Fatemeh Ahmadi Abkenari

Fatemeh Ahmadi Abkenari is an Adjunct Professor in the Department of Computer Science at New York Tech, Vancouver campus. Her expertise spans Machine Learning, Deep Learning, Natural Language Processing, and Cybersecurity. With over a decade of teaching experience, she has instructed undergraduate, graduate, and doctoral students in computer engineering courses.

• Joined New York Tech: 2024
• Education: Ph.D.

Her research focuses on enhancing opinion spam detection in tourism reviews and improving Intrusion Detection Systems via hybrid machine learning models. She also explores domain-specific web search engines, aspect elicitation in customer reviews, and software quality compliance for health systems.

Recent publications address topics such as overfitting mitigation, feature reduction in cybersecurity, and clickstream-driven web crawling. She is proficient in Python/R programming, AWS Cloud Security, SQL/NoSQL databases, and tools like Power BI and Tableau.

Abkenari serves as a reviewer for journals such as Springer Neural Processing Letters and IEEE Access. She has contributed to projects involving sentiment mining, web page ranking optimization, and network protocol simulation, reflecting her interdisciplinary expertise in AI and cybersecurity.