Lina Karam

Lina Karam is an Emerita Professor at Arizona State University and an IEEE Fellow with extensive contributions to image and video processing, compression, computer vision, and digital signal processing. Her research has focused on efficient visual representation and analysis, including compressed-domain processing, reduced-complexity deep learning models, and learning-based visual compression. She has contributed foundational work on visual quality assessment, adversarial robustness in image recognition, and frequency-domain analysis for texture and image understanding. Her scholarship spans both theoretical and applied aspects of multimedia signal processing, with publications in leading venues such as IEEE Transactions on Image Processing, Neural Networks, and IEEE Journal on Emerging and Selected Topics in Circuits and Systems. In addition to her research contributions, she has played a significant role in engineering education through the development of hands-on instructional materials integrating digital multimedia, signal processing, and introductory robotics, reflecting a long-standing commitment to mentoring, curriculum design, and interdisciplinary engineering training.