Muhammad Irfan

Muhammad Irfan, PhD, is a Lecturer in Computer Science at Wentworth Institute of Technology in Boston, USA. He holds a PhD in Electrical Engineering and a Master of Philosophy (MPhil) from The City College of New York (CUNY), where his research focused on robust and adaptive deepfake detection using machine learning and multimodal learning techniques. He also holds a Master’s in Information Technology from Swinburne University of Technology, Australia, and a Bachelor of Science in Information Technology from the University of the Punjab, Pakistan.

Dr. Irfan is a researcher and educator with interests in cybersecurity, artificial intelligence, and emerging digital technologies. His work spans AI-driven programmable networking and intelligent edge systems, including programmable data planes, edge AI, and secure machine learning for resource-constrained environments. He has contributed to NSF- and AFOSR-supported projects on deep reinforcement learning for network optimization in P4-based programmable switches, stochastic computing for IoT security, and graph-based models for multimedia forensics. He also explores how technical design choices influence trust in digital information systems, alongside broader interests in AI governance and applied computing.

He is a certified Project Management Professional (PMP), bringing industry-aligned project management practices into both his research and teaching. Passionate about experiential learning, Dr. Irfan designs practical labs, real-world case studies, and industry-aligned coursework to prepare students for careers in computing, cybersecurity, and intelligent systems. He emphasizes hands-on learning that connects theoretical foundations with real-world engineering practice.