Diane Myung-kyung Woodbridge, Ph.D

Assistant Professor, MS in Data Science, University of San Francisco

Biography

Diane Woodbridge is an assistant professor in the Master of Science in Data Science program at the University of San Francisco. Her research interests include database management systems, data fusion and machine learning 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.

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

Journal Publications


  1. LIDS: A Light-Weight Sensor System for Co-Monitoring of Liquid Intake Type and Volume. Mahdi Pedram, Ali Rokni, Ramin Fallahzadeh, Diane Myung-kyung Woodbridge, Hassan Ghasemzadeh. Under Submission.
  2. A Scalable Smartwatch-based Medication Adherence Monitoring System using Distributed Machine Learning. Donya Fozoonmayeh, Hai Vu Le, Ekaterina Wittfoth, Chong Geng, Natalie Ha, Jingjue Wang, Maria Vasilenko, Yewon Ahn, Diane Myung-kyung Woodbridge. Journal of Medical Systems (JOMS). 2020.
  3. Computing Quality Scores and Uncertainty for Approximate Pattern Matching in Geospatial Semantic Graphs. Randolph C. Brost, Cynthia A. Phillips, David G. Robinson, David J. Stracuzzi, Alyson G. Wilson, Diane Myung-kyung Woodbridge. Statistical Analysis and Data Mining (SADM). 2015.
  4. Machine Learning-Based Adaptive Wireless Interval Training Guidance System. Myung-kyung Suh, Ani Nahapetian, Jonathan Woodbridge, Mahsan Rofouei, Majid Sarrafzadeh. Mobile networks and applications (MONET). 2011. [PDF]
  5. A Remote Patient Monitoring System for Congestive Heart Failure. Myung-kyung Suh, Chien-An Chen, Jonathan Woodbridge, Michael Kai Tu, Jung In Kim, Ani Nahapetian, Lorraine S. Evangelista, Majid Sarrafzadeh. Journal of Medical Systems (JOMS). 2011. [PDF]

