Daniela Ushizima is a research scientist with the Analytics/Visualization and Mathematics groups in the Computation Research Division at Lawrence Berkeley National Laboratory, and a consultant for the National Energy Research Scientific Computing Center. Her work focuses on the investigation of ground-breaking areas that require digital signal and/or images for pattern recognition - these data range from biomedical pictures to porous material micro-tomography for applications to carbon sequestration. She acts as co-Principal Investigator of the projects: "Visualization and Analysis for Nanoscale Control of Geologic Carbon Dioxide" (Scidac-e) and "From images to models to computational input" (LDRD-DOE). Before joining LBNL in 2007, she was a professor of computer science at the Catholic University of Santos, Brazil. While professor, she was Principal Investigator of ‘Computer Vision’ in Leukemia Diagnosis (Young Researcher Grants) and FAP-Books (FAP-IV), co-Principal Investigator in Classification in Agriculture (Small Business Incentive Grants), all sponsored by FAPESP science foundation, Sao Paulo, Brazil. She received her PhD from the University of Sao Paulo (USP) in Computational Physics (2004), where she developed a prototype for computer-aided leukemia diagnosis in collaboration with Hematology Lab (FMRP-USP) and feature selection tools for general purpose data application, after she obtained a master degree at the same institute (thesis on biological signal processing). