Dr. Safi Ullah is a Lecturer in the Department of Information Technology at the University of Gujrat, Pakistan, specializing in Deep Learning and Artificial Intelligence. He holds a PhD with research focused on Single Image Super-Resolution, where he introduced novel adaptive compensation techniques to address zero-padding limitations in deep residual networks, significantly improving image reconstruction performance.

His research interests span a broad spectrum of modern AI, including Computer Vision, Medical Image Segmentation, Generative Adversarial Networks (GANs), Federated Learning, Explainable Artificial Intelligence (XAI), Fake News Detection, and Intelligent Training Set Selection. His work has been published in reputable international journals, with notable contributions to image super-resolution and deep neural network optimization.

As a keynote speaker, Dr. Safi Ullah will share his expertise on emerging trends in deep learning, highlighting how next-generation AI models are transforming computer vision, trustworthy artificial intelligence, and intelligent decision-making systems. His session will provide attendees with practical insights into cutting-edge AI research and future directions in the field.