Dr. Jesus Caban

Computer Science

Current Courses

Personal Bio

Dr. Caban is the Chief of Clinical & Research Informatics at the National Intrepid Center of Excellence (NICoE) at Walter Reed Bethesda. Trained as a computer scientist and with over nine years of experience actively working in research organizations and clinical settings, Dr. Caban has extensive experience in inter-disciplinary research collaborations, research funding opportunities, big data analytics, and multi-modal data fusion of complex heterogeneous data.  In addition, during the last five years Dr. Caban has had the privilege to teach graduate and undergraduate classes at the University of Maryland - UMBC and at John Hopkins University Applied Physics Laboratory.  The faculty appointments have given him the opportunity to co-mentor multiple undergraduate, master, doctoral, and post-doctoral students at different universities and research laboratories. Dr. Caban currently oversees the research and development of the NCMT Project – DoD’s largest database of longitudinal clinical data of patients diagnosed with mild Traumatic Brain Injury (TBI) and Post-traumatic Stress Disorder (PTSD).  Dr. Caban received a Ph.D. in Computer Science at the University of Maryland, UMBC (2009), his M.S. degree in Computer Science from the University of Kentucky (2005), and his B.S. in Computer Science from the University of Puerto Rico (2002).   Currently, he is serving as the contracting officer representative (COR) for the DoD program on "Big Data & Watson-Like Technologies for TBI/PTSD Clinical Decision Support and Predictive Analytics".

Website: http://www.csee.umbc.edu/~caban1/

Education History

  • Doctor of Philosophy Computer Science, University of Maryland, UMBC

Work Experience

Chief, Clinical & Research Informatics, NICoE, Walter Reed National Military Medical Center

Publications

Filip Dabek and Jesus J. Caban, ”VisXplore: Flexible Visualization System for Analyzing Complex Clinical Datasets”, Workshop on Visual Analytics in Healthcare, Proceedings of the American Medical Informatics Association (AMIA) Annual Symposium, Nov. 2013

A. Rosebrook,Jesus J. Caban, Tim Oates,”A Rapidly Deployable Image Classification System Using Feature-Views”, Proceedings of the IEEE 12th International Conference on Machine Learning and Applications, ICMLA 2013

Jesus J. Caban, S. Green, G. Riedy, ”Characterization of T2 hyperintensity lesions in patients with mild traumatic brain injury”, Proceedings of the 2013 SPIE Medical Imaging Conference, Jan 2013

A. Rosebrook, Jesus J. Caban, J. Figueroa, G. Gierach, L. Linville, S. Hewitt, M. Sherman, ”Quantitative Analysis of TDLUs using Adaptive Morphological Shape Techniques”, Proceedings of the 2013 SPIE Medical Imaging, Jan 2013

Professional Organizations

IEEE