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Daniela Stan Raicu

Associate Professor // Visual Computing (VC), Artificial Intelligence
School of Computing
Daniela Stan Raicu
Email:
dstan@cdm.depaul.edu

Office:
CDM 718

Phone:
(312) 362-5512

Homepage:
http://facweb.cs.depaul.edu/Dstan

Advising Hours for the week of
3/31/2013 - 4/6/2013
M 3:00PM - 6:00PM at CDM 718
4/7/2013 - 4/13/2013
M 3:00PM - 6:00PM at CDM 718
4/14/2013 - 4/20/2013
M 3:00PM - 6:00PM at CDM 718
4/21/2013 - 4/27/2013
M 3:00PM - 4:30PM at CDM 718
M 5:00PM - 6:00PM at CDM 718
4/28/2013 - 5/4/2013
M 3:00PM - 6:00PM at CDM 718
5/5/2013 - 5/11/2013
M 3:00PM - 6:00PM at CDM 718
5/12/2013 - 5/18/2013
M 3:00PM - 6:00PM at CDM 718
5/19/2013 - 5/25/2013
M 3:00PM - 6:00PM at CDM 718
6/2/2013 - 6/8/2013
M 3:00PM - 6:00PM at CDM 718
<<
Current week
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Office Hours for the week of
3/31/2013 - 4/6/2013
M 1:30PM - 3:00PM at CDM 718
4/7/2013 - 4/13/2013
M 1:30PM - 3:00PM at CDM 718
4/14/2013 - 4/20/2013
M 1:30PM - 3:00PM at CDM 718
4/21/2013 - 4/27/2013
M 1:30PM - 3:00PM at CDM 718
4/28/2013 - 5/4/2013
M 1:30PM - 3:00PM at CDM 718
5/5/2013 - 5/11/2013
M 1:30PM - 3:00PM at CDM 718
5/12/2013 - 5/18/2013
M 1:30PM - 3:00PM at CDM 718
5/19/2013 - 5/25/2013
M 1:30PM - 3:00PM at CDM 718
6/2/2013 - 6/8/2013
M 1:30PM - 3:00PM at CDM 718
6/9/2013 - 6/15/2013
M 1:30PM - 3:00PM at CDM 718
<<
Current week
>>
Bio and Research Information
Daniela Stan Raicu is an Associate Professor of School of Computing, College of Computing and Digital Media at DePaul University, Chicago. She is the co-director of the Medical Informatics and the Intelligent Multimedia Processing Laboratories, and the Director of the Data Mining and Predictive Analytics Center at DePaul. Her research interests include medical imaging, multimedia retrieval, pattern recognition and data mining. Daniela's projects have been funded by the National Science Foundation (NSF), Argonne National Laboratory, Department of Education, and McArthur Foundation. She is the recipient of the DePaul Excellence in Teaching Award 2008 and the DePaul Spirit of Inquiry Award in 2010. She also serves on the National Council of the Upsilon Pi Epsilon (UPE) honor society in Computer and Information Sciences since 2008. Daniela holds a Ph.D. in Computer Science from Oakland University, Michigan, a M.A. in Computer Science from Wayne State University, Michigan, and a B.S. in Mathematics from University of Bucharest, Romania.

Research Area

Visual Computing (VC), Artificial Intelligence

Specific Research Areas

Medical Imaging,Content-based Multimedia Retrieval, Machine Learning, Computer Vision, Data Mining and Knowledge Discovery

Professional Associations

IEEE, SPIE, ACM
Schedule for Spring 2012-2013
Courses Taught at DePaul
Course Evaluations