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 Bencomo is a lecturer in Computer Science in Aston University. Before, she was a Marie Curie Fellow at INRIA Paris - Roquencourt.
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 Ekart is a senior lecturer at Aston University and member of ALICE. Her research interests range from specific theory a nd application of evolutionary computation...
Harry Goldingay is a lecturer at Aston University and a member of ALICE. His research interests are in swarm intelligence, swarm robotics and continuous optimization.
Peter Lewis is a Lecturer at Aston University and a member of ALICE. His research is concerned with online learning, adaptation and optimisation in complex agent-based systems.
Kat Samperi has recently completed her PhD at the University of Birmingham before moving to Aston University. She is currently working in industry and a visiting academic connected with ALICE.
Alina Patelli graduated with an BSc in Applied Sciences and later obtained a PhD in Systems Engineering. She is currently pursuing a second PhD in Semantic Reasoning and Autonomic Computing.
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' 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.