Portrait of Benjamin Bocquillon.

Benjamin Bocquillon

PhD engineer in AI, optimisation and complex systems

CentraleSupélec
Safran Electronics & Defense

Available now

I am a PhD engineer working at the intersection of AI, optimisation and complex industrial systems. During a four-year industrial PhD at CentraleSupélec and Safran Electronics & Defense, I developed methods combining neural Lyapunov functions with global optimisation to identify stability regions in nonlinear system models. I then turned this research into a tool Safran engineers could use without writing code. The work led to three peer-reviewed international conference papers as first author.

More recently, I co-founded Hoocq (opens in a new tab) and helped grow it to €300k+ in revenue across 50+ clients, combining business development, client strategy and end-to-end project delivery through a network of around 100 freelancers.

I am now looking for technically demanding AI problems where scientific rigour and real-world execution matter equally.

My story, in 90 seconds

Benjamin Bocquillon speaking to camera in the introduction video.

Selected projects

Lyapunov stability optimization

python · pytorch · neural certificates · ga / pso

A Python and PyTorch reimplementation of the methods from my doctorate for automatically searching Lyapunov functions and estimating stability regions in nonlinear dynamical systems. Neural Lyapunov functions and quadratic forms are optimised with genetic algorithms and particle swarm optimisation, for both continuous- and discrete-time systems. Reproducible experiments, tests and CI.

Experience

since 2023

Hoocq

Co-founder. Led business development, client strategy, budgeting and end-to-end project delivery, coordinating projects through a network of around 100 freelancers. Integrated generative AI and workflow automation into prospecting, content production and selected client projects.

2020–2024

Safran Electronics & Defense × CentraleSupélec

Industrial PhD researcher (CIFRE). Developed optimisation-based methods to construct neural Lyapunov functions and identify stability regions in nonlinear dynamical systems. Combined genetic algorithms, particle swarm optimisation and genetic programming, validating the methods on Safran industrial models with up to nine state variables.

2021–2023

CentraleSupélec

Teaching assistant in control theory. Taught control theory and MATLAB practical sessions to second-year engineering students.

2018

Oslo Metropolitan University

Research engineer. Developed Python behaviours for Thymio II robots in a swarm robotics experiment, combining random exploration with visual trail-following to mimic pheromone-based coordination.

Publications

A comprehensive framework to determine Lyapunov functions for a set of continuous time stability problems

B. Bocquillon, P. Feyel, G. Sandou, P. Rodriguez-Ayerbe

IECON 2022 — 48th annual conference of the IEEE Industrial Electronics Society · Brussels

Computation of neural networks Lyapunov functions for discrete and continuous time systems with domain of attraction maximization

B. Bocquillon, P. Feyel, G. Sandou, P. Rodriguez-Ayerbe

IJCCI 2020 (NCTA) — 12th international joint conference on computational intelligence · pp. 471–478

Efficient construction of neural networks Lyapunov functions with domain of attraction maximization

B. Bocquillon, P. Feyel, G. Sandou, P. Rodriguez-Ayerbe

ICINCO 2020 — 17th international conference on informatics in control, automation and robotics · pp. 174–180

Training methods for analyzing the stability of a complex system

PhD thesis — CentraleSupélec, Université Paris-Saclay, with Safran Electronics & Defense

Defended 25 March 2024

Education

2024

PhD in AI, Optimisation & Control

CentraleSupélec · Université Paris-Saclay

Industrial PhD conducted with Safran Electronics & Defense

2018

Engineering Degree

ISEP, Paris

Specialisation in Business Intelligence

Academic exchange at Oslo Metropolitan University, Norway