Teaching
Dr. Akter is committed to delivering rigorous, research-informed instruction that bridges theoretical foundations with real-world applications in computer science, cybersecurity, and artificial intelligence. She emphasizes hands-on learning, authentic lab experiences, and the integration of current research into coursework.
Courses at Oakland University (August 2024 – Present)
Graduate & Upper-Division Courses
- CSI 4180/5180 — Natural Language Processing
- CSI 4740/5740 — Cyber Laws and Digital Forensics
- CSI 4430/5430 — IT Project Management
- CSI 4450/5450 — Database System I
Undergraduate Courses
- CSI 3680 — Script Programming
- CSI 2290 — Introduction to Data Structures in C
- CSI 4999 — Senior Capstone Project
Teaching Interests
- Natural Language Processing
- Cybersecurity & Software Security
- Cyber Law and Digital Forensics
- Artificial Intelligence & Machine Learning
- Deep Learning
- Data Structures and Algorithms
- Database Systems
- IT Project Management
Prior Teaching Experience
- Taught Machine Learning, Compiler Construction, and Discrete Mathematics at Metropolitan University, Bangladesh.
- Delivered invited lectures at Kennesaw State University (Summer 2023) and Tuskegee University (Spring 2024) for NSF-funded workshops on Machine Learning in Cybersecurity.
- Conducted NSF-supported webinars on Machine Learning in Cybersecurity in Fall 2022, Spring 2023, Fall 2023, and Spring 2024.
- Developed lab-based instructional materials for ML4Cyber, a project supported by the U.S. National Science Foundation.