Xiaoyu Zhang completed his Ph.D. degree recently in power system group, Department of Electronic Engineering, and he will soon took a lectureship of Artifical Intelligence in a Chinese university. He is working to design an advanced smart meter which can implement hybrid trade-off algorithm between sharing (utility) and hiding (privacy) to accommodate both legitimate objectives sharing and hiding, in a fair manner. Xiaoyu’s research interests include smart grid privacy protection, demand-side management, and deep learning.

Before landing in Royal Holloway, Xiaoyu studied at University of Birmingham, where he was awarded Msc with Distinction in Electrical Power System. He also had several internship experiences in State Grid Ltd, China, Datang International Generation Ltd, China, etc.

Xiaoyu’s study is funded by the Leverhulme Trust, The Michael St John Candy Scholarship, and Royal Holloway, University of London.

Award:

Best Paper Award (Frist Prize) in 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference.

Journal/ Conference Reviewer:

(1) Energy Research & Social Science;

(2) IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm);

(3) IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).