What is the ambitious goal of this project?
To foster a multidisciplinary research environment where students collaborate across academic levels to develop innovative solutions to complex cybersecurity and artificial intelligence challenges.
Experience Gained
- Student will develop the ability to conduct interdisciplinary research by applying knowledge from both cybersecurity and artificial intelligence to solve real-world problems.
- Students will gain experience identifying, analyzing, and addressing emerging challenges at the intersection of cybersecurity and AI, including recognizing vulnerabilities in AI systems, securing data privacy in machine learning processes, and developing AI models capable of defending against cyberattacks.
- Students will enhance their teamwork skills by collaborating with other undergraduate and graduate students, and faculty, while also learning to effectively communicate complex research findings through written reports and oral presentations.
Methodologies and/or Technologies used to achieve project goals
- Coding and coding software
- Design thinking
- Quantitative research methods
- Systems engineering
- Writing
Preferred Preparation
- 200 level:
- Basic knowledge of cybersecurity
- Basic knowledge of artificial intelligence
- 400/500 level:
- CS 331 or ITM455
- Solid background in at least one programming language, such as Python or Java
- Strong understanding of algorithmic thinking and data manipulation techniques
Majors or Interests Needed
- Computer Science
- Electrical and Computer Engineering
- Information Technology & Supply Chain Management
- MS in Cybersecurity, Computer Science or Data Science
- PhD in Cybersecurity, Computer Science or Data Science
VIP Coach Information
Dr. Gaby Dagher is an associate professor in cybersecurity in the department of computer science, and the director of the Bronco Shield CyberCorps SFS program.
Dr. Tim Andersen is a professor in artificial intelligence in the department of computer science.
Dr. Donald Winiecki is a professor of morality & ethics in Organizational Performance & Workplace Learning (OPWL).
Course Information
VIP 200, VIP 400 or VIP 500
Full semester course. Choose to enroll in 1 or 2 credits.
Team meetings: Hybrid, schedule TBD
Interested in joining this team?
For more information and to request a permission number to register, contact Dr. Gaby Dagher at gabydagher@boisestate.edu.
You can also complete this interest form and someone will contact you. Check out this page for tips on contacting a professor.
To register
To register search by Subject: Vertically Integrated Projects, read the project description to find the right section of VIP 200, 400, or 500. Use permission number, here are instructions Add with a permission number