Discussion with James Abello and Haoyang Zhang
Co-sponsored by the Berkeley Institute for Data Science, the School of Information, and the Department of Scandinavian.
Space is limited. Submit the application form to request an invitation.
Speakers
James Abello Monedero
Professor of Professional Practice
Department of Computer Science
Rutgers University
James Abello Monedero is an experimental computer scientist focused on algorithms and systems for graph mining, relational learning, visualization, and sense making of massive data sets. James received his Ph.D. in combinatorial algorithms from the University of California, San Diego, and M.S. in operating systems from the University of California, Santa Barbara. He is the recipient of a University of California President’s Postdoctoral Fellowship in computer science and has been recognized with teaching awards at Rutgers and at the University of California, Santa Barbara.
James is the co-editor of External Memory Algorithms, Vol. 50 of the AMS-DIMACS series (with J. Vitter, 1999) , The Kluwer Handbook of Massive Data Sets (with P. Pardalos and M. Resende, 2002), and Discrete Methods in Epidemiology (with Graham Cormode, 2006). He is founding member of the newly created International Culture Analytics Network supported by the Danish Council on Independent Research.
Haoyang Zhang
Haoyang Zhang is a fourth-year Ph.D. student in the computer science department, Rutgers University, where he completed his master’s degree. He obtained his BS in communication engineering at University of Electronic Science and Technology of China in Chengdu.