DECOMPOSER: Functional Decomposition of Monolithic Applications to Heterogeneous Resources in Disaggregated Environments. - Guilherme Mendes Vieira de Matos; Fábio Luciano Verdi; Washington Rodrigo Dias da Silva; Andrew Williams (StudentWorkshop@CoNEXT, 2024)

Delivering Augmented Reality to the Edge: An Approach Toward Object Recognition through the In-Network Computing Paradigm. - Washington Rodrigo Dias da Silva; Fábio L. Verdi; Guilherme M. V. Matos; Andrew Williams (StudentWorkshop@CoNEXT, 2024)

TimeGAN as a Simulator for Reinforcement Learning Training in Programmable Data Planes. - Thiago Caproni Tavares; Leandro C. de Almeida; Washington Rodrigo Dias da Silva; Marco Chiesa; Fábio L. Verdi (NOMS, 2024)

DESiRED - Dynamic, Enhanced, and Smart iRED: A P4-AQM with Deep Reinforcement Learning and In-band Network Telemetry. - Leandro C. de Almeida; Washington Rodrigo Dias da Silva; Thiago Caproni Tavares; Rafael Pasquini; Chrysa Papagianni; Fábio L. Verdi (Comput. Networks, 2024)

DECOMPOSER: Functional decomposition and distributed execution of monolithic applications to heterogeneous resources. - Guilherme Mendes Vieira de Matos; Washington Rodrigo Dias da Silva; Fábio Luciano Verdi; Andrew Williams (NOMS, 2025)