Shucheng Yu

Shucheng Yu, Ph.D.

shucheng.yu@yu.edu | 646-592-4763 | 205 Lexington Avenue, 7th FL, NYC

Shucheng Yu is the associate professor and associate chair and the director of the M.S. in Data Analytics and Visualization program at Katz School. He is the recipient of the Test of Time Paper Award of IEEE Infocom 2020 for his research on cloud data security. At Stevens Institute of Technology, he directed the AISecLab research cluster of the ECE department. He is a fellow of IEEE and a fellow of AAIA.

His journal publications focus on advancing security, privacy and efficiency in emerging network and computing systems. His 2023 work in IEEE Transactions on Vehicular Technology explores cooperative non-orthogonal multiple access (NOMA)-based spectrum leasing involving multiple secondary users, improving spectral efficiency in wireless networks. Also in 2023, he co-authored a paper in IEEE Transactions on Information Forensics and Security, introducing SAFELearning - a federated learning framework that integrates secure aggregation with backdoor attack detectability.

His 2022 publication in Applied Sciences presents a privacy-preserving method for deep neural network inference offloading, enhancing edge computing capabilities. His 2021 article in IEEE Transactions on Services Computing develops an indirect revocable key-policy attribute-based encryption (KP-ABE) system that can resist unauthorized revocation undoing. Finally, his 2020 contribution to the IEEE Internet of Things Journal proposes a low-latency, privacy-preserving scheme for outsourcing deep neural network inference—critical for secure, real-time applications in IoT. Collectively, these works demonstrate Yu’s commitment to developing secure, scalable solutions for distributed AI and networked systems.

Yu holds a Ph.D. in electrical and computer engineering from Worcester Polytechnic Institute.

Selected Publications

• Waveform Design for ISAC: Trends and Future Directions - IEEE
• Security and Privacy in Federated Learning - John Wiley & Sons
• Achieving secure, scalable, and fine-grained data access control in cloud computing - IEEE
• Scalable and secure sharing of personal health records in cloud computing using attribute-based encryption - IEEE
• Attribute based data sharing with attribute revocation - Proceedings of the 5th ACM Symposium on Information, Computer and Communications Security
• Efficient and Privacy-Preserving Integrity Verification for Federated Learning with TEEs - IEEE
• Channel-Adaptive Privacy Enhancement for NOMA-Based Antagonistic Overlay Cognitive Networks - IEEE
• Securing personal health records in cloud computing: Patient-centric and fine-grained data access control in multi-owner settings - International Conference on Security and Privacy in Communication Systems
• Authorized private keyword search over encrypted data in cloud computing - IEEE
• Privacy-preserving multi-keyword fuzzy search over encrypted data in the cloud - IEEE
• Achieving usable and privacy-assured similarity search over outsourced cloud data - IEEE

Industry Collaborations

• Fellow, the Institute of Electrical and Electronics Engineers (IEEE)
• Fellow, Asia-Pacific Artificial Intelligence Association (AAIA)
• The IEEE Communications Society (IEEE ComSoc)
• Association for Computing Machinery (ACM)
• American Association for the Advancement of Science (AAAS)
• American Society for Engineering Education (ASEE)

Editorial Awards

• Editor, IEEE Transactions on Vehicular Technology, 2021 - 2023
• Editor, IEEE Transactions on Mobile Communications, 2020-2023
• Editor, IEEE Internet of Things (IoT) Journal, 2020 -2023
• Editor, IEEE Blockchain Technical Briefs, 2018 – present
• Editor, Journal of Platform Technology, 2013 – present
• Editor, KSII Transactions on Internet and Information Systems (2012 – 2019)
• Guest Editor, International Journal of Distributed Sensor Network (2014 – 2016)
• Editor, International Journal of Security and Networks (2015 – 2016)

Honors and Awards

• Outstanding Service Award, Electrical and Computer Engineering Department, Stevens Institute of Technology, 2024
• Fellow of Asia-Pacific Artificial Intelligence Association (AAIA), class of 2023
• Fellow of IEEE, for contributions to information and network security, class of 2023
• Strengthened Reputation, Increased Prestige Award, Stevens Institute of Technology, 2021
• Air Force Summer Faculty Fellowship Program (SFFP) Fellowship, Summer 2021-2023
• Test of Time Paper Award, IEEE INFOCOM 2020
• Distinguished TPC member of INFOCOM 2020
• Outstanding Teaching Award, Electrical and Computer Engineering Department, Stevens Institute of Technology, 2019
• Air Force Visiting Faculty Research Program (VFRP) Fellowship, Summer 2018/2020
• The Faculty Excellence in Research, University of Arkansas at Little Rock, 2016