Graduate Research

As a student in the Master of Science in Computer Science (MSCS) program, you may participate in research opportunities as part of your program requirements. The work will be done in collaboration and mentorship by a faculty and typically spans two quarters.

Project Resources:

Interested in learning more? Contact individual faculty for their research interests and availability.

Still have questions about the process? Contact Professor Zhu (zhuy@seattleu.edu).

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Selected Projects and Publications

 

Projects

GreenDraw: Applying Solar and Energy Storage to Reduce Demand Peaks and Cut Cost at Seattle University, 2018.

  • Student: Bailey Strom-Pillar
  • Advisor: Aditya Mishra

Smart Mirror: Employing Voice Recognition to Serve User-Centric Content in Smart Homes, 2018.

  • Student: Lenny Bogdanov
  • Advisor: Aditya Mishra

Implementation of Ping Pong using NEAT algorithms and Convolutional Neural Network, 2017 - 2018.

  • Student: Edward Guevara
  • Advisor: Lin Li

 

Publications

Philips, A., Zhu, Y. "An Evaluation Framework for Inter-Domain Link Congestion Detection Algorithms," Proceedings of the 14th International Symposium on Pervasive Systems, Algorithms, and Networks (I-SPAN), 2017. (Acceptance rate 29%)

Roshandel, R., Taylor, R. "User-Centric Monitoring of Sensitive Information Access in Android Applications," Proceedings of the 2ndACM International Conference on Mobile Software Engineering and Systems (MobileSoft 2015), Florence, Italy, 2015. (Acceptance rate 20%)

Zhu, Y., Mauri, J. "Backing Up Your Data to the Cloud: Want to Pay Less?", The 42nd International Conference on Parallel Processing (ICPP), 2013.

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.

graduate students pose for a photo following their MSCS research presentations

MSCS Students after presenting their research to faculty and peers at the Winter 2018 Graduate Project Final Presentation day.

My interest for this project came after taking the Artificial Intelligence class. I wanted to learn more about the NEAT and other Neural Network algorithms. Learning and implementing those algorithms has been a fun and rewarding experience. Professor Li has given me helpful advice throughout the project while allowing me to learn and implement the project myself.

Edward Guevara "Implementation of Ping Pong using NEAT algorithms and Convolutional Neural Network" MSCS '18