My name is Chihua Ma (马驰华), meaning a little horse running around China.
I am currently Director of Visual Analytics, Decision Sciences at Epsilon.
I received my PhD degree in Computer Science from UIC in 2018. My PhD research focused on visual analysis for dynamic, multi-scale and multi-run biological networks with multivariate features. My advisors were Dr. Robert Kenyon and Dr. G. Elisabeta (Liz) Marai.
My CV can be found here
G. E. Marai, C. Ma, A. Burks, F. Pellolio, G. Canahuate, D. Vock, A.S.R. Mohamed, and C.D. Fuller. Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots. IEEE Transactions on Visualization and Computer Graphics, vol. 14, pp. 1-11, March 2018.
C. Ma, F. Pellolio, D.A. Llano, R.V. Kenyon, and G. E. Marai. RemBrain: Exploring Dynamic Biospatial Networks with Mosaic-Matrices and Mirror Glyphs. Journal of Imaging Science and Technology, Volume 61, Number 6, November 2017, pp. 60404-1-60404-13(13).
C. Ma, T. Luciani, A. Terebus, J. Liang, and G. E. Marai. PRODIGEN: Visualizing the Probability Landscape of Stochastic Gene Regulatory Networks in State and Time Space. BMC Bioinformatics, 18, no. 2 (2017): 24. PDF
C. Ma, A. Forbes, D.A. Llano, T. Berger-Wolf, and R.V. Kenyon. SwordPlots: Exploring Neuron Behavior within Dynamic Communities of Brain Networks. Journal of Imaging Science and Technology, Volume 60, Number 1, January 2016, pp. 10405-1-10405-13(13). Charles E. Ives Journal Award. PDF
D. Kirilov, I. Lindmae, A. Burks, C. Ma, and G. E. Marai. "MC1: A Bespoke Analysis Tool for Spatio-temporal Park Traffic Data" IEEE Visual Analytics Science and Technology (VAST) Challenge 2017 Proceedings, pp. 1-2, 2017.
D. McNamara, J. Tapia, C. Ma, T. Luciani, A. Burks, J. Trelles, and G. E. Marai. Spatial Analysis of Employee Safety Using Organizable Event Quiltmaps. In Proceedings of the IEEE VIS 2016 Workshop on Temporal & Sequential Event Analysis, Baltimore, MD, USA, October 2016. PDF
C. Ma, R.V. Kenyon, A. Forbes, T. Berger-Wolf, B.J. Slater, and D.A. Llano. Visualizing Dynamic Brain Networks Using an Animated Dual-Representation. In Proceedings of the Eurographics Conference on Visualization (EuroVis’15 Short papers), pp. 73-77, Cagliari, Italy, May 2015. PDF
C. Ma, S. Liberman, and H. Zheng. GCLViz: Garbage Collection vs. Latency Visualization. In Proceedings of the 5th International Conference on Information Visualization Theory and Applications (IVAPP), pp. 292-299, Lisbon, Portugal, 5-8 January, 2014. PDF
C. Ma, A. Burks, T. Luciani, A. Terebus, J. Liang, and G. E. Marai. Visualizing ensemble time-evolving probability landscapes of stochastic networks. ISMB/ECCB 2017, pp. 1-2, BioVis’17, Jul 2017. PDF
T. Luciani, J. Trelles, C. Ma, A. Burks, M. M. Thomas, K. Bharadwaj, S. Singh, P. Hanula, L. Di and G. E. Marai. Multi-scale Voronoi-based ACT Assessment. IEEE VGTC VPG International Data-Visualization Contest, Baltimore, MD, USA, October 2016. Honorable Mention. Link
T. Luciani, C. Ma, J. Trelles, and G. E. Marai. Developing a Data-Driven Wiki of Spatial-Nonspatial Integration Tools. In Proceedings of the IEEE VIS 2016 Workshop on Creation, Curation, Critique and Conditioning of Principles and Guidelines in Visualization (C4PGV), Baltimore, MD, USA, October 2016. PDF
C. Ma, R.V. Kenyon, T. Berger-Wolf, and D.A. Llano. Visualizing Communities in Dynamic Mouse Brain Networks. In Proceedings of the IEEE Information Visualization Conference (InfoVis’14), Paris, France, 9-14 November, 2014. PDF