Brell SANWOUO
Brell SANWOUO PhD
MSc. Artificial Intelligence

PhD Candidate @ Inria Lille / University of Lille

Self-Adaptive System · Autonomous System · AI · Multi-agent System Modeling · World Model · Digital Twins

Recent Highlights

About Me

I am a PhD student at Inria Lille and the University of Lille, where I work at the intersection of AI and Software Engineering (AI4SE and SE4AI). My goal is to design methods that make software systems and software engineers more resilient, adaptive, and efficient.

My research covers software architecture, self-adaptive and autonomous systems, AI agents, and empirical software engineering. A core part of my work is the modeling of multi-agent systems, software system structures, and behavioral models for adaptation and autonomy at runtime.

I am also interested in reliable and reproducible AI for Software Engineering, with a strong focus on innovation and on translating research results into concrete, real-world software engineering practices.

Selected Publications

Dynamic Agent Generation for Self-Adaptive Root Cause Analysis

Brell SANWOUO, Clément Quinton, and Paul Temple, SEAMS 2026 (Rank A) . April 2026.

PDF BibTeX
Breaking the Loop: AWARE is the New MAPE-K

Brell SANWOUO, Clément Quinton, and Paul Temple, FSE 2025 (Rank A*) . June 2025.

PDF BibTeX

Talks & Presentations

SEAMS 2026 (Research Track) - Dynamic Agent Generation for Self-Adaptive Root Cause Analysis

Presented in Rio de Janeiro, Brazil.

SEAMS 2026 (Artifact Track) - Artifact of Dynamic Agent Generation for Self-Adaptive Root Cause Analysis Best Artifact Award

Presented in Rio de Janeiro, Brazil, with Best Artifact Award.

ICWS 2025 - Generative AI-based Adaptation in Microservices Architectures

Presented in Helsinki, Finland.

FSE 2025 - Breaking the Loop: AWARE is the New MAPE-K

Presented in Trondheim, Norway.

BENEVOL 2024 - Toward AI-based Complex Self-Adaptive Systems

Workshop poster presented in Namur, Belgium.

Awards & Honours

SEAMS 2026 - Best Artifact Award

Best Artifact Award

Artifact Track · Tue 14 Apr 2026 · Rio de Janeiro, Brazil

Received the Best Artifact Award for Artifact of Dynamic Agent Generation for Self-Adaptive Root Cause Analysis at the SEAMS 2026 Artifact Track.