JAWAD KHAN

Versatile Software Developer and good researcher equally comfortable creating solutions for on-premise or cloud-based deployments. Exploits Agile development methodologies to rapidly iterate and improve products. Consistent provider of useful and actionable input on all projects.

• Member of IEEE (Ex. Vice President of IEEE FUUAST Islamabad Student Branch)
• Member of National Youth Parliament Pakistan.
• Member of university robotic club.
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• Khan Jawad., Shah Muhammad Adnan, Ma Gang, Comparative Analysis of Classical and Intelligent Control Techniques for the Inverted Pendulum System, Design, Simulation and Performance Evaluation. Under Review in International Journal of Engineering Works.
• · Li, P., Khan Jawad. Feature extraction and analysis of landscape imaging using drones and machine vision. Soft Comput 27, 18529–18547 (2023). https://doi.org/10.1007/s00500-023-09352-w.
• · H. Bilal, B. Yin, Khan jawad, L. Wang, J. Zhang and A. Kumar, "Real-Time Lane Detection and Tracking for Advanced Driver Assistance Systems," 2019 Chinese Control Conference (CCC), Guangzhou, China, 2019, pp. 6772-6777, doi: 10.23919/ChiCC.2019.8866334.
• · K. Ahmad, Jawad Khan and M. S. U. D. Iqbal, "A comparative study of Different Denoising Techniques in Digital Image Processing," 2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO), Manama, Bahrain, 2019, doi: 10.1109/ICMSAO.2019.8880389.
• § Sun, X., Wang, Y. & Khan Jawad. Hybrid LSTM and GAN model for action recognition and prediction of lawn tennis sport activities. Soft Comput 27, 18093–18112 (2023). https://doi.org/10.1007/s00500-023-09215-4.

• Awarded Akhuwat & PBM Scholarship for study in B.S Software System in Federal Urdu University of Arts, Science, and Technology, Islamabad, Pakistan.
• Awarded Laptop from Prime Minister Laptop Scheme Program (Prime Minister Islamic Republic of Pak.)

• Passport Number: FX8672143
• Nationality: Pakistan