Academic Profile

Academic Profile

Asst Prof Zhao Jun

Assistant Professor, School of Computer Science and Engineering

Email: junzhao@ntu.edu.sg
Asst Prof Zhao Jun

Biography
Jun Zhao is an Assistant Professor in the School of Computer Science and Engineering (SCSE) at Nanyang Technological University (NTU). He received a PhD degree in Electrical and Computer Engineering from Carnegie Mellon University (CMU), Pittsburgh, PA, USA in May 2015, and a bachelor's degree in Information Engineering from Shanghai Jiao Tong University, China in June 2010. One of his papers was a finalist for the best student paper award in IEEE International Symposium on Information Theory (ISIT) 2014. His research interests include the following:
• Communications & Networks (intelligent surfaces, 6G, edge/fog computing, wireless, IoT, CPS, graphs)
• Security (blockchains, adversarial machine learning, differential privacy, applied cryptography)
• Artificial Intelligence, AI (adversarial machine learning, privacy-preserving machine/deep/federated learning)

Prospective PhD students, postdocs, and visiting students/researchers can email JunZhao@NTU.edu.sg or add Wechat request at http://www.ntu.edu.sg/home/junzhao/wechat.png

Applicants to PhD/master programs who are strong in mathematics even without much knowledge in computer science or electronic/electrical engineering are encouraged to contact Jun Zhao.
Research Interests
• Communications & Networks (intelligent surfaces, 6G, edge/fog computing, wireless, IoT, CPS, graphs)
• Security (blockchains, adversarial machine learning, differential privacy, applied cryptography)
• Artificial Intelligence, AI (adversarial machine learning, privacy-preserving machine/deep/federated learning)
Current Projects
  • Advancing Privacy-Preserving Machine Learning in Theory and Applications
  • Blockchain Theory and Practice: Security, Scalability and Novel Applications
  • Collecting and Analyzing Data from Users with Strong Privacy Protection
Selected Publications
  • Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, and Ge Yu. (2019). Collecting and analyzing multidimensional data with local differential privacy. IEEE 35th Annual International Conference on Data Engineering (ICDE).
  • Jun Zhao. (2018). Analyzing the robustness of deep learning against adversarial examples. IEEE Allerton Conference on Communication, Control, and Computing (Allerton).
  • Jun Zhao. (2018). Transitional behavior of q-composite random key graphs with applications to networked control. IEEE Transactions on Control of Network Systems, .
  • Jun Zhao. (2018). On secure communication in sensor networks under q-composite key predistribution with unreliable links. IEEE Transactions on Communications, .
  • Jun Zhao. (2018). Analyzing connectivity of heterogeneous secure sensor networks. IEEE Transactions on Control of Network Systems, 5(1), 618-628.

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