Marios Pattichis received the B.Sc.(High Hons. and Special Hons.) in computer sciences and the B.A. (High Hons.) degree in mathematics, both in 1991, the M.S. degree in electrical engineering in 1993, and the Ph.D. degree in computer engineering in 1998, all from the University of Texas, Austin. He is currently a Professor with the Department of Electrical and Computer Engineering, University of New Mexico (UNM), Albuquerque. His current research interests include digital image, video processing, communications, dynamically reconfigurable computer architectures, and biomedical and space image-processing applications.
Dr. Pattichis is currently a senior associate editor for the IEEE Signal Processing Letters. He has been an associate editor for the IEEE Transactions on Image Processing, IEEE Transactions on Industrial Informatics, and has also served as a guest associate editor for the IEEE Transactions on Information Technology in Biomedicine. He was the general chair of the 2008 IEEE Southwest Symposium on Image Analysis and Interpretation. He was a recipient of the 2016 Lawton-Ellis and the 2004 distinguished teaching awards from the department of electrical and computer engineering at UNM. For his development of the digital logic design labs at UNM, he was recognized by the Xilinx Corporation in 2003 and by the UNM School of Engineering's Harrison faculty excellent award in 2006. He was a founding Co-PI of the Configurable Space Microsystems Innovations & Applications Center (COSMIAC) at UNM. At UNM, he is currently the director of ivPCL (firstname.lastname@example.org, CV in PDF, CV in docx, ORCID, Google Scholar, ResearchGate, Academia.edu, LinkedIn).
Dr. Andreas. S. Panayides (EMBS Member, Senior IEEE Member) is a Visiting Assistant Professor at ivPCL and a member of the Electronic Health (eHealth) Laboratory of the University of Cyprus. He was a Marie Curie Fellow with the Communications and Signal Processing group at Imperial College. His research interests are in adaptive video delivery for real time applications, mHealth and eHealth systems, pervasive computing for healthcare applications, and interactive and distributed analytics of large video databases. He has published more than 50 peer-reviewed journal and conference papers, and book chapters, in these areas. He is the Guest Editor of IET Healthcare Technology Letters, Special Issue on mHealth-Emerging Mobile Health Systems and Services, to be published in September 2016. Dr. Panayides is actively involved in national and international research projects, funded by the European Commission, the Research Promotion Foundation of Cyprus, and recently the National Science Foundation (email, Google Scholar, ResearchGate).
Gangadharan Esakki is currently pursuing his PhD with Computer Engineering, University of New Mexico. He is advised by Dr. Marios Pattichis and his research interests include HEVC (x265), VP9, MPEG-DASH, Statistical models and Machine Learning for Image and Video compression.
Alvaro Ulloa is a PhD student in electrical engineering at The University of New Mexico working as a research assistant at The Mind Research Network. His research background is built on optimization theory and its applications to multimodal data mining including the development of methods such as Independent component analysis and deep learning.
Antonio Gomez received his Bachelors Degree in EE in 1986 and his Masters Degree in 2007, both from Florida International University. In addition, he holds a Graduate Certification in Systems Engineering from New Mexico State University and joined the PhD program at UNM in 2012 . He currently works at Sandia National Laboratories.
Bob is working in dynamically reconfigurable methods that can be used for video acceleration in heterogeneous architecture systems.
Luis Sanchez Tapia is working in dynamically reconfigurable methods that can be used for video acceleration in heterogeneous architecture systems.
Jeff Love is working in drone ideo image analysis. Jeff Love is currently working at IDEAS-TEK.
Patrick Lopez is working in video analysis.
Akash patel is currently working on "A review of methods for video activity recognition".
Mario Javier Esparza Perez is pursuing his masters with Computer Engineering. He is interested in "Speech recognition in noisy environments".
Mark Louie is working on "A comparision of video activity recognition methods".
Sravani is currently pursing her masters in Computer Engineering. She is interested in "Video analysis in compressed domain".
Phoung is currently pursing her masters in Computer Engineering. She is interested in "large scale video analytics."