Suren Jayasuriya

Suren Jayasuriya is an Associate Professor at Arizona State University's The GAME School, with joint appointments in the School of Electrical, Computer and Energy Engineering (ECEE) and the Department of Arts, Media and Engineering (AME). He is also an Affiliate Faculty Member at the Mary Lou Fulton College for Teaching and Learning Innovation. His lab, the Imaging Lyceum, focuses on transdisciplinary research bridging computational imaging, computer vision, sensors, and STEAM education.

Education

• Ph.D. Electrical and Computer Engineering, Cornell University (2017)
• M.S. Electrical and Computer Engineering, Cornell University (2015)
• B.S. Mathematics, University of Pittsburgh (2012)
• B.A. Philosophy, University of Pittsburgh (2012)

Research Focus

Dr. Jayasuriya's work integrates optics, computational photography, and machine learning to develop novel imaging systems. His research spans:

• Computational cameras and light transport analysis
• Atmospheric turbulence modeling and video restoration
• Neural volumetric reconstruction for sonar/radar
• STEAM education frameworks for K-12 teachers
• Philosophical aspects of imaging and representation

His lab emphasizes interdisciplinary collaboration across engineering, arts, and humanities.

Publication Trends

Recent publications demonstrate strong focus on computational imaging (45%), AI/ML applications (30%), and educational technology (25%). Dominant themes include turbulence mitigation in videos, neural rendering for sonar/radar, sensor fusion, and AI curriculum development for middle schools. Work frequently appears in top venues like CVPR, SIGGRAPH, and IEEE Transactions.

Awards

• Image Electronics Technology Excellence Award (IIEEJ, 2021)
• Best Demo Awards: IEEE ICCP 2019, MIRU 2018
• Best Paper Award: IEEE ICCP 2014
• ASEE Diversity Paper Finalist (2020)
• Teaching Honors: Fulton Top 5% Award (2019, 2021), ASU Game Changing Faculty (2021)

Teaching & Advising

Teaches graduate/undergraduate courses including Machine Vision (EEE 515), Minds and Machines (AME 400), and thesis supervision. Leads NSF-funded projects on computational imaging education and AI teacher training. Mentors students through the Imaging Lyceum lab with projects spanning optics, philosophy, and educational technology.

Lab & Collaborations

Directs the Imaging Lyceum, emphasizing Aristotle-inspired collaborative research. The lab works on: computational cameras, STEAM education, sensor development, and philosophical inquiries into imaging. Collaborates with Carnegie Mellon Robotics Institute and international partners. Funded by NSF, NEH, and industrial partners for projects in sonar imaging, heat resiliency sensing, and educational AI.