Tanzila Saba
Tanzila Saba is an artificial intelligence researcher at Prince Sultan University in Riyadh, where she leads the Artificial Intelligence & Data Analytics Research Lab. She earned a PhD in document information security and management from Universiti Teknologi Malaysia in 2012, started at Prince Sultan University in 2013, and was nominated a Research Professor in September 2019. Her papers include brain tumor detection in 2020, intrusion detection for IoT networks in 2022 and a kidney carcinoma study in 2025. A Stanford University and Elsevier study listed her among the world's top 2% of scientists in 2020 and 2021. As of October 2026, she is Associate Director of the Research and Initiatives Center, and her research covers medical imaging, pattern recognition, IoT and information security.
- Now at
- Prince Sultan University
- Works
- 535
- Citations
- 22,585
- h-index
- 83
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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2012
A PhD at Universiti Teknologi Malaysia
She earns a PhD in document information security and management from the Faculty of Computing at Universiti Teknologi Malaysia in 2012, and receives the Best Student Chancellor Award there.
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2013
Joining Prince Sultan University
She starts at Prince Sultan University in Riyadh in 2013, in the Information Systems department of the College of Computer and Information Sciences.
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2019
Research Professor at Prince Sultan
In September 2019, she is nominated a Research Professor at Prince Sultan University. She also leads the university's Artificial Intelligence & Data Analytics Research Lab and its Students' Data Science Club.
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2020
Brain tumor and cancer detection
In 2020, she publishes Brain tumor detection using fusion of hand crafted and deep learning features in Cognitive Systems Research, written with four coauthors. She is also the sole author of the survey Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges, published in the Journal of Infection and Public Health in 2020.
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2020–2024
Top 2% of scientists
A research study by Stanford University and Elsevier lists her among the world's top 2% of scientists in 2020 and 2021. Her ranking in the top 2% continues through 2024.
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2022
Deep learning for IoT intrusion detection
In 2022, she is first author of Anomaly-based intrusion detection system for IoT networks through deep learning model, published in Computers and Electrical Engineering with Amjad Rehman, Tariq Sadad, Hoshang Kolivand and Saeed Ali Bahaj.
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2025
Kidney carcinoma analysis with Swin-ViT
In 2025, she coauthors Robust kidney carcinoma prognosis and characterization using Swin-ViT and DeepLabV3+ with multi-model transfer learning, published in Applied Soft Computing with Amjad Rehman and Tariq Mahmood.
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As of October 2026
Associate Director and AIDA lab leader
As of October 2026, she is Associate Director of the Research and Initiatives Center and leader of the Artificial Intelligence & Data Analytics Research Lab at Prince Sultan University in Riyadh. Her research covers medical imaging, pattern recognition, IoT and information security, and she serves as a track chair for the ICEGOV 2026 conference.
Career
- Since 2013Prince Sultan UniversityLeader, Research Professor
- 2024–2026Princess Nourah bint Abdulrahman University
- 2009–2013University of Technology Malaysia
- 2003–2006Chiba Institute of Technology
Education
Sources and credits
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