Pacific Northwest National Laboratory
Computer Scientist and Software Developer
Education:
Washington State University 2007 - 2015
Masters, Computer Science
Washington State University 2001 - 2004
Bachelors, Computer Science
Hermiston High School 1998
Washington State University Alumni Association
Master of Science, Masters, Computer Science
Skills:
Computer Science Machine Learning Algorithms Python C++ High Performance Computing Java Data Analysis Programming Data Mining Software Engineering Graph Analytics Graph Theory C Visual Analytics C++11 Network Science Jazz Piano Electronic Music Instrumentalist Musical Improvisation Synthesizer Programming Data Visualization
Pak C. Wong - Richland WA, US Patrick S. Mackey - Kennewick WA, US Kenneth A. Perrine - Richland WA, US Harlan P. Foote - Richland WA, US James J. Thomas - Richland WA, US
International Classification:
G06T 11/20 G06F 3/048
US Classification:
345440, 345441, 715853
Abstract:
Methods for visualizing a graph by automatically drawing elements of the graph as labels are disclosed. In one embodiment, the method comprises receiving node information and edge information from an input device and/or communication interface, constructing a graph layout based at least in part on that information, wherein the edges are automatically drawn as labels, and displaying the graph on a display device according to the graph layout. In some embodiments, the nodes are automatically drawn as labels instead of, or in addition to, the label-edges.
Decision Support Systems And Methods For Complex Networks
Zhenyu Huang - Richland WA, US Pak Chung Wong - Richland WA, US Jian Ma - Richland WA, US Patrick S Mackey - Richland WA, US Yousu Chen - Richland WA, US Kevin P Schneider - Seattle WA, US
Assignee:
Battelle Memorial Institute - Richland WA
International Classification:
G06Q 40/00
US Classification:
705 38, 705 36, 705 39
Abstract:
Methods and systems for automated decision support in analyzing operation data from a complex network. Embodiments of the present invention utilize these algorithms and techniques not only to characterize the past and present condition of a complex network, but also to predict future conditions to help operators anticipate deteriorating and/or problem situations. In particular, embodiments of the present invention characterize network conditions from operation data using a state estimator. Contingency scenarios can then be generated based on those network conditions. For at least a portion of all of the contingency scenarios, risk indices are determined that describe the potential impact of each of those scenarios. Contingency scenarios with risk indices are presented visually as graphical representations in the context of a visual representation of the complex network. Analysis of the historical risk indices based on the graphical representations can then provide trends that allow for prediction of future network conditions.
Data Graphing Methods, Articles Of Manufacture, And Computing Devices
Pak Chung Wong - Richland WA, US Patrick S. Mackey - Richland WA, US Kristin A. Cook - Richland WA, US Harlan P. Foote - Richland WA, US Lynn-Marie Peashka - Culdesac ID, US Mark A. Whiting - Richland WA, US
International Classification:
G06F 3/048 G06F 17/30
US Classification:
707722, 715771, 707E17014
Abstract:
Data graphing methods, articles of manufacture, and computing devices are described. In one aspect, a method includes accessing a data set, displaying a graphical representation including data of the data set which is arranged according to a first of different hierarchical levels, wherein the first hierarchical level represents the data at a first of a plurality of different resolutions which respectively correspond to respective ones of the hierarchical levels, selecting a portion of the graphical representation wherein the data of the portion is arranged according to the first hierarchical level at the first resolution, modifying the graphical representation by arranging the data of the portion according to a second of the hierarchal levels at a second of the resolutions, and after the modifying, displaying the graphical representation wherein the data of the portion is arranged according to the second hierarchal level at the second resolution.
"Bob was a wonderful horseman who was always there for his fellow race tracker," Patrick Mackey, director of racing, said in a statement. "His stories were legendary. He was a wealth of knowledge and imparted that knowledge to many over the years. He was a great man and his presence here at Golde