Seeking Collaborations for Quantum Machine Learning on Real Quantum Chips!

We are eager to collaborate with teams who can provide access to quantum computing hardware for testing and running our quantum machine learning models. If you have quantum computing resources, let’s explore innovative research opportunities together!

Quantum Machine Learning Online

A quantum machine learning-based online tool for pancreatic cancer prognostic prediction.

A pre-trained Quantum Circuit by clinical data!

Try it out Classical machine learning version

Preliminary results for internal test only! Other use is not permitted!

Zeheng Wang

Zeheng Wang

CERC Fellow of Quantum Artificial Intelligence @CSIRO

CSIRO

Biography

Zeheng is currently a CERC Fellow of CSIRO, appointed through the Impossible Without You campaign. He earned his PhD in Si quantum computing devices from CQC2T, UNSW, and also has significant experience in III-V semiconductor devices, semiconductor physics and modeling, machine learning, and TCAD simulations. Zeheng has published over 50 scientific papers in top-tier venues, including Nature, Advanced Materials (cover article), Advanced Science (cover articles), Energy & Environmental Science, IEEE Electron Device Letters, and IEEE Transactions on Electron Devices, as well as flagship conferences such as IEEE IEDM and IEEE ISPSD.

Zeheng’s expertise is recognized by his service as an editorial position for PLos ONE (IF3.2), Discovery Applied Science (Springer Nature, IF2.2), Micromachines (IF3.5), Materials (IF3.4) and Applied Research (Wiley). He is also an active reviewer for many leading journals published by Wiley, Springer, Elsevier, IEEE, IET, IEICE, and IOP.

Zeheng’s current research interests include quantum artificial intelligence, semiconductor devices, and artificial intelligence for electronics.

Looking for a dedicated team member for your department, university, or organization? 👇👇👇

I am actively seeking a tenure-track or tenured-equivalent Level B/C position (Lecturer/Senior Lecturer/Assistant Professor). Feel free to reach out if a conversation could be mutually beneficial.

I would also welcome any opportunity for sponsorship in applying for research grants, such as DECRA or the Talented Young Scientist Program.

Interests
  • Quantum machine learning
  • Artificial intelligence for electronics
  • Semiconductor devices
Education
  • PhD in Quantum Computing, 2022

    The University of New South Wales (UNSW)

  • Mphil in IC Engineering, 2017

  • BEng(Hons) in Microelectronics, 2014

Academic­Engagements

Leading Guest Editor
Topic: Latest Advancements in Semiconductor Materials, Devices, and Systems
Topical Advisory Panel
Topic: Quantum Materials
Invited Peer Reviewer

Invited reviewer for more than 20 SCI-index journals, including

  • Science China-Information Sciences (IF 8.8),
  • Computers in Biology and Medicine (IF 7.7),
  • Journal of Ethnopharmacology (IF 5.2),
  • Nanotechnology (IF 4.0),
  • Journal of Physics D-Applied Physics (IF 3.4),
  • IEEE Transactions on Electron Devices (IF 3.1),
  • Semiconductor Science and Technology (IF 2.0),
  • etc.

Contact

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  • zeheng.wang@ieee.org
  • Manufacturing Lab, West Lindfield, NSW 2070
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  • Normal working hours