SNN and NMS Workshop WCCI2020

WCCI Workshop Proposal

“Design, Implementation and Applications of Spiking Neural Networks and Neuromorphic Systems ”

Organizers:

Nikola Kasabov (Auckland University of Technology, FIEEE, nkasabov@aut.ac.nz) – Contact person
Steve Furber (University of Manchester, UK, FIEEE, steve.furber@manchester.ac.uk)

Co-organisers:

Giacomo Indiveri (University of Zurich and ETH Zurich, Switzerland, giacomo@ini.uzh.ch)
Zeng-Guang Hou, FIEEE, (China Academy of Sciences Institute of Automation, China, zengguang.hou@ia.ac.cn)
Liam Maguire, Liam McDaid and Jim Harkin  (University of Ulster, UK, lp.maguire@ulster.ac.uk;  lj.mcdaid@ulster.ac.uk; jg.harkin@ulster.ac.uk)
Jie Yang (Shanghai Jiao-Tong University, China, jieyang@sjtu.edu.cn)
Chrisina Jayne (Teesside University, UK, chrisina.jayne@gmail.com)
Petia Koprinkova (Bulgarian Academy of Sciences, pkoprinkova@yahoo.com)
Mufti Mahmud and Alex Sumich (Nottingham Trent University, mufti.mahmud@ntu.ac.uk; alexander.sumich@ntu.ac.uk)
Javier Del Ser (Tecnalia Research & Innovation, Spain, javier.delser@tecnalia.com)

Description of the workshop:

Spiking neural networks (SNN) and neuromorphic systems (NMS)  represent the third generation of neural networks, but more importantly they are considered to be the next generation of information processing systems.
This Workshop will cover for the first time all aspects of methods, systems, implementations and applications of SNN and NMS, including, but not restricted to the following topics:

  • Biological neuronal models;
  • Brain-inspired information encoding;
  • SNN computational models;
  • SNN system design;
  • On-line learning in SNN;
  • Deep learning in SNN;
  • Design of NMS;
  • SNN hardware implementations for acceleration;
  • NMS hardware implementations;
  • Software development systems for SNN and NMS;
  • Cloud-based implementations;
  • Evolutionary and quantum optimisation of SNN;
  • Quantum SNN;
  • Explainability in SNN;
  • Knowledge extraction from SNN and NMS;
  • Fuzzy SNN;
  • SNN and NMS for Brain-Computer Interfaces (BCI)
  • Applications for spatio-temporal brain data (EEG, fMRI, DTI);
  • Modelling the human brain with SNN and NMS;
  • Applications for health risk prediction, such as stroke, AD, dementia, depression and other;
  • Applications for intelligent, brain-like robots;
  • Applications for neurorehabilitation robotics;
  • Applications for Internet-of-things including environmental hazards prediction;
  • Applications for Autonomous vehicles;
  • Other emerging applications.

Motivation for why an IEEE WCCI workshop on this topic is needed:

There is increasing research and development along with a significant number of practical applications of SNN and NMS across subject and domain areas, and this will be the first WCCI workshop to address all these issues in their integration.

Description of target audience and estimated number of participants

All participants of the WCCI 2020 are invited to attend, including both researchers and practitioners who are already developing SNN and NMS and novices who wish to learn more about the subject for their future work. Expected are about 100 participants.

Workshop duration, format, activities, and schedule

The workshop is planned for 4 hours, including the following events:

  • A panel presentation and discussion by panellists/invited speakers;
  • Short presentations of abstracts describing the posters submitted;
  • Open floor discussions;
  • Poster presentations and discussions.

The abstracts of posters will be published in the workshop abstract proceedings before the conference. Full papers can be submitted after the workshop to special issues of journals, to be announced later. 


List of committed program committee members

Nikola Kasabov (AUT,NZ, Chair, nkasabov@aut.ac.nz)
David Lester (UM, UK, Co-chair, david.r.lester@manchester.ac.uk)
Maryam Doborjeh (AUT, NZ, Co-chair, mdoborjeh@aut.ac.nz)
Oliver Rhodes (UM, UK, oliver.rhodes@manchester.ac.uk)
Andrew Gait (UM, UK, andrew.gait@manchester.ac.uk),
Gi hyun Lim (UM, UK, gihyun.lim@manchester.ac.uk),
Sara Summerton
Akshay Gollahalli (akshay.gollahalli@aut.ac.nz)
Piotr Maciag (Technical University of Warsaw, Poland, piotr.maciag@pw.edu.pl)
Jesús Lopez Lobo and Javier Del Ser (Tecnalia Research & Innovation, Spain, javier.delser@tecnalia.com)
Eigner György ( Obuda University, Budapest, Hungary, eignergyorgy@googlemail.com )
Petro Balint (University of Technology and Economics, Budapest, Hungary, petro.balint@gmail.com)
David Parry (AUT, NZ, dave.parry@aut.ac.nz)
Ajit Narayanan (AUT, NZ, ajit.narayanan@aut.ac.nz)
Zohreh Doborheh (AUT,NZ, Zohreh.doborjeh@aut.ac.nz
Alex Sumich (NTU, UK, alexander.sumich@ntu.ac.uk)

Preliminary list of invited speakers -panellists

Steve Furber  
Giacomo Indiveri
Zeng-Guang Hou
Jim Harkin
Jie Yang
Petia Koprinkova
Javier Del Ser

Short biographical sketch for each organizer, describing relevant qualifications and experience Organisers:

Prof. Nikola Kasabov (Auckland University of Technology, FIEEE, FRSNZ nkasabov@aut.ac.nz) is Founding Director of the Knowledge Engineering and Discovery Research Institute (KEDRI) at Auckland University of Technology (AUT), New Zealand. He is Immediate Past President of the Asia-Pacific Neural Network Society (APNNS) and Past President of INNS.  He has published more than 600 papers and books and is the leading researcher on several international projects in  the areas of computational intelligence, neural networks, neuroinformatics. He is Visiting/Honorary Professor at SJTU and CASIA China, RGU and Teesside University UK, UZH/ETH Zurich and USI Lugano. He holds Doctor Honoris Causa of Obuda University, Hungary.

