A/Prof Kee Siong Ng
I am a (part-time) Associate Professor in ANU's newly formed Software Innovation
Institute (SII) and one of the first two Translational Fellows appointed through ANU's
Entrepreneurial Academic Scheme.
I have more than 15 years of post-PhD experience in multiple domains,
including government, financial services, retail, telco, energy, and
manufacturing. I have consulted for many large enterprises in
Asia-Pacific-Japan and act as a trusted advisor for many industry colleagues.
I maintain a blog
I lead the Data Science for Public Good (DS PuG) team at ANU. Here are
some of the people associated with the team:
These non-technical articles describe our current focus pretty well
- Dr Alex
Antic, Senior Lecturer, SII
- Dr Alex
Mathews, Research Fellow, SII
- Yang Li (Kelvin), Research Fellow, SII
- Dr Dawei Chen, Research Engineer, SII
- Kieran Ricardo, Research Engineer,
- Emeritus Professor John
- Tianyu Wang, PhD student
- Samuel Yang-Zhao, PhD student
A more complete list
- Scalable Entity
Resolution Using Probabilistic Signatures on Parallel Databases
Y. Zhang, K.S. Ng, T. Churchill, P. Christen, CIKM, 2018.
- Exploiting Redundancy,
Recurrence and Parallelism: How to Link Millions of Addresses with
Ten Lines of Code in Ten Minutes
Y. Zhang, T. Churchill,
K.S. Ng, AusDM, 2017
on Sentences in an Expressive Logic
M. Hutter, J.W. Lloyd,
K.S. Ng, W. Uther, Journal of Applied Logic,
MADlib Analytics Library or MAD Skills, the SQL
et al, VLDB 2012.
- Context Tree
J. Veness, K.S. Ng, M. Hutter, M. Bowling, IEEE Data Compression Conference, 2012
Monte Carlo AIXI Approximation
J. Veness, K.S. Ng, M. Hutter,
W. Uther, D. Silver, JAIR, 2011. (Honorable Mention for 2014 IJCAI-JAIR Best Paper Prize)
Programming for Agent Applications
J.W. Lloyd, K.S. Ng, JAAMAS, 2011.
Modelling, Inference and Learning using Logical Theories
K.S. Ng, J.W. Lloyd, W. Uther, AMAI, 2008
- A Simple Explanation of Partial Least
K.S. Ng, Tech Report, 2013
I was a committer for the
open-source Apache MADlib project,
which seeks to foster innovation in large-scale in-database analytics.
Download the latest version of Alkemy.
(Escher is now incorported into Alkemy.)
Download the latest version of
Escher. See also
entry on Escher.
Bach is a work-in-progress, but a
version of the system is available for experimentation on request.
Here's the literate program An Implementation of Bach.