Manar Abu Talib

Papers

Total Citations

H-Index

About

Manar Abu Talib is a distinguished researcher whose work bridges computer science education, algorithmic finance, and artificial intelligence. Her early contributions focused on strategic recruitment in computing fields, exemplified by her study on raising awareness among high school and university students—a paper that has garnered 3 citations and remains relevant for institutions seeking to diversify tech talent. More recently, Dr. Abu Talib has made significant strides in financial technology, developing a machine learning-based trading robot for the foreign exchange market (2023, 2 citations) and authoring a comprehensive review of algorithmic trading using technical indicators (2024, 2 citations). Her research addresses the immense scale of the Forex market, which saw a daily trading volume of $6.6 trillion in 2019, by exploring how AI can navigate its volatility driven by inflation, interest rates, and geopolitical events. This work demonstrates her ability to apply computational methods to real-world, high-stakes financial systems. With a career spanning educational innovation and cutting-edge fintech, Dr. Abu Talib’s impact is marked by her interdisciplinary approach, making her a notable figure for students and researchers interested in the intersection of computer science, education, and quantitative finance.