Lina Karam
School of Electrical, Computer and Energy Engineering
Arizona State University
About Professor Lina Karam
Professor Lina Karam, Emerita Professor at Arizona State University, is a distinguished member of the School of Electrical, Computer and Energy Engineering. Renowned for its innovative research and academic rigor, ASU provides a dynamic environment that fosters cutting-edge developments in engineering disciplines. The School is recognized for its strengths in electrical and computer engineering, particularly in areas such as signal processing and computer vision. This esteemed institution is committed to advancing knowledge and technology, making it a leader in interdisciplinary research and education, and an ideal setting for pioneering work in the field.
🧬Research Focus
Professor Karam's research encompasses a wide range of impactful areas, including image and video processing, image compression, computer vision, deep learning, digital signal processing, and visual quality assessment. Her work is particularly significant in improving the efficiency of visual representation and analysis, which has far-reaching applications in industries such as telecommunications, healthcare, and entertainment. By focusing on compressed-domain processing and reduced-complexity deep learning models, her research aims to innovate techniques in visual data handling. The potential breakthroughs in adversarial robustness and frequency-domain analysis promise to advance the frontiers of multimedia signal processing and enhance the user experience across digital platforms.
🎓Student Fit & Career
Graduate students who thrive under Professor Karam's mentorship are those with a solid foundation in electrical and computer engineering principles, alongside a keen interest in multimedia technologies. Ideal candidates are analytical thinkers with a passion for research and a collaborative spirit. Working in this research area opens pathways to diverse career opportunities, including roles in academia, industry research, and technology development. Professor Karam's commitment to academic mentorship ensures that her PhD students will gain valuable insights and skills necessary for successful careers in an increasingly digital and data-driven world.
Research Areas
Reviews (0)
No reviews yet for this supervisor.
Be the first to share your experience!
Frequently Asked Questions
Not sure how to interpret mixed signals? A structured decision guide can help you think through high-risk supervision choices more clearly. Download the free guide.