Below is a list of 4080/4088/4480 projects proposed by faculty members. More projects may be added once they come in. Please contact the supervisor directly you are interested in a project. You can also contact faculty members individually to discuss possible projects. Click here to see a list of faculty members, their research areas and their contact information.

Course: EECS4080/4480/4070

Supervisor: Prof. Uyen T. Nguyen

Contact: utn@eecs.yorku.ca

The student will be responsible for one or more tasks on the following list depending on the complexity and scope of a task.

• Searching internet resources (Google, reddit, dark web link archives, etc.) for links to dark web sites of interest
• Grouping and categorizing dark web pages
• Developing graphs representing the data present on the found dark web sites
• Assisting in the development of a dark web crawler
• Assisting in the development of an information retrieval system
• Optimizing the performance of the crawler and information retrieval system

Required technical skills:

• Experience building programs in Python
• Good understanding of object-oriented design
• Some experience with HTML and JavaScript
• Experience with Windows and Linux environments
• Experience with Excel and/or a commonly used graph generation program

Required non-technical skills:

• Strong teamwork skills
• Strong communication skills
• Good organizational skills
• Good analytical thinking skills
• Good time management skills (there will be weekly check-ins)

Desired skills: *Knowledge of information retrieval methods Notes:

• Email Prof. Uyen T. Nguyen (utn@eecs.yorku.ca) a resume listing courses, projects and prior experience relevant to the project.
• Some of the tasks listed above require the use of Scrapy. A student can learn Scrapy in the winter 2023 term and take the project course in summer 2023. Please contact the professor to make arrangements for this case.