I was born on November 9th, 1995, in Attock, Punjab Province, Pakistan. I received a B.S. in Computer Engineering from COMSATS University Islamabad, Attock Campus, Pakistan, in 2019, and an M.S. in Computer Engineering from King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, in 2023. From 2019 to 2021, I was a Vision Research and Development Engineer at E-Wall, Peshawar, Pakistan. From 2021 to 2025, I was a Research Assistant at the Computer Engineering Department, King Fahd University of Petroleum and Minerals (KFUPM).
Currently, I am pursuing a Ph.D. at Linköping University, Sweden, and working as a Teaching Assistant with the Wallenberg AI, Autonomous Systems and Software Program (WASP). My research interests include computer vision, deep learning, embedded systems, and wireless ad-hoc networks.
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.
Research & Development
Advance Machine Learning
Convolutional Neural Network
Python Programming
NVIDIA Jetson Nano
Verilog Programming
Linux
MATLAB
Raspberry Pi Integration
Latex
Computer Vision
Machine Learning
Deep Learning
Medical Imaging
TinyML
Federated Learning
Distributed Computing
IoT
Wireless Communication
Ad-hoc Networks
Vision-Based UAV Detection under Adverse Weather Conditions
Research Paper Explanation (Face Anomaly Detection)
K-Map and Neural Networks Backpropagation Lecture