Dr. Rehan Akram
Department of Mechanical, Robotics, and Energy Engineering
Dongguk University
Pil-dong, Jung-gu, Seoul, Republic of Korea
Tel: +82-10-2165-0903
E-mail: rehanakram@dgu.ac.kr II rehanakram11@dongguk.edu
ORCiD: Rehan Akram
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Biographical Information
Biographical Information
Rehan Akram is an Assistant Professor in the Department of Mechanical, Robotics, and Energy Engineering at Dongguk University, Seoul, Republic of Korea. He earned his Ph.D. in Electronics and Electrical Engineering, with a major in Multimedia Contents and Signal Processing from Dongguk University in 2026. Prior to that, he received his Bachelor’s degree in Computer Science from University of Sargodha, Sargodha, Pakistan, in 2017 and his Master’s degree in Computer Science from FUUAST University, Islamabad, Pakistan in 2022. His research interests include robotics prognostics and health management (PHM), deep learning, computer vision, semantic segmentation, and image classification.
Work Experience
Work Experience
Sep 2026 - To Date Assistant Professor at Dongguk University, Seoul, Republic of Korea
Sep 2022 - Aug 2026 Research Assistant at Dongguk University, Seoul, Republic of Korea
Mar 2022 - Aug 2022 Lecturer at Rawalpindi Women University, Rawalpindi, Pakistan
Aug 2019 - Mar 2022 Lecturer at Govt. Graduate College Satellite Town, Rawalpindi, Pakistan
Sep 2018 - Jul 2021 Research Assistant at NASIR Labs, FUUAST University, Islamabad, Pakistan
Academic Education
Academic Education
Sep 2022 - Aug 2026 Ph.D. in Electronics and Electrical Engineering, Dongguk University, Seoul, Republic of Korea
Professional Education
Sep 2019 - Aug 2020 Bachelor of Education, Allama Iqbal Open University, Islamabad, Pakistan
Research Papers Presented at National/International Journals
Research Papers Presented at National/International Journals
Muhammad Irfan, Jung Soo Kim, Seong In Jeong, Rehan Akram, Hafiz Ali Hamza Gondal, Muhammad Hamza Tariq, and Kang Ryoung Park, “Unmanned aerial vehicle-based weed segmentation from multispectral imagery in an edge computing environment,” Expert Systems With Applications, Vol. 326, pp. 1-24, 15 September (2026). (IF 7.5, Top 6.1%)
Hafiz Ali Hamza Gondal, Seong In Jeong, Won Ho Jang, Jun Seo Kim, Rehan Akram, Muhammad Irfan, Muhammad Hamza Tariq, and Kang Ryoung Park. ”Artificial Intelligence-Based Plant Disease Classification in Low-Light Environments.” Fractal and Fractional, Volume 9, Issue 11 (2025). (IF 3.6, Top 11.5%)
Nadeem Ullah, Haseeb Sultan, Jin Seong Hong, Seung Gu Kim, Rehan Akram, and Kang Ryoung Park. ”Convolutional self-attention with adaptive channel-attention network for obstructive sleep apnea detection using limited training data.” Engineering Applications of Artificial Intelligence, Volume 156 (2025). (IF 7.5, Top 2.5%)
Rehan Akram, Jung Soo Kim, Min Su Jeong, Hafiz Ali Hamza Gondal, Muhammad Hamza Tariq, Muhammad Irfan, and Kang Ryoung Park. ”Attention-Driven and Hierarchical Feature Fusion Network for Crop and Weed Segmentation with Fractal Dimension Estimation.” Fractal and Fractional, Volume 9, Issue 9 (2025). (IF 3.6, Top 11.5%)
Muhammad Hamza Tariq, Haseeb Sultan, Rehan Akram, Seung Gu Kim, Jung Soo Kim, Muhammad Usman, Hafiz Ali Hamza Gondal, Juwon Seo, Yong Ho Lee, and Kang Ryoung Park. ”Estimation of Fractal Dimensions and Classification of Plant Disease with Complex Backgrounds.” Fractal and Fractional, Volume 9, Issue 5 (2025). (IF 3.6, Top 11.5%)
Muhammad Usman, Haseeb Sultan, Jin Seong Hong, Seung Gu Kim, Rehan Akram, Hafiz Ali Hamza Gondal, Muhammad Hamza Tariq, and Kang Ryoung Park. ”Dilated multilevel fused network for virus classification using transmission electron microscopy images.” Engineering Applications of Artificial Intelligence, Volume 138 (2024). (IF 8.0, Top 5%)
Rehan Akram, Jin Seong Hong, Seung Gu Kim, Haseeb Sultan, Muhammad Usman, Hafiz Ali Hamza Gondal, Muhammad Hamza Tariq, Nadeem Ullah, and Kang Ryoung Park. ”Crop and Weed Segmentation and Fractal Dimension Estimation Using Small Training Data in Heterogeneous Data Environment.” Fractal and Fractional, Volume 8, Issue 5 (2024). (IF 5.4, Top 7.9%)
Abdul Wahid, Tahir Mahmood, Jin Seong Hong, Seung Gu Kim, Nadeem Ullah, Rehan Akram, and Kang Ryoung Park. ”Multi-path residual attention network for cancer diagnosis robust to a small number of training data of microscopic hyperspectral pathological images.” Engineering Applications of Artificial Intelligence, volume 133 (2024). (IF 8.0, Top 5%)
Haseeb Sultan, Muhammad Owais, Se Hyun Nam, Adnan Haider, Rehan Akram, Muhammad Usman, and Kang Ryoung Park. ”MDFU-Net: Multiscale dilated features up-sampling network for accurate segmentation of tumor from heterogeneous brain data.” Journal of King Saud University-Computer and Information Sciences, Volume 35, Issue 5 (2023). (IF 7.5, Top 7.01%)
Rehan Akram, Nasir Ayub, Imran Khan, Fahad R. Albogamy, Gul Rukh, Sheraz Khan, Muhammad Shiraz, and Kashif Rizwan. ”Towards Big Data Electricity Theft Detection Based on Improved RUSBoost Classifiers in Smart Grid.” Energies, Volume 14, Issue 23 (2021). (IF 3.004)
Research Papers Presented at National/International Conferences
Research Papers Presented at National/International Conferences
Hafiz Ali Hamza Gondal, Rehan Akram, and Quratulain Zahid. “ KD-PointNest4: A Knowledge Distillation Framework for Tomato Disease Classification Using Real and Synthetic Images Generated by DALL-E 3.” 22nd International Conference on Frontiers of Information Technology (FIT’25), December15-16, COMSATS University, Islamabad, Pakistan (2025).
Research Interests
Research Interests
Robotics Prognostics and Health Management (PHM)
Artificial Intelligence
Deep Learning
Computer Vision
Professional Awards
Professional Awards
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