Students in the Computer Science Department have a range of opportunities to participate in summer or year-round research supervised by faculty. For paid or credit-based opportunities and current research interests please contact individual faculty.
Protecting Data Privacy Against Third Party Code in Streaming Analysis Applications, 2019.
GeoFog: a Location-Aware Distributed Data Store, 2018.
Employing Renewables in Smart Buildings to Cut Grid Load, 2018.
Automated Microaneurysm Detection in Fundus Images by Region Growing, 2017.
Security in IoT: Modeling User Behavior, 2017.
A Case for Employing Renewables to Cut the Electricity Bill in Seattle University, 2017.
Predicting Blood Glucose Level in Diabetic Patients using Neural Network, 2016.
Diagnosis of diabetes using a Weight-Adjusted Voting Approach, 2015 - 2016.
Au, J., Li, L., "Automated Microaneurysm Detection in Fundus Images by Region Growing," College of Science and Engineering Undergraduate Research Poster Session 2017.
Tran, H.T., Li, L., "Predicting Blood Glucose Level in Diabetic Patients using Neural Network," Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016), Orlando, FL, August 16 – 20, 2016. (accepted as a poster)
Dankel, S., Roshandel, R., Larson, E. "Over-privileged Apps: An Easy Way in for Mobile Malware?" The 28th National Conference on Undergraduate Research, NCUR 2014; Seattle University Undergraduate Research Conference, SUURA 2014.
Markides, L., Stetson, L., Zielinski, K., Mattmann, C., Roshandel, R. "On the Granularity of Markov-based Reliability Models", Proceedings of the 21st International Symposium on Software Reliability Engineering (ISSRE 2010), San Jose, CA, November 2010.
Automated Microaneurysm Detection in Fundus Images through Region Growing, 2017. Jacqueline Au.
IoT Security and Privacy, 2017. Jonathan Kuc and Thomas Matsumiya.