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Prof. Jian Pei
Duke University, USA
Prof. Micheal Bruenig
University of Queensland, Australia
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Prof. Jian Pei
Duke University, USA
Jian Pei is a Professor at Duke University, holding a joint position among Computer Science, Biostatistics and Bioinformatics, and Electric and Computer Engineering. He is a renowned researcher in data science, big data, data mining, and database systems. He is recognized as a Fellow of the Royal Society of Canada (i.e., the national academy of Canada), the Canadian Academy of Engineering, the Association of Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE). At the same time, he is also renowned for his active and productive professional leadership. Jian Pei is one of the most cited authors in data mining, database systems, and information retrieval. Since 2000, he has published one textbook, two monographs and over 200 research papers in refereed journals and conferences, which have been cited over 100,000 times. His research has generated remarkable impact substantially beyond academia. For example, his algorithms have been adopted by industry in production and popular open source software suites, such as Spark MLlib and WEKA. As an accomplished data scientist, he maintains a wide spectrum of industry relations with both global and local industry partners. He founded the Pacific Blue Cross Health Informatics Laboratory, and is an active consultant for healthcare informatics, business intelligence, network security intelligence and computational finance. In his last 3-year leave-of-absence from the university, he took the executive roles of two Fortune Global 500 companies. He received many prestigious awards, including the 2017 ACM SIGKDD Innovation Award, the 2015 ACM SIGKDD Service Award, and the 2014 IEEE ICDM Research Contributions Award.
Prof. Micheal Bruenig
University of Queensland, Australia
Professor Michael Brünig is the Head of School of Electrical Engineering and Computer Science (EECS) at The University of Queensland (UQ), a role he took over in 2016 but with an interruption from 2019-2021 to lead UQ's Business School.
Prof. Brünig is a strategic thinker, an innovation expert, and an experienced change manager with international experience from Europe, the United States, and Australia. He is passionate about building strong performing teams and has experience in bringing large projects with substantial funding to fruition, igniting entrepreneurial spirit in students and staff, and driving impact from research through partnering, commercialization and spin-off companies.
Before joining UQ, Prof. Brünig worked with the CSIRO. As an executive manager with the organization, he led an initiative to establish a $140m National Research Flagship on Digital Productivity and later guided the business through a merger to create Data61, a national research powerhouse focusing on data innovation. Prof. Brünig started his career in research and development in the automotive industry in Germany and Silicon Valley in the United States after completing his PhD at RWTH Aachen, Germany.
Prof. Brünig is a sought-after expert with respect to research translation. He sits on multiple boards as non-executive director, is technical advisor to start-up companies in Australia and is frequently consulted as a subject matter expert. Within UQ, Prof. Brünig has helped to create UQ Ventures and UQ Innovate, units that foster entrepreneurship among students and academics and provide the creative environment to be successful.
Under Prof. Brünig's leadership, UQ started multiple significant initiatives, including UQ Cyber, the National Industry 4.0 Energy Testlab, the AI Initiative and with partners the QLD Government AI Hub. He is also highly influential in shaping UQ's curriculum. He initiated the Bachelor of Computer Science, the Master of Cyber Security that is modelled using the US National Initiative for Cybersecurity Education framework and UQ's first full online Master of Business Analytics. He also was a key contributor to creating the Graduate Certificate in Clinical Informatics and Digital Health.
Prof. Jian Pei
Duke University, USA
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Prof. Michael Bruenig
University of Queensland
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