基本信息
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职业迁徙
个人简介
Jun Zhao is an Assistant Professor in the School of Computer Science and Engineering (SCSE) at Nanyang Technological University (NTU). He received a PhD degree in Electrical and Computer Engineering from Carnegie Mellon University (CMU), Pittsburgh, PA, USA in May 2015, and a bachelor's degree in Information Engineering from Shanghai Jiao Tong University, China in June 2010. One of his papers was a finalist for the best student paper award in IEEE International Symposium on Information Theory (ISIT) 2014. His research interests include the following:
• AI and Data Science: federated learning, deep learning, adversarial machine learning, computer vision (CV), natural language processing (NLP), reinforcement learning, optimization, etc.
• City Brain and Smart Nation: federated learning, Internet of Things IoT, cloud/edge/fog computing, 6G wireless communications, signal processing, smart grid, cyber-physical systems CPS
• Security and Privacy: federated learning, blockchains, adversarial machine learning, differential privacy, applied cryptography, secure multi-party computation
Prospective PhD students, postdocs, and visiting students/researchers can
email JunZhao@NTU.edu.sg,
or add WhatsApp request at http://www.ntu.edu.sg/home/junzhao/whatsapp.png
or add Wechat request at http://www.ntu.edu.sg/home/junzhao/wechat.png
Research Interests
• AI and Data Science: federated learning, deep learning, adversarial machine learning, computer vision (CV), natural language processing (NLP), reinforcement learning, optimization, etc.
• City Brain and Smart Nation: federated learning, Internet of Things IoT, cloud/edge/fog computing, 6G wireless communications, signal processing, smart grid, cyber-physical systems CPS
• Security and Privacy: federated learning, blockchains, adversarial machine learning, differential privacy, applied cryptography, secure multi-party computation
• AI and Data Science: federated learning, deep learning, adversarial machine learning, computer vision (CV), natural language processing (NLP), reinforcement learning, optimization, etc.
• City Brain and Smart Nation: federated learning, Internet of Things IoT, cloud/edge/fog computing, 6G wireless communications, signal processing, smart grid, cyber-physical systems CPS
• Security and Privacy: federated learning, blockchains, adversarial machine learning, differential privacy, applied cryptography, secure multi-party computation
Prospective PhD students, postdocs, and visiting students/researchers can
email JunZhao@NTU.edu.sg,
or add WhatsApp request at http://www.ntu.edu.sg/home/junzhao/whatsapp.png
or add Wechat request at http://www.ntu.edu.sg/home/junzhao/wechat.png
Research Interests
• AI and Data Science: federated learning, deep learning, adversarial machine learning, computer vision (CV), natural language processing (NLP), reinforcement learning, optimization, etc.
• City Brain and Smart Nation: federated learning, Internet of Things IoT, cloud/edge/fog computing, 6G wireless communications, signal processing, smart grid, cyber-physical systems CPS
• Security and Privacy: federated learning, blockchains, adversarial machine learning, differential privacy, applied cryptography, secure multi-party computation
研究兴趣
论文共 283 篇作者统计合作学者相似作者
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IEEE Transactions on Network Science and Engineeringno. 99 (2024): 1-13
arxiv(2024)
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arxiv(2024)
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IEEE Transactions on Dependable and Secure Computingno. 99 (2024): 1-12
IEEE Internet of Things Journalno. 99 (2024): 1-1
2023 International Conference on Computer and Applications (ICCA) (2024): 1-7
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