Dr. Ting Yu

Ting Yu
Research Director
Cyber Security

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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.

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In the Media

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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 ...

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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 ...

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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 ...

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Upcoming Events

Past Events

2018

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QCRI Summer Internship Program

Download ICS File 06/05/2018  - 05/07/2018 , Hamad Bin Khalifa Research Complex

Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.

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Regina

Public Talk by Prof. Regina Barzilay "Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text"

Download ICS File 27/03/2018 ,

Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text A talk by Professor Regina Barzilay, MIT CSAIL Winner of 2017 MacArthur ‘genius grant’ At Education City Student ...

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QCRI & MIT-CSAIL Annual Project Review 2018

Download ICS File 27/03/2018 ,

Executive Overview Sessions Open to public Date:    Tuesday, March 27, 2018 Time:    9:00AM – 3:00PM Venue:  HBKU Research Complex Multipurpose Room To view full agenda, please click here . To RSVP, ...

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News Releases

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QCAI to Conduct Joint Machine Learning School with BigML

16/10/2018

Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.

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MIT-CSAIL hosts annual meeting highlighting collaboration with QCRI

14/10/2018

QCRI scientists travel to MIT-CSAIL campus in Boston to update research projects.

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The drivers behind our new Qatar Center for Artificial Intelligence (QCAI)

03/10/2018

QCRI's Executive Director Dr. Ahmed Elmagarmid explains why we have created a new AI hub in Qatar.

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