Me, a PhD Candidate in the Department of Computer Science at the University of Iowa, and a graduate research assistant in Academic Technology - Research Group, ITS. I began my Ph. D. study in 2003. In 2005, I was awarded a Master degree of Computer Science. At present, I am working on my Ph. D. dissertation. Before I came to the US, I worked as a professional software engineer in China Construction Bank for more than 5 years.  

I am skilled in C++, Java, database and web application development. As a Ph. D. Candidate, my primary research area is Data Mining and Survival Analysis. The other research fields are resource discovery in large-scale Peer-to-Peer system and Grids, Parallel technologies, and medical imaging application development. I am also interested in the algorithm design of Linear Programming, Dynamic Programming and Statistics  

My hobbies are hiking, biking, stamp collection, computer games, reading (fiction and nonfiction) and watching movies.

My contact information is

         NOW I AM FULL-TIME WORKING IN HUNSTMAN CANCER INSTITUE IN UNIVERISTY OF UTAH

          tao.he@hci.utah.edu

 

My PhD dissertation advisor is

Prof. Oliveira  

My Master advisors are

Prof. Ni   Prof. Segre

 

 

MY COMPUTER SKILLS

C/C++ and their libraries: MFC, STL, Boost, wxWidges, etc

Distributed programming on MPI (MPICH1 and MPICH2)

Grid computing with Globus, Condor-G, VDT, OSG

Java enterprise application development with EJB3, Hibernate, Spring, JSP, JSF, and AJAX

Graphic programming with VTK, which is an object-wrap library over OpenGL

Database: MS SQL Server, Oracle, MySQL, PostgreSQL, Informix, Sybase and DB2

Administrator of LINUX Clusters (Rocks, Fedora, SUSE)

Data Mining Tools: Weka, SAS, Yale

Statistics Language: SAS, R, S-Plus, and SPSS

Others: XML, SQL, Perl, Python, C#, ASP.Net, Visual Basic.Net, PHP, Delphi, J2ME, etc

 

ACADEMIC/PROFESSIONAL AFFILIATIONS

  

Member of CT/Micro-CT Laboratory

 Member of MiHPC Laboratory

Affiliated Member of the Grid Research and educatiOn group @ IoWa, GROW, http://grow.its.uiowa.edu/index.shtml