Professor Lawrence Cavedon
Associate Dean Data Science & Artificial Intelligence
Details
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College: School of Computing Technologies
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Department: School of Computing Technologies
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Campus: City Campus Australia
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lawrence.cavedon@rmit.edu.au
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ORCID: 0000-0001-7464-857X
Open to
- Masters Research or PhD student supervision
About
Lawrence Cavedon is a Professor in the School of Computing Technologies, and the Associate Dean and Discipline Leads of Data Science and Artificial Intelligence.
Professor Cavedon's career has spanned academia and the IT industry as both researcher and software engineer, leaving him with a strong interest in industry-focused problems. Much of his recent and current research projects are performed in collaboration with industry and domain partners, including SEEK, Elsevier, IBM Research, Real Thing Entertainment, and health organisations Alfred Health, Melbourne Health, Peter MacCallum Cancer Centre, and Telstra Health.
While at Stanford, he collaborated on funded projects with NASA, Bosch Corp, VW America, and Boeing. He has also led software product teams at Verticalnet Inc in Silicon Valley.
Lawrence has worked in the tech industry in both Australia and Silicon Valley in California. In Silicon Valley, he was a Scientist and a Lead Engineer in the Advanced Technologies Group at Verticalnet Inc., the first Business-to-Business technology company to IPO. In Australia, he worked for the Australian Artificial Intelligence Institute, a contract R&D organisation applying AI techniques to industry problems.
Lawrence also collaborates extensively with industry in his research. At NICTA (National ICT Australia, Australia's Centre for ICT Research Excellence), he led projects on the topic of biomedical and health analytics, in collaboration with Alfred Health, Melbourne Health, Barwon Health and the Peter MacCallum Cancer Centre. At Stanford University, he collaborated closely on joint projects with Bosch Corp, VW America, Boeing, and NASA.
At RMIT, he has had research projects with SEEK, IBM Research, Elsevier, Telstra Health, and other companies and organisations.
He also likes to engage industry in his teaching and regularly organises presenters from large corporations (e.g., IBM, Amazon Web Services), mid-sized innovative technology companies (Redbubble, Zendesk), and startups.
Commercial innovation
Led team that developed first commercial Semantic Web Services platform
NSW Engineering Excellence Award (R&D) for Thinking Head project
Stanford CSLI dialogue system commercially licensed by major corporations
Patents
- S Kulkarni, SP Cherumanal, D Spina, M Li, L Cavedon: System and method for automating the training of enterprise customer response systems using a range of dynamic or generic data sets; US Patent 11,037,549
- F. Weng, L. Cavedon, et al: Method and system for interactive conversational dialogue for cognitively overloaded device users; US Patent 7,716,056.
- D. Mirkovic, L. Cavedon: Dialogue management using scripts; US Patent 8,041,570
- D. Mirkovic, L. Cavedon, et al: Dialogue management using scripts and combined confidence scores; US Patent 7,904,297.
- H. Cheng, L. Cavedon, et al: Method and system for adaptive navigation using a driver's route knowledge; US Patent 7,424,363
Professor Cavedon's career has spanned academia and the IT industry as both researcher and software engineer, leaving him with a strong interest in industry-focused problems. Much of his recent and current research projects are performed in collaboration with industry and domain partners, including SEEK, Elsevier, IBM Research, Real Thing Entertainment, and health organisations Alfred Health, Melbourne Health, Peter MacCallum Cancer Centre, and Telstra Health.
While at Stanford, he collaborated on funded projects with NASA, Bosch Corp, VW America, and Boeing. He has also led software product teams at Verticalnet Inc in Silicon Valley.
Lawrence has worked in the tech industry in both Australia and Silicon Valley in California. In Silicon Valley, he was a Scientist and a Lead Engineer in the Advanced Technologies Group at Verticalnet Inc., the first Business-to-Business technology company to IPO. In Australia, he worked for the Australian Artificial Intelligence Institute, a contract R&D organisation applying AI techniques to industry problems.
Lawrence also collaborates extensively with industry in his research. At NICTA (National ICT Australia, Australia's Centre for ICT Research Excellence), he led projects on the topic of biomedical and health analytics, in collaboration with Alfred Health, Melbourne Health, Barwon Health and the Peter MacCallum Cancer Centre. At Stanford University, he collaborated closely on joint projects with Bosch Corp, VW America, Boeing, and NASA.
