| 2026 | NetSoft | ARoMA: Robust Network Delay Change Detection with Adaptation to Drifts. | Noah Wassberg, Simon Lindsthl, Andreas Johnsson |
| 2025 | NetSoft | Meta Learning for Improved Policy Transfer in Changing Network Environments. | Simon Damberg, Hannes Larsson, Andreas Johnsson |
| 2025 | NetSoft | Factors Influencing LSTM Model Generalizability for IoT Intrusion Detection. | Amin Kaveh, Noah Wassberg, Christian Rohner, Andreas Johnsson |
| 2025 | Networking | Measurement-Efficient Dynamics Change Detection in On-Off Models for Dynamic Spectrum Access. | Simon Lindsthl, Alexandre Proutire, Andreas Johnsson |
| 2024 | NOMS | Generalizable One-Way Delay Prediction Models for Heterogeneous UEs in 5G Networks. | Akhila Rao, Hassam Riaz, Aleksandr Zavodovski, Rami Mochaourab, Viktor Berggren, Andreas Johnsson |
| 2024 | NOMS | Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment. | Forough Shahab Samani, Hannes Larsson, Simon Damberg, Andreas Johnsson, Rolf Stadler |
| 2024 | SIGMETRICS | Change Point Detection with Adaptive Measurement Schedules for Network Performance Verification. | Simon Lindsthl, Alexandre Proutire, Andreas Johnsson |
| 2023 | NOMS | On the Impact of Blackhole-Attack Variations on ML-based Intrusion Detection Systems in IoT. | Amin Kaveh, Adam Pettersson, Christian Rohner, Andreas Johnsson |
| 2023 | NOMS | Domain Adaptation for Network Performance Modeling with and without Labeled Data. | Hannes Larsson, Farnaz Moradi, Jalil Taghia, Xiaoyu Lan, Andreas Johnsson |
| 2022 | GLOBECOM | Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach. | Simon Lindsthl, Alexandre Proutire, Andreas Johnsson |
| 2022 | INFOCOM | Policy-Induced Unsupervised Feature Selection: A Networking Case Study. | Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson |
| 2022 | INFOCOM | Demonstration of Policy-Induced Unsupervised Feature Selection in a 5G network. | Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson |
| 2022 | NOMS | Exploring Approaches for Heterogeneous Transfer Learning in Dynamic Networks. | Fernando Garca Sanz, Masoumeh Ebrahimi, Andreas Johnsson |
| 2022 | SIGCOMM | Prediction and exposure of delays from a base station perspective in 5G and beyond networks. | Akhila Rao, William Trneberg, Emma Fitzgerald, Lorenzo Corneo, Aleksandr Zavodovski, Omkar Rai, Sixten Johansson, Viktor Berggren, Hassam Riaz, Caner Kilinc, Andreas Johnsson |
| 2021 | CNSM | Online Feature Selection for Low-overhead Learning in Networked Systems. | Xiaoxuan Wang, Forough Shahab Samani, Andreas Johnsson, Rolf Stadler |
| 2021 | CoNEXT | Decentralizing Computation with Edge Computing: Potential and Challenges. | Aleksandr Zavodovski, Lorenzo Corneo, Andreas Johnsson, Nitinder Mohan, Suzan Bayhan, Pengyuan Zhou, Walter Wong, Jussi Kangasharju |
| 2021 | GLOBECOM | On Heterogeneous Transfer Learning for Improved Network Service Performance Prediction. | Fernando Garca Sanz, Masoumeh Ebrahimi, Andreas Johnsson |
| 2021 | IM | Towards Source Selection in Transfer Learning for Cloud Performance Prediction. | Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson |
| 2021 | Networking | Source Selection in Transfer Learning for Improved Service Performance Predictions. | Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson |
| 2020 | NOMS | Predicting Round-Trip Time Distributions in IoT Systems using Histogram Estimators. | Christofer Flinta, Wenqing Yan, Andreas Johnsson |
| 2020 | SOFTCOM | Towards Intelligent Industry 4.0 5G Networks: A First Throughput and QoE Measurement Campaign. | William Trneberg, Omar Hamsis, John Hedlund, Kjell Brunnstrm, Emma Fitzgerald, Andreas Johnsson, Viktor Berggren, Maria Kihl, Akhila Rao, Rebecca Steinert, Caner Kilinc |
