Mr. Syed Atir Raza Shirazi

Driven cybersecurity and artificial intelligence researcher with over six years of combined academic and industry experience, specializing in federated learning, explainable AI (XAI), cybersecurity, and physics-informed AI. Currently pursuing a PhD at the University of Management and Technology (UMT), with a research focus on developing intelligent, secure, and interpretable AI-driven solutions for complex real-world systems. An active member of the Association for Computing Machinery (ACM) and the World Research Union, demonstrating a strong commitment to global research collaboration and professional excellence. Proven ability to bridge the gap between theoretical research and industry applications by designing scalable and practical AI-based security frameworks. Possesses expertise in machine learning, threat detection, digital forensics, and data-driven modeling, complemented by hands-on experience in deploying real-world solutions. Continuously advancing knowledge to address emerging challenges in cybersecurity and AI, with a particular interest in integrating domain knowledge through physics-informed approaches to enhance model reliability, transparency, and performance contributing toward a safer and more resilient digital ecosystem.