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    Heng Huang
    Associate Professor, University of Texas, Arlington
    Department of Computer Science and Engineering
Brief Biography:

Heng Huang received his Ph.D. in Computer Science from Dartmouth College in 2006, and his M.S. and B.S. from Shanghai Jiao Tong University.

Contact Information:

Office: 533 ERB Building, 500 UTA Blvd., Arlington, TX, 76019, Phone: (817) 272-7287,    Email: heng@uta.edu
Current/Upcoming Classes:

Spring 14: CSE2315 Discrete Structures
Spring 14: CSE6389 Advanced Topics in Machine Learning, Data Mining, and Computer Vision
Research Interests:

Data Mining, Machine Learning, Big Data
Bioinformatics, System Biology
Computer Vision, Medical Image Analysis
Health Informatics, Electronic Medical Records, Smart Healthcare
Computational Sustainability
Supervised Students:

Nha Nguyen (PhD, Postdoc Researcher at University of Pennsylvania)
Vangelis Metsis (PhD, co-advising with Dr. Fillia Makedon, Faculty Research Associate at UTA)
Hua Wang (PhD, Assistant Professor in EECS at Colorado School of Mines)
Dijun Luo (PhD, Data Scientist at WhaleShark Media)
Xiao Cai (PhD, Research Scientist at Abbott Lab)
De Wang (PhD Student)
Xiaoqian Wang (PhD Student)
Jianjun Yuan (PhD Student)
Information for Future Students:

I am looking for Postdoc, PhD students, motivated for doing research in the areas of machine learning, bioinformatics, computer vision, and biomedical image analysis. If you are interested, please contact me.

If you are UTA master students and are looking for master thesis topics, please feel free to contact me.

News:

Three papers were accepted by ICML 2014.

Three papers were accepted by AAAI 2014.

One paper was accepted by CVPR 2014.

One paper was accepted by RECOMB 2014.

We have top research ranking based on the past five-year publications at:

Machine Learning (ranks 19th in 2014, ranks 16th in all North America universities)
Data Mining (ranks 19th in 2014, ranks 15th in all North America universities)

Recent Conferences related to my research:

ICML, full research papers due October 4 and January 31
RECOMB, full research papers due October 19
CVPR, full research papers due November 1
AAAI, abstract due January 31, full research papers due February 4
KDD, abstract due February 13, full research papers due February 21
MICCAI, full research papers due February 28
ECCV, full research papers due March 7
UAI, full research papers due March 19
ECCB, full research papers due March 28
NIPS, full research papers due June 6
CIKM, abstract due June 4, full research papers due June 11
ICDM, full research papers due June 24
AAAI'15, abstract due September 10, full research papers due September 15

In computer science, papers in top conferences have higher quality than most journals.
For reference purpose, there are some reasonable public CS conference ranking lists: Ref1, Ref2, Ref3, Ref4; also one CS journal ranking list: Ref5.