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The Undergraduate Research Opportunities

  • Fall 2006
Faculty Project Prerequisites/ Add. Info Type of Support
Aliaga, D.
aliaga@cs.purdue.edu
http://www.cs.purdue.edu/homes/aliaga

Some computer graphics or mathematics background

CS 490/497

Aref, W.

aref@cs.purdue.edu

Bioinformatics Project

CS 348 or CS 448  CS 490/497
Atallah, M.
 
No projects available at this time    

Bhargava, B.
bb@cs.purdue.edu

See areas of interest:

http://www.cs.purdue.edu/people/bb

Procedure for project:

http://www.cs.purdue.edu/people/bb

(scroll down to the bottom of the his page)

CS 490/497

CERIAS http://www.cerias.purdue.edu/homes/poly2/ More CERIAS information  
CERIAS Biometrics API (BioAPI) http://www.biotown.purdue.edu/research/java.html  

Clifton, C.

clifton@cs.purdue.edu

Areas of interest: Data Mining, Database, and Privacy & Security.
For details see: http://www.cs.purdue.edu/people/clifton

See suggestion of project:

http://www.cs.purdue.edu/people/clifton#projects

CS 490/497
Comer, D.

No projects available at this time

   
Dunsmore,H.
bxd@cs.purdue.edu
Web programming using scripting languages, servlets, and databases Junior or Senior standing. Contact Janice Thomaz (thomaz@cs.purdue.edu) in order to form Project Groups. CS 490/497
Eugster, P.
peugster@cs.purdue.edu
Programming languages and/for distributed systems
http://www.cs.purdue.edu/homes/peugster
CS352 or CS456; CS354 or CS422 CS 490/497
Hoffmann, C.

cmh@cs.purdue.edu

Graphics and visualization / 3D volumetric display CS 334. Student should be knowledgeable in graphic programming. CS 490/497

Hosking, T.
hosking@cs.purdue.edu

Programming language implementation: compilers, garbage collection, back-end retargetting (to gcc and/ or .NET), threads, applications CS 352 highly desired CS 490/497
Jagannathan, S.
suresh@cs.purdue.edu
programming languages and implementation, concurrent/distributed programming, formal methods CS 352 and CS 456 (desirable) CS 490/CS 497, and NSF REU
Kihara, D.

dkihara@purdue.edu

Bioinformatics projects: Protein structure prediction, modeling, Genome sequence analysis, Metabolic pathway analysis Programming Skills
http://www.cs.purdue.edu/faculty/dkihara.html
CS 490/497

Li, Z.
li@cs.purdue.edu

1) Programming tools for sensor networks.
2) Programming tools and performance evaluation for high performance computing.
CS250 required. CS352 or CS354 highly desired. REU for US citizens or permanent residents/ CS490 for others
Nita-Rotaru, C.
crisn@cs.purdue.edu
http://projects.cerias.purdue.edu/ds2/projects.html Network programming, some security background.  
Pandurangan, G.

gopal@cs.purdue.edu

Network algorithms

Web modeling and algorithms

 Bioinformatics
 

Good performance in CS381 and programming skills

http://www.cs.purdue.edu/people/gopal

CS 490/497

Popescu, V.
popescu@cs.purdue.edu
Computer graphics, image-based rendering, reflection rendering, interactive automated modeling, simulation visualization http://www.cs.purdue.edu/cgvlab/projects.htm CS 490/497
Sacks, E.
eps@cs.purdue.edu
-Computational Geometry & Graphics Programming
-Robot Path Planning: Programming & Graphics
Program in C++, graphics course helpful NSF REU
Spafford, G.
spaf@cs.purdue.edu
Poly^2 project - Senior Standing.

Other projects are also available for students who are after research experience.

Take a look at the policy page at: http://www.cerias.purdue.edu/homes/spaf/courses.html CS 490/497 and/or Research Experience

Sun, Y.

sun@cs.purdue.edu

Biomedical imaging, neuroimaging, flow visualization, photorealistic graphics Math and programming skills
http://www.cs.purdue.edu/homes/sun/
CS 490/497
 

Vitek, J.

jv@cs.purdue.edu

Programming languages, real-time systems, software engineering. CS 352 or CS 456. Good programming Skills.

CS 490/497

 

Research opportunities outside the CS department ~ Fall 2006

Bina, M.

bina@purdue.edu

Bioinformatics Project

http://www.chem.purdue.edu/bina/

Familiarity with programming in C (or perl) and creating databases CHM 499
Doerge, R. W.
doerge@stat.purdue.edu

Statistical Bioinformatics

http://www.stat.purdue.edu/~doerge/

Interest in bioinformatics, genetics, genomics, math, cs, statistics and combination of these. Research Experience and possibly credits.
Xie, Jun
junxie@stat.purdue.edu

Department of Statistics Project:

Iterated dynamic programming for identifying protein motifs in multiple sequences.

Good C programming skills. Knowing Perl is also preferred.
funded or credits