Shucheng Yu

Shucheng Yu, Ph.D.

shucheng.yu@yu.edu | 646-592-8013 | 205 Lexington Avenue, 7th FL, NYC I Website 

Shucheng Yu is an Associate Professor and Associate Chair of the Graduate Computer Science and Engineering Department at the Katz School of Science and Health, Yeshiva University. He directs the M.S. in Data Analytics and Visualization program and leads the AI Security and Trusted Systems Lab. Before joining Yeshiva University, he was a tenured Associate Professor at Stevens Institute of Technology, where he directed the AISecLab research cluster in the Department of Electrical and Computer Engineering and co-directed the Center for Innovative Computing and Networked Systems (iCNS).

Dr. Yu’s research is in information and network security, with work spanning AI security, LLM and agent security and governance, privacy-enhancing technologies, applied cryptography, distributed trust, wireless networking and sensing, IoT security and privacy, compliance, and post-quantum cryptography. His research program has addressed security and privacy challenges across cloud computing, encrypted data processing, personal health records, wireless and mobile systems, body area networks, federated learning, AI systems, and emerging cyber-physical systems.

Dr. Yu has published approximately 100 research papers in journals, conferences, and workshops. His work has received more than 13,000 citations on Google Scholar, with several publications receiving sustained attention in cloud data security, privacy-preserving data sharing, secure search, access control, and health-data privacy. His research on cloud data security received the IEEE INFOCOM Test of Time Paper Award in 2020, recognizing its impact over the preceding decade. He is a Fellow of IEEE, recognized for contributions to information and network security, and a Fellow of the Asia-Pacific Artificial Intelligence Association.

Dr. Yu’s recent research focuses on practical approaches to trustworthy and resilient AI systems, AI agents, and AI-enabled applications, including healthcare, robotics, wireless sensing, and other cyber-physical systems. His group develops techniques that combine secure protocol design, trusted execution environments, privacy-preserving computation, post-quantum cryptography, and system-level protections. Recent projects also include secure and privacy-preserving federated learning, secure geographic search, adversarial robustness, integrated sensing and communication, RIS- and O-RAN-assisted sensing, UAV detection, and 5G/6G communication and sensing systems.

Dr. Yu has contributed to the research community through journal editorships, conference organization, proposal review, and professional service. He has served as an editor or guest editor for journals including IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Blockchain Technical Briefs, and other venues. He has also served in organizing roles for approximately 20 international conferences and workshops, including IEEE INFOCOM, IEEE GLOBECOM, IEEE ICC, IEEE HealthCom, IEEE CHASE, IEEE VTC, IEEE ICNC, and related security, networking, and connected-health venues.

Dr. 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