CSIRO’s Julius Career Awards – Dr Philip Valencia
Congratulations to Dr. Philip Valencia from the Distributed Sensing Systems Group at CSIRO’s Data61 for receiving the prestigious CSIRO Julius Career Award.
Philip was one of 15 from all of CSIRO staff awarded a CSIRO Julius Career Award and one of two recipients from Data61 Business Unit in the 2020 round.
The award supports 4-years of funding to enhance the careers of exceptional early to mid-career scientists. The aim is to develop and retain outstanding early to mid-career scientists with a view of enhancing science quality, and to reinforce a culture of scientific excellence.
Philip plans to use the funds to enhance his science and technology leadership through external secondments in overseas world-leading research facilities and industry partners.
The Award will strengthen Philip’s leadership and professional development in science and technology and promote CSIRO and Data61 brands internationally.
The awards offers excellent opportunities for Philip to collaborate with internationally renowned experts in embedded machine learning research (Google TensorFlow Lite Micro team and Oxford’s Cyber Physical Systems Group).
The potential impact of embedded intelligence offers a future where devices not only communicate and share information with each other, but can also express their intent and coordinate with other devices/robots to achieve their goals of fulfilling the human-given intentions for the system.
About Dr Philip Valencia
Dr Philip Valencia is the Embedded Intelligence Team Leader at CSIRO’s Data61 Cyber Physical Systems Program, Brisbane, Australia. He has extensive experience in developing low power platforms and logic for both scientific and commercial solutions that require real-time tracking, physiological and behavioural sensing, embedded classification and automated regulation technology.
He has been a key contributor to numerous projects including recent commercial outcomes of BLE-based asset localisation (Ynomia) and next generation cattle ear tags with direct satellite communications (Ceres Tag).
Philip has coauthored seven patents generating significant market capital (>$50M) and has been closely involved with the successful commercialisation of various technologies to four Australian companies.
He holds degrees (QUT) in Engineering (Electronic) and IT (Computer Science) and received his PhD (UQ) for “In situ Distributed Genetic Programming: An Online Learning Framework for Resource Constrained Networked Devices”.
He is UQ Honorary Lecturer and supervises students on a regular basis. His publications include four book chapters, 50+ peer reviewed publications, 2500+ citations, and a h-index of 20 and i10-index of 31 (Google Scholar) and a recent Nature: Machine Intelligence publication. He is a recipient of the CSIRO Julius Career Award (2020), CSIRO Entrepreneurship Award (2019) and CSIRO Environmental Achievement Medal (2011).
Philip currently coordinates various (multi-million dollar) projects through his leadership roles towards achieving embedded intelligence, trust and provenance for supply chains, construction and aerospace industries, and agricultural and ecological sciences.
His current research aims to architect a framework that unifies embedded machine learning, edge computing, blockchain and trust technologies, robotics and regulation technology for a system that demonstrates a distributed digital intelligence to support and augment human capabilities.
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