World leading expertise recognised

The Global Big Data Technologies Centre (GBDTC) has performed exceptionally well across the two lists for career-long list and single year impact, highlighting the Centre’s world leading expertise across a variety of disciplines. Twelve researchers have been named on the Stanford/Elsevier 2025 list of world leading scientists.

Career-long recognition

  • Prof. Mehran Abolhasan, Networking & Telecommunications; Artificial Intelligence & Image Processing; Information & Communication Technologies 
  • A/Prof. Hoang Dinh, Networking & Telecommunications; Artificial Intelligence & Image Processing; Information & Communication Technologies
  • Prof. Eryk Dutkiewicz, Networking & Telecommunications; Artificial Intelligence & Image Processing; Information & Communication Technologies
  • Dist. Prof. Jay Guo,  Networking & Telecommunications; Electrical & Electronic Engineering; Information & Communication Technologies
  • Prof. Xiaojing Huang, Networking & Telecommunications; Geological & Geomatics Engineering; Information & Communication Technologies
  • Prof. Massimo Piccardi, Artificial Intelligence & Image Processing ; Networking & Telecommunications; Information & Communication Technologies
  • A/Prof. Peiyuan Qin, Networking & Telecommunications, Electrical & Electronic Engineering, Information & Communication Technologies
  • Prof. Darryl Veitch, Networking & Telecommunications   ; Statistics & Probability;  Information & Communication Technologies
  • Prof. Qiang Wu, Artificial Intelligence & Image Processing; Networking & Telecommunications; Information & Communication Technologies
  • Prof. Andrew Zhang, Networking & Telecommunications; Electrical & Electronic Engineering; Information & Communication Technologies

Single year impact

Congratulations to our world class academic researchers on this outstanding achievement.

  • Prof. Mehran Abolhasan, Networking & Telecommunications; Artificial Intelligence & Image Processing; Information & Communication Technologies
  • A/Prof. Hoang Dinh, Networking & Telecommunications; Artificial Intelligence & Image Processing; Information & Communication Technologies
  • Prof. Eryk Dutkiewicz, Networking & Telecommunications; Artificial Intelligence & Image Processing; Information & Communication Technologies
  • Dist. Prof. Jay Guo, Networking & Telecommunications; Electrical & Electronic Engineering; Information & Communication Technologies
  • Prof. Xiaojing Huang, Networking & Telecommunications; Geological & Geomatics Engineering; Information & Communication Technologies
  • Prof. Massimo Piccardi, Artificial Intelligence & Image Processing ; Networking & Telecommunications; Information & Communication Technologies
  • A/Prof. Peiyuan Qin, Networking & Telecommunications, Electrical & Electronic Engineering, Information & Communication Technologies
  • Prof. Qiang Wu, Artificial Intelligence & Image Processing; Networking & Telecommunications; Information & Communication Technologies
  • Dr Kai Wu, Networking & Telecommunications, Analytical Chemistry, Information & Communication Technologies
  • Prof. Min Xu, Artificial Intelligence & Image Processing, Networking & Telecommunication, Information & Communication Technologies
  • Prof. Andrew Zhang, Networking & Telecommunications; Electrical & Electronic Engineering; Information & Communication Technologies

About the GBDTC

The Global Big Data Technologies Centre (GBDTC) is an international centre of excellence for the development of enabling technologies for big data science and analytics, working closely with industry and communities to deliver real-world impact. It leads the world in research on 6G technologies, integrated sensing and communications (ISAC), Digital Twin, IoT and multibeam antennas. 

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Find a researcher

World leading expertise in enabling technologies for big data science and analytics. 

The performance of our researchers shows the expertise embodied in the GBDTC, once again demonstrating that UTS is a world leader in technologies that enable the critical fields of Big Data and analytics. 

Find a researcher See the dataset

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