Prof. Steve Furber (University of Manchester, FIEEE, FRS, steve.furber@manchester.ac.uk) is ICL Professor of Computer Engineering in the School of Computer Science at the University of Manchester, UK. After completing his education at the University of Cambridge (BA, MA, MMath, Ph.D.), he spent the 1980s at Acorn Computers, where he was a principal designer of the BBC Micro and the ARM 32-bit RISC microprocessor. As of 2018, over 120 billion variants of the ARM processor have been manufactured, powering much of the world’s mobile computing and embedded systems. He pioneered the development of SpiNNaker, a neuromorphic computer architecture that enables the implementation of massively parallel spiking neural network systems with a wide range of applications.
Co-organisers:

Prof. Giacomo Indiveri (University of Zurich and ETH Zurich, Switzerland, giacomo@ini.uzh.ch) is the director of the Institute of Neuroinformatics (INI), and Professor at the University of Zurich and ETH Zurich, Switzerland. Indiveri was awarded an ERC starting grant in 2011, and an ERC consolidator grant in 2017. Engineer by training, Indiveri has also expertise in neuroscience, computer science, and machine learning. His research focuses on the development of full custom hardware implementation of real-time sensory-motor and learning systems using analog/digital neuromorphic circuits and emerging VLSI technologies. His group uses these neuromorphic circuits to validate brain inspired computational paradigms in real-world scenarios, and to develop a new generation of fault-tolerant event-based neuromorphic computing technologies.

Prof. Zeng-Guang Hou, FIEEE, (China Academy of Sciences Institute of Automation, China, zengguang.hou@ia.ac.cn) is a Professor & Deputy Director of the State Key Lab of Management and Control for Complex Systems at Institute of Automation, Chinese Academy of Sciences (CASIA). He has led several projects on using neural networks for neurorehabilitation robotics.  Prof. Hou is member of the Board of Governors of INNS and the Governing Board of APNNS.

Prof. Liam Maguire, Liam McDaid and Jim Harkin  (University of Ulster, UK, lp.maguire@ulster.ac.uk;  lj.mcdaid@ulster.ac.uk; jg.harkin@ulster.ac.uk) are leaders in the Center for Computational Intelligence of the University of Ulster, UK. Prof. Liam Maguire is also Executive Dean of the Faculty of Engineering and Computer Science.

Prof. Jie Yang (Shanghai Jiao-Tong University, China, jieyang@sjtu.edu.cn) is Director of a Laboratory for Computational Intelligence and Image processing, leading large projects in the biomedical area.

Prof. Chrisina Jayne (Teesside University, UK,   chrisina.jayne@gmail.com) is the Dean of the School of Engineering at Teesside University, UK. She is a member of Board of Governors of the INNS and has led several projects on theoretical aspects of neural networks and their applications.

Prof. Petia Koprinkova-Hristova (Bulgarian Academy of Sciences, pkoprinkova@yahoo.com) is a leader of a team working on brain modelling via SNNs at the Institute for Information Technologies at the Bulgarian Academy of Sciences.
Dr Mufti Mahmud (Nottingham Trent University, mufti.mahmud@ntu.ac.uk) is with the School of  Science and technology at the Nottingham Trent University. He is the programme chair of the WCCI 2020.

Prof. Alex Sumich (Nottingham Trent University, alexander.sumich@ntu.ac.uk) has an Associate Professorship with the NTU and Adjunct Professorship at AUT. His main research is in the area of EEG data modelling for understanding of brain functions and cognitive states.

Dr Javier Del Ser received his first PhD degree (cum laude) in Electrical Engineering from the University of Navarra (Spain) in 2006, and a second PhD degree (Summa Cum Laude, extraordinary PhD prize) in Computational Intelligence from the University of Alcala (Spain) in 2013. He is currently a Research Professor in Artificial Intelligence and leading scientist at TECNALIA RESEARCH & INNOVATION  (www.tecnalia.com/en). He is also an adjunct professor at the University of the Basque Country (UPV/ EHU), an invited research fellow at the Basque Center for Applied Mathematics (BCAM), an a senior AI advisor at the technological startup SHERPA.AI. He is also the director of the TECNALIA and Chair in Artificial Intelligence in the University of Granada (Spain).

Publications

One page abstracts for poster presentation at the Workshop can be submitted to the Program Chairs at any time before  30 April.
Acceptance will be confirmed within a week after the submission.  Proceedings of the Workshop abstracts will be published and distributed at the Workshop.
Full papers can be submitted after the conference to a special issue of the Springer journal Evolving Systems and to a volume of the  Springer Series of Bio- and Neuro systems.
Further information related to publications will be distributed at the Workshop.