| 2025 | IJCNN | Accelerating Simulation-Based Inference with Variational Autoencoders. | Mayank Nautiyal, Andrey Shternshis, Andreas Hellander, Prashant Singh |
| 2023 | ICDE | Efficient Hierarchical Storage Management Empowered by Reinforcement Learning Extended Abstract. | Tianru Zhang, Andreas Hellander, Salman Toor |
| 2022 | CCGRID | Scalable federated machine learning with FEDn. | Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias kesson, Prashant Singh, Ola Spjuth, Salman Toor, Andreas Hellander |
| 2022 | IJCNN | Robust and integrative Bayesian neural networks for likelihood-free parameter inference. | Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh |
| 2019 | CCGRID | Adapting the Secretary Hiring Problem for Optimal Hot-Cold Tier Placement Under Top-K Workloads. | Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor |
| 2018 | WSC | Hyperparameter Optimization for Approximate Bayesian Computation. | Prashant Singh, Andreas Hellander |
| 2017 | CLOSER | Cost-aware Application Development and Management using CLOUD-METRIC. | Alieu Jallow, Andreas Hellander, Salman Zubair Toor |
| 2017 | WSC | Surrogate assisted model reduction for stochastic biochemical reaction networks. | Prashant Singh, Andreas Hellander |
| 2012 | CCGRID | Reducing Complexity in Management of eScience Computations. | Per-Olov stberg, Andreas Hellander, Brian Drawert, Erik Elmroth, Sverker Holmgren, Linda R. Petzold |