Computer Science Undergraduate Research

Students in the Computer Science Department have a range of opportunities to participate in summer or year-round research supervised by faculty.

Selected Projects and Publications

Projects

Protecting Data Privacy Against Third Party Code in Streaming Analysis Applications, 2019.

  • Student: Emma Zucati
  • Advisor: Dave Lillethun

GeoFog: a Location-Aware Distributed Data Store, 2018.

  • Student: Carrie Smith
  • Advisor: David Lillethun

Employing Renewables in Smart Buildings to Cut Grid Load, 2018.

  • Student: Mridula Shekhar
  • Advisor: Aditya Mishra

Automated Microaneurysm Detection in Fundus Images by Region Growing, 2017.

  • Student: Jacqueline Au
  • Advisor: Lin Li

Security in IoT: Modeling User Behavior, 2017.

  • Students: Jonathan Kuc & Thomas Matsumiya
  • Advisor: Roshanak Roshandel

A Case for Employing Renewables to Cut the Electricity Bill in Seattle University, 2017.

  • Student: Hang Thi Thu Nguyen
  • Advisor: Aditya Mishra

Predicting Blood Glucose Level in Diabetic Patients using Neural Network, 2016.

  • Student: Hai T. Tran
  • Advisor: Lin Li

Diagnosis of diabetes using a Weight-Adjusted Voting Approach, 2015 - 2016.

  • Student: Suresh Trilok
  • Advisor: Lin Li

Publications

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 28thNational 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.