What Is Secure and Trustworthy Data Sharing and Why Does It Matter?

In this episode of the IEEE Signal Processing Society podcast, Dr. Yan Qiao, an Associate Professor at the School of Computer Science and Information Engineering, Hefei University of Technology, interviews Professor Meng Li from Hefei University of Technology, whose research focuses on applied cryptography, secure and trustworthy data sharing, blockchain, privacy preservation, and Trusted Execution Environments (TEE). Professor Meng Li Professor Meng Li is a Professor at the School of Computer Science and Information Engineering, Hefei University of Technology (HFUT), China. He earned his Ph.D. in Computer Science and Technology from the Beijing Institute of Technology and has held several international research appointments, including postdoctoral positions in Italy supported by the ERCIM "Alain Bensoussan" Fellowship Programme and research collaborations at the University of Waterloo, Wilfrid Laurier University, and the University of Padua. His research focuses on secure and trustworthy data sharing, privacy preservation in the Internet of Vehicles (IoV), applied cryptography, blockchain, and Trusted Execution Environments (TEE). He is a Senior Member of IEEE, CCF, CACR, CIE, and CIC, and has been recognized with the 2024 IEEE HITC Award for Excellence (Early Career Researcher), the 2025 IEEE TCSVC Rising Star Award, and selection among the IEEE Computer Society Computing's Top 30 Early Career Professionals for 2025. In this episode, Professor Li explains why secure and trustworthy data sharing has become a cornerstone of today's digital world. He discusses how technologies such as cryptography, blockchain, and privacy-preserving techniques help enable secure data sharing while protecting user privacy and explores the role of emerging technologies in addressing modern data-sharing challenges and advancing humanitarian and societal applications.