Dr. Cong Zhao has joint the AESE group at Imperial College London as a research associate in Jan 2018. He received his PhD in computer science and technology from Xi’an Jiaotong University (XJTU) in 2017. Affiliated to the joint program of “Data Centric Engineering” (The Alan Turing Institute with the Lloyd’s Register Foundation), he is concentrating on Data-Driven solutions based on Edge Intelligence to accurate, adaptive and sustainable operations in emerging IoT applications in fields like precision farming, smart manufacturing and urban sensing. His research interests include meta learning, edge intelligence, stochastic optimization and computing economics.
- Zhao, S. Yang, P. Yan, et. al., Data Quality Guarantee for Credible Caching Device Selection in Mobile Crowdsensing Systems, in IEEE Wireless Communications, 25(3): 58-64, 2018.
- Zhao, S. Yang, X. Yang, et. al., Rapid, User-transparent, and Trustworthy Device Pairing for D2D-enabled Mobile Crowdsourcing, in IEEE Transactions on Mobile Computing, 16(7): 2008-2022, 2017.