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Currently, I am pursuing a Ph.D. at Linköping University, Sweden, funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP), and working as a Teaching Assistant. From 2021 to 2025, I was a Research Assistant at the Computer Engineering Department, King Fahd University of Petroleum and Minerals (KFUPM). From 2019 to 2021, I was a Vision Research and Development Engineer at E-Wall, Peshawar, Pakistan. I received an M.S. in Computer Engineering from King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, in 2024, and a B.S. in Computer Engineering from COMSATS University Islamabad, Attock Campus, Pakistan, in 2019.
My research interests include:
Deepfake Detection
Computer Vision
Adversarial Attacks
Medical Imaging
Deep Learning
Publications
Publications
Adnan Munir, Muhammad Shahid Jabbar , and Shujaat Khan “DAUNet: A Lightweight UNet Variant with Deformable Convolutions and Parameter-Free Attention for Medical Image Segmentation” in IEEE Journal of Biomedical and Health Informatics , April 2026. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/11481615.
Adnan Munir, Shujaat Khan, “Deployable Ultrasound Segmentation via Deformable Attention-Enhanced UNet,” in International Conference on BioInformatics and BioEngineering, Oct 2025. [Online]. Available: https://doi.org/10.1109/BIBE66822.2025.00044.
Adnan Munir, Abdul Jabbar Siddiqui, M. Shamim Hossain, and Aiman El-Maleh, “YOLO-RAW: Advancing UAV Detection with Robustness to Adverse Weather Conditions,” IEEE Transactions on Intelligent Transportation Systems, March 2025 [Q1] ieeexplore.ieee.org/document/10976436
Adnan Munir, Abdul Jabbar Siddiqui, Saeed Anwar, Ayaz H. Khan, and Aqsa Rehman, “Impact of Adverse Weather and Image Distortions on Vision-based UAV Detection: A Performance Evaluation of Deep Learning Models,” Drones, vol. 8, no. 11, Nov. 2024. [Online][Q1]. Available: https://doi.org/10.3390/drones8110638
Adnan Munir, Aoubaida Alsabbagh, and Abdul Jabbar Siddiqui, “DustRobust-YOLO: Enhanced UAV Detection in Dusty Conditions,” in Proc. International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sep. 2024 https://ieeexplore.ieee.org/document/10869593.
Adnan Munir, Abdul Jabbar Siddiqui, and Saeed Anwar, “Investigation of UAV Detection in Images with Complex Backgrounds and Rainy Artifacts,” in Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshop on Real-World Surveillance, Jan. 2024. [Online]. Available: https://ieeexplore.ieee.org/document/10495594.
Baber Jan, Adnan Munir, Ayaz H. Khan, Ajmal Khan, and Basem M. Al-Madani, “R-RDSP: Reliable and Rapidly Deployable Wireless Ad Hoc System for Post-Disaster Management over DDS,” Sensors, vol. 24, no. 22, Nov. 2024 [Q2][Online] . Available: https://doi.org/10.3390/s24227259.
Ajmal Khan, Adnan Munir, Zeeshan Kaleem, Farman Ullah Muhammad, Lewis Nkenyereye, Shahen Shah, Long D. Nguyen, S. M. Riazul Islam, and Kyung-Sup Kwak, “RDSP: Rapidly Deployable Wireless Ad Hoc System for Post-Disaster Management,” Sensors, vol. 20, no. 2, Feb. 2020 [Q2]. [Online]. Available: https://doi.org/10.3390/s20020548.
Rauf Ali Khan, M., Barnawi, A. Y., Munir, A., Alsalman, Z., & Satan Sanunga, D. M. (2025). Lightweight Quantized XGBoost for Botnet Detection in Resource-Constrained IoT Networks. IoT, 6(4), 70. [Online]. Available: https://doi.org/10.3390/iot6040070
Skills
Skills
Research & Development
Advance Machine Learning
Convolutional Neural Network
Python Programming
NVIDIA Jetson Nano
Verilog Programming
Linux
MATLAB
Raspberry Pi Integration
Latex
Research Areas
Research Areas
Computer Vision
Digital Image Forensics
Machine Learning
Deep Learning
Medical Imaging
Federated Learning
Distributed Computing
IoT
Wireless Communication
Ad-hoc Networks
Honours and Awards
Honours and Awards
PhD Scholarship (WASP) Wallenberg Autonomous Systems Program (WASP), Sweden
Winner, 50K Challenge Competition 2024 KFUPM– Recognized for contributing to a winning Renewable Energy project as part of a team.
MS Scholarship under the Deanship of Graduate Studies, King Fahd University of Petroleum and Minerals.
National Research Foundation of Korea funded by the Korean Government (Ministry of Science and ICT) NRF 2020R1A2B5B0200247.
Merit Scholarship in Engineering from Pakistan Ordnance Factories, Pakistan, from 2017 to 2019.
Best Event Management award in 2017 from Cantonment Board Sanjwal.
4 (1).mp410_fps_enhanced.mpgVision-Based UAV Detection under Adverse Weather Conditions
Face_Manipulation_Detection_Styled_Presentation.mp4Research Paper Explanation (Face Anomaly Detection)
Presentation_backpropgation_kmaps.mp4K-Map and Neural Networks Backpropagation Lecture
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