Hasan Al Marzouqi

Dr. Hasan Al Marzouqi is an Assistant Professor in the Department of Computer Science at Khalifa University's College of Engineering. His research focuses on image and signal processing, deep learning, computer vision, bioinformatics, and digital rock physics.

His projects include innovative approaches such as sedenion-valued neural networks for forecasting, deep hypercomplex networks for spatiotemporal data, and transformer-CNN hybrid models for remote sensing segmentation. These efforts have secured top positions in international competitions like NeurIPS Traffic4cast and ACM CIKM Weather4cast.

• Associate Editor: IEEE Transactions on Image Processing, IEEE Access
• Executive Editor: Engineered Science
• Senior Member: IEEE
• Member: IEEE Signal Processing Society

His work emphasizes parameter-efficient neural networks using hypercomplex numbers, with applications in weather, traffic, and medical imaging (e.g., Alzheimer’s disease prediction via 3D vision transformers).