Dr. Muhammad Asad Arshed received his Ph.D. in Computer Science from The Islamia University of Bahawalpur, Pakistan. His doctoral research focused on predicting drug side effects using deep learning techniques. He also holds an MS in Computer Science with a specialization in natural language processing (NLP) and machine learning. Dr. Arshed’s research interests include machine learning and deep learning, with applications in medical imaging, computer vision, NLP, and related domains. He has published in reputable journals and conference proceedings. His recent work involves applying large language models (LLMs), diffusion models, and generative AI techniques. He served as a Research Officer at the National Centre of Artificial Intelligence (NCAI) through KICS, University of Engineering and Technology, Lahore, contributing to several projects. He also worked as a Lecturer and currently serves as an Assistant Professor in the School of Systems and Technology at the University of Management and Technology, Lahore, Pakistan. Dr. Arshed has hands-on expertise in deep learning for medicine, AI-driven disease diagnosis using medical images (X-rays, scans, 2D imaging), generative models such as GANs and Stable Diffusion, and transformer-based architectures for real-world problems. He is skilled in fine-tuning pretrained models, including large language models (LLMs) and convolutional neural network (CNN) based models.