Ronald D. Pose, Senior Lecturer

PhD, Monash University, 1991

BSc (Hons), Monash University, 1982

 

Expertise and research interests

Dr Pose's current research interests include virtual reality and telerobotics technology, computer architecture, parallel and distributed computer systems architecture, operating systems, reconfigurable computer systems architecture, multiprocessor interconnection networks, wireless adhoc networks and spread spectrum microwave communication technology, computer system security.

Background

Ronald Pose completed his BSc (Hons) degree in 1982 at Monash University. He majored in chemistry and in computer science and did his honours thesis in computer science on performance analysis of the Unix operating system kernel.

His PhD thesis, entitled "A Capability-based Tightly-coupled Multiprocessor", was completed in 1991 under the supervision of Australia's most preeminent computer scientist, Professor C S Wallace. This novel multiprocessor project involved the design and implementation of a novel capability-based operating system kernel, 'Password-Capability System', and the design and construction of tightly-coupled multiprocessor hardware with novel addressing mechanisms to support the Password-Capability System and an innovative high speed interconnect.

In 1987 Ronald Pose was employed as a research scientist at Telecom Australia Research Laboratories in the Access Control and Authentication Section, where he worked on the application of public key cryptography and authentication and certification techniques which could be applied to secure communications required for applications in electronic commerce.

Monash University appointed Ronald Pose to a lectureship in Computer Science in 1988. There he has successfully supervised four research masters students and three PhD students to completion and has been associate supervisor to other research students. A wide variety of research topics have been taken by his research students. These include neural networks for image compression, neural networks for sequential machine recognition, neural networks for sequence prediction modelling, genetic algorithm function optimization, routing in multiprocessor interconnection networks, virtual reality address recalculation pipeline display system, self-reconfigurable computer systems.

One of his PhD students, Matthew Regan, won a best Australian Computer Science PhD award for his thesis on virtual reality display systems and this work also led to a US Patent and a startup company being formed in California to commercialise this Monash technology.

 

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