Noorbakhsh Amiri Golilarz

Noorbakhsh Amiri Golilarz is an Assistant Professor in the Department of Computer Science at The University of Alabama, College of Engineering. He has established himself as a prominent researcher in artificial intelligence, particularly in computer vision, deep learning, and image processing.

His educational background includes:

• Postdoctoral Research Fellow, Computer Science, Boston College (2023)
• Ph.D., Electrical and Computer Engineering, Southern Illinois University Carbondale (2023)
• D. Eng., Computer Science and Technology, University of Electronic Science and Technology of China (2021)
• M.S., Electrical and Electronic Engineering, Eastern Mediterranean University (2017)
• B.S., Electrical Engineering, University of Guilan (2012)

Dr. Golilarz's research spans multiple domains of artificial intelligence with a particular focus on computer vision, deep learning, and image processing applications. His work addresses challenges in medical imaging, satellite imagery, and cognitive neuroscience. He has made significant contributions to image denoising techniques, control chart pattern recognition, and AI applications in healthcare. His recent work has expanded into generative AI, large language models, and secure machine learning operations.

His publication portfolio demonstrates consistent productivity with over 2500 citations and an h-index of 25. His most impactful work includes applications of blockchain and federated learning for COVID-19 detection, optimized support vector machines for medical diagnosis, and innovative image denoising techniques using metaheuristic optimization algorithms.

Among his professional achievements:

• Co-founded AI Letters journal in 2024, serving as Associate Editor-in-Chief
• Served as Lead Guest Editor and Topic Editor for several SCI-indexed journals
• Held the role of Conference Program Chair

Dr. Golilarz has supervised numerous graduate students and research projects, with his work spanning theoretical advancements in AI algorithms to practical applications in healthcare, energy systems, and cybersecurity. His research group has established collaborations with institutions including Boston College and Mississippi State University.