Qian Lou

Assistant Professor, University of Central Florida

Dr. Qian Lou possesses expertise in privacy-enhancing techniques, e.g., Fully Homomorphic Encryption (FHE), privacy-preserving machine learning, and efficient deep learning systems, attesting to his knowledge and skills in these specialized fields. His research has had a significant impact on the product design of real-world privacy-preserving machine learning as a service. For example, his work on FHE and privacy-preserving machine learning have pioneered and advanced the co-design of FHE schemes, machine learning algorithms, and computer hardware. In particular, Lou was the inventor of SAFENet systems that have influenced Samsung's Bixby secure intelligent systems on privacy-sensitive data. Additionally, his research in FHE accelerators has influenced the follow-up research and products in efficient FHE systems. Also, his research in efficient deep learning systems had an impact on lightweight deep learning research and Samsung's galaxy s22 ultra camera design. 

Keywords

  • Privacy-Preserving Machine Learning
  • Applied Cryptography
  • Reliability

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