Dr. Ting Yu

Ting Yu
Research Director
Cyber Security

Connect with me



QCRI offers a unique opportunity to conduct high-quality impactful research.

Research Focus at QCRI

Ting’s research at QCRI focuses on data security and privacy, security policy specification and analysis, and trustworthy web information.

Previous Experience

Ting Yu is an Associate Professor of Computer Science at the North Carolina State University. His main research is in security, with a focus on data privacy and security, security policy, trust management, and information assurance in open systems. He is a recipient of the NSF Career Award.

Professional Experience

  • Associate Professor: North Carolina State University (2009 – present)
  • Assistant Professor: North Carolina State University (2003 – 2009)
  • Research Intern: AT&T Labs – Research, summer 2001 and summer 2002

Professional Associations and Awards

Awards
  • NSF Career Award, 2007
  • Best PhD Dissertation Award, Department of Computer Science, University of Illinois at Urbana-Champaign, 2003

Education

  • Ph.D. in Computer Science, University of Illinois at Urbana-Champaign, 2003
  • M.S. in Computer Science, Minnesota University, 1998
  • B.S. in Computer Science, Peking University

Selected Research

  • Entong Shen and Ting Yu: Mining Frequent Graph Patterns with Differential Privacy. In ACM KDD Conference, 2013.
  • Mingxuan Yuan, Lei Chen, Philip S. Yu and Ting Yu: Protecting Sensitive Labels in Social Network Data Anonymization. IEEE Transactions on Knowledge and Data Engineering (TKDE), 25(3), 633-647, 2013.
  • Nicholas L. Farnan, Adam J. Lee, Panos K. Chrysanthis and Ting Yu: Enabling Intensional Access Control via Preference-aware Query Optimization. ACM SACMAT 2013.
  • Wei Wei, Ting Yu and Rui Xue: iBigTable: Practical Data Integrity for BigTable in Public Cloud. In ACM Conference on Data and Application Security and Privacy (CODASPY ), 2013.
  • Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Entong Shen and Ting Yu: Differential Private Spatial Decompositions. In ICDE 2012.
  • Graham Cormode, Divesh Srivastava, Entong Shen and Ting Yu: Aggregate Query Answering on Possibilistic Data with Cardinality Constraints. In ICDE 2012.

Connect with me



Follow Us

  • YouTube
  • Twitter
  • Facebook
  • RSS Feed
  • Linkedin
  • github-web.png
Back to Top

In the Media

Forbes fake news pic.jpg

Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

Read More

roadtracer.png

MIT/QCRI system uses machine learning to build road maps

22/04/2018

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

Read More

Economist story pic.JPG

Improving disaster response efforts through data

08/02/2018

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

Read More

Upcoming Events

Past Events

2019

MLDAS 2019 Promo Web.JPG

(MLDAS 2019) Machine Learning and Data Analytics Symposium

Download ICS File 01/04/2019  - 02/04/2019 ,

Machine Learning and Data Analytics Symposium - MLDAS 2019 Building on the success of the three previous events , Boeing and QCRI will hold the fifth Machine Learning and Data Analytics Symposium (...

Read More

Torralba.png

"Learning to See" Public talk by Professor Antonio Torralba (MIT-CSAIL)

Download ICS File 25/03/2019 ,

Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.

Read More

QCRI CSAIL Logos.JPG

QCRI - MIT CSAIL 2019 Annual Project Review

Download ICS File 25/03/2019 ,

Executive Overview Sessions Open to publi Date: March 25, 2019 Time: 10:15AM - 5:15PM Venue: Hamad Bin Khalia Reseach Complex Multipurpose Room To view agenda, please click here . To RSVP to this ...

Read More

News Releases

QCRI-iMMAP MOU.jpg

QCRI and iMMAP announce Memorandum of Understanding

03/03/2019

Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.

Read More

UNDP workshop.JPG

UNDP partners with QCRI to use AI for social good

11/02/2019

Qatar forum on leveraging AI to solve humanitarian problems fills to capacity.

Read More

C. Mohan pic.jpg

Renowned computing expert C. Mohan to bust blockchain myths in Qatar talk

22/01/2019

Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.

Read More