SLOBODAN VUCETIC



Associate Professor

Address:
Department of Computer and Information Sciences
Center for Information Science and Technology
Temple University
1805 N. Broad Street, 304 Wachman Hall
Philadelphia, PA 19122-6094

Telephone: (215) 204-5535
Fax: (215) 204-5082
Email: vucetic (at) ist.temple.edu
Office: 304 Wachman Hall

Education

Ph.D., Electrical Engineering, Washington State University, 2001.

M.S., Electrical Engineering, University of Novi Sad, Serbia, 1997.

B.S., Electrical Engineering, University of Novi Sad, Serbia, 1994.


Resume


Research Interests

I am working on knowledge discovery problems in the fields of scientific data mining, bioinformatics, and web mining. Through this effort I am also trying to solve some of the more fundamental machine learning problems such as efficient knowledge discovery from large scale heterogeneous, biased, distributed, and incrementing databases. 

Publications

Current Research Projects:

Recent Highlights:


Students

Current Students:

For Prospective Students:

Research assistantships are available for highly qualified and motivated graduate students interested in data mining. Interested students are encouraged to contact me by e-mail.


Teaching

Spring 2008:    Algorithms (CIS3223). 

 

Fall 2007:    Machine Learning (CIS8526).

Spring 2007:    Introduction to Computing and Computer Programming (CIS071.001). 

Fall 2006:    Introduction to Computing and Computer Programming (CIS071.002). 

Spring 2006:    Introduction to Computing and Computer Programming (CIS071.004). 

Spring 2005:    Bioinformatics (CIS595). 

Spring 2005:    Data Management (CIS616). 

Fall 2004:        Data Warehousing, Filtering, and Mining (CIS527). 

Spring 2004:    Neural Computation (CIS525)

Fall 2003:        Machine Learning (CIS526)

Spring 2003:    Bioinformatics (CIS595)

Fall 2002:        Advanced Topics in Data Base Systems (CIS 670)

Spring 2002:    Machine Learning (CIS 595)

Spring 2002:    Introduction to Neural Networks (CIS 350.002)

Fall 2001:        Introduction to Data Mining (CIS 350).