About

Research Engineer with extensive expertise in applied mathematical modelling (physics-based, data-driven, and hybrids), multidisciplinary optimisation, artificial intelligence (artificial neural networks, swarm intelligence, evolutionary computation, reinforcement learning, cellular automata), multi-agent systems, and complex adaptive systems (self-organising systems with emergent properties).

Founder of the Autonomous Vehicles & Artificial Intelligence Laboratory.

Founder, Director, CTO, and Research Engineer at SwarmMind Ltd.

Building & Structural Engineering degree from the National University of the Northeast (Argentina, 2003); master’s degree in Numerical Methods for Calculus and Design in Engineering from the Polytechnic University of Catalonia (Spain, 2007); PhD degree in Particle Swarm Optimisation from Swansea University (UK, 2011); Postgraduate Certificate in Academic Practice in Higher Education from Coventry University (UK, 2017); and Fellow of the Higher Education Academy since 2017.

Engineering Assistant at GINSA SA (civil engineering company) in Argentina in 2001–2003; Research Assistant in the Analysis & Advanced Materials for Structural Design (AMADE) group at the University of Gerona (Spain) in 2006; Research Assistant in the Civil & Computational Engineering Centre (C²EC) at Swansea University (UK) in 2010; Research Officer in the Advanced Sustainable Manufacturing Technologies (ASTUTE) project at Swansea University in 2010-2014; Research Associate in the Institute of Energy at Cardiff University (UK) in 2014–2015; Lecturer and then Senior Lecturer at Coventry University (UK) in 2015–2025 delivering lectures in Applied Mathematical Modelling, Optimisation Techniques, Swarm Systems, Computational Intelligence, and Aerospace Structures. Supervised eight PhD, one MPhil, 22 MSc, and three BEng students to completion.

Interdisciplinary research, mainly concerned with swarm intelligence (particle swarms, ant colony, swarm robotics), self-organisation, evolutionary computation (genetic algorithms, differential evolution, genetic programming), multi-agent systems, neural networks, cellular automata, reinforcement learning, computer vision, applied mathematical modelling (physics-based, data-driven, hybrids), thermal modelling, multidisciplinary optimisation, simulation-based and surrogate-based optimisation, optimal design (e.g., engineering structures, power converters, linear Fresnel reflector systems, engine–frame matching), and optimal operation/management (e.g. waterflooding in petroleum fields).