At RMIT, he has had research projects with SEEK, IBM Research, Elsevier, Telstra Health, and other companies and organisations.
He also likes to engage industry in his teaching and regularly organises presenters from large corporations (e.g., IBM, Amazon Web Services), mid-sized innovative technology companies (Redbubble, Zendesk), and startups.
Commercial innovation
Led team that developed first commercial Semantic Web Services platform
NSW Engineering Excellence Award (R&D) for Thinking Head project
Stanford CSLI dialogue system commercially licensed by major corporations
Patents
- S Kulkarni, SP Cherumanal, D Spina, M Li, L Cavedon: System and method for automating the training of enterprise customer response systems using a range of dynamic or generic data sets; US Patent 11,037,549
- F. Weng, L. Cavedon, et al: Method and system for interactive conversational dialogue for cognitively overloaded device users; US Patent 7,716,056.
- D. Mirkovic, L. Cavedon: Dialogue management using scripts; US Patent 8,041,570
- D. Mirkovic, L. Cavedon, et al: Dialogue management using scripts and combined confidence scores; US Patent 7,904,297.
- H. Cheng, L. Cavedon, et al: Method and system for adaptive navigation using a driver's route knowledge; US Patent 7,424,363
Academic positions
- Appointment
- Stanford University
- Center for the Study of Language and Information
- Stanford, California, United States
- 1 Jan 2002 – 1 Jan 2005
Non-academic positions
- Appointment
- National ICT Australia (NICTA)
- Victoria Research Lab
- Sydney, Australia
- 1 Jan 2005 – 1 Jan 2015
- Appointment
- Verticalnet Inc
- Advanced Technologies Group
- California, United States
- 1 Jan 2000 – 1 Jan 2002
- Appointment
- Australian Artificial Intelligence Institute
- , Australia
- 1 Apr 1987 – 1 Apr 1990
Supervisor projects
- Cross-modal information extraction of chemical knowledge
- 18 Sep 2024
- Computational Protein-Protein Network Development
- 15 Mar 2022
- Learning Numeracy from Text and Application to Clinical Domain
- 17 May 2021
- Recognition of Human Emotion Induced by Visual Contents of Images
- 25 Jun 2019
- Spoken Conversational Search: Audio-only Interactive Information Retrieval
- 22 Jun 2016
- Evaluating Dynamic Search Systems for Interactive Complex Tasks
- 7 Mar 2016
- Continual Deep Learning via Progressive Learning
- 2 Mar 2015
- Using Speech Interfaces to Support Human Task Performance in Complex Training Environments
- 3 Mar 2014
Teaching interests
Supervisor interests
Spoken dialogue and conversational systems health and biomedical text mining and analytics
Key Activities
Lawrence is the Discipline Head for Data Science and Artificial Intelligence in the School of Computing Technologies.
His recent teaching activities have been focused on advanced Software Engineering courses, such as Software Engineering: Process and Tools (COSC2299) and Systems Architecture (ISYS1088/89).
Lawrence has been Chief Investigator on 6 past or current ARC Linkage grants, including 2 as Lead CI, as well as other grants totaling approx. $3million since 2014. He is also a CI on a new ARC Industry Transformational Training Centre in conjunction with UniMelb and IBM Research, on Cognitive Computing for Medical Technologies.
See Lawrence's Google scholar page for a list of his publications.
Spoken dialogue and conversational systems health and biomedical text mining and analytics
Key Activities
Lawrence is the Discipline Head for Data Science and Artificial Intelligence in the School of Computing Technologies.
His recent teaching activities have been focused on advanced Software Engineering courses, such as Software Engineering: Process and Tools (COSC2299) and Systems Architecture (ISYS1088/89).
Lawrence has been Chief Investigator on 6 past or current ARC Linkage grants, including 2 as Lead CI, as well as other grants totaling approx. $3million since 2014. He is also a CI on a new ARC Industry Transformational Training Centre in conjunction with UniMelb and IBM Research, on Cognitive Computing for Medical Technologies.
See Lawrence's Google scholar page for a list of his publications.
Research interests
Artificial Intelligence and Image Processing, Information Systems, Library and Information Studies, Cognitive Science, Computer Software, Other Information and Computing Sciences
His research interests include spoken dialogue and speech interfaces, biomedical and health analytics, and Artificial Intelligence in general.
His research interests include spoken dialogue and speech interfaces, biomedical and health analytics, and Artificial Intelligence in general.
