Fuller Laboratories, 232
- Associate Professor, Computer Science
- Affiliated with:
Carolina Ruiz's research interests are in data mining, machine learning, and artificial intelligence. Together with her graduate and undergraduate students, colleagues in computer science and biology, and medical doctors, Ruiz investigates and develops data mining algorithms for genomics and for clinical medicine. In addition to being a faculty member in computer science, she is a founder and active member of the bioinformatics and computational biology program at WPI. She enjoys teaching courses, and advising undergraduate and graduate research projects in data mining and machine learning.
- Data Mining
- Machine Learning
- Artificial Intelligence
- Clinical Medicine
- BS, Computer Science, Universidad de Los Andes, 1988
- BS, Mathematics, Universidad de Los Andes, 1989
- MS, Computer Science, Universidad de Los Andes, 1990
- Ph.D., Computer Science, University of Maryland College Park, 1996
- Y. Gong, J. Beck, C. Ruiz. "Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy." Proc. of the 20th Conference on User Modeling, Adaptation, and Personalization (UMAP 2012). Montreal, Canada. July 16-20, 2012.
- S.A. Alvarez, C. Ruiz , T. Kawato, and W. Kogel. Neural expert networks for faster combined collaborative and content based recommendation. Journal of Computational Methods in Sciences and Engineering (JCMSE). IOS Press. Vol. 11, N. 4, pp. 161-172. 2011.
- Z. Guo, M. Ward, E. Rundensteiner, C. Ruiz. "Pointwise Local Pattern Exploration for Sensitivity Analysis", (acceptance rate = 32%). Proc. IEEE Conference on Visual Analytics Science and Technology (IEEE VAST2011). Providence, RI, Oct. 23-28, 2011.
- A. Khasawneh, S. A. Alvarez, C. Ruiz, S. Misra, and M. Moonis. "EEG and ECG Characteristics of Human Sleep Composition Types", full paper (acceptance rate = 48/538 = 8.92%). Proc. Fourth International Conference on Health Informatics (HEALTHINF 2011), in conjunction with the Fourth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2011), pp. 97-106, Rome, Italy, Jan. 26-29, 2011. *Best Paper Award*
- J. Hayward, S. A. Alvarez, C. Ruiz, M. Sullivan, J. Tseng, and G. Whalen. "Machine Learning of Clinical Performance in a Pancreatic Cancer Database", Artificial Intelligence in Medicine, vol. 49, issue 3, pp. 187-195, July 2010.
Labs and Centers
- BCB 4003. BIOLOGICAL AND BIOMEDICAL DATABASE MINING
- BCB 503. BIOLOGICAL AND BIOMEDICAL DATABASE MINING
- CS 2223. ALGORITHMS
- CS 4445. DATA MINING AND KNOWLEDGE DISCOVERY IN DATABASES
- CS 4803. BIOLOGICAL AND BIOMEDICAL DATABASE MINING
- CS 534. ARTIFICIAL INTELLIGENCE
- CS 539. MACHINE LEARNING
- CS 548. KNOWLEDGE DISCOVERY AND DATA MINING
- CS 583. BIOLOGICAL AND BIOMEDICAL DATABASE MINING
- DR CR. DIRECTED RESEARCH/GRADUATE