Mohammad Emad Mustafa Arafeh

Dr. Mohammad Arafah is an AI researcher and cybersecurity specialist with deep expertise in machine learning, generative modeling, anomaly detection, and computer vision. He holds a Ph.D. in Cybersecurity and Artificial Intelligence from Loughborough University (UK), where his research explored advanced GAN-based architectures for secure and intelligent threat detection.

Dr. Arafah’s work spans academic research and real-world AI applications. He has published in respected international journals and contributed to several book chapters covering AI-driven cyber defense, adversarial threats, and the evolving security landscape shaped by generative models. His research interests include autonomous security systems, AI-generated malicious content, and privacy-preserving verification techniques.

Alongside his research career, Dr. Arafah is an experienced software engineer with a strong background in designing and developing large-scale AI-enabled systems, enterprise applications, and integrated digital platforms. His engineering work emphasizes secure architectures, intelligent automation, high-performance system design, and the integration of modern development practices.

As an Assistant Professor of Information Security at the University of Petra, he teaches courses in AI, machine learning, Python programming, network security, secure software development, and data visualization. He has delivered numerous specialized training programs in AI applications across diverse fields including scientific research, engineering, and digital transformation.

Dr. Arafah’s technical expertise includes Python, TensorFlow, PyTorch, Scikit-Learn, OpenCV, Flask, Django, Docker, and AWS, complemented by a strong foundation in software engineering, DevOps practices, and cybersecurity methodologies. He continues to contribute to advancing the intersection of artificial intelligence and security through research, teaching, and industry collaboration.