| Project Title: Analysis of thematic structure and spatio-temporal pattern of cybersecurity discourse |
Project Description:
This project is designed to study the thematic structure and spatio-temporal pattern of cybersecurity discourse on topics such as cyber resilience, cybersecurity hygiene and cybersecurity awareness. Through the application of several data analytic tools, we aim to identify the main themes of discussion in the academic literature, practical landscape such as industry reports or news media, as well as social media discourse. |
RA Position Duties and Resposibilities
(Include Interaction with Research Team Members, Supervisory Arrangements):
The student will assist the director and senior researchers in the lab in conducting research projects that involve application of data analytics and machine learning methodologies for textual data. Tasks that this position is responsible for include the various steps of data collection and pre-processing, implementation and execution of appropriate text mining algorithms, and interpretation and presentation of the results. This role will also include research-related tasks such as conducting literature surveys, documentation, and proofreading. We are looking for someone with a good understanding of data analytics and machine learning concepts and algorithms, in particular, text mining and natural language processing, who can help us apply a range of relevant algorithms including topic modelling, text classification, keyword extraction, sentiment analysis, etc. |
| How Many Students Are Currently Under Your Supervision: Undergraduate:
2
Masters: 1
Doctoral: 7
|
| Animals Will Be Used In Research:
No
|
| Human Subjects Involved:
No
|
| Hazardous Materials, Equipment, or Processes Will Be Involved
in the Research:
No
|
Research Experience and Opportunites Offered RA:
Cybersecurity Research Lab houses senior and junior researchers working on novel, multidisciplinary, and highest quality initiatives run by Dr. Atty Mashatan of Ted Rogers School of Information Technology Management. Participation in this project will help to develop the highly specialized skillset necessary to be productive in this highly technical, rapidly developing environment. The student will also be trained in documenting research results in the form of academic papers targeted for peer-reviewed conferences and journals which better prepares them for a successful graduate studies experience in the future. Moreover, the RAs will benefit from the connections and partnerships Cybersecurity Research Lab has established with the industry. Additionally, the RA will receive professional experience in project management on how to manage their time, and deliver results on time with high quality. They will also be trained in presentation skills and other soft skills which are critical for any future path they decide to take. The enhanced mentorship that offered by Dr. Mashatan will provide a training experience that will help prepare the RAs for graduate research, industry high impact jobs, as well as future mentoring experience. This particular project involves cutting edge research on a very emerging topic with high impact that will prepare them for careers in both research and industry settings. There is a known talent shortage and this project trains the RAs in an R&D initiative in this space. This is not a skill that the students will normally be exposed to in their own programs. |
Specific Skills / Knowledge / Experience Required
(Include Any Required Courses, Computer Programs, etc.):
General Skills: - Good oral communication - Good written communication - Knowledge of computer software - Managing Information - Presentation skills - Problem solving and thinking - Research and use of numbers - Technical Skills Experience: - Hands-on experience with data analytics and machine learning using Python - Hands-on experience with data pre-processing and cleaning using Python - Knowledge/experience of coding and implementation of text mining algorithms and using relevant Python libraries, particularly Gensim and NLTK - Knowledge/experience of working with common news or social media APIs or other forms of gathering large volumes of textual data from the web |