Photo of Lucas Layman

Lucas Layman, Ph.D

Department of Computer Science
Campus Box 5935
601 South College Rd.
Wilmington, NC 28403
+1 (910) 962-3672
laymanl@uncw.edu
CV (PDF)

I am an Assistant Professor in the Department of Computer Science at the University of North Carolina Wilmington. I research human factors in software engineering and computer security with forays into machine learning and analytics.

Teaching

Office Hours

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

Fall 2022

Previous

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 Fall 2022.
    • 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 Fall 2022.
    • Requirements: minimum 3.2 GPA and junior or higher standing, strong programming skills, self-motivated and inquisitive
    • Preferred: Python skills, web development experience