Viet Quoc Pham

Viet Quoc Pham is currently an Assistant Professor in Networks and Distributed Systems. My research interest is based on multidisciplinary approaches of computer science, telecommunications, and engineering mathematics for the practical design of wireless and communication networks. To be more specific, my research is motivated via three phases of modeling the network, analyzing the modeled network, and designing algorithms. The first two phases are based on the use of various mathematical tools such as convex optimization, game theory, and machine learning, whereas the third phase is to design robust, efficient, and scalable algorithms for efficient performance. Based on that vision, I specifically focus on three main thrusts, including Computing (e.g., cloud edge computing, aerial computing, edge of things, and edge AI), Intelligence (e.g., wireless AI, deep learning, deep reinforcement learning, and federated learning), and Networking (e.g., 6G wireless, IoT, intelligent surfaces, metaverse, and blockchain). For more details: https://www.scss.tcd.ie/viet.pham/

Deep Learning for Radio Signal Processing

Viet Quoc Pham (email | all projects)

With the great capability of learning high-level representational features of unstructured data automatically, deep learning is acknowledged as a powerful machine learning algorithm for radio signal processing. For example, convolutional neural networks (CNNs) are leveraged to develop automatic modulation classification frameworks in [1]-[3]. CNN and its combination with Vision Transformers are also used to design … Read more

Wireless Artificial Intelligence | Federated Learning

Viet Quoc Pham (email | all projects)

Federated learning is a paradigm breakthrough shift in AI for data privacy preservation. Unlike conventional artificial intelligence (AI) techniques, federated learning does not require the users to share the data, but only the AI model parameters. As such, federated learning has found notable successes in numerous applications (e.g., Google keyboard, localization, security, and data sharing) … Read more