Dr. Ashfaq Ahmed earned his M.S. and Ph.D. degrees from the Department of Electronics and Telecommunications at Politecnico di Torino, Italy, in 2010 and 2014, respectively. He is presently associated with the Center for Cyber-Physical Systems within the Department of Computer and Information Engineering at Khalifa University (KU) in Abu Dhabi, UAE. From March 2014 to March 2021, he served as an Assistant Professor at the Department of Electrical & Computer Engineering at COMSATS University Islamabad, Wah campus, Pakistan.
His research interests span hardware security, computational intelligence, evolutionary algorithms, convex optimization, and applied optimization for 5G and beyond 5G applications, among others. He is adept at simulating and modeling optimization problems, utilizing various optimization toolboxes like MATLAB's optimization toolbox and the OPTI toolbox. He has formulated heuristics and applied meta-heuristics to diverse optimization challenges. Recently, his focus has shifted to hardware security and reliable data transmission over wireless channels.
Remote Identification based Unmanned Traffic Management System:
An advanced system, combining UAV remote identification (RID) and mobile crowd-sensing (MCS), as traditional methods are unsuitable for large-scale use and deployment. This system quickly identifies UAVs using RID data and integrates ground observer reports for improved monitoring. Advanced machine learning provides real-time RID and image analysis, adapting to different airspace conditions and crowd densities.
