麻豆直播

Applications for Ph.D. studentships: follow the link at: 

See our DARPA ShELL project press release (Sep 2021)

See our

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  or my personal .

Selected publications: 

• Ben-Iwhiwhu, E, Dick, J, Ketz, NA, Pilly, PK, Soltoggio, A (2022) , Neural Networks, ISSN: 0893-6080. DOI: 10.1016/j.neunet.2022.04.003.
• Angelika Skarysz , Dahlia Salman, Michael Eddleston, Martin Sykora, Eugénie Hunsicker, William H. Nailon, Kareen Darnley, Duncan B. McLaren, C. L. Paul Thomas, Andrea Soltoggio, (2022) , Plos ONE
• Kolouri, S., Ketz, N.A., Soltoggio, A. and Pilly, P.K., 2019, September. . In International Conference on Learning Representations.
• Ladosz, P., Ben-Iwhiwhu, E., Dick, J., Ketz, N., Kolouri, S., Krichmar, J.L., Pilly, P.K. and Soltoggio, A., 2021. . IEEE Transactions on Neural Networks and Learning Systems.
• Hu, Y, Soltoggio, A, Lock, R, Carter, S (2018)  . Download code from GitHub: 
• Skarysz, A., Alkhalifah, Y, Darnley, K, Eddleston, M, Hu, Y, McLaren, DB, Nailon, WH, Salman, D, Sykora, M, Thomas, CLP, Soltoggio, A (2018) Convolutional neural networks for automated targeted analysis of gas-chromatography mass-spectrometry data. In International Joint Conference on Neural Networks, Rio de Janeiro, Brazil. .
• Soltoggio, A, Stanley, K. O., Risi, S. (2017) . Neural Networks Journal (2018) arXiv: 
• Andrea Soltoggio (2014) , 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. 
  

The word cloud of our new review paper: 

Funded projects: 

• Defense Advanced Research Project Agency (DARPA) 2021, $893k. Shared Experience Lifelong Learning (principal investigator)
• Defense Advanced Research Project Agency (DARPA) and US Air Force Research Laboratory, 2018, $680k. (principal investigator)
• Innovate UK. 2017-2018, £107k. Knowledge Transfer Partnership. Deep learning and augmented reality deployment on mobile devices (principal investigator)
• EPSRC 2017-2018, £70k.  (co-investigator)
• EPSRC 2016-2017, £18k. Robotics and autonomous systems for manufacturing and infrastructure management (EPSRC Institutional Sponsorship) (co-investigator) (EP/N508706/1)

 Past projects: 

• Technical co-ordinator of the EU FP7 #248311  (2010-2014), approx. 12 PIs, 30+ full-time researchers.  

I'm a guest editor for Frontiers in Neurorobotics, special issue: .

Reviewer for:

• Adaptive Behavior
• AIMS Neuroscience
• Archives of Pathology and Laboratory Medicine
• Essays in Biochemistry
• Frontiers in Computational Neuroscience
• Frontiers in Psychology
• 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
• Robotics and Autonomous Systems
• Soft Computing

Programme Committee (reviewer) of:

• International Conference on Learning Representations (ICLR)
• 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
• International Conference on Neural Networks (ICONIP 2011)

In June 2018, our work Convolutional neural networks for automated targeted analysis of gas-chromatography mass-spectrometry data was reported by the following:

Press coverage

• BBC Radio Leicester. Lifelong Learning Machines: a DARPA project at 麻豆直播 University (with Jimmy Carpenter, 11/4/2019)
• Nvidia Developer Newsletter: 
• World Economic Forum:
• The Conversation: 
• BBC Radio Leicester. AI can smell illnesses in human breath (19 June 2018)

Outreach activities

• BBC Radio 5 Live, Conversation on AI. With Colin Murray (14/6/2022)
• BBC Radio Leicester, AI to make cars and roads safer. With Jimmy Carpenter (27/9/2021)
• BBC Radio Leicester. AI becomes a job recruiter. With Jimmy Carpenter (26/9/2019)
• BBC Radio Leicester. How AI will change our jobs and lifestyle. With Naomi Kent (12/8/2019)
• BBC Radio Leicester. AI spring. With Jimmy Carpenter (11/4/2019)
• BBC Radio Leicester. AI developments in 2019. With Jimmy Carpenter (16/1/2019)
• BBC Radio Leicester. AI in medicine and surgery. With Ed Stagg (12/9/2018)
• BBC Radio Leicester. Robotics and automation: risks and opportunities in the job market. With Ady Dayman (5/2/2018)
• BBC One (East Midlands Today). The potential impact to East Midlands region of AI innovation. With Amy Harris (27/11/2017)
• BBC Radio Leicester. Chatbots and emotional intelligence. With Ady Dayman (24/11/2017)
• BBC Radio Leicester. AI and chatbots. With Jonathan Lampon (9/8/2017)
• Debating Society Paderborn, (10 July 2016)
• NAO robots at the British Science Week, STEM day (March 2016, March 2017, March 2018)
• BBC Radio Leicester. Interview on robotics with NAO robots (14/9/2015)
• STEM Science Taster Day (22/9/2015)

Administrative roles:

• 2018 Programme director (Computer Science, Computer Science and AI, Computer Science and Mathematics)
• 2016-2018 Post Graduate Taught Tutor (MSc thesis coordination)

Teaching

• Current 2015 - present
  • Advanced Artificial Intelligence Systems (Part C) 
  • Artificial Intellience (MSc) 2019-present
• Past:
  • Managing a project team (Part D)
  • Team projects (Part B) 2015-2018

• Former institutions (Univesity of Birmingham)
  • Research skills (2008)
  • Evolutionary Computation
  • Neural Computation
  • Design and media team
  • Artificial Intelligence and Cognitive Science

Project/thesis supervision (Part C, Part D, MSc): approximately 90 projects since 2014.

• 2018/19 (selected project titles)
  • Trading application with data analysis
  • AI controlled autonomous car network
  • Machine learning for comparing like-parts of song(s) and creating branches between them
  • Deep learning for cryptocurrency market predictions
  • Machine learning based natural language processing chatbot
  • Deep learning for adaptive control systems
  • Convolutional neural networks for image analysis in the biomedical domain
  • Classification of environmental sound events
• 2017/18 (project titles)
  
  • Evolution of deep reinforcement learning
  • Deep learning for adaptive control systems
  • Machine learning in breathomics
  • Deep learning for automated cryptocurrency trading
• older projects:
  • NAO as a robotic personal fitness instructor for children
  • Machine learning for wellbeing analysis
    
  • NAO as a robotic personal fitness instructor
  • Learning costumers intentions through social media
  • Football match prediction using AI

Andrea Soltoggio received a combined BSc and MSc degree 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 麻豆直播 University. 

He is a Fellow of the Higher Education Academy (FHEA).