Mohammad Mahmudur Rahman is an academic researcher affiliated with Pacific States University. His research lies at the intersection of Artificial Intelligence, Machine Learning, Software Engineering, Cyber Security, and Robotics. His work heavily focuses on applying advanced deep learning, transformer architectures, and explainable AI (XAI) to solve complex, real-world problems. His notable research contributions span across several domains, including financial analytics and forecasting (such as real-time fraud detection and currency exchange rate prediction), healthcare intelligence (including automated classification systems for diabetic foot ulcers, brain tumors, and kidney disease via advanced medical imaging), and cybersecurity (focusing on hybrid attention-guided malware classification frameworks). Additionally, his academic interests explore human-in-the-loop predictive analytics, multimodal data integration, and the evolving role of generative AI in software development.