Principal Research Engineer
Cloud Reliability Lab, Huawei Ireland Research Center
LinkedIn: https://www.linkedin.com/in/mouelhis/
About Me
I am a Principal Research Engineer at Huawei Ireland Research Center, specializing in formal methods for cloud reliability and agentic AI safety.
Professional History
2024 – Present: Principal Research Engineer, Huawei Ireland Research Center.
2020 – 2024: Associate Professor, ESTACA Campus Paris-Saclay (ESTACA'Lab).
2015 – 2020: Lecturer-Researcher, ECE - Ecole d’ingénieurs.
2012 – 2015: R&D Engineer, SafeRiver; Safety Assurance Engineer, ALSTOM Transport.
2011 – 2012: Postdoctoral Researcher, INRIA Grenoble.
Ph.D. in Computer Science: University of Franche-Comté (2011).
Key Research Areas
My work focuses on the intersection of formal verification, distributed systems, and AI:
Cloud Reliability: Developing inductive decision procedures for IAM policy analysis and optimizing SMT encodings (CVC5/Z3) for scalability.
Neuro-/Symbolic AI: Integrating symbolic reasoning with agentic workflows to create verifiable, safe autonomous systems.
Distributed Systems Verification: Applying Probabilistic Concurrency Testing (PCT) and formal abstraction (P framework) to verify ACID properties in P2P GSLB networks.
Code Verification: Using Gobra and Viper Infrastructure for Go code verification, applying separation logic and contractual specifications.
Skills & Technologies
Formal Methods: SMT Solving, Inductive Reasoning, Symbolic Execution, Prover Certifier, P Framework, Viper Infrastructure, Gobra.
Programming: Rust, Ada, Go, OCaml, Python.
AI & Data: Machine Learning, NLP, CRISP-DM (Cross-Industry Standard Process for Data Mining), Data Mining, Big Data, Agentic AI.
Domains: Cyber-Physical Systems, Cybersecurity, Vehicular Networking, IoT, Intelligent Transportation Systems.