Laith Alzubaidi

About

Laith Alzubaidi is a leading researcher at the forefront of artificial intelligence, with a primary focus on deep learning, trustworthy AI, and their transformative applications in healthcare and robotics. His most impactful contribution is the seminal review "Review of deep learning: concepts, CNN architectures, challenges, applications, future directions" (2021), which has amassed over 7,400 citations, establishing it as a foundational reference for the deep learning community. Dr. Alzubaidi has also made significant strides in responsible AI, authoring a highly cited systematic review on trustworthy and explainable AI in healthcare (666 citations) and a seminal paper outlining the requirements for risk-free trustworthy AI. His work extends to reinforcement learning, where he has produced a comprehensive review of algorithms and applications in healthcare and robotics. By bridging cutting-edge AI techniques with critical issues of safety, transparency, and reliability, Dr. Alzubaidi is shaping the future of intelligent, ethical, and impactful AI systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

   7,484 citations · 2021
2. 2
   A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

   666 citations · 2023
3. 3
   Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review

   79 citations · 2024
4. 4
   Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements

   78 citations · 2023
5. 5
   The Future of Healthcare: Emerging Technologies and Trends

   2 citations · 2025

Key Collaborators

Contact & Links