Respiration estimation and apnea detection using fuzzy logic. - Akrit Mudvari; Taikang Ning (EMBC, 2017)

Magnalium: Highly Reliable SDC Networks with Multiple Control Plane Composition. - Geng Li; Akrit Mudvari; Kerim Gokarslan; Patrick Baker; Sastry Kompella; Franck Le; Kelvin M. Marcus; Jeremy Tucker; Yang Richard Yang; Paul L. Yu (SMARTCOMP, 2019)

ML-driven scaling of 5G Cloud-Native RANs. - Akrit Mudvari; Nikos Makris; Leandros Tassiulas (GLOBECOM, 2021)

Exploring ML methods for Dynamic Scaling of beyond 5G Cloud-Native RANs. - Akrit Mudvari; Nikos Makris; Leandros Tassiulas (ICC, 2022)

Robust SDN Synchronization in Mobile Networks Using Deep Reinforcement and Transfer Learning. - Akrit Mudvari; Konstantinos Poularakis; Leandros Tassiulas (ICC, 2023)

Fog Computing for Deep Learning with Pipelines. - Antero Vainio; Akrit Mudvari; Diego Kiedanski; Sasu Tarkoma; Leandros Tassiulas (ICFEC, 2023)

Deep Learning Architecture for Network-Efficiency at the Edge. - Akrit Mudvari; Antero Vainio; Iason Ofeidis; Sasu Tarkoma; Leandros Tassiulas (CoRR, 2023)

Joint SDN Synchronization and Controller Placement in Wireless Networks using Deep Reinforcement Learning. - Akrit Mudvari; Leandros Tassiulas (NOMS, 2024)

Constrained Reinforcement Learning for Adaptive Controller Synchronization in Distributed SDN. - Ioannis Panitsas; Akrit Mudvari; Leandros Tassiulas (CoRR, 2024)

Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach. - Ioannis Panitsas; Akrit Mudvari; Ali Maatouk; Leandros Tassiulas (CoRR, 2024)

Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach. - Panagiotis Promponas; Akrit Mudvari; Luca Della Chiesa; Paul Polakos; Louis G. Samuel; Leandros Tassiulas (CoRR, 2024)

SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization. - Akrit Mudvari; Yuang Jiang; Leandros Tassiulas (CoRR, 2024)

Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency. - Akrit Mudvari; Antero Vainio; Iason Ofeidis; Sasu Tarkoma; Leandros Tassiulas (ACM Trans. Internet Techn., 2024)