南大计算机学院许封元,Fengyuan Xu @ NJU

南京大学计算机科学与技术系教授介绍其研究专长,包括移动系统安全、边缘计算、隐私保护和深度学习在IoVT中的应用。带领MOSS团队,致力于创造安全、可信的移动智能环境,涉及实时智能、边缘服务与深度学习隐私机制。寻求志同道合者,欢迎邮件交流研究兴趣和相关论文理解。

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About Me

I am a Professor with the Department of Computer Science & Technology at Nanjing University. Prior to joining

NJU, I worked at NEC Labs Princeton as a full-time Researcher. I was also a Visiting Researcher at Microsoft

Research Asia. I earned my Ph.D. in Computer Science from the College of William and Mary, and received the

Distinguished Dissertation Award in Natural and Computational Sciences.

My research interests span a broad range of topics in the space of Mobile Systems & Security. I

seek to explore (computationally) scientific discoveries with real-world impact and create disruptive

innovations reshaping how people live. Currently, driven by the synergy between cyber and physical realities, I

am focusing on the Internet of Video Things (IoVT), Privacy & Trust Mechanisms, and Edge Computing Systems.

I lead the MObile Systems & Security (MOSS) research group, which is affiliated with the COSEC Research Center of

NJU and the National Key Lab for Novel Software Technology. We enjoy working on projects to create an immsersive,

trustworthy, compassionate, and sustainable computing environment for individual, society, and ecology. Part of

on-going MOSS projects:

Mobie Intelligence in the Wild. 1) system and algorithm co-design for enhancing real-time

mobile intelligence [MobiSys'20] [MobiCom'21b]; 2) trusted mobile intelligence environment balancing strong protection and high

usability; 3) infrastructure and framework for emering mobile intelligence services at the edge.

Security by/for Deep Learning. 1) privacy mechanisms for deep learning inference/perception

[MobiCom'21a] [WWW'21] [MobiCom'19]; 2) assessing technologies for deep learning based systems; 3) geometric

deep learning tools for security analysis automation.

To prospective students

招收移动系统软件、智能边缘计算、安全智能分析、深度学习安防等方向的同学。欢迎志同道合的同学发信至我的邮箱

fengyuan DOT xu AT nju DOT edu DOT

cn。除了基本信息和经验背景,请在邮件中表明你感兴趣的方向及原因,并从下列selected

publication中挑选一篇总结其中内容和阐述你的见解(长短不限)。谢谢。

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