PeopleofSuperintelligence

Researcher

Amjad Ur Rehman

Also known as Amjad Rehman, Amjad Rehman Khan

Amjad Ur Rehman is an AI researcher whose work spans medical imaging, IoT health systems and explainable AI. He earned a master's degree from GM University Multan in 1993, completed a Ph.D. in information security at Universiti Teknologi Malaysia in 2010, and received UTM's Rector Award for Best Student. After faculty posts at Prince Sattam bin Abdulaziz University and Al Yamamah University, he joined Prince Sultan University's AIDA Lab in 2020 and became an associate professor there in 2023. He coauthored a 2021 AI model for IoT e-health and a 2023 paper on brain tumor classification, worked on a 2025 kidney-carcinoma study, co-edited a book on explainable AI in medical imaging, and served as a publication chair for AIDA WiDS in September 2026. As of October 2026, he is an associate professor at PSU.

Works
488
Citations
18,151
h-index
71

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1993–2010

    A doctorate in information security

    He earns a master's degree from GM University in Multan in 1993. In 2010, he earns a Ph.D. in information security using image processing from the Faculty of Computing at Universiti Teknologi Malaysia.

  2. 2010

    A Rector Award

    He receives UTM's Rector Award for Best Student in 2010.

  3. 2012–2020

    Saudi university appointments

    In 2012, he is an assistant professor at Prince Sattam bin Abdulaziz University. From 2015 to 2020, he is an assistant professor at Al Yamamah University in Riyadh.

  4. 2020–2023

    Senior researcher at AIDA

    From 2020 through 2023, he is an assistant professor and senior researcher at the AIDA Lab in Prince Sultan University's College of Computer and Information Sciences.

  5. 2021–2023

    IoT e-health and brain tumor AI

    In 2021, he coauthors a study of energy-efficient IoT e-health using an artificial-intelligence model with homomorphic secret sharing. In 2023, he coauthors a paper on brain tumor classification using meta-heuristic optimized convolutional neural networks, published in the Journal of Personalized Medicine.

  6. 2023–2024

    Associate professor at PSU

    From 2023 to 2024, he is an associate professor at Prince Sultan University's College of Computer and Information Sciences in Riyadh.

  7. 2025

    Kidney carcinoma and explainable AI

    In February 2025, he coauthors a Swin-ViT and DeepLabV3+ transfer-learning paper on kidney carcinoma prognosis and characterization in Applied Soft Computing. In 2025, he co-edits Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications with Tanzila Saba.

  8. As of October 2026

    Associate professor at PSU

    During the 2026 EAI ICATECS conference, he serves on its technical program committee as a member of PSU's AIDA Lab. At AIDA WiDS in September 2026, he serves as a publication chair. As of October 2026, he is an associate professor in Prince Sultan University's College of Computer and Information Sciences.

Career

  1. Since 2020Prince Sultan UniversityAssistant Professor and Senior Researcher, Associate Professor
  2. 2024–2026Princess Nourah bint Abdulrahman University
  3. 2015–2020Al Yamamah UniversityAssistant Professor
  4. 2012–2017Prince Sattam Bin Abdulaziz UniversityAssistant Professor
  5. 2009–2020University of Technology Malaysia

Education

  1. 2010Universiti Teknologi MalaysiaPh.D.
  2. 1993GM UniversityMaster's degree

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Technology Malaysia. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  2. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  3. The United States employs an estimated 48% of people shaping AIWe estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  4. 43% of living people shaping AI work outside their country of birthWe estimate that 43% of living people shaping AI work outside their country of birth (520 of 1,198 people with known birth and employment countries).

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Prince Sultan University | Faculty psu.edu.sa. Checked 20 October 2026.
  2. Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications routledge.com. Checked 20 October 2026.
  3. AIDA RESEARCH aidalabpsu.com. Checked 20 October 2026.
  4. PSU Faculty Portal facultyportal.psu.edu.sa. Checked 20 October 2026.
  5. AIDA WiDS 2026 aidalabpsu.com. Checked 20 October 2026.
  6. Technical Program Committee – EAI ICATECS 2026 icatecs.eai-conferences.org. Checked 20 October 2026.