Chong Yu is an Associate Professor and a Ph.D./Master's Supervisor at the National Frontier Science Center for Industrial Intelligence and Systems Optimization. She received her Ph.D. degree in Electrical and Computer Engineering from the University of Nebraska - Lincoln, USA, in 2023. From 2023 to 2026, she served as an Assistant Professor in the Department of Computer Science at the University of Cincinnati, USA. Her research interests include trustworthy artificial intelligence, cybersecurity, intelligent communications and networking, medical artificial intelligence, and intelligent autonomous systems. Her research focuses on developing theories and methods for secure, reliable, and efficient artificial intelligence and communication networks, and advancing their innovative applications in key areas such as cybersecurity, smart healthcare, the Internet of Vehicles, and autonomous driving. She has published more than 30 papers in leading international journals and conferences, including IEEE Transactions on Neural Networks and Learning Systems, IEEE Internet of Things Journal, IEEE Transactions on Services Computing, IEEE Transactions on Information Forensics and Security, IEEE International Conference on Communications (ICC), and IEEE Wireless Communications and Networking Conference (WCNC).

Email: yuchong@mail.neu.edu.cn

Hiring

We are seeking self-motivated students who are passionate about research to join our group. Current research topics include, but are not limited to:

• Trustworthy Artificial Intelligence

• Federated Learning and Privacy-Preserving Computing

• Cybersecurity

• Intelligent Communications and Networking

  Medical Artificial Intelligence

• Connected and Autonomous Systems

Ph.D. Students

We welcome Ph.D. applicants with backgrounds in areas such as computer science, artificial intelligence, communications and networking, cybersecurity, and automation who are interested in the research topics listed above.

Interested applicants are encouraged to contact me by email with the subject line: Ph.D. Application – Your Name

Please include the following materials:

• Curriculum Vitae (CV)

• Undergraduate and graduate transcripts

• Representative publications or research outputs, if any

• A brief statement of your research interests and research plan

Applicants with a strong research background, solid programming skills, and high research motivation will be given priority consideration.

Master's Students

We welcome Master's students who are interested in participating in research projects within our group. Interested students are encouraged to contact me by email with the subject line: Master's Application – Your Name

Please provide your CV, academic transcript, and any prior research outputs or publications, if available.

Students should first be admitted to the relevant graduate program. After enrollment, research directions will be determined based on the student's interests and background, together with the group's ongoing research projects.

Undergraduate Students

Undergraduate students are welcome to participate in research projects, innovation and entrepreneurship projects, and capstone or graduation projects. Students who are interested in research or graduation projects are encouraged to contact me in advance, so that sufficient time can be allocated to understanding potential research topics, building the necessary background knowledge, and gradually becoming involved in the group's research activities. We particularly welcome students with strong self-learning ability, solid programming skills, a strong sense of responsibility, and sustained enthusiasm for research.