Digital Twin for Tuning of Server Fan Controllers. - Rickard Brännvall; Jeffrey Sarkinen; Joar Svartholm; Jonas Gustafsson; Jon Summers (INDIN, 2019)

EDGE: Microgrid Data Center with Mixed Energy Storage. - Rickard Brännvall; Mikko Siltala; Jonas Gustafsson; Jeffrey Sarkinen; Mattias Vesterlund; Jon Summers (e-Energy, 2020)

Cross-Encoded Meta Embedding towards Transfer Learning. - György Kovács 001; Rickard Brännvall; Johan Öhman; Marcus Liwicki (ESANN, 2020)

Towards a Holistic Controller: Reinforcement Learning for Data Center Control. - Albin Heimerson; Rickard Brännvall; Johannes Sjölund; Johan Eker; Jonas Gustafsson (e-Energy, 2021)

Defining Beneficiaries of Emerging Data Infrastructures Towards Effective Data Appropriation - Insights from the Swedish Space Data Lab. - Aya Rizk; Cathrine F. Seidelin; György Kovács 001; Marcus Liwicki; Rickard Brännvall (ICIST, 2021)

Adaptive Control of Data Center Cooling using Deep Reinforcement Learning. - Albin Heimerson; Johannes Sjölund; Rickard Brännvall; Jonas Gustafsson; Johan Eker (ACSOS-C, 2022)

Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning. - Tosin P. Adewumi; Rickard Brännvall; Nosheen Abid; Maryam Pahlavan; Sana Sabah Sabry; Foteini Liwicki; Marcus Liwicki (NLDL, 2022)

Homomorphic encryption enables private data sharing for digital health: winning entry to the Vinnova innovation competition Vinter 2021-22. - Rickard Brännvall; Henrik Forsgren; Helena Linge; Marina Santini; Alireza Salehi; Fatemeh Rahimian (SAIS, 2022)

Cost Optimization for the Edge-Cloud Continuum by Energy-Aware Workload Placement. - Rickard Brännvall; Tina Stark; Jonas Gustafsson; Mats Eriksson; Jon Summers (e-Energy (Companion), 2023)

Homomorphic Encryption Enables Data and Algorithm Confidentiality for Remote Monitoring and Control: An Application to Data Center Systems. - Henrik Forsgren; Rickard Brännvall; Mattias Vesterlund; Tor Björn Minde (e-Energy (Companion), 2023)

ANIARA: Experimental Investigation of Micro Edge Data Centers with Battery Support on Power-Constrained Grids. - Sebastian Fredriksson; Lackis Eleftheriadis; Rickard Brännvall; Nils Bäckman; Jonas Gustafsson (e-Energy (Companion), 2023)

HEIDA: Software Examples for Rapid Introduction of Homomorphic Encryption for Privacy Preservation of Health Data. - Rickard Brännvall; Henrik Forsgren; Helena Linge (MIE, 2023)

Secure Sharing of Health-Related Data: Research Description of the VINTER, DELFIN, and HEIDA Projects. - Helena M. Linge; Rickard Brännvall (MIE, 2023)

Can the use of privacy enhancing technologies enable federated learning for health data applications in a Swedish regulatory context? - Rickard Brännvall; Helena Linge; Johan Östman (SAIS, 2023)

ReLU and Addition-based Gated RNN. - Rickard Brännvall; Henrik Forsgren; Fredrik Sandin; Marcus Liwicki (CoRR, 2023)

The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers. - Rickard Brännvall (CoRR, 2023)

The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract). - Rickard Brännvall (AAAI, 2024)

Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine Learning. - Rickard Brännvall; Laurynas Adomaitis; Olof Görnerup; Anass Sedrati (CoRR, 2025)

A sandbox study proposal for private and distributed health data analysis. - Rickard Brännvall; Hanna Svensson; Kannaki Kaliyaperumal; Håkan Burden; Susanne Stenberg (CoRR, 2025)

Conditioning on Local Statistics for Scalable Heterogeneous Federated Learning. - Rickard Brännvall (CoRR, 2025)

InhibiDistilbert: Knowledge Distillation for a ReLU and Addition-based Transformer. - Tony Zhang; Rickard Brännvall (CoRR, 2025)