Department of Computer Science
Dr. Ingrid Solberg
Associate Professor of Computer Science; Co-chair of the AI Advisory Council
Faculty profile
About Dr. Ingrid Solberg
Ingrid Solberg teaches courses in machine learning, automata theory, and artificial intelligence. Her research explores algorithmic transparency, neural architectures, and distributed systems. She mentors student teams working on machine learning implementations and computational theory.
Dr. Ingrid Solberg is a member of the Department of Computer Science in the School of Engineering & Computing.
Areas of expertise
- Machine learning
- Theory of computation
- Artificial intelligence
- Distributed systems
Contact
- Office
- Ashby Hall 219
- Building
- Ashby Hall
- Also
- Office of the Provost, Founders Hall 300, (555) 555-0135
Fall 2026 office hours
- Monday & Thursday, 9:30–11:00 a.m.
In person, Ashby Hall 219 - Tuesday, 4:00–5:00 p.m.
Virtual (Zoom link posted in Canvas)
Also available by appointment. Office hours follow Faculty Handbook §5.3.
2026–27
Teaching
| Course | Title | Credits | Role |
|---|---|---|---|
| CS 410 | Theory of Computation and Automata | 3 | Instructor, Fall 2026 |
| CS 450 | Artificial Intelligence and Autonomous Agents | 3 | Instructor, Spring 2027 |
| DATA 350 | Big Data Infrastructure & Distributed Computing | 3 | Instructor, Spring 2027 |
| DATA 401 | Machine Learning and Neural Networks | 4 | Instructor, Fall 2026 |
| AI 490 | Capstone Seminar in AI & Society | 3 | Instructor, Spring 2027 |
Department chairs make teaching assignments each year (Faculty Handbook §5.1). Multi-section courses have many instructors; the coordinator works with them on shared requirements, and your own section's instructor is listed in AlkimiHub.
Meeting with faculty
At least 3 hours per week during the semester, across at least 2 days, with at least 1 hour available virtually. Times are on each course syllabus in Canvas.