Welcome to PINPON Lab!

The Privacy-Preserving and INtelligent P2P Operations Network (PINPON) Lab is a research group at The King's University focused on developing trustworthy, intelligent, and decentralized computing systems for real-world applications.

Our research brings together blockchain, artificial intelligence, privacy-preserving computing, and peer-to-peer (P2P) networks . We are particularly interested in how these technologies can work together to build systems that are secure, transparent, intelligent, and privacy-preserving .

Our current research includes: Blockchain and P2P Systems, P2P Energy Trading, Privacy-Preserving and Verifiable AI, Zero-Knowledge Machine Learning (ZKML), Tokenization, and Digital Assets.

We welcome students and collaborators who are interested in exploring the intersection of computing, AI, blockchain, privacy, and sustainable technologies .

Our Team

Daniel Woods

Daniel Woods

Undergraduate Researcher

Daniel Woods was a Student Researcher at the PINPON lab during the summer of 2026. His work focused on developing automated market makers (AMMs) on Sui blockchain for peer-to-peer energy trading using Sui Move.

Jion Choi

Jion Choi

Undergraduate Researcher

Jion Choi was a Student Researcher at the PINPON lab during the summer of 2026. He worked on benchmarking zero-knowledge machine learning frameworks, including EZKL, DeepProve, Orion, and Risc0.

Mitchel Justinen

Mitchel Justinen

Undergraduate Researcher

Michel Justinen was a Student Researcher at the PINPON lab during the summer of 2025 and 2026 supported by NSERC USRA. His work focused on developing automated market makers (AMMs) for peer-to-peer energy trading.

Stephen Fan

Stephen Fan

Principal Investigator

Dr. Caixiang (Stephen) Fan is an Assistant Professor of Computing Science at The King’s University. His research focuses on blockchain, privacy-preserving computing, zero-knowledge proofs, and P2P systems.