). Cognition based recognition of partially occluded traffic signs. Scientia Iranica Transactions on Computer Science & Engineering, 29(4), 1881–1897. https://doi.org/10.24200/sci.2022.55200.4111
13. Noon, S. K., Amjad, M., Qureshi, M. A., & Mannan, A. (2021). Computationally light deep learning framework to recognize cotton leaf diseases. Journal of Intelligent & Fuzzy Systems, 40(6), 12383–12398. https://doi.org/10.3233/JIFS-210516
14. Noon, S. K., Amjad, M., Qureshi, M. A., & Mannan, A. (2021). Computationally light deep learning framework to recognize cotton leaf diseases. Journal of Intelligent & Fuzzy Systems, 40(6), 12383–12398. https://doi.org/10.3233/JIFS-210516
15. Noon, S. K., Amjad, M., Qureshi, M. A., & Mannan, A. (2020). Use of deep learning techniques for identification of plant leaf stresses: A review. Sustainable Computing: Informatics and Systems, 28, 100443. https://doi.org/10.1016/j.suscom.2020.100443
16. Siddique, R., Raza, S., Mannan, A., & Khalil, L. (2020). A modified NSGA approach for optimal sizing and allocation of distributed resources and battery energy storage system in distribution network. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2020.05.669
17. Mannan, A., Javed, K., Rehman, A. U., Babri, H. A., & Noon, S. K. (2019). Classification of degraded traffic signs using flexible mixture model and transfer learning. IEEE Access, 7, 148800–148813.
18.Mannan, A., Javed, K., Rehman, A.-U., Noon, S. K., & Babri, H. A. (2019). Optimized segmentation and multiscale emphasized feature extraction for traffic sign detection and recognition. Journal of Intelligent & Fuzzy Systems, 36(1), 173–188.
19. Mannan, A., Javed, K., & Noon, S. K. (2017). Maximum relevance maximum anti- redundancy (mRmA) feature selection. Pakistan Journal of Engineering and Applied Sciences, 21.
20. Noon, S. K., Javed, K., Mannan, A., & Babri, H. A. (2017). Recognizing traffic signs using flexible Discrete Cosine Transform (DCT) grid. Scientia Iranica Transactions on Computer Science & Engineering, 24(3), 1384–1394. https://doi.org/10.24200/sci.2017.4121
21. Mannan, A., Babri, H. A., & Saeed, M. (2012). Offline shape recognition using flexible DCT grid. Scientia Iranica Transactions on Computer Science & Engineering, 19(6), 1722–1730.
22. Mannan, A. (2012). Self organizing maps based life enhancement framework for wireless sensor networks. International Arab Journal of e-Technology, 2(4).
23. Mannan, A. (2006). Low cost S-band local oscillator design for satellite/wireless applications. New Horizons, 53(3), 10–13.