Dr. Nezamoddin Nezamoddini-Kachouie
Bio
Dr. Nezamoddini-Kachouie is an Assistant Professor in the Department of Mathematical Sciences at Florida Institute of Technology. With degrees in electrical & computer engineering and systems design engineering, he spent four years at Harvard Medical School and Harvard School of Public Health to work in multidisciplinary research environments where he gained successful experience to address interdisciplinary problems in engineering, medicine, and biology. His research interest lies at the interface of pattern recognition, digital signal and image processing, biostatistics, and computer vision with applications to cancer research, stem cell studies, and public health. He has strong experience in software system design and he has developed image analysis systems for different applications including stem cell detection, segmentation, and tracking, genomic data analysis for detection of regional DNA copy number alterations, and voxel-wise anatomical & functional analysis of brain tissue through MRI and PET images. He has been actively involved with undergraduate and graduate research and mentorship where he has served as group leader of high-throughput analysis group, chair of IEEE engineering in Medicine and Biology chapter of Kitchener-Waterloo section, and lead organizer of Biomedical Imaging and Computer Vision (BICV) symposium. He has served as mentor and adviser for undergrad and grad students at Harvard and FIT. Two of the masters students working with him at Harvard, were admitted for PhD at McGill University and UCLA. Dr. Nezamoddini-Kachouie joined FIT in Aug 2012 and he has been working with undergrad and grad students to perform research. His undergrad African American student’s abstract was accepted and his student presented his research at NCUR (National Conf. on Undergraduate Research) in 2013. Currently, one MS and two PhD candidates are performing research under his supervision. He has designed and taught Applied Statistical Analysis for grad students at FIT and he is designing grad level Regression Analysis course.
