Ian Wassell

简介

Ian Wassell joined the University of Cambridge Computer Laboratory as a Senior Lecturer in January 2006. Prior to this appointment, he was with the University of Cambridge Department of Engineering for approximately six and a half years. He received the PhD degree from the University of Southampton in 1990, where he investigated Viterbi Equalisation for wireless and mobile systems, and the BSc., BEng. Degrees from the University of Loughborough in 1983. He has in excess of 25 years experience in the simulation and design of radio communication systems gained via a number of positions in industry and higher education. He has published more than 200 publications since joining the University of Cambridge in May 1999, and has successfully supervised 29 PhD students and 6 MPhil students. He is

代表成果

• Bakirtzis, S., Yapar, Ç., Fiore, M., Zhang, J. and Wassell, I., 2025. Empowering Wireless Network Applications with Deep Learning-Based Radio Propagation Models IEEE Wireless Communications, v. 32 Doi: 10.1109/MWC.012.2400336
• Bakirtzis, S., Qiu, K., Chen, J., Song, H., Zhang, J. and Wassell, I., 2025. Rigorous Indoor Wireless Communication System Simulations With Deep Learning-Based Radio Propagation Models IEEE Journal on Multiscale and Multiphysics Computational Techniques, v. 10 Doi: http://doi.org/10.1109/JMMCT.2024.3506693
• Bakirtzis, S., Yapar, Ç., Qiu, K., Wassell, I. and Zhang, J., 2025. The First Indoor Pathloss Radio Map Prediction Challenge ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, Doi: 10.1109/ICASSP49660.2025.10889381
• Ferreira, GO., Zanella, AF., Bakirtzis, S., Ravazzi, C., Dabbene, F., Calafiore, GC., Wassell, I., Zhang, J. and Fiore, M., 2024. A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks IEEE Journal on Selected Areas in Communications, Doi: 10.1109/JSAC.2024.3431524
• Qiu, K., Bakirtzis, S., Wassell, I., Song, H., Zhang, J. and Wang, K., 2024. Large Language Model-Based Wireless Network Design IEEE Wireless Communications Letters, v. 13 Doi: http://doi.org/10.1109/LWC.2024.3462556
• Bakirtzis, S., Wassell, I., Fiore, M. and Zhang, J., 2024. AI-Assisted Indoor Wireless Network Planning With Data-Driven Propagation Models IEEE Network, v. 38 Doi: 10.1109/MNET.2024.3397801
• Bakirtzis, S., Fiore, M., Zhang, J. and Wassell, IJ., 2024. Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing. CoRR, v. abs/2405.00814
• Chen, X., Chen, W., Gong, X., Ai, B. and Wassell, I., 2023. Wireless channel estimation for high-speed rail communications: Challenges, solutions and future directions High Speed Railway, v. 1 Doi: 10.1016/j.hspr.2022.11.004
• Bakirtzis, S., Qiu, K., Wassell, IJ., Fiore, M. and Zhang, J., 2022. Deep-Learning-Based Multivariate Time-Series Classification for Indoor/Outdoor Detection. IEEE Internet Things J., v. 9
• Bakirtzis, S., Chen, J., Qiu, K., Zhang, J. and Wassell, I., 2022. EM DeepRay: An Expedient, Generalizable and Realistic Data-Driven Indoor Propagation Model IEEE Transactions on Antennas and Propagation, Doi: 10.1109/tap.2022.3172221