Predictive Algorithms for Scheduling Parameter Sweep Calculations in a Cloud Environment. - Stig Bosmans; Glenn Maricaux; Filip Van der Schueren (3PGCIC, 2016)

Acsim: Towards Hyper-scalable Internet of Things Simulation. - Stig Bosmans; Siegfried Mercelis; Marc Ceulemans; Joachim Denil; Peter Hellinckx (3PGCIC, 2017)

Challenges of Modeling and Simulating Internet of Things Systems. - Stig Bosmans; Siegfried Mercelis; Joachim Denil; Peter Hellinckx (3PGCIC, 2018)

Distributed Uniform Streaming Framework: Towards an Elastic Fog Computing Platform for Event Stream Processing. - Simon Vanneste; Jens de Hoog; Thomas Huybrechts; Stig Bosmans; Muddsair Sharif; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2018)

Towards evaluating emergent behavior of the internet of things using large scale simulation techniques (wip). - Stig Bosmans; Siegfried Mercelis; Peter Hellinckx; Joachim Denil (SpringSim (TMS), 2018)

Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques. - Stig Bosmans; Siegfried Mercelis; Peter Hellinckx; Joachim Denil (CoRR, 2018)

Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices. - Amber Cassimon; Simon Vanneste; Stig Bosmans; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2019)

Learning to Communicate with Multi-agent Reinforcement Learning Using Value-Decomposition Networks. - Simon Vanneste; Astrid Vanneste; Stig Bosmans; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2019)

Reducing Computational Cost Of Large-Scale Simulations Using Opportunistic Model Approximation. - Stig Bosmans; Siegfried Mercelis; Peter Hellinckx; Joachim Denil (SpringSim, 2019)

Enhancing Students' Learning Experience via Low-Cost Network Laboratories. - Nina Slamnik-Krijestorac; Stig Bosmans; Peter Hellinckx; Johann M. Márquez-Barja (IEEE Commun. Mag., 2019)

Testing IoT systems using a hybrid simulation based testing approach. - Stig Bosmans; Siegfried Mercelis; Joachim Denil; Peter Hellinckx (Computing, 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)

Cost-aware hybrid cloud scheduling of parameter sweep calculations using predictive algorithms. - Stig Bosmans; Glenn Maricaux; Filip Van der Schueren; Peter Hellinckx (Int. J. Grid Util. Comput., 2019)

Adaptivity in Distributed Agent-Based Simulation: A Generic Load-Balancing Approach. - Stig Bosmans; Toon Bogaerts; Wim Casteels; Siegfried Mercelis; Joachim Denil; Peter Hellinckx (MABS, 2020)

Designing resource-constrained neural networks using neural architecture search targeting embedded devices. - Amber Cassimon; Simon Vanneste; Stig Bosmans; Siegfried Mercelis; Peter Hellinckx (Internet Things, 2020)

Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System. - Simon Vanneste; Gauthier de Borrekens; Stig Bosmans; Astrid Vanneste; Kevin Mets; Siegfried Mercelis; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

Improving scalability of large scale agent-based simulations - Stig Bosmans (2021)

Adaptivity in multi-level traffic simulation using experimental frames. - Stig Bosmans; Toon Bogaerts; Wim Casteels; Siegfried Mercelis; Joachim Denil; Peter Hellinckx (Simul. Model. Pract. Theory, 2022)