Diane Woodbridge

Assistant Professor

Full-Time Faculty

(415) 422-4812 101 Howard, 522

Biography

Diane Woodbridge is an assistant professor in the MS in Data Science program at the University of San Francisco. Her research interests include database management systems, data fusion and data mining in various domains including biomedical, geoscience and geospatial remote sensing. Prior to joining USF, Professor Woodbridge was with the scalable analysis and visualization department at Sandia National Laboratories.

Education
PhD, Computer Science, University of California, Los Angeles
MS, Computer Science, University of California, Los Angeles
BS, Computer Science and Engineering, Sogang University, South Korea
Publications

Ma, J., Ovalle, A., Woodbridge, D.M. (2018). Medication adherence monitoring using machine learning. IEEE International Conference on Biomedical and Health Informatics (BHI), Las Vegas.

Chen, L., Li, R., Liu, Y., Zhang, R., Woodbridge, D.M. (2017). Machine learning-based product recommendation using Apache Spark. IEEE UIC International Workshop on Data Science and Computational Intelligence (DSCI), San Francisco.

Brost, R., Phillips, C., Robinson, D., Stracuzzi, D., Wilson, A. and Woodbridge, D.M. (2015). "Computing Quality Scores and Uncertainty for Approximate Pattern Matching in Geospatial Semantic Graphs." Statistical Analysis and Data Mining (SADM), 8(5-6), 340-352.

Woodbridge, D.M., Wilson, A.T., Rintoul, M.D. and Goldstein, R.H. (2015). Time Series Discord Detection in Medical Data using a Parallel Relational Database. Presented at IEEE International Conference on Bioinformatics and Biomedicine, Washington, DC.

Brost, R.C., McLendon, W.C., III, Parekh, O., Rintoul, M.D., Strip, D.R. and Woodbridge, D.M. (2014). A Computational Framework for Ontologically Storing and Analyzing Very Large Overhead Image Sets. Presented at ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, Dallas.

Lindsay, S. and Woodbridge, D.M. Spacecraft State-of-health (SOH) Analysis via Data Mining. (2014). Presented at AIAA International Conference on Space Operations (SpaceOps), Pasadena.

Suh, M., Nahapetian, A., Woodbridge, J., Rofouei, M. and Sarrafzadeh, M. (2012). "Machine Learning-Based Adaptive Wireless Interval Training Guidance System." Mobile Networks and Applications, 17(2), 163-177.

Suh, M., Woodbridge, J., Moin, T., Lan, M., Alshurafa, N., Samy, L., Mortazavi, B., Ghasemzadeh, H., Bui, A., Ahmadi, S. and Sarrafzadeh, M. (2012). Dynamic Task Optimization in Remote Diabetes Monitoring Systems. Presented at IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB), San Jose.

Suh, M., Moin, T., Woodbridge, J., Lan, M., Ghasemzadeh, H., Ahmadi, S., Bui, A., and Sarrafzadeh, M. (2012). Dynamic Self-adaptive Remote Health Monitoring System for Diabetics. Presented at International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego.

Lan, M., Samy, L., Alshurafa, N., Suh, M., Ghasemzadeh, H., Sarrafzadeh, M. and Macabasco-O'Connell, A. (2012). WANDA: An End-to-End Remote Health Monitoring and Analytics System for Heart Failure Patients. Presented at Wireless Health Conference, San Diego.

Suh, M., Chen, C.A., Woodbridge, J., Tu, M.K., Kim, J.I., Nahapetian, A., Evangelista, L.S. and Sarrafzadeh, M. (2011). "A Remote Patient Monitoring System for Congestive Heart Failure." Journal of Medical Systems, 35(5), 1165-1179.

Suh, M., Woodbridge, J., Lan, M., Bui, A., Evangelista, L.S. and Sarrafzadeh, M. (2011). Missing Data Imputation for Remote CHF Patient Monitoring. Presented at International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Boston.

Suh, M., Evangelista, L.S., Chen, C.A., Han, K., Kang, J., Tu, M.K., Chen, V., Nahapetian, A. and Sarrafzadeh, M. (2010). An Automated Vital Sign Monitoring System for Congestive Heart Failure Patients. Presented at ACM SIGHIT International Health Informatics Symposium (IHI), Miami.

Suh, M., Evangelista, L.S., Chen, V., Hong, W.S., Macbeth, J., Nahapetian, A., Figueras, F.J. and Sarrafzadeh, M. (2010). WANDA B.: Weight and Activity with Blood Pressure Monitoring System for Heart Failure Patients. Presented at The Second International IEEE WoWMoM Workshop on Interdisciplinary Research on E-Health Services and Systems (IREHSS), Lucca, Italy.

Suh, M.K., Lee, K., Heu, A., Nahapetian, A. and Sarrafzadeh, M. (2009). Bayesian Networks-Based Interval Training Guidance System for Cancer Rehabilitation. Presented at Conference on Mobile Computing, Applications, and Services (MobiCASE), San Diego.

Dorman, K., Yahyanejad, M., Nahapetian, A., Suh, M., Sarrafzadeh, M., McCarthy, W. and Kaiser, W. (2009). Nutrition Monitor: A Food Purchase and Consumption Monitoring Mobile System. Presented at Conference on Mobile Computing, Applications, and Services (MobiCASE), San Diego.

Suh, M., Lee, K., Nahapetian, A. and Sarrafzadeh, M. (2009). Interval Training Guidance System with Music and Wireless Group Exercise Motivations. Presented at IEEE Symposium on Industrial Embedded Systems (SIES), Lausanne, Switzerland.

Suh, M., Rofouei, M., Nahapetian, A., Kaiser, W.J. and Sarrafzadeh, M. (2009). Optimizing Interval Training Protocols Using Data Mining Decision Trees. Presented at Body Sensor Networks (BSN).

Awards & Distinctions

Best Paper Award, ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2014.

Best Paper Award, Conference on Mobile Computing, Applications, and Services (MobiCASE), 2009.

NIH/National Library of Medicine Medical Informatics Training Program Fellowship, 2009-2012.