Highlights of NTU Professor Jun ZHAO:


第一个博士生31个月完成博士学习:My first PhD Student started her NTU PhD study in August 2018 and submitted her thesis in September 2021; i.e., it just took 3 years and 1 month to finish her PhD study.
第二个博士生33个月完成博士学习:My second PhD Student (with just a bachelor's degree, no master's degree at the beginning) started his NTU PhD study in January 2019 and submitted his thesis in April 2022; i.e., it just took 3 years and 3 month to finish his PhD study.
第三个博士生第4个学期有第一作者顶级会议文章录取:For my third PhD student (with just a bachelor's degree, no master's degree at the beginning), in her fourth semester of the PhD study, she has a first-authored paper below published in the 42nd IEEE International Conference on Distributed Computing Systems (ICDCS 2022: a top conference). The acceptance rate of ICDCS 2022 is 19%.
Xinyu Zhou, Jun Zhao, Huimei Han and Claude Guet. "Joint Optimization of Energy Consumption and Completion Time in Federated Learning," IEEE International Conference on Distributed Computing Systems (ICDCS), July 2022.
本科生经我推荐进入我博士母校CMU CS读研:• A final-year NTU undergraduate student supervised by me was accepted to the School of Computer Science at Carnegie Mellon University (CMU, my alma mater). CMU is ranked first for computer science in the whole world.

招生/招人广告:

新加坡南洋理工大学NTUQS排名全球第11位、工科全球第6位亚洲第1)招收博士生(含全额奖学金)、博士后、研究助理、访问学生学者。赵俊老师主页 https://personal.ntu.edu.sg/junzhao/ 

 

录取成为博士生(含全额奖学金)对于有没有硕士学历没有要求,可以是即将毕业或已毕业的本科生直接申请读博,也可以是即将毕业或已毕业的研究生申请读博。想 2022  8 月份入学 NTU读博士还来得及,请忽略NTU官网上写的申请截止时间,直接联系赵俊老师来咨询如何申请。总之,申请2022  8 月或者之后时间(20231月,20238,还有以后年份)入学 NTU读博都可以。

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Email: JunZhao@ntu.edu.sg



对于博士生(含全额奖学金),招生要求包括

1. 托福或者雅思至少有一个,托福要求至少 100 分,或者雅思要求至少 6.5分。 2022  8 月份入学 NTU读博士的请在请在 2022  5  31 号前考出托福或者雅思。

2. 尽量有GRE,要求如下,如果没有GRE也可以联系赵俊老师咨询其他方式来替代GREVerbal语文 要求至少 149分,Quantitative数学 要求至少149分,Verbal Quantitative总分要求至少319Analytical Writing写作要求至少3.5分。

3. 对于GPA的要求是 100 分制下至少 80 分,或者满分4.0 GPA 计算下至少3.2,或者满分5.0 GPA 计算下至少4.0

 

如果没有GRE 成绩,想 2022 8 月份入学 NTU读博士,有如下两种方式:

第一种方式是请在 2022 5 31 号前考出 GRE

第二种方式是赶紧联系赵俊老师报名,尽快买机票来到新加坡于 2022 4 22 日在 NTU 校园参加 NTU 组织的TPT考试来取代 GRE(赵老师帮忙报名的人目前都能一次通过)。如果打过疫苗,不用隔离。

上面所说的NTU 组织的TPT 考试比 GRE 需要准备的要少,TPT 只考数学题。

 

如果托福或者雅思或者GRE或者GPA的要求不满足,但其他方面比如科研、竞赛等优秀,也可以联系赵俊老师



对于博士后、研究助理、访问学生学者,没有任何英语要求,请直接联系赵俊老师。

 

赵俊老师和团队其他老师的研究方向Research Areas :

• Communications, Networks, Control, Learning (federated learning, edge/fog computing, intelligent surfaces, 6G wireless communications, metaverse, signal processing, Internet of Things IoT, smart grid, cyber-physical systems CPS, graphs)  

• Artificial intelligence (AI) and Data Science (federated learning, reinforcement learning, adversarial machine learning)  

• Security and Privacy (federated learning, blockchains, adversarial machine learning, differential privacy, applied cryptography, secure multi-party computation)



联系方式 Please contact

Jun ZHAO 赵俊

 

Assistant Professor

School of Computer Science and Engineering (SCSE)

Nanyang Technological University (NTU)



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Email: JunZhao@ntu.edu.sg 

WhatsApp (Singapore Phone Number): 8648 3534

Skype ID: live:junzhaocmu

Line App: junzhaojz

Homepage: http://personal.ntu.edu.sg/junzhao/   

Office: Room 02C-111, Block N4 (SCSE Building), NTU



赵俊老师简要介绍:博士毕业于美国卡内基梅隆大学 PhD degree from Carnegie Mellon University (CMU), USA,本科毕业于上海交通大学,目前为新加坡南洋理工大学博士生导师 (Assistant Professor)。赵俊老师是多个学术期刊的编委和多个学术会议的委员会成员/主席。主页在http://personal.ntu.edu.sg/junzhao/  

 

获得过的奖项Awards

·       Best Paper Award (IEEE Transaction Paper), IEEE Vehicular Technology Society (VTS) Singapore 2019,

·       Best Paper Award, EAI International Conference on 6G for Future Wireless Networks (6GN) 2020,

·       Best Paper Award in IEEE Globecom Workshop 2021,

·       Member of Team PrivBayes, winning 3rd Place in the 2018 USA NIST differential privacy synthetic data competition https://www.nist.gov/ctl/pscr/open-innovation-prize-challenges/past-prize-challenges/2018-differential-privacy-synthetic

·       Carnegie Mellon University-College of Engineering Dean’s Fellowship

·       A first-authored paper was shortlisted for the best student paper award in IEEE International Symposium on Information Theory (ISIT) 2014, a prestigious venue in information theory.