Fatemeh Ahmadi Abkenari
Title: Adjunct Professor
Department: Computer Science
Campus: Vancouver
Area(s) of Expertise: Machine Learning, Deep Learning, NLP, Cybersecurity
Education Credentials: Ph.D.
Joined New York Tech: 2024
Fatemeh Ahmadi Abkenari has more than 10 years of experience as an assistant professor and instructor teaching computer engineering courses to undergraduate, graduate, and doctoral students. Abkenari has published multiple articles in journals and conferences relating to machine learning, deep neural networks, sentiment mining, and web page ranking optimization. She is a reviewer for the journals such as Springer Neural Processing Letters and IEEE Access.
She has developed expertise in data analytics, machine learning/data mining, AI, and deep learning concepts and practices including programming in Python and R, and in data mining software such as RapidMiner, SPSS Modeler, SPSS Statistics, Power BI and Tableau, as well as in neural networks and deep learning concepts and practices. She possesses expertise in cybersecurity concepts and implantations, Intrusion Detection Systems and Cryptography, Linux, and advanced network protocols and simulation environments such as CISCO Packet Tracer and in AWS Cloud Security. Additionally, she has developed expertise in database concepts and programming with SQL, working with software such as Microsoft SQL Server, MySQL, and NoSQL Environment, among other areas. Fatemeh Ahmadi Abkenari also has more than five years of experience in working on Data Science/Data Mining projects.
Recent Projects and Research
- Enhancing Opinion Spam Detection in Tourism Customer Reviews using Deep Learning Paradigm
Selected Publications
- Fatemeh Ahmadi Abkenari, Amin Milani Fard, Sara Khanchi. Hybrid Machine Learning-based Approaches for Overfitting and Feature Reduction to Enhance Intrusion Detection Performance. Journal of Cybersecurity and Privacy (JCP). 2023, 3(3), 544–557; doi: 10.3390/jcp3030026.
- Sepideh Jamshidi Nejad, Fatemeh Ahmadi-Abkenari, Peiman Bayat. A Combination of Frequent Pattern Mining and Graph Traversal Approaches for Aspect Elicitation in Customer Reviews. Journal of IEEE Access. vol. 8, (2020). pp. 151908–151925, 2020, doi: 10.1109/ACCESS.2020.3017486.
- Fatemeh Ahmadi-Abkenari, and Ali Selamat. An Architecture for a Focused Trend Parallel Web Crawler with the Application of Clickstream Analysis. International Journal of Information Sciences. Elsevier. Volume 184 (2012). Impact Factor: 2.833. pp. 266–281. ISSN: 0020-0255.
- Matin Ramzani, Fatemeh Ahmadi-Abkenari. Conformance Assessment of Software Components of Health Information Systems with Software Quality Criteria. Journal of Soft Computing, Kashan University, 2017.
- Fatemeh Ahmadi-Abkenari, and Ali Selamat. Advantages of Employing LogRank Web Page Importance Metric in Domain Specific Web Search Engines. JDCTA: International Journal of Digital Content Technology and its Applications. Vol. 7, No. 9. ISSN: 1975- 9339(Print). ISSN: 2233-9310(Online). pp. 425–432. (May 2013). SCOPUS Indexed.
Courses Taught at New York Tech
- Algorithm Concepts, Project I