Professor Osvaldo Simeone Professor Osvaldo Simeone Academics Supervisors Professor of Information Engineering Chair of the UK and Ireland Chapter of the IEEE Information Theory Society. Research subject areas Engineering Contact details +44 (0)20 7848 1341 osvaldo.simeone@kcl.ac.uk
PREDICTING FLAT-FADING CHANNELS VIA META-LEARNED CLOSED-FORM LINEAR FILTERS AND EQUILIBRIUM PROPAGATION Park, S. & Simeone, O., 27 Apr 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8817-8821 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1109/ICASSP43922.2022.9746361 Bayesian Active Meta-Learning for Black-Box Optimization Nikoloska, I. & Simeone, O., 2022, 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication, SPAWC 2022. Institute of Electrical and Electronics Engineers Inc., (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; vol. 2022-July). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1109/SPAWC51304.2022.9833993 Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo Zhang, Y., Liu, D. & Simeone, O., 2022, 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication, SPAWC 2022. Institute of Electrical and Electronics Engineers Inc., (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; vol. 2022-July). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1109/SPAWC51304.2022.9833991 Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks Nikoloska, I. & Simeone, O., 2022, (Accepted/In press) In: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. p. 1 1 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1109/TWC.2022.3195352 Learning to Broadcast with Layered Division Multiplexing Karasik, R., Simeone, O. & Shamai Shitz, S., 2022, 2022 IEEE International Symposium on Information Theory, ISIT 2022. Institute of Electrical and Electronics Engineers Inc., p. 2696-2701 6 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2022-June). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1109/ISIT50566.2022.9834785 Adaptive Worker Grouping for Communication-Efficient and Straggler-Tolerant Distributed SGD Zhu, F., Zhang, J., Simeone, O. & Wang, X., 2022, 2022 IEEE International Symposium on Information Theory, ISIT 2022. Institute of Electrical and Electronics Engineers Inc., p. 2996-3000 5 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2022-June). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1109/ISIT50566.2022.9834752 Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms Pantazi, A., Rajendran, B., Simeone, O. & Neftci, E., 25 Jul 2022, In: Frontiers in Neuroscience. 16, 974627. Research output: Contribution to journal › Editorial › peer-review. DOIs: https://doi.org/10.3389/fnins.2022.974627 Robust Design of Rate-Splitting Multiple Access With Imperfect CSI for Cell-Free MIMO Systems Yu, D., Park, S. H., Simeone, O. & Shamai Shitz, S., 2022, 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022. Institute of Electrical and Electronics Engineers Inc., p. 604-609 6 p. (2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1109/ICCWorkshops53468.2022.9814531 Forget-SVGD: Particle-Based Bayesian Federated Unlearning Gong, J., Kang, J., Simeone, O. & Kassab, R., 2022, 2022 IEEE Data Science and Learning Workshop, DSLW 2022. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE Data Science and Learning Workshop, DSLW 2022). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1109/DSLW53931.2022.9820602 An Introduction to Quantum Machine Learning for Engineers Simeone, O., 27 Jul 2022, In: Foundations and Trends in Signal Processing. 16, 1-2, p. 1-223 223 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1561/2000000118 View all publications
21 April 2022 Research into smart radio environments wins 'outstanding paper' award Research into 6G recognised