Nael Radwan

Professional Profile
• Assistant Professor in Computer Science with 25 years of experience in curriculum development, course delivery, academic advisement, and student mentoring at the undergraduate and postgraduate levels.
• Innovative educator experienced in implementing technology-enhanced teaching, assessment tools, and e-learning platforms to improve student engagement and learning outcomes.
• Student-centered academic professional with extensive expertise in Computer Science, Information Technology, and Computer Networks, recognized for creating effective learning environments through well-prepared lectures, relevant assignments, and fair assessment practices.
• Organized and dependable professional, capable of managing multiple academic responsibilities while maintaining a positive attitude and contributing to institutional goals.
• Committed and engaging lecturer with strong communication skills, approachable demeanor, and a proven ability to support both students and colleagues in academic settings.

Scientific Research & Scholarly Contributions
• Doctoral Researcher in IoT and Network Protocol Security, specializing in adaptive flow-control mechanisms for backpressure management in authenticated and wildcard-intensive MQTT-based IoT systems, with a strong focus on performance, scalability, and security trade-offs.
• Experienced in experimental research design and performance evaluation, including latency analysis, throughput measurement, message loss, broker resource utilization, and security enforcement accuracy under high-load IoT scenarios.
• Contributor to advanced MQTT protocol research, integrating flow control, authentication/authorization, and wildcard subscription management to address real-world scalability and cybersecurity challenges in large-scale IoT deployments.

Academic Summary
Assistant Professor in Computer Science with over 25 years of experience in higher education, specializing in curriculum design, outcomes-based instruction, academic assessment, and student advisement in alignment with ABET and international accreditation standards. Demonstrated expertise in Computer Science, Information Technology, Computer Networks, and IoT systems, with a strong record of delivering technology-enhanced, student-centered learning environments and effective classroom management. Holder of a PhD focused on adaptive flow-control and backpressure management in secure, wildcard-intensive MQTT-based IoT systems, with research strengths in network protocol optimization, authentication and authorization, performance evaluation, and large-scale IoT scalability. Proven ability to integrate scientific research into teaching, contribute to continuous program improvement, and support institutional goals through quality assurance, assessment, and academic service, positioning for appointment at the Assistant Professor level.