Arthur is pursuing Bachelor of Engineering (Research and Development) (Honours) in Electronic and Communication Systems from School of Engineering, The Australian National University (ANU) and expect to graduate in Jun 2025.

His research interests are decision intelligence systems in communication systems and optical/photonic communication modules in semiconductor industry. He has particular interest in large-scale multi-GPU communication recently. He is currently a member of NEMS (Nano Electro-Mechanical Systems) Lab under the supervision of Prof. Yuerui Lu.

Feel free to contact me via email: arthur.zhao@anu.edu.au.

News

Research Experiences

Nano-Electro-Mechanical System (NEMS) Lab, ANU

[1] Fabrication of 2D heterostructures with precise twist angle alignment (Ongoing)

[2] Simulation of the optical properties and fabrication of qBIC metasurface (Ongoing)

ANU-Optus Bushfire Research Centre of Excellence

[3] Bushfire detection using environmental monitoring sensing and deep anomaly detection approach.

  • Accepted by ANU Student Research Conference and selected for oral presentation.

[4] Quantitative Verification of Gas Sensors in Volcano Monitoring Wireless Sensor Networks (WSN)

Honors & Awards

Educations

Teaching & Services

Experiences

  • 02/2024 - Present, Undergraduate Research Student, NEMS Lab, Australian National Univerisity, Canberra, Australia.

    Supervisor: Prof. Yuerui Lu

  • 06/2024 - 07/2024, Study Australia Industry Experience Program, Australian Government, Remote. [Certificate]

  • 11/2023 - 02/2024, Network Department Internship, China Mobile Group Jiangsu Co. LTD Nanjing Branch, Nanjing, China.

    Experience accredited by ANU Engineering degree Practical Experience requirement.

  • 02/2023 - 11/2023, Undergraduate Research Student, ANU-Optus Bushfire Research Centre of Excellence, Australian National Univerisity, Canberra, Australia.

    Supervisor: Prof. Xiangyun Zhou and Prof. Salman Durrani

  • 05/2023 - 07/2023, Summer Workshop, School of Computing, National University of Singapore, Singapore

    Track: Deep learning and robotics