| Heart murmurs clustering using machine learning K Chen, A Mudvari, FGG Barrera, L Cheng, T Ning 2018 14th IEEE International Conference on Signal Processing (ICSP), 94-98, 2018 | 15 | 2018 |
| ML-driven scaling of 5G Cloud-Native RANs A Mudvari, N Makris, L Tassiulas 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 6 | 2021 |
| Brownian motion of radioactive particles: derivation and Monte Carlo test of spatial and temporal distributions MP Silverman, A Mudvari World Journal of Nuclear Science and Technology 8, 86, 2018 | 5 | 2018 |
| Robust sdn synchronization in mobile networks using deep reinforcement and transfer learning A Mudvari, K Poularakis, L Tassiulas ICC 2023-IEEE International Conference on Communications, 1080-1085, 2023 | 3 | 2023 |
| Exploring ML methods for Dynamic Scaling of beyond 5G Cloud-Native RANs A Mudvari, N Makris, L Tassiulas ICC 2022-IEEE International Conference on Communications, 2284-2289, 2022 | 2 | 2022 |
| Magnalium: Highly reliable sdc networks with multiple control plane composition G Li, A Mudvari, K Gokarslan, P Baker, S Kompella, F Le, KM Marcus, ... 2019 IEEE International Conference on Smart Computing (SMARTCOMP), 93-98, 2019 | 2 | 2019 |
| Respiration estimation and apnea detection using fuzzy logic A Mudvari, T Ning 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 2 | 2017 |
| Ultrafast electron microscopy for investigating fundamental physics phenomena P Dahal, A Mudvari, A Basnet, PW Brown, B Barwick Ultrafast Nonlinear Imaging and Spectroscopy IV 9956, 12-18, 2016 | 2 | 2016 |
| Joint SDN Synchronization and Controller Placement in Wireless Networks using Deep Reinforcement Learning A Mudvari, L Tassiulas arXiv preprint arXiv:2311.05582, 2023 | 1 | 2023 |
| Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach P Promponas, A Mudvari, L Della Chiesa, P Polakos, L Samuel, ... arXiv preprint arXiv:2404.17077, 2024 | | 2024 |
| Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach I Panitsas, A Mudvari, A Maatouk, L Tassiulas arXiv preprint arXiv:2404.08113, 2024 | | 2024 |
| Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency A MUDVARI, A VAINIO, I OFEIDIS, S TARKOMA, L TASSIULAS 10.13140/RG.2.2.18547.50727, 2024 | | 2024 |
| Constrained Reinforcement Learning for Adaptive Controller Synchronization in Distributed SDN I Panitsas, A Mudvari, L Tassiulas arXiv preprint arXiv:2403.08775, 2024 | | 2024 |
| Deep Learning Architecture for Network-Efficiency at the Edge A Mudvari, A Vainio, I Ofeidis, S Tarkoma, L Tassiulas arXiv preprint arXiv:2311.05739, 2023 | | 2023 |
| Fog Computing for Deep Learning with Pipelines A Vainio, A Mudvari, D Kiedanski, S Tarkoma, L Tassiulas 2023 IEEE 7th International Conference on Fog and Edge Computing (ICFEC), 64-72, 2023 | | 2023 |
