Who We Are

The Neural Networks Technical Committee (NNTC) is established to promote the research, development, education, and understanding of neural networks, including both artificial and biologically plausible neural networks.

What We Do

The NNTC engages in various activities to promote neural networks as a viable technology, including but not limited to the following:

• Identify and promote new areas of research
• Propose special sessions to the CIS-sponsored conference organizers
• Participate in paper review and selection for CIS-sponsored conferences and publications
• Coordinate with the International Neural Network Society for the International Joint Conference on Neural Networks
• Recommend candidates to the Awards Committee for the CIS Neural Networks Pioneer Award and the Technical Field Award
• Nominate papers for Best Paper Awards to the Awards Committee from papers published in the Transactions on Neural Networks
• Promote IEEE Senior Members and Fellows program
• Collaborate on production of tutorials and book series with the Multimedia Committee
• Maintain the Committee website
• Facilitate local chapters activities an organize specialized workshops or meetings
• Assist in soliciting conference proposals and actively work with the organizers of CIS-sponsored conferences to insure their technical excellence.

Committee Membership

• Davide Bacciu, Chair 
• Kai (Alex) Quin and Barbara Hammer, Vice Chairs

Current directory of Chairs and members - Neural Networks Technical Committee Members

NNTC members are appointed to serve one year term. Reappointment is allowed.

Chair is appointed by CIS President.  2 Vice Chairs are appointed by Chair and endorsed by CIS VP of Technical Activities.  TC Members are appointed by Chair and endorsed by CIS VP of Technical Activities.  (Number of members varies, typically less than 20)

If you are interested in being considered for a position on one of our Technical Committees, please send an email to cis-info@ieee.org with a link to your CV.

Task Forces

The committee has established the Task Forces below to focus on specific activities within the Committee:

• Autonomous Learning Systems
  • Chair: José Antonio Iglesias Martínez
  • Vice-Chair: Plamen Angelov
• Complex-valued Neural Networks (CVNN)
  • Chair: Danilo P. Mandic
  • Vice-Chairs: Igor Aizenberg and Akira Hirose
• Deep Learning
  • Chair: Plamen Angelov
  • Vice-Chairs: Jose C. Principe and Alessandro Sperduti
• Hybrid Intelligent Systems
  • Chair: Eduardo Gomez-Ramirez
  • Vice-Chair: Patricia Melin
• Learning for Structured Data
  • Chair: Davide Bacciu
  • Vice Chairs: Filippo Maria Bianchi and Lorenzo Livi
• Secure Learning
  • Chair: Simon See
  • Vice Chairs: Catherine Huang and Yaochu Jin
• Randomization-Based Neural Networks and Learning Systems
  • Chair: Massimo Panella
  • Vice Chairs: Ponnuthurai Nagaratnam Suganthan and Claudio Gallicchio
• Deep Edge Intelligence
  • Chair: Hai Dong
  • Vice-Chairs: Qi Yu and Kai (Alex) Qin
• Deep Vision in Space
  • Chair: Kai (Alex) Qin
  • Vice-Chair: Yuan-Sen Ting