Context-Aware Distribution In Constrained IoT Environments. - Reinout Eyckerman; Muddsair Sharif; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2018)

Distributed Task Placement in the Fog: A Positioning Paper. - Reinout Eyckerman; Siegfried Mercelis; Johann Márquez-Barja; Peter Hellinckx (3PGCIC, 2019)

DUST Initializr - CAD Drawing Platform for Designing Modules and Applications in the DUST Framework. - Thomas Huybrechts; Simon Vanneste; Reinout Eyckerman; Jens de Hoog; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2019)

Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency. - Simon Vanneste; Jens de Hoog; Thomas Huybrechts; Stig Bosmans; Reinout Eyckerman; Muddsair Sharif; Siegfried Mercelis; Peter Hellinckx (Future Internet, 2019)

Towards the Generalization of Distributed Software Communication. - Reinout Eyckerman; Thomas Huybrechts; Raf Van den Langenbergh; Wim Casteels; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2020)

Evaluation of Objective Function Descriptions And Optimization Methodologies For Task Allocation In A Dynamic Fog Environment. - Reinout Eyckerman; Siegfried Mercelis; Johann Márquez-Barja; Peter Hellinckx (IoTSMS, 2020)

Requirements for distributed task placement in the fog. - Reinout Eyckerman; Siegfried Mercelis; Johann Márquez-Barja; Peter Hellinckx (Internet Things, 2020)

DUST Initializr - Graph-based platform for designing modules and applications in the revised DUST framework. - Thomas Huybrechts; Reinout Eyckerman; Raf Van den Langenbergh; Simon Vanneste; Siegfried Mercelis; Peter Hellinckx (Internet Things, 2020)

Autonomous Building Control Using Offline Reinforcement Learning. - Jorren Schepers; Reinout Eyckerman; Furkan Elmaz; Wim Casteels; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop. - Reinout Eyckerman; Philippe Reiter; Siegfried Mercelis; Steven Latré; Johann Márquez-Barja; Peter Hellinckx (ICTC, 2021)

A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark. - Amber Cassimon; Reinout Eyckerman; Siegfried Mercelis; Steven Latré; Peter Hellinckx (CoRR, 2021)

Application Placement in Fog Environments using Multi-Objective Reinforcement Learning with Maximum Reward Formulation. - Reinout Eyckerman; Philippe Reiter; Steven Latré; Johann Márquez-Barja; Peter Hellinckx (NOMS, 2022)