Biography

Dr. Inam Ullah

Department of Computer Engineering

Gachon University, South Korea

Assistant Professor


Email: inam.fragrance@gmail.com; inam@gachon.ac.kr


Qualifications

2021 Ph.D., Hohai University (HHU), China

2018 M.Sc., Hohai University (HHU), China

2016 B.Sc., University of Science & Technology Bannu (USTB), Pakistan


Publications (Selected)

  1. Memon, S. A., Ullah, I., Abro, G. E. M., Ullah, I., & Noor, A. (2025). Advanced data association technique using integrated track splitting filter for multi-target tracking in clutter and occlusion. Expert Systems with Applications, 277, 127193.
  2. Rahman, A. U., Ali, S., Saqia, B., Halim, Z., Al-Khasawneh, M. A., AlHammadi, D. A., ... & Alharbi, M. (2025). Alzheimer's disease prediction using 3D-CNNs: Intelligent processing of neuroimaging data. SLAS technology, 32, 100265.
  3. Monirul, I. M., Qiu, L., Ruby, R., Ullah, I., & Sharafian, A. (2025). Accurate SOC estimation in power lithium-ion batteries using adaptive extended Kalman filter with a high-order electrical equivalent circuit model. Measurement, 249, 117081.
  4. Butt, A. U. R., Saba, T., Khan, I., Mahmood, T., Khan, A. R., Singh, S. K., ... & Ullah, I. (2025). Proactive and data-centric Internet of Things-based fog computing architecture for effective policing in smart cities. Computers and Electrical Engineering, 123, 110030.
  5. Arshad, T., Zhang, J., & Ullah, I. (2024). A hybrid convolution transformer for hyperspectral image classification. European Journal of Remote Sensing, 57(1), 2330979.
  6. Bilal, H., Tian, Y., Ali, A., Muhammad, Y., Yahya, A., Izneid, B. A., & Ullah, I. (2024). An Intelligent Approach for Early and Accurate Predication of Cardiac Disease Using Hybrid Artificial Intelligence Techniques. Bioengineering, 11(12), 1290.
  7. Ullah, I., Ali, F., Khan, H., Khan, F., & Bai, X. (2024). Ubiquitous computation in internet of vehicles for human-centric transport systems. Computers in Human Behavior, 161, 108394.
  8. Ahmed, M. J., Afridi, U., Shah, H. A., Khan, H., Bhatt, M. W., Alwabli, A., & Ullah, I. (2024). CardioGuard: AI-driven ECG authentication hybrid neural network for predictive health monitoring in telehealth systems. SLAS technology, 29(5), 100193.
  9. Ullah, I., Adhikari, D., Khan, H., Anwar, M. S., Ahmad, S., & Bai, X. (2024). Mobile robot localization: Current challenges and future prospective. Computer Science Review, 53, 100651.
  10. Rasheed, Z., Ma, Y. K., Ullah, I., Tao, Y., Khan, I., Khan, H., & Shafiq, M. (2024). Edge computing in the digital era: The nexus of 5G, IoT and a seamless digital future. In Future communication systems using artificial intelligence, internet of things and data science (pp. 213-234). CRC Press.
  11. Ahmad, I., Yao, C., Li, L., Chen, Y., Liu, Z., Ullah, I., ... & Chen, S. (2024). An efficient feature selection and explainable classification method for EEG-based epileptic seizure detection. Journal of Information Security and Applications, 80, 103654.
  12. Ullah, I., Noor, A., Nazir, S., Ali, F., Ghadi, Y. Y., & Aslam, N. (2024). Protecting IoT devices from security attacks using effective decision-making strategy of appropriate features. The Journal of Supercomputing, 80(5), 5870-5899.
  13. Rasheed, Z., Ma, Y. K., Ullah, I., Ghadi, Y. Y., Khan, M. Z., Khan, M. A., ... & Shehata, A. M. (2023). Brain tumor classification from MRI using image enhancement and convolutional neural network techniques. Brain Sciences, 13(9), 1320.
  14. Arshad, T., Zhang, J., Ullah, I., Ghadi, Y. Y., Alfarraj, O., & Gafar, A. (2023). Multiscale feature-learning with a unified model for hyperspectral image classification. Sensors, 23(17), 7628.
  15. Khan, H. U., Hussain, A., Nazir, S., Ali, F., Khan, M. Z., & Ullah, I. (2023). A service-efficient proxy mobile IPv6 extension for IoT domain. Information, 14(8), 459.
  16. Khan, H. U., Sohail, M., Ali, F., Nazir, S., Ghadi, Y. Y., & Ullah, I. (2023). Prioritizing the multi-criterial features based on comparative approaches for enhancing security of IoT devices. Physical Communication, 59, 102084.
  17. Hussain, A., Hussain, T., Ullah, I., Muminov, B., Khan, M. Z., Alfarraj, O., & Gafar, A. (2023). CR-NBEER: cooperative-relay neighboring-based energy efficient routing protocol for marine underwater sensor networks. Journal of Marine Science and Engineering, 11(7), 1474.
  18. Shah, A., Ali, B., Wahab, F., Ullah, I., Amesho, K. T., & Shafiq, M. (2023). Entropy-based grid approach for handling outliers: a case study to environmental monitoring data. Environmental science and pollution research, 30(60), 125138-125157.
  19. Mazhar, T., Irfan, H. M., Khan, S., Haq, I., Ullah, I., Iqbal, M., & Hamam, H. (2023). Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods. Future Internet, 15(2), 83.
  20. Mazhar, T., Irfan, H. M., Haq, I., Ullah, I., Ashraf, M., Shloul, T. A., ... & Elkamchouchi, D. H. (2023). Analysis of challenges and solutions of IoT in smart grids using AI and machine learning techniques: A review. Electronics, 12(1), 242.


Profile Details

WoS Researcher ID: Z-3617-2019

https://orcid.org/0000-0002-5879-569X

https://www.linkedin.com/in/dr-inam-ullah-767695143/

https://scholar.google.com/citations?user=HgzcLyUAAAAJ&hl=en

https://www.researchgate.net/profile/Inam-Ullah-20

https://sciprofiles.com/profile/InamUllah

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