Peer-Reviewed Conference and Workshop Publications


  1. A Machine Learning Approach to Detecting Low Medication State with Wearable Technologies. Andy Cheon, Stephanie Yeoju Jung, Collin Prather, Matt Sarmiento, Kevin Wong, Diane Woodbridge. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). July 2020.
  2. Sensor Selection for Activity Classification at Smart Home Environments. Nithish Bolleddula, Geoffrey Hung, Daren Ma, Hoda Noorian, Diane Woodbridge. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). July 2020.
  3. Predicting Unethical Physician Behavior At Scale: A Distributed Computing Framework. Anastasia Quinn Keck, Miguel Romero, Robert Sandor, Diane Myung-kyung Woodbridge, Paul Intrevado. IEEE Smart World Congress. August 2019.
  4. A Scalable and Reliable Model for Real-time Air Quality Prediction. Liying Li, Zhi Li, Lara G. Reichmann, Diane Myung-kyung Woodbridge. IEEE Smart World Congress. August 2019.
  5. The Impact of Bike-Sharing Ridership on Air Quality: A Scalable Data Science Framework. Nina Hua, Victoria Suarez, Rebecca Reilly, Philip Trinh, Paul Intrevado, Diane Myung-kyung Woodbridge. IEEE International Conference on Smart City Innovations. August 2019.
  6. Distributed Data Analytics Framework for Cluster Analysis of Parking Violation. Nan Lin, Evan Liu, Fiorella Tenorio, Xi Yang, Diane Woodbridge. IEEE International Conference on Smart City Innovations. August 2019.
  7. Scalable Real-time Prediction and Analysis of San Francisco Fire Department Response Times. Xu Lian, Sarah Melancon, Jon-Ross Presta, Adam Reevesman, Brian J. Spiering, Diane Myung-kyung Woodbridge. IEEE International Conference on Ubiquitous Intelligence and Computing. August 2019.
  8. Scalable Motor Movement Recognition from Electroencephalography using Machine Learning. Aditi Sharma, Shivee Singh, Brian Wright, Alan Perry, Diane Myung-Kyung Woodbridge, Abbie Popa. IEEE International Workshop on Integrated Smart Healthcare (WISH). July 2019.
  9. A Scalable Automated Diagnostic Feature Extraction System for EEGs. Prakhar Agrawal, Divya Bhargavi, Gokul Krishna G, Xiao Han, Neha Tevathia, Abbie Popa, Nicholas Ross, Diane Myung-Kyung Woodbridge, Barbie Zimmerman-Bier and William Bosl. IEEE International Workshop on Medical Computing (MediComp). July 2019.
  10. Topic Modeling to Extract Information from Nutraceutical Product Reviews. Deena Liz John, Ernest Kim, Kunal Kotian, Ker Yu Ong, Tyler White, Luba Gloukhova, Diane Myung-kyung Woodbridge, Nicholas Ross. IEEE Consumer Communications and Networking Conference (CCNC). January 2019.
  11. Medhere : A Smartwatch-based Medication Adherence Monitoring System using Machine Learning and Distributed Computing. Jinxin Ma, Anaelia Ovalle, Diane Myung-kyung Woodbridge. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2018.
  12. Distributed Data Analytics Framework for Smart Transportation. Alexander Howard, Tim Lee, Sara Mahar, Paul Intrevado, Diane Woodbridge. IEEE International Conference on Smart City (SmartCity). 2018.
  13. Forecasting Smart Meter Energy Usage using Distributed Systems and Machine Learning. Chris Dong, Lingzhi Du , Feiran Ji , Zizhen Song, Yuedi Zheng, Paul Intrevado, Diane Woodbridge. IEEE International Conference on Smart City (SmartCity). 2018.
  14. Medication Adherence Monitoring using Machine Learning. Jinxin Ma, Anaelia Ovalle, Diane Myung-kyung Woodbridge. IEEE International Conference on Biomedical and Health Informatics (BHI). 2018. [PDF]
  15. Machine Learning-Based Product Recommendation using Apache Spark. Lin Chen, Rui Li, Yige Liu, Ruixuan Zhang, Diane Myung-kyung Woodbridge. IEEE UIC International Workshop on Data Science and Computational Intelligence (DSCI). 2017. [PDF]
  16. Time Series Discord Detection in Medical Data using a Parallel Relational Database. Diane Myung-kyung Woodbridge, Andrew T. Wilson, Mark D. Rintoul, Richard H. Goldstein. IEEE BIBM International Workshop on High Performance Bioinformatics and Biomedicine (HiBB). 2015. [PDF]
  17. A Computational Framework for Ontologically Storing and Analyzing Very Large Overhead Image Sets. Randy C. Brost, William C. McLendon III, Ojas Parekh, Mark D. Rintoul, David R. Strip, Diane Myung-kyung Woodbridge. ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data. 2014. [PDF]
  18. Spacecraft State-of-health (SOH) Analysis via Data Mining. Steve Lindsay, Diane Myung-kyung Woodbridge. AIAA International Conference on Space Operations(SpaceOps). 2014. [PDF]
  19. Dynamic Task Optimization in Remote Diabetes Monitoring Systems . Myung-kyung Suh, Jonathan Woodbridge, Tannaz Moin, Mars Lan, Nabil Alshurafa, Lauren Samy, Bobak Mortazavi, Hassan Ghasemzadeh, Alex Bui, Sheila Ahmadi, Majid Sarrafzadeh. IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB). 2012. [PDF]
  20. Dynamic Self-adaptive Remote Health Monitoring System for Diabetics. Myung-kyung Suh, Tannaz Moin, Jonathan Woodbridge, Mars Lan, Hassan Ghasemzadeh, Sheila Ahmadi, Alex Bui, Majid Sarrafzadeh. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2012. [PDF]
  21. WANDA: An End-to-End Remote Health Monitoring and Analytics System for Heart Failure Patients. . Wireless Health. 2012. [PDF]
  22. Missing Data Imputation for Remote CHF Patient Monitoring . Myung-kyungSuh, Jonathan Woodbridge, Mars Lan, Alex Bui, Lorraine S. Evangelista, MajidSarrafzadeh. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2011. [PDF]
  23. An Automated Vital Sign Monitoring System for Congestive Heart Failure Patients . Myung-kyung Suh, Lorraine S. Evangelista, Chien-An Chen, Kyungsik Han, Jinha Kang, Michael Kai Tu, Victor Chen, Ani Nahapetian, Majid Sarrafzadeh. ACM SIGHIT International Health Informatics Symposium (IHI). 2010. [PDF]
  24. WANDA B.: Weight and Activity with Blood Pressure Monitoring System for Heart Failure Patients. Myung-kyung Suh, Lorraine S. Evangelista, Victor Chen, Wen-Sao Hong, Jamie Macbeth, Ani Nahapetian, Florence-Joy Figueras, Majid Sarrafzadeh. The Second International IEEE WoWMoM Workshop on Interdisciplinary Research on E-Health Services and Systems (IREHSS). 2010. [PDF]
  25. Bayesian Networks-Based Interval Training Guidance System for Cancer Rehabilitation . Myung-kyung Suh, Kyujoong Lee, Alfred Heu, Ani Nahapetian, Majid Sarrafzadeh. Conference on Mobile Computing, Applications, and Services (MobiCASE). 2009. [PDF]
  26. Nutrition Monitor: A Food Purchase and Consumption Monitoring Mobile System. Kyle Dorman, Marjan Yahyanejad, Ani Nahapetian, Myung-kyung Suh, Majid Sarrafzadeh, William McCarthy, William Kaiser. Conference on Mobile Computing, Applications, and Services (MobiCASE). 2009. [PDF]
  27. Interval Training Guidance System with Music and Wireless Group Exercise Motivations . Myung-kyung Suh, Kyujoong Lee, Ani Nahapetian, Majid Sarrafzadeh. IEEE Symposium on Industrial Embedded Systems (SIES). 2009. [PDF]
  28. Optimizing Interval Training Protocols Using Data Mining Decision Trees. Myung-kyung Suh, Mahsan Rofouei, Ani Nahapetian, William J. Kaiser, Majid Sarrafzadeh. Body Sensor Networks (BSN) . 2009. [PDF]

Teaching

Distributed Computing

MSDS 694
Winter 2017, Fall 2017, Fall 2018

Distributed Data Systems

MSDS 697
Winter 2018, Winter 2019

NoSQL Database

MSAN 697
Fall 2016

Product Analytics

MSDS 603
Spring 2019

Data Science App Development

MSAN 698
Spring 2018

Web Analytic

MSAN 694
Summer 2017

Awards

  • Systers Pass-it-on Award, Anita Borg Institue for Women and Technology, 2018.
  • Jesuit Foundation Grant, 2017.
  • Best Paper Award, ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2014.
  • NIH/National Library of Medicine Medical Informatics Training Program Fellowship, 2009 - 2012.
  • Best Paper Award, Conference on Mobile Computing, Applications, and Services (MobiCASE), 2009.
  • Member of Alpha Sigma Nu

Contact

Address : 101 Howard St. #522, San Francisco, CA 94105
Phone : (415) 422-4812
E-mail : dwoodbridge {at} usfca {dot} edu
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