| 2019 | IM | Machine Learning Based Active Measurement Proxy for IoT Systems. | Andreas Johnsson, Christofer Flinta, Wenqing Yan |
| 2019 | IM | Performance Prediction in Dynamic Clouds using Transfer Learning. | Andreas Johnsson, Farnaz Moradi, Rolf Stadler |
| 2019 | IM | Demonstration: Predicting Distributions of Service Metrics. | Forough Shahab, Rolf Stadler, Andreas Johnsson, Christofer Flinta |
| 2019 | QoMEX | On Network Performance Indicators for Network Promoter Score Estimation. | Selim Ickin, Jawwad Ahmed, Andreas Johnsson, Jrgen Gustafsson |
| 2018 | NOMS | Automated diagnostic of virtualized service performance degradation. | Jawwad Ahmed, Tim Josefsson, Andreas Johnsson, Christofer Flinta, Farnaz Moradi, Rafael Pasquini, Rolf Stadler |
| 2018 | NOMS | On performance observability in IoT systems using active measurements. | Andreas Johnsson, Christian Rohner |
| 2017 | IM | Online approach to performance fault localization for cloud and datacenter services. | Jawwad Ahmed, Andreas Johnsson, Farnaz Moradi, Rafael Pasquini, Christofer Flinta, Rolf Stadler |
| 2017 | IM | Real-time resource prediction engine for cloud management. | Christofer Flinta, Andreas Johnsson, Jawwad Ahmed, Farnaz Moradi, Rafael Pasquini, Rolf Stadler |
| 2017 | IM | ConMon: An automated container based network performance monitoring system. | Farnaz Moradi, Christofer Flinta, Andreas Johnsson, Catalin Meirosu |
| 2017 | Networking | Predicting SLA conformance for cluster-based services. | Rafael Pasquini, Farnaz Moradi, Jawwad Ahmed, Andreas Johnsson, Christofer Flinta, Rolf Stadler |
| 2016 | GLOBECOM | On Measurement Endpoint Placement Using Genetic Algorithms for Network Observability. | Andreas Johnsson, Catalin Meirosu |
| 2016 | Networking | On time-stamp accuracy of passive monitoring in a container execution environment. | Farnaz Moradi, Christofer Flinta, Andreas Johnsson, Catalin Meirosu |
| 2016 | NOMS | Predicting SLA conformance for cluster-based services using distributed analytics. | Jawwad Ahmed, Andreas Johnsson, Rerngvit Yanggratoke, John Ardelius, Christofer Flinta, Rolf Stadler |
| 2015 | CNSM | Predicting service metrics for cluster-based services using real-time analytics. | Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler |
| 2015 | IM | KVM virtualization impact on active round-trip time measurements. | Ramide Dantas, Djamel Sadok, Christofer Flinta, Andreas Johnsson |
| 2015 | IM | Predicting real-time service-level metrics from device statistics. | Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler |
| 2015 | IM | A platform for predicting real-time service-level metrics from device statistics. | Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler |
| 2014 | NOMS | Online network performance degradation localization using probabilistic inference and change detection. | Andreas Johnsson, Catalin Meirosu, Christofer Flinta |
| 2013 | IM | Towards automatic network fault localization in real time using probabilistic inference. | Andreas Johnsson, Catalin Meirosu |
| 2011 | IM | Towards automatic provisioning and validation of Ethernet services over transport networks. | Andreas Johnsson, Catalin Meirosu, Navid Anjum, Amir Tirdad |
| 2008 | LCN | On measuring available bandwidth in wireless networks. | Andreas Johnsson, Mats Bjrkman |
| 2006 | NOMS | Real-Time Measurement of End-to-End Available Bandwidth using Kalman Filtering. | Svante Ekelin, Martin Nilsson, Erik Hartikainen, Andreas Johnsson, Jan-Erik Mngs, Bob Melander, Mats Bjrkman |