Abello Monedero, JamesView profile
Professor
James Abello Monedero is a Professor in the Computer Science Department at Rutgers University , specializing in algorithms, graph mining, and visualization of massive datasets. He earned a Ph.D. in Computer Science from the University of California, San Diego, and held postdoctoral and academic positions at UC Santa Barbara, Texas A&M University, and Bell Labs. Ph.D. in Computer Science, UC San Diego M.S. in Computer Science, UC Santa Barbara His research interests span external memory algorithms , graph mining , relational learning , and visual analytics for massive datasets. He has pioneered techniques for dynamic weighted multi-digraph analysis, large-scale network visualization, and interdisciplinary applications in epidemiology and cultural analytics. James’s publications focus on scalable graph algorithms, visual metaphors for data exploration, and network decomposition. His work includes foundational contributions to graph sketches , quasi-clique detection , and 3D graph navigation , with applications to telecommunications, web graphs, and homeland security. Scientific awards include the ESA Test of Time Award (2017) , Best Teaching Award at Rutgers (2015) , and Fellow of the Institute of Combinatorics (1993) . He has advised numerous Ph.D. and M.S. students, and his research has been funded by NSF , DHS , and LLNL . James leads the Universal Information Graphs Project at DyDAn (DHS Center) and has developed software systems like MGV and Ask-GraphView for interactive graph analysis. He is an active organizer of conferences and workshops in data mining and visualization.











