Faculty

邓 倩妮 副教授

MainPage:

Office Telephone: +86-21-3420-4007

Office Address: SEIEE-3-543

Email: deng-qn@cs.sjtu.edu.cn

Lab:

  • Research
  • Education
  • Work Experience
  • Teaching Assignment
  • Publications
  • Project Fund
  • Awards
  • Academic Service

I am interested in Parallel Computing, Data Intensive Computing and Computing Education. My research interesting includes: Scalable parallel algorithms for DISC applications ; Storage and Management of Parallel Data ;Resource management, scheduling and sharing in Data Center ; Education Science for Computer Engineering ; Learn @ Scale .


Ph.D in Computer Science (2004) Shanghai Jiao Tong University (SJTU) P.R. China
M.S. in Computer Science (1996) Shanghai Jiao Tong University (SJTU) P.R. China
B.S. in Computer Technology (1993) Shanghai Jiao Tong University(SJTU) P.R. China
Graduated with a master degree in computer science from the department of Computer Sciences and Technology of Shanghai Jiaotong Univ. in 1996, worked as a lecturer of Shanghai Jiaotong Univ. between 1997 and 2002, was promoted as an associate professor at August 2002, got doctorate in computer software from Shanghai Jiaotong Univ, at 2004, and worked as a visiting scholar in ICSI(International Computer Science Institute), UC Berkeley at 2005, Qianni Deng has published more than 40 papers and organized several important international conferences during this period. Qianni Deng has presided over, participated in and completed more than 10 national and international cooperative research projects, which include research project funded by National Natural Science Foundation of China, ‘ShanghaiGrid’ grand projects funded by Science and Technology Commission of Shanghai Municipality, ‘China Grid’ project funded by Ministry of Education P.R.C., key science and technology research projects funded by National Hi-Tech project (973 project

CS359 Undergraduate Computer Organization and Architecture

Course site: http://cc.sjtu.edu.cn/G2S/site/CS359.html

CS318  Undergraduate Operating Systems

Course site:  http://cc.sjtu.edu.cn/G2S/site/CS318.html

Xinjian Luo, Qianni Deng and Tao Liao,Pipelining Collaborative Test for Improving Student Performance in Introductory Programming Courses,Poster Paper, Accepted, 23rd Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2018.



2017 年教育部-英特尔公司产学合作协同育人项目(第二期):计算机组成与系统结构(基于核心概念与典型实例的模块化定制式 MOOC 课程建设),项目负责人;上海市精品课程“计算机组成与系统结构”主要建设成员; 上海交通大学教学发展中心2017年教学发展基金项目:协作式两阶段考试对学习提高帮助程度的研究,项目负责人;

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