Kaz Okada

Dr. Okada
Graduate Admissions/Graduate Adviser
Biomedical Image Analysis, Pattern Recognition, Machine Learning, Computer Vision

Contact Information

(415) 338-7687

Office Information: 

Thornton Hall
Room Number: 
Office Hours: 
Tuesday: 14:00-15:00
Thursday: 14:00-15:00
Advising Hours: by Appointment only

Recent Projects


  1. A. Mansoor, G. F. Perez, K. Pancham, A. Jain, K. Okada, M.G. Linguraru, G. R. Nino, (2016), Automated Lung Segmentation and Longitudinal Air Trapping Quantification in Chronic Lung Disease of Prematurity, In proc. American Thoracic Society International Conference, pp A4575, 2016
  2. D. Petkovic, M. Sosnick-Perez, K. Okada, R. Todtenhoefer, N. Miglani**, A. Vigil**, (2016), Using the Random Forest Classifier to Assess and Predict Student Learning of Software Engineering Teamwork, In proc. Frontiers in Education Conference (FIE), 2016
  3. I. Donovan*, K. Valenzuela*, A. Ortiz*, S. Dusheko*, H. Jing, K. Okada, X. Zhang, MyoHMI: A Low-Cos and Flexible Platform for Developing Real-Time Human Machine Interface for Myoelectric Controlled Applications, In proc. IEEE Int Conf  System, Man and Cybernetics (SMC), 2016
  4. K. Okada, S. Rysavy*, A. Flores*, MG. Linguraru, Noninvasive differential diagnosis of dental periapical lesions in cone-beam CT scans, Medical Physics, 42(4): 1653-1665 (2015)


  1. Ken Fong Translational Research Fund, San Francisco State University (2016), Integrating Grid Sensing and Machine Learning for Neural-Controlled Artificial Arms, role: PI with PI Xiaorong Zhang (funded $20000)
  2. Center for Advancing Women for Technology (2016), Improving Diversity in the Computing Industry; Attracting Female Biology Students to Computer Science, Role: Co-PI with PI Dr. Yoon and Co-PIs Drs Kulkarni, Pennings and Domingo, Funded $354,450.
  3. Pilot Research Awards for Faculties of Children’s National and the George Washington University, Clinical and Translational Science Institute at Children’s National (2015), Molecular, Clinical and Imaging Biomarkers of Severity of Viral Respiratory Illness in Children, Role: Consultant, with Co-PI Dr. Gustavo Nino, Co-PI Dr. Marius G. Linguraru. Funded $49,975.
  4. NSF TUES program (2012-2015), Collaborative Research: Transforming the Understanding, Assessment and Prediction of Teamwork Effectiveness in Software Engineering Education using Machine Learning, role: Co-PI, with PI D. Petkovic and co-PI S. Huang (Florida Atlantic Univ), Total Fund $199,696


Dr. Okada Website