Spring 2016 Research Hypothesis Course Results in 11 Student IEEE Publications

The department is excited to announce that eleven student research papers were chosen for presentation at the IEEE International Conference on Information Society (i-Society-2016) in Dublin, Ireland in October.

Publications can be found on IEEE Xplore Digital Library.

In the Spring 2016 semester, Dr. Aspen Olmsted taught CSIS 690, a special topics course on developing a research hypothesis for graduate students and Senior undergraduates.  In the course, each student chose an independent research problem, examined how other researchers tried to solve the problem, developed a hypothesis for a solution to the problem, and tested their results.  The students wrote results in the form of an IEEE research paper.

The IEEE i-Society 2016 conference has an acceptance rate of approximately 25%, but for the CSIS 690 course, the acceptance rate was 86%!  The following students will present at the conference:

  • Matt Piazza (two accepted publications) – Cloud Payment Processing without Ritualistic Sacrifices: Reducing PCI-DSS Risk Surface with Thin Clients and Making it Rain with Cloud Payment Processing Vulnerabilities.
  • Gayathri ParthasarathyNatural Language Processing Pipeline for Temporal Information Extraction and Classification from Free Text Eligibility Criteria.
  • Zachary DavisAutomating e-Surveys.
  • Callum Brill (two accepted publications) – Examining International Information Conflict: Estonian and Georgian Case Study and Password Reinforcement Leveraging Social Media.
  • Gayathri Santhanakrishnan (two accepted publications) – Fine-Grain vs. Coarse-Grain Web-Service for ETL Correctness and Performance in Cloud databases and Memory Leak detection in Android applications based on code patterns.
  • Chris CargileExposing Wiktionary Translations With Performance in Mind.
  • Husna SiddiquiFriend or Faux? Engineering Your Social Network to Detect Fraudulent Profiles.
  • John AndersonDecentralised, Dynamic Network Path Selection in High Performance Computing.

To learn more about the graduate program and graduate courses offered by the department, visit the Graduate Program page or contact gradcs@cofc.edu.