The Aston Lab for Intelligent Collectives Engineering combines expertise in various forms of collective computing systems: multi-agent systems, evolutionary computation, swarm intelligence, self-adaptive, self-organising and self-aware systems. We have a particular focus on how to engineer such collectives to achieve specific desirable properties, such as emergence, robustness, adaptability, scalability and creativity. Our work has been applied to a wide range of applications including sensor networks, swarm robotics, computer generated art, decision support systems and economic modelling.
Nelly exploits the interdisciplinary aspects of software engineering, comprising both technical and human concerns, while developing techniques for intelligent, autonomous and highly-distributed systems.
Chris is a cognitive scientist who specialises in building computational models of psychological classification and decision making.
Maria Chli is a Senior Lecturer at Aston University and a member of ALICE. She graduated with an MEng and later obtained a PhD from Imperial College London.
Aniko's research interests range from specific theory and application of evolutionary computation.
Harry's research interests are in swarm intelligence, swarm robotics and continuous optimization.
Peter's research is concerned with complex agent-based systems that learn and adapt on an ongoing basis.
Kat's research is on intelligent virtual agents. She is currently working in industry and a visiting academic connected with ALICE.
Alina is a systems engineer, with research interests in evolutionary computation, autonomic knowledge curation and self-aware systems.
Completing his PhD in AI, Ali's research is on extracting cognitive knowledge from data & producing decision making/classification models. His research area is Data Science & its utilisation in AI.
Aamir's current research centres around Software Module Clustering techniques using Evolutionary Algorithms particularly for the migration of mobile applications to mobile-cloud hybrid applications.
Arezoo's research is focused on the impact of the application of heterogeneity/diversity to collective systems and particularly self-organizing wireless sensor networks.
Luca's research interests are in the areas of structural pattern recognition, data and network science.
Thomas's research focuses on Genetic Programming with a specific interest in the self-adaptation of parameters at runtime and hybridised fitness functions.
Aman's research focuses on solving dynamic problems using nature-inspired algorithms from reinforcement learning, evolutionary computing and hybrid techniques.
Diego's research interests are focused on human-robot interaction and assistive living resorting to probabilistic modelling for learning and inference based on multi-modal sensory information.
Elizabeth's research interests are in population-based multiobjective optimization and matheuristics, multi-criteria decision analysis and mathematical and statistical aspects of optimization theory.
Lukas's research interests are in self-organizing and self-aware collective systems in changing environments.