Special Session Title: DSP Education
Organiser: Marios S. Pattichis, Department of Electrical and Computer Engineering, The University of New Mexico
Recent advancements in machine learning, virtual reality, and quantum computing are having a strong impact on DSP education. Furthermore, the wide availability of digital image and video content has provided an opportunity to introduce DSP education to a wider population from K-12 to undergraduate. At the same time, there is a great need to introduce students to DSP research during their undergraduate studies.
This special session aims at bringing together researchers from different disciplines to share perspectives and methods to advance DSP education.
Research papers are solicited in, but not limited to, the following area topics:
– DSP education in K-12 and at the University level
– Research Experiences for Undergraduates
– Machine learning methods for evaluating educational activities
– Emerging DSP technologies used for teaching: virtual reality, quantum signal processing
Biography of Organizer:
Marios S. Pattichis received the B.Sc. degree with high honors and special honors in Computer Sciences, the Bachelor of Arts with high honors in Mathematics, and a minor in Electrical Engineering from the University of Texas at Austin in 1991. He received the M.S. in Electrical Engineering and the Ph.D. in Computer Engineering from the University of Texas at Austin in 1993 and 1998 respectively. He is currently a Professor and director of the image and video processing and communications lab (ivPCL) at the Department of Electrical and Computer Engineering, at the University of New Mexico. He has served as a Senior Associate Editor for the IEEE Transactions On Image Processing, a Senior Associate Editor for IEEE Signal Processing Letters, Associate Editor for IEEE Transactions on Image Processing, IEEE Transactions on Industrial Informatics. He has served as a Guest Associate Editor for special issues published by the Teachers College Record, the IEEE Journal of Biomedical and Health Industry, the IEEE Transactions on Information Technology in Biomedicine, and Biomedical Signal Processing and Control. He was elected Fellow of the European Alliance of Medical and Biological Engineering and Science (EAMBES).