My Work

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My Work

As an entrepreneurial technical professional I have supported a number of successful technology start-up ventures. I was a founder of Aria Networks, Applied Insilico and Darwinian Neural Network Industries. I previously held key roles at Movaz Networks, Redback Networks, Cisco Systems and Bell Labs.

My career history includes development and commercialisation of artificial intelligence technologies and development of Internet Standards. I hold patents in machine learning and evolutionary computing. I co-authored RFC4687 that defines the OAM requirements for Point-to-multipoint MPLS, and am a co-author of several IETF Internet-Drafts related to path computation and network optimization.

I have listed, where possible and if already in the public domain, my most recent work items. These are split into various categories listed below.

Daniel King Presentations ( 4 Articles )

My most recent presentations covering a variety of network planning and network operation technologies and strategies. Topics include path computation, traffic engineering, network optmisation and network visulization.
Daniel King Internet Standards ( 7 Articles )

The Internet Engineering Task Force (IETF) is a large open international community of network designers, operators, vendors, and researchers concerned with the evolution of the Internet architecture and the smooth operation of the Internet. I have been initiating and collaborating on a variety of IETF technologies, specifications and standards over the last few years.
Daniel King Journals & Papers ( 1 Article )
A selection of my journals and white papers that have have been published or circulated in the public domain.
Daniel King Inventions ( 1 Article )

These inventions relate to distributed evolutionary algorithms and artificial neural networks, and in particular, a three dimensional temporal spiking neural network. This work was undertaken with Dr Jay Perrett at DNNI, the company we jointly founded to commercialise Dr Perrett's initial Darwinian Artificial Neural Network concept. You will need to log-in to see the invention articles.