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    Heng Huang
    Professor, Computer Science and Engineering, University of Texas at Arlington
    Adjunct Professor, Clinical Sciences, University of Texas Southwestern Medical Center
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:
Current/Upcoming Classes:

Fall 15: CSE6363 Machine Learning
Research Interests:

Big Data Mining, Machine Learning, Data Science
Bioinformatics, System Biology
Neuroinformatics, Neurotechnology
Health Informatics, Electronic Medical Records, Smart Healthcare
Computer Vision, Medical Image Analysis
Computational Sustainability
Natural Language Processing

Five papers were accepted by AAAI 2016.

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

Machine Learning (ranked 18th in 2014, ranked 16th in all North America universities)
Data Mining (ranked 19th in 2014, ranked 15th in all North America universities)

Supervised Students:
Current Students:
De Wang (PhD Student)
Xiaoqian Wang (PhD Student)
Hongchang Gao (PhD Student)
Graduated Students:
Nha Nguyen (PhD'10, First Employment: Postdoc Researcher at University of Pennsylvania)
Vangelis Metsis (PhD'11, First Employment: Assistant Professor in CS at Texas State University)
Hua Wang (PhD'12, First Employment: Assistant Professor in EECS at Colorado School of Mines)
Dijun Luo (PhD'12, First Employment: Data Scientist at WhaleShark Media)
Xiao Cai (PhD'13, First Employment: Research Scientist at Abbott Lab)
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.

Recent Conferences related to my research:

AAAI, abstract due September 10, full paper due September 15
RECOMB, full paper due October 26
CVPR, full paper due November 6
NAACL, full paper due January 6
SIGIR, abstract due January 14, full paper due January 21
IJCAI, abstract due January 27, full paper due February 2
ISMB, full paper due January
ICML, full paper due February 5
KDD, full paper due February
ACL, full paper due March 18

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.