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计算机科学与技术

Wolfgang Mayer

发布:2024-08-27   来源:    阅读:

Wolfgang Mayer (Associate Professor)

Email: Wolfgang.Mayer@unisa.edu.au

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UniSA STEM - Mawson Lakes Campus (D3-28)

About me: 

 I am passionate about developing novel Artificial Intelligence technologies to help answer important questions in industry, healthcare, engineering, and Defense. My focus is on applied research where domain knowledge combined with data can provide solutions that mainstream “Big Data” and Machine Learning techniques cannot address. My expertise combines state-of-the-art machine learning & data analysis techniques, natural language processing technologies, and the “traditional” logic-based knowledge representation and reasoning techniques used for modelling, configuration, and diagnosis of technical systems.

I have a broad portfolio of applied research collaborations with individual businesses, government, and Defence organisations. My research has helped overcome data silos and provide intelligent tools for Asset Management, Health Care, Oil & Gas and steel industries, Waste Management, Sustainable Development, Transportation, the Government sector, and Defence. I have also developed intelligent tools for configuration and fault diagnosis in software systems, technical systems, and associated business processes.

As a member of the Leadership Group in the Industrial AI Research Centre at UniSA, I am experienced in leading junior researchers and accustomed to collaborating with a variety of stakeholders in industry, government, and research institutions. My strong links with industry and Defence have resulted in a line of successful research projects on data platforms for engineering processes (AutoCRC), asset management (CIEAM CRC and FenEx CRC), scientific data collection (ANDS), health data collection (NECTAR), information management for law enforcement (Data to Decisions CRC), manufacturing (IMCRC), risk management in healthcare (DHCRC), multiple projects in the Defence context (information provenance for network analytics, behavioural simulation models, data-driven simulation processes, network analysis, narrative extraction) and several industry-funded projects related to data-driven optimisation in a variety of application areas. Overall, I have received ~$3.88M project funding in the last 5 years. Moreover, I was a Chief Investigator of 1 ARC Discovery Project grant, led the research directions of 5 postdoctoral fellows, graduated 8 PhD students, and published over 100+ scientific peer-reviewed papers.

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