COIN - COmputing, Intelligence, and Networking Laboratory

Welcome to COIN-Lab, School of Computer Science and Statistics, Trinity College, the University of Dublin. Various positions are available to join COIN-Lab@TCD. Please check, contact, and join us.

Research Interests (COIN)

  • COmputing: cloud edge computing, aerial computing, edge of things, and edge AI.

  • Intelligence: wireless AI, deep learning, deep reinforcement learning, and federated learning.

  • Networking: 6G wireless, IoT, intelligent surfaces, metaverse, and blockchain.

News

  • [02/2024] Congratulations! Tuan and his FSGWL team was selected as the winner of the 1st @UCC AI Quest.

  • [01/2024] Jiahui Zhao joined COIN-Lab as a visiting PhD student.

  • [12/2023] Congratulations! Mai Le successfully passed her PhD viva for the thesis titled “Resource Allocation Optimization in Intelligent Wireless Networks”.

  • [12/2023] Congratulations! Thanh Thien Dao successfully passed his PhD viva for the thesis titled “Deep Learning-based Automatic Modulation Classification”.

  • [11/2023] Congratulations! Dr. Viet Pham was selected as the winner of the IEEE ComSoc Best Young Researcher Award for EMEA 2023.

  • [10/2023] Mengyan Huang joined COIN-Lab as a visiting PhD student.

  • [09/2023] Two PhD students, Tuan Tran and Linh Nguyen, joined COIN-Lab. Congratulations and welcome!

  • [05/2023] Dr. Viet Pham got the Enterprise Ireland Coordination Support Award.

  • [05/2023] Mai Le joined COIN-Lab as a visiting PhD student. Welcome aboard!

  • [04/2023] Two-fully funded PhD scholarships are available. Please apply and join our COIN research group.

  • [01/2023] Dr. Viet Pham joined SFI CONNECT as an Associate Investigator and SFI AdvanceCRT as a TCD supervisor.

  • [01/2023] Dr. Viet Pham started his position of assistant professor with the School of Computer Science and Statistics, Trinity College Dublin.

About COIN

COIN-ers are pioneers in world-leading research into computing, intelligence, and networking. COIN-Lab is led by Dr. Viet Quoc Pham in the School of Computer Science and Statistics at Trinity College Dublin. Our research is highly interdisciplinary and exploits an arsenal of tools from network optimization, game theory, machine learning, statistics, and economics to design and build future network systems and improve emerging IT/wireless services and applications.