Mr. Zaid Altukhi | Explainable AI | Best Researcher Award
University of technology Sydney, Australia.
Zaid M. Altukhi is a PhD student at the University of Technology Sydney (UTS) specializing in Information Systems. With a strong background in data analytics, machine learning, and programming, he has experience as a lecturer and teaching assistant at the Islamic University of Madinah. His research interests include Explainable AI, data-driven decision-making, and computational analytics. Zaid is also an HDR Students Representative at UTS, advocating for research students and contributing to academic committees.
Profile
Scopus
Orcid
๐ Education
Mr. Zaid Altukhi is a dedicated researcher and professional in the field of Information Systems and Data Analytics. He is currently pursuing a PhD in Information Systems at the University of Technology Sydney (2024 - Present) ๐ฆ๐บ, where he focuses on advanced research in data-driven decision-making and system optimization. He holds a Masterโs in Data Analytics Engineering from George Mason University (2020 - 2022) ๐บ๐ธ, graduating with a GPA of 3.73/4.00, showcasing his strong analytical and computational skills. Prior to that, he earned a Bachelorโs degree in Information Systems from Taibah University (2008 - 2013) ๐ธ๐ฆ, achieving a GPA of 3.92/5.00. His academic journey reflects a solid foundation in data science, artificial intelligence, and system analysis, preparing him for innovative contributions in the field of Information Systems and Data Analytics.
๐ผ Experience
Zaid Altukhi is an experienced academic and professional in computing, data science, and visual identity management. From 2022 to 2024, he served as a Lecturer at the Islamic University of Madinah, where he taught undergraduate and postgraduate courses, including Web Application Development, Data Science, and IT in Education. He also contributed to academic and resource committees. Prior to this, he worked as a Teaching Assistant from 2018 to 2022, assisting professors with grading, assignments, and IT-related tasks while mentoring and advising students. Earlier, from 2017 to 2018, he led the Visual Identity Applied Unit at the university, overseeing branding, social media marketing, and graphic design efforts while managing a creative team responsible for public relations and communications.
๐ฌ Research Interests
๐ง Explainable AI โ Enhancing interpretability and transparency in AI-driven education.
๐ Data Analytics & Visualization โ Using descriptive and predictive analysis to uncover patterns in datasets.
๐ Consumer Behavior & Pricing Analytics โ Investigating the impact of product color on purchasing decisions.
๐ Transportation & Public Safety Data โ Analyzing car accident trends using computational methods.
๐ Awards & Recognition
Young Scientist Award for contributions to Cryptography & AI.
Best Data Analytics Research Award at an international conference.
Outstanding Teaching Excellence Award at the Islamic University of Madinah.
๐ Notable Publications
Systematic Literature Review on XAI Technologies (2025), Published in Technologies (MDPI)
DOI: 10.3390/technologies13030093
Co-authored with Sojen Pradhan & Nasser Aljohani
Impact of Product Color on Retail Pricing & Consumer Decisions (2024), Published in Lecture Notes in Networks and Systems
DOI: 10.1007/978-3-031-62277-9_11
Co-authored with Nasser F. Aljohani
Explainable AI Definitions & Challenges in Education (2024), Presented at Forty-Fifth International Conference on Information Systems
Co-authored with Sojen Pradhan
Car Accident Trends in Washington D.C. (2023), Published in International Journal of Advanced Computer Science and Applications
DOI: 10.14569/ijacsa.2023.0140527
Co-authored with Nasser F. Aljohani