Personal Information
Organização/Local de trabalho
Sydney Area, Australia Australia
Cargo
Research Director
Setor
Technology / Software / Internet
Site
liming-zhu.org
Sobre
Dr/Prof Liming Zhu is a Research Director at CSIRO’s Data61 and a conjoint full professor at the University of New South Wales (UNSW). He is the chairperson of Standards Australia’s blockchain and distributed ledger committee and on AI trustworthiness-related committees. His research program innovates in the areas of AI/ML platforms, responsible/ethical AI, software engineering, computational science, blockchain, regulation technology, quantum software, privacy and cybersecurity. He has published more than 300 academic papers on software architecture, dependable systems, data/ML infrastructure, blockchain, governance and responsible AI.
Marcadores
llm
responsible ai
foundation models
devops
genai
ai transformation
ai
cybersecurity
data analytics
cloud
future
trends
software architecture
trust
trustworthy ai
se4ai
ir
regtech
data sharing
emerging tech
data61
australia
software
architecture
machine learning
blockchain
distributed trust
sme
digital twin
big data
provisioning
release engineering
dependability
operation
performance management
capacity planning
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Apresentações
(25)Gostaram
(3)Platforms: How Change in Industry is Driving Change in Strategy
Marshall Van Alstyne
•
Há 8 anos
Known Unknowns: Testing in the Presence of Uncertainty (talk at ACM SIGSOFT FSE 2014 Visions & Challenges Track)
David Rosenblum
•
Há 9 anos
Probability and Uncertainty in Software Engineering (keynote talk at NASAC 2013)
David Rosenblum
•
Há 10 anos
Personal Information
Organização/Local de trabalho
Sydney Area, Australia Australia
Cargo
Research Director
Setor
Technology / Software / Internet
Site
liming-zhu.org
Sobre
Dr/Prof Liming Zhu is a Research Director at CSIRO’s Data61 and a conjoint full professor at the University of New South Wales (UNSW). He is the chairperson of Standards Australia’s blockchain and distributed ledger committee and on AI trustworthiness-related committees. His research program innovates in the areas of AI/ML platforms, responsible/ethical AI, software engineering, computational science, blockchain, regulation technology, quantum software, privacy and cybersecurity. He has published more than 300 academic papers on software architecture, dependable systems, data/ML infrastructure, blockchain, governance and responsible AI.
Marcadores
llm
responsible ai
foundation models
devops
genai
ai transformation
ai
cybersecurity
data analytics
cloud
future
trends
software architecture
trust
trustworthy ai
se4ai
ir
regtech
data sharing
emerging tech
data61
australia
software
architecture
machine learning
blockchain
distributed trust
sme
digital twin
big data
provisioning
release engineering
dependability
operation
performance management
capacity planning
Ver mais