الدكتور ين يانغ | جامعة حمد بن خليفة

الدكتور ين يانغ

أستاذ دكتور

البريد الإلكتروني

yyang@hbku.edu.qa

الهاتف

44 545 878

موقع المكتب

LAS Building

الدكتور ين يانغ

أستاذ دكتور

المؤهلات العلمية

PhD in Computer Science

الكيان

كلية العلوم والهندسة

Divison

قسم تكنولوجيا المعلومات والحوسبة

السيرة الذاتية

Dr. Yin "David" Yang is an associate professor of ICT in the College of Science and Engineering at HBKU. He also holds adjunct positions at Qatar Computing Research Institute (QCRI), and Singapore's Advanced Digital Sciences Center (a branch lab of UIUC). He has published extensively in leading publications, with a strong focus on data management and data privacy protection.

Dr. Yang is the Lead Principal Investigator (PI) of two projects from the Qatar National Research Fund’s main funding program, the National Priorities Research Program (NPRP), focusing on big data and artificial intelligence. He is also the Lead PI of a subproject as part of a large NPRP cluster project on blockchain-based FinTech. 

Along with several local projects, he has also completed three Samsung-funded GRO projects.

 

PhD in Computer Science

HKUST, Hong Kong

2009

  • Big Data Analytics
  • Artificial Intelligence
  • Data Privacy
  • Blockchain Infrastructure

Associate Professor

College of Science and Engineering, HBKU

2019 - present

Assistant Professor

College of Science and Engineering, HBKU

2014 - 2019

Research Scientist

Advanced Digital Sciences Center, Singapore

2011 - 2014

  • Differentially private histogram publication. The VLDB Journal 22 (6), 797-822, 2013.
  • Functional mechanism: regression analysis under differential privacy. Proceedings of the VLDB Endowment 5 (11), 1364-1375, 2012
  • Authenticated join processing in outsourced databases. Proceedings of the 2009 ACM SIGMOD International Conference on Management of Data, 2009.
  • Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy. Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications, 2016.
  • Query by document. Proceedings of the Second ACM International Conference on Web Search and Data Mining, 2009.

  • 2013: Best Paper Award, IEEE International Conference on Cloud Engineering.