Biography

Bo Sun received her B.S. in Computer Science from Wuhan University, her M.S. in Computer Science from Lamar University, and her Ph.D. in Modeling and Simulation from Old Dominion University. Her research interests are Data Visualization, Serious Gaming, and Virtual Reality/Augmented Reality-based Simulation.

She has taught the following courses at Rowan: Introduction to Object Oriented Programming.

Education:
BS (Computer Science), Wuhan University
MS (Computer Science), Lamar University
PhD (Modeling and Simulation), Old Dominion University

Research Expertise:
Data Visualization | Serious Game | VR/AR-based Simulation

For the past ten years, I have committed my research to develop visualizations, particularly simulation using Immersive Technologies and Computer Vision. My current research interests also include Data Visualization, Image Processing and Natural Language Animation.

Awards and Honors:
Best presentation, Siemens Tech. to Bus. Post-doc Workshop on Technology, Innovation and Entrepreneurship 2008
Euro SIWzie award, 2005 European Simulation Interoperability Workshop
SIWzie award, 2005 Spring Simulation Interoperability Workshop

Member of:
IEEE
NCWIT

Recent Academic Projects:
Developed a visual tracking method to monitor eye movement in cognitive neuroscience using computer vision techniques. Conducted visual analysis to find out possible reasons of a popular local bird in a wildlife preserve based on two large scale and multi-dimensional datasets on chemical release and meteorological information. Developed serious game prototype to assess learning outcomes of higher education particularly for minority students.

Recent Publications:

• Sun B, Xu W, Jessamy R, Ha S (2017) A Tableau Case Study On Visual Analysis To Explore Mystery At Wildlife Preserve. IEEE Visualization and Computer Graphics, IEEE VIS 2017 VAST Challenging, Phoenix, AZ, Oct 2017.
• Sun B, Igbiriki R, Pere P, Edwards A (2016) Kizzle- An App For Learning. The 10th International Conference On Interactive Mobile Communication Technologies and Learning, IMCL2016, San Diego, CA, Oct 2016.
• Sun B (2014) An Image Processing-Based Method For Quantification Of Microvasculature. The 2014 IEEE International Conference on Multimedia and Expo, Chengdu, China, July 2014 pp. 1-6.
• Li J, Vadlamudi A, Chuang SH, Sun X, Sun B, McKenzie FD (2012) Prostate cancer region prediction by fusing results from MALDI SPECTRA PROCESSING AND TEXTURE ANALYSIS. Simulation: Transactions of the Society for Modeling and Simulation International. 88:1247-1259.