Dr Andrea Soltoggio
My research interests focus on neural plasticity, models of learning and memory, neuro-robotics, deep learning, evolutionary computation, artificial life, adaptive behaviour, human-robot interaction, control systems, cognition and intelligence, movement primitives, motor skills.
- Soltoggio, A, Stanley, K. O., Risi, S. (2017) Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Neural Networks. arXiv: https://arxiv.org/abs/1703.10371
- Bahroun, Y, Hunsicker, E, and Soltoggio, A. (2017) “Building Efficient Deep Hebbian Networks for Image Classification Tasks”, ICANN 2017, International Conference on Artificial Neural Networks
- Andrea Soltoggio (2014) Short-term plasticity as cause-effect hypothesis testing in distal reward learning, Biological Cybernetics, Feb 2015, Vol 109, p75-94, DOI: 10.1007/s00422-014-0628-0
- Andrea Soltoggio, Andre Lemme, Felix Reinhart, Jochen J. Steil (2013) Rare neural correlations implement robotic conditioning with delayed rewards and disturbances, Frontiers in Neurorobotics, DOI: 10.3389/fnbot.2013.00006
- Soltoggio, A., Bullinaria, A. J., Mattiussi, C., Dürr, P. and Floreano, D. (2008) Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios. Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems
I'm currently supervising 6 Ph.D. students, one has completed in 2017.
Andrea Soltoggio received MSc+BSc equivalent degrees in Computer Science in 2004 from the Norwegian University of Science and Technology, Norway, and from Politecnico di Milano, Italy. He was awarded a Ph.D. in Computer Science in 2009 from the University of Birmingham, UK. He was with the Laboratory of Intelligent Systems at EPFL, Lausanne, CH, in 2006 and 2008-2009. He was a visiting researcher at the University of Central Florida, US, in 2009. From 2010 to 2014 he was Technical Coordinator of the FP7 European large-scale integration project AMARSi with the Research Institute for Cognition and Robotics, Bielefeld University, Germany. From 2014 he is a lecturer in computer science and artificial intelligence at Loughborough University.
He is a Fellow of the Higher Education Academy (FHEA).
- Innovate UK. 2017-2018, £107k. Knowledge Transfer Partnership (PI)
- EPSRC 2017-2018, £70k. Feasibility study (CI)
- Technical co-ordinator of the EU FP7 #24831 AMARSI project (2010-2014), approx. 12 PIs, 30+ full time researchers.
I'm a guest editor for Frontiers in Neurorobotics, special issue: Neural plasticity for rich and uncertain robotic information streams.
- Adaptive Behavior
- AIMS Neuroscience
- Essays in Biochemistry
- IEEE Systems, Man, and Cybernetics, Part A and B
- IEEE Transaction of Cognitive and Developmental Systems
- Information Sciences
- MIT Evolutionary Computation Journal
- MIT Neural Networks Journal
- Neural Networks Journal
- Neurocomputing Journal
- Soft Computing
Programme Committee of:
- Genetic and Evolutionary Computation Conference (GECCO)
- IEEE International Conference on Intelligent Computing
- International Symposium on Bio-Medical Information and Cybernetics
- Hybrid Intelligent Systems Conference
- Congress on Evolutionary Computation (CEC)
- IEEE Symposium Series on Computational Intelligence for Human-Like Intelligence (CIHLI)
- Australasian Conference on Artificial Life and Computational Intelligence
- Post Graduate Taught Tutor (MSc project co-ordination, tutoring)
- Current 2015 - 2018
- Advanced Artificial Intelligence Systems (Part C)
- Managing a project team (Part D)
- Team projects (Part B)
- Research skills
- Evolutionary Computation
- Neural Computation
- Design and media team
- Artificial Intelligence and Cognitive Science
Project/thesis supervision (Part C, Part D, MSc)
- Approximately 35 projects since 2014