معرفی
Mahdieh Zabihimayvan is an Assistant Professor in the Computer Science Department at Central Connecticut State University, specializing in Cybersecurity and Artificial Intelligence applications. Her research focuses on enhancing proactive cyber threat intelligence and privacy protection using applied machine learning and complex systems analysis.
- Areas of Expertise: Machine learning for Cybersecurity, Complex systems analysis
- Memberships: European Society for Fuzzy Logic and Technology, ACM-W Women in Network Science, Women in Machine Learning, WomenTech Network
- Courses Taught: Computer Security, Secure Software Development, Big Data Programming, Systems Programming, Secure Software Designs, Introduction to Internet Programming
Research Interests include cybersecurity, machine learning, and complex systems. She has published extensively on topics such as darknet traffic classification, phishing attack detection, and web robot identification, often leveraging fuzzy logic and deep learning techniques.
Scientific Awards include a nomination for the Undergraduate Research Competition in 2022. Her work intersects cybersecurity, machine learning, and privacy protection, particularly in analyzing Tor networks, dark web systems, and biomedical data.
