Download a copy of my CV here
Master of Science in Electronics and Information Engineering,
Jeonbuk National University, Jeonju, Republic of Korea
2019-2021
CGPA: 4.00/4.00
Bachelor of Science in Electrical and Electronics Engineering,
Bahria University Islamabad, Pakistan
2014-2018
CGPA: 3.90/4.00, Magna Cum Laude Award
Graduate Student Researcher,
Core Research Institute of Intelligent Robots, Jeonbuk National University, Republic of Korea
I am working on different projects related to medical image processing and smart farming using state-of-the-art computer vision algorithms to solve the problems like classification, object detection, depth estimation, and segmentation for precision agriculture and healthcare. The goal of my research is to design efficient deep learning modules for real-time applications by reducing the parameterized complexity and inference time of the algorithms.
Khan. A,H. Kim and L. Chua. "PMED-Net: Pyramid Based Multi-Scale Encoder-Decoder Network for Medical Image Segmentation." IEEE Access , 2021(9). doi:10.1109/ACCESS.2021.3071754
Ilyas, T.;. Khan. A, ; Umraiz, M.; H. Kim,, (2020). "DAM: Hierarchical Adaptive Feature Selection Using Convolution Encoder Decoder Network for Strawberry Segmentation ." Frontiers in Plant Science, 121(11). doi:10.3389/fpls.2021.591333
Khan. A,Ilyas, T.,Umraiz M., Manan Z., Kim H., "CED-Net: Crops and Weeds Segmentation for Smart Farming Using a Small Cascaded Encoder-Decoder Architecture." MDPI Electronics, , 2020(9). doi:10.3390/electronics9101602
Ilyas, C.M.A., Rehm, M., Nasrollahi, K. et al. Deep transfer learning in human–robot interaction for cognitive and physical rehabilitation purposes. Pattern Anal Applic (2021). https://doi.org/10.1007/s10044-021-00988-8