Led by Prof. Xiaodong Lin and based in the School of Computer Science at the University of Guelph, the BTC Lab focuses on Blockchain technology and Cybersecurity researches.
We use statistics, data science, deep learning and cryptography to gain better understanding of the complexities of cryptocurrency and propose some meaningful schemes related to crybersecurity. Our work has been accepted by a lot of international conferences and journals.
The staff of our lab is mainly from the University of Guelph and the University of Waterloo. We also collaborate with several universities around the world. We are composed of PhD students, post-docs, MSc students and visiting scholars.
Xiaodong is a Professor of computer science at University of Guelph. He received his PhD in University of Waterloo, Canada, and Beijing University of Posts and Telecommunications, China.
Liang Xue is a PhD student at University of Waterloo. She received her Master degree in University of Electronic Science and Technology of China, China. Her research direction is blockchain security and privacy.
Wenjing Zhang is a PhD student at University of Guelph. She received her Master degree and first PhD degree in Xidian University, China. Her research direction is security and privacy.
Qi received his M.S. degree from the School of Cyber Engineering, Xidian University, China, in 2020. He is current working toward the Ph.D degree with the School of Computer Science, University of Guelph. His research interests include AI security and media forensic.
Rundong Gan received his M.S. degree from the School of Cyber Science and Engineering, Sichuan University, China, in 2020. He is current working toward the Ph.D degree with the School of Computer Science, University of Guelph. His research interests include Decentralized Finance (DeFi) security and abnormal behaviour detection.
Nan Li received her M.S. degree from the School of Cyber Science and Engineering, Beijing University of Posts and Telecommunications, China, in 2021. She is current working toward the Ph.D degree with the School of Computer Science, University of Guelph. Her research interests include Security and Privacy.
Le Wang is a master student at University of Guelph. He received a former Master degree in Xidian University, China. His research direction is blockchain technology and has a great experience in engineering.
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Fuyuan Song received the M.S. degree in Applied Mathematics from Hunan University in 2017 and the Ph.D. degree in Computer Science from Hunan University in 2021. Currently, he is working in the School of Computer Science at the Nanjing University of Information Science & Technology. His research interests include applied cryptography, privacy-preserving machine learning, and cloud security.