Muhammad Ahmed

Muhammad Ahmed is an Adjunct Professor at The George Washington University, where he teaches graduate courses in Applied Machine Learning, Deep Learning, and Natural Language Processing. He holds a Doctor of Engineering (D.Eng.) in Artificial Intelligence and Machine Learning from GW. His research focuses on unsupervised ensemble learning and anomaly detection using deep learning, transformer-based time-series models, and classical machine learning techniques. He brings more than two decades of industry experience in enterprise software development and applied technology and has designed and delivered technical training in both academic and professional settings. His interests include responsible applications of AI, AI-assisted learning, and preserving human judgment and perspective as generative AI becomes increasingly integrated into education and professional practice.