Ph.D., Computer Engineering, The University of Texas at Austin, 1998
M.S.E., Electrical Engineering, The University of Texas at Austin, 1993
B.A. (high honors), Mathematics, The University of Texas at Austin, 1991
B.Sc. (high honors and special honors), Computer Sciences (minor in EE), The University of Texas at Austin, 1991
A professor at the University of New Mexico since 1999, M.S. Pattichis is currently the Director of Online Programs at the Department of Electrical and Computer Engineering at UNM.
Professor M.S. Pattichis has made outstanding contributions to the development of explainable biomedical image analysis methods that have been employed in leading hospitals throughout the world. He has been awarded 10 patents, published 80+ journal papers (46 in IEEE), 25 book chapters, and 200 conference papers (most IEEE). He has received more than $15.9M in funding, primarily from NSF, AFRL, and NIH.
He is currently serving as a Guest Associate Editor for the special issue on "Large scale video analytics for clinical decision support," to be published by the IEEE Journal of Biomedical and Health Informatics and for the special issue on "Teaching and learning mathematics and computing in multilingual contexts," to be published by Teachers College Record.
He has served as a Senior Area Editor for the IEEE Transactions On Image Processing and a Senior Area Editor for IEEE Signal Processing Letters, Associate Editor for IEEE Transactions on Image Processing, IEEE Transactions on Industrial Informatics, and a Guest Associate Editor for two additional special issues published in the IEEE Transactions on Information Technology in Biomedicine, and another special issue published in Biomedical Signal Processing and Control.
In 2022 he was elected Fellow of the European Alliance of Medical and Biological Engineering and Science (EAMBES) for his contributions to biomedical image analysis.At UNM, he is currently the director of ivPCL (email@example.com, ORCID, Google Scholar, ResearchGate, Academia.edu, LinkedIn).
Digital image and video processing
Computer-Aided Diagnosis for using large-scale image and video datasets
Biomedical image and video analysis and communications systems
Explainable image representations
Large-scale video analytics to quantify student participation in educational settings (new)
Dynamically reconfigurable systems for image and video processing
Research in developing, teaching, and implementing integrated mathematics and computer programming curricula for middle-school students who are predominately Latinx
Luis Sanchez Tapia is working in audio-visual speech recognition for unconstrained environments using deep learning methods.
Venkatesh Jatla, “ is currently pursuing his PhD with Computer Engineering, University of New Mexico. His area of focus include Video Compression, Video analysis, Video delivery and Image Analysis. ,”
Bob is working in dynamically reconfigurable methods that can be used for video acceleration in heterogeneous architecture systems.
Sebastian Janampa is currently working on Computer Vision methods to reconstruct 3D coordinates using projective geometry.
Ugesh is currently working on Computer Vision methods to detect text in screen recordings.
Jeff Love is working in drone ideo image analysis. Jeff Love is currently working at IDEAS-TEK.