Computer Science

Department staff

Dr Andrea Soltoggio

Photo of Dr Andrea Soltoggio

Lecturer

NEWS: I'm looking for candidates for a Ph.D. position and a Research Associate position to work on the evolution of plastic neural systems. Start date March 2018. Please contact me if you are interested. 

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. 

For a list of publications, check the institutional repository or my personal web page.

Selected publications: 

  • 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 5 Ph.D. students, two have completed in 2017.

The word cloud of our new review paper: 

 
 

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).

 
 

Funded projects: 

 Past projects: 

  • Technical co-ordinator of the EU FP7 #248311 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.

Reviewer for:

  • 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
  • Nature
  • 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
 
 

Administrative roles:

  • Post Graduate Taught Tutor (MSc project co-ordination, tutoring)

Teaching

  • Current 2015 - 2018
    • Advanced Artificial Intelligence Systems (Part C). This year 2017/18, Qubit sponsors three prizes for: best overall project, highest accuracy of the AI system, most creative project. 
    • Managing a project team (Part D) 
    • Team projects (Part B) 
  • Past:
    • 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

Outreach activities

  • BBC One (East Midlands Today). The potential impact to East Midlands region of AI innovation with Amy Harris (27/11/2017)
  • BBC Radio Leicester. Talking about chatbots for emotional intelligence and profile building with Ady Dayman (24/11/2017)
  • BBC Radio Leicester. Talking about AI and chatbots with Jonathan Lampon (9/8/2017)
  • NAO robots at the British Science Week (March 2016, March 2017)
  • BBC Radio Leicester. Interview on robotics with NAO robots (14/9/2015)
  • STEM Science Tester Day (22/9/2015)