Dedicated PhD student and lecturer with extensive experience in simulation modeling, data analysis, and academic research, specializing in cybersecurity in vehicle-to-vehicle (V2V) communication and trust mechanisms. Proficient in mathematics and skilled in programming languages including C++, Python, and SUMO, with practical experience using Veins for vehicular network simulations. Adept at developing innovative research methodologies and fostering an engaging learning environment through effective curriculum development and mentorship. Committed to advancing knowledge through rigorous research and effective communication in both academic and professional settings.
Best Paper Award: Vulnerabilities in The Navigation System of Connected
Autonomous Vehicles. International Conference on Vehicular, Mobile and
Wearable Technology (ICVMWT). 15-16 January, 2020.
Artificial Intelligence Analyst - Explorer Award Badge, IBM, 2020