Lucas Layman, Ph.D.

Teaching

Office Hours

Wednesday 9–11 in CG 2045, or by appointment.

Spring 2023

• CSC 351 – Applied Software Security
• CSC 450/550 – Software Engineering

Previous

• CSC 231 – Introduction to Data Structures
• CSC 242 – Computer Organization
• CSC 315 – Mobile Applications Development
• CSC 475/591 – Engineering Secure Software

Research and Publications

I lead the Human Factors in Computing Systems lab. You can find more information about current and past projects on my homepage.

Student Opportunities

I am currently seeking one student to collaborate on a research projects culminating in an undergraduate or master's thesis on the following subjects:

1. Human Factors in Cyber Defense
   • I have multiple research projects in this area playing to different strengths and interests. Some focus on psychology, some on HCI, and some on computer vision/machine learning.
   • You will learn: research methodology; data analysis using Python pandas; psychological issues in cyber defense
   • Perfect for: Students with an interest in cyber security or human-computer interaction
   • When: 2–3 semesters beginning Spring or Fall 2023.
   • Requirements: minimum 3.2 GPA and junior or higher standing, strong programming skills, self-motivated and inquisitive
   • Preferred: experience in one or more of: eye tracking, deep learning, JavaScript, React/Electron development
2. Trust in Automation
   • I am interested in how AI and recommender-system behavior influences human trust in automation, and the impacts of UI design on trust.
   • You will learn: research methodology; user experience issues; psychological biases
   • Perfect for: Students with an interest in artificial intelligence, human factors, and UI/UX
   • When: 2–3 semesters beginning Spring or Fall 2023.
   • Requirements: minimum 3.2 GPA and junior or higher standing, strong programming skills, self-motivated and inquisitive
   • Preferred: Python skills, web development experience