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Quang M. Nguyen (Nguyễn Minh Quang)

Hi, I'm a PhD student at Computer Science Department, University of Pittsburgh. My PhD advisor is Dr. Milos Hauskrecht.

Before going to the US to join PITT I lived in Moscow, Russia and got my BS/MS degree from Department of Computional Mathematics and Cybernetics, Lomonosov Moscow State University.

I plan to graduate in the Fall 2013 and currently looking for a research/engineering position in the industry. Here is my Resume


CONTACT INFORMATION

Computer Science Department, University of Pittsburgh, 210 S Bouquet St, Office 5406, Pittsburgh, PA 15213

Phone: (+1) 412-482-0545

Email: quang (at) cs (dot) pitt (dot) edu


RESEARCH INTERESTS

Machine learning and data mining

  • Leaning from multiple annotators
  • Learning with auxiliary information
  • Active learning

Biomedical informatics

  • Application of machine learning and data mining techniques for disease diagnosis
  • Visualization of medical data to support decision making in medicine

RESEARCH PROJECTS

These projects are sponsored by National Institute of Health (NIH)

Learning from multiple experts

  • Developed methods to learn a consensus model from multiple annotators by modeling differences in knowledge, reliability and bias

Learning from auxiliary information

  • Developed a framework to learn better classification models with smaller sample complexity by incorporating auxiliary probabilistic information

Outlier detection in large clinical databases

  • Designed and developed a web-based system to visualize medical data and support disease diagnosis. The system has been used by physicians from University of Pittsburgh Medical Center.

PUBLICATIONS

Q. Nguyen, H. Valizadegan, and M. Hauskrecht. Learning classification with soft-label information. Journal of the American Medical Informatics Association (JAMIA’13)

H. Valizadegan, Q. Nguyen, M. Hauskrecht. Learning to classify from multiple experts. IEEE Transactions on Knowledge and Data Engineering (TKDE’13). Under review.

D. Krebs, Q. Nguyen, S. Visweswaran, M. Hauskrecht. A tool for offline evaluation of clinical alert rules. Applied Clinical Informatics (ACI’13). Under review.

H. Valizadegan, Q. Nguyen, M. Hauskrecht. Learning classification models from multiple experts. Journal of Biomedical Informatics (JBI’13).

H. Valizadegan, Q. Nguyen, M. Hauskrecht. Learning medical diagnostic models from multiple experts. Annual American Medical Informatics Association Symposium (AMIA’12), Chicago, IL.

Q. Nguyen, H. Valizadegan, and M. Hauskrecht. Learning classification with auxiliary probabilistic information. IEEE International Conference on Data Mining (ICDM’11), Vancouver, Canada, December 2011 (regular paper, acceptance rate: 101/822 = 12%)

Q. Nguyen, H. Valizadegan, and M. Hauskrecht. Sample-efficient learning with auxiliary class-label information. Annual American Medical Informatics Association Symposium (AMIA’11), October 2011

Q. Nguyen, I. Mashechkin. Design and implementation of log consolidation system. BS/MS thesis, Department of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, June 2006


PRESENTATIONS

Learning classification with auxiliary probabilistic information, IEEE International Conference on Data Mining (ICDM’11), Vancouver, Canada, December 2011

Sample-efficient learning with auxiliary class-label information, Annual American Medical Informatics Association Symposium (AMIA’11), October 2011

Kernel methods, CS Departments, University of Pittsburgh, November 2011


TEACHING

CS007 - Introduction to Computer Programming (Fall 2009)

CS401 - Intermediate Programming Using Java (Summer 2008, Spring 2009)

CS445 - Data Structures (Spring 2008, Summer 2009)

CS1530 - Software Engineering (Fall 2008)

CS1538 - Introduction to Simulation (Fall 2007)

CS1550 - Introduction to Operating Systems (Summer 2008)

CS1621 - Structure of Programming Languages (Fall 2007)

CS1622 - Introduction to Compiler Design (Fall 2008)