Thuan Huynh

Contact information Email: (thuan) at (cs dot umd dot edu) Mailing Address: Mailroom 1103 A.V.Williams Building College Park, MD 20742

About me

I am a fifth year Ph.D. student in the Department of Computer Science at University of Maryland - College Park. I work in artificial intelligence, mainly artificial neural networks with my advisor Dr. James Reggia. I got my Bachelor of Computing from the School of Computing, National University of Singapore in 2005.

Research

My current research is in designing learning algorithms for artificial neural networks with applications to pattern classification, time series prediction, recognition and rule extraction from neural networks. I am particularly interested in developing biologically inspired methods that have parallel distributed processing nature such that individual computation units/neurons have only local information but still allow the system to work towards a common goal like learning, recognition. Most recently, I am working on altering the learning algorithm to produce a more distributed hidden layer representation in feedforward network and using that to extract more concise rules to explain the networks' decision.

Before joining Maryland, I worked with Dr. Setiono in pruning artificial neural networks to improve classification performance for my honor thesis. After graduation, I worked a year as a research assistant in the National University of Singapore with Dr. Roychoudhury on a memory model sensitive model checker that can verify programs' correctness regardless of the hardware platform they run on.

Publications

• T. Huynh and J. Reggia "Guiding hidden layer representation for improved rule extraction from neural networks". IEEE Transactions on Neural Networks vol 22 issue 2, 2011.
• T. Huynh and J. Reggia. "Improving rule extraction from neural networks by modifying hidden layer representations". International Joint Conference in Neural Networks (IJCNN) 2009.
• T. Huynh and A. Roychoudhury. "Memory model sensitive bytecode verification". Formal methods in system design, vol 31 number 3, 12-2007.
• T. Huynh and A. Roychoudhury. "A memory model sensitive checker for C#". Formal Methods Symposium (FM) 2006. [Code]
• T. Huynh and R. Setiono. "Effective neural network pruning using cross-validation". International Joint Conference in Neural Networks (IJCNN) 2005.

Teaching (TA)

• CMSC 106 Introduction to C Programming
• CMSC 212 Introduction to Low Level Programming Concepts
• CMSC 421 Introduction to Artificial Intelligence
• CMSC 289i Rise of the Machines
• CMSC 422 Introduction to Machine Learning
• CMSC 132 Object Oriented Programming II
• CMSC 727 Neural Computation

Graduate classes taken

• Fall 2006
  • CMSC 714 High Performance Computing
  • CMSC 727 Neural Computation
• Spring 2007
  • CMSC 711 Computer Networks
  • CMSC 724 Database Management System
• Fall 2007
  • CMSC 726 Machine Learning
  • CMSC 858K Topics in Algorithms: Combinatorial Optimization
• Spring 2008
  • BIOL 608V Genetics and Evolution of Vocal Learning
  • CMSC 737 Fundamentals of Software Testing
• Fall 2008
  • CMSC 723 Computational Linguistics I
• Spring 2009
  • CMSC 828J Advanced Topic in Information Processing: Approaches to Representing and Recognizing Objects