KAPETÁNIOS: Automated Kubernetes Adaptation through a Digital Twin. - Johannes Zerwas; Patrick Krämer; Razvan-Mihai Ursu; Navidreza Asadi; Phil Rodgers; Leon Wong; Wolfgang Kellerer (NoF, 2022)

FullPack: Full Vector Utilization for Sub-Byte Quantized Inference on General Purpose CPUs. - Hossein Katebi; Navidreza Asadi; Maziar Goudarzi (CoRR, 2022)

Adaptive Decentralized Federated Gossip Learning for Resource-Constrained IoT Devices. - Lars Wulfert; Navidreza Asadi; Wen-Yu Chung; Christian Wiede; Anton Grabmaier (DistributedML@CoNEXT, 2023)

Towards Digital Network Twins: Can we Machine Learn Network Function Behaviors? - Razvan-Mihai Ursu; Johannes Zerwas; Patrick Krämer; Navidreza Asadi; Phil Rodgers; Leon Wong; Wolfgang Kellerer (NetSoft, 2023)

HyPA: Hybrid Horizontal Pod Autoscaling with Automated Model Updates. - Kaan Aykurt; Razvan-Mihai Ursu; Johannes Zerwas; Patrick Krämer; Navidreza Asadi; Leon Wong; Wolfgang Kellerer (NFV-SDN, 2023)

An Ensemble Mobile-Cloud Computing Method for Affordable and Accurate Glucometer Readout. - Navidreza Asadi; Maziar Goudarzi (CoRR, 2023)

FullPack: Full Vector Utilization for Sub-Byte Quantized Matrix-Vector Multiplication on General Purpose CPUs. - Hossein Katebi; Navidreza Asadi; Maziar Goudarzi (IEEE Comput. Archit. Lett., 2024)

Variant Parallelism: Lightweight Deep Convolutional Models for Distributed Inference on IoT Devices. - Navidreza Asadi; Maziar Goudarzi (IEEE Internet Things J., 2024)

Comparative Analysis Between Decentralized and Centralized Network Digital Twins of Kubernetes Clusters. - Razvan-Mihai Ursu; Navidreza Asadi; Johannes Zerwas; Leon Wong; Wolfgang Kellerer (NetSoft, 2025)

On-Demand Container Partitioning for Distributed ML. - Giovanni Bartolomeo; Navidreza Asadi; Wolfgang Kellerer; Jörg Ott; Nitinder Mohan (USENIX ATC, 2025)