M. Irfan Uddin

Irfan Uddin is currently working as a faculty member at the Institute of Computing, Kohat University of Science and Technology, Kohat, Pakistan. He has received his academic qualifications in computer science and has worked as a researcher on funded projects. He is involved in teaching and research activities related to different diverse computer science topics and has more than eighteen years of teaching plus research experience. He is a member of IEEE, ACM, and HiPEAC. He has actively organized national and international seminars, workshops, and conferences. He has published over a hundred research papers in international journals and conferences. His research interests include machine learning, data science, artificial neural networks, deep learning, convolutional neural networks, recurrent neural networks, attention models, reinforcement learning, generative adversarial networks, computer vision, image processing, machine translation, natural language processing, speech recognition, big data analytics, parallel programming, Multi-core, Many-core and GPUs.

Publications

Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems
Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems
M. Irfan Uddin, Wali Khan Mashwani. © 2024. 291 pages.
The applications of rapidly advancing intelligent systems are so varied that many are still yet to be discovered. There is often a disconnect between experts in computer science...