Rongxing Lu
Also known as Lu Rongxing, Lu Rong-xing
Rongxing Lu is a computer scientist who works on security and privacy for IoT, big data and artificial intelligence, using privacy-enhancing techniques and applied cryptography. After a PhD at Shanghai Jiao Tong University in 2006, he earned a second doctorate at the University of Waterloo in 2012 and won the Governor General's Academic Gold Medal. He was an assistant professor at Nanyang Technological University in Singapore from 2013 to 2016, joined the University of New Brunswick in 2016, became an IEEE Fellow in 2021, and took the Mastercard IoT Research Chair in 2022. A Highly Cited Researcher in 2023, he served as Acting Director of the Canadian Institute for Cybersecurity from January 2024 and coauthored the CVPR 2024 paper DIEM on image question answering. Since 2025, he is a professor in the School of Computing at Queen's University, where his Privacy Enhancing Techniques lab works on federated learning, homomorphic encryption and local differential privacy.
- Now at
- Queen's University
- Works
- 825
- Citations
- 33,184
- h-index
- 85
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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2006–2012
Doctorates in Shanghai and Waterloo
He earns a PhD at Shanghai Jiao Tong University in 2006 and a second PhD in Electrical and Computer Engineering at the University of Waterloo in 2012, supervised by Sherman Shen. The Waterloo degree brings him the Governor General's Academic Gold Medal in 2012.
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2012–2016
Assistant professor at NTU
He works as a postdoctoral fellow at the University of Waterloo from May 2012 to April 2013 and as an assistant professor in the School of Electrical and Electronic Engineering at Nanyang Technological University in Singapore from April 2013 to August 2016. In 2013, he wins the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award.
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2016
Joining the University of New Brunswick
In 2016, he joins the University of New Brunswick. Its computer science faculty gives him the 2016–2017 Excellence in Teaching Award.
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2021
Named an IEEE Fellow
In January 2021, IEEE elevates him to Fellow, in the Class of 2021, for contributions to security and privacy in vehicular communications. He is the only Fellow in the IEEE New Brunswick Section.
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April 2022
Mastercard IoT Research Chair
In April 2022, Mastercard announces a $1.75 million investment in UNB's Canadian Institute for Cybersecurity, and he is named the new Mastercard IoT chair.
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2023–2024
Highly Cited Researcher and DIEM
The Web of Science Group names him a 2023 Highly Cited Researcher in Computer Science. In 2024, he coauthors DIEM, a CVPR paper that splits an image question into sub-questions and sub-images for image question answering with LLaVA-v1.5. He also coauthors a EuroS&P 2024 paper on a fingerprinting scheme that protects the intellectual property of image-to-image GANs.
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January 2024
Acting director of the CIC
In January 2024, he takes on the role of Acting Director of the Canadian Institute for Cybersecurity at the University of New Brunswick.
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Since 2025
Professor at Queen's University
In January 2025, he joins the School of Computing at Queen's University, where he is a full professor. His Privacy Enhancing Techniques lab works on security and privacy in IoT, big data, and artificial intelligence, with frameworks in local differential privacy, homomorphic encryption, and secure, explainable federated learning. In 2026, he receives the Technical Recognition Award from the IEEE Communications and Information Security Technical Committee.
Career
- Since 2025Queen's UniversityFull Professor
- 2016–2025University of New BrunswickMastercard IoT Research Chair, Acting Director
- 2013–2016Nanyang Technological UniversityAssistant Professor
- 2012–2013University of WaterlooPostdoctoral Fellow
Education
- 2012University of WaterlooPhD
- 2006Shanghai Jiao Tong UniversityPhD
Most-cited works
- CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment
- EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications
- Optimal Workload Allocation in Fog-Cloud Computing Towards Balanced Delay and Power Consumption
- DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems
- Smart community: an internet of things application
Sources and credits
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- Welcome to Rongxing Lu's Website !
- University of New Brunswick and Mastercard announce $1.75 million in funding to advance IoT cybersecurity research and training in Canada
- Rongxing Lu | The Governor General of Canada
- Rongxing Lu | IEEE Vehicular Technology Society
- Welcome to Rongxing Lu's Website !
- Rongxing Lu Elevated to IEEE Fellow – IEEE New Brunswick
- University of New Brunswick and Mastercard announced $1.75 million in funding to advance IoT cybersecurity research and training in Canada | Mastercard Newsroom
- CVPR 2024 Open Access Repository
- [2106.11760] Fingerprinting Image-to-Image Generative Adversarial Networks
- Welcome to Rongxing Lu's Website !


