- Ph.D., Information and Systems Engineering, Concordia University, 2019-2023.
- Ph.D., Information and Communications Sciences and Technologies, École National d'ingénieurs de Tunis (ENIT), 2017-2020.
- MSc., Mathematics and Computer Science, Paris-Descartes University, 2016.
- MSc., Information processing and computer vision, ENIT, 2015.
- B.Eng., Telecommunication Engineering, ENIT, 2013.
Fatma Najar is an Assistant Professor of Computer Science at the Department of Math and Computer Science. She earned a PhD in Information and Systems Engineering from Concordia University (Canada), a PhD in Information and Communications Sciences and Technologies from Tunis National School of Engineering (Tunisia), a Master of Mathematics and Computer science from Paris Descartes University (France) and a Bachelor degree in Telecommunications engineering from Tunis National School of Engineering (Tunisia). She comes to John Jay after having served as a Lecturer of Computer science at Polytechnique Montreal (Canada) and a Data scientist at Videotron (Canada) after spending a few years as a researcher at Concordia University.
Dr. Najar is an interdisciplinary researcher with skills and experience in data science, machine learning, image processing, and natural language processing (NLP). She led collaborative projects and co-supervised master students resulting in 27 peer-reviewed publications, including 5 high-impact first-authored journal publications.
Dr. Najar received multiple awards from Concordia University (Accelerator awards, International Tuition Award of Excellence, Conference and Exposition Award). She received two awards from the Mitacs program which is a nonprofit national research organization that, in partnership with Canadian academia, private industry, and government, operates research and training programs in fields related to industrial and social innovation.
- CSCI 377
- CSCI 172
Member of Pattern Analysis and Machine Intelligence, IEEE Computer Society Technical Community
- PSC-CUNY cycle 55 award program ($6,000): "How Children’s Emotions Could Help in Analyzing Social Behaviors: Research and Preliminary Studies"
Dr. Najar is a data scientist and machine learning researcher who explores the information science of engineering, applied mathematics, and computer vision. Her main research objective is to apply her expertise in machine learning, artificial intelligence (AI), computer vision, and natural language processing to improve real-world applications. She focuses on designing and implementing machine learning algorithms for human psychology behavior analysis, misinformation detection, emotion recognition, and text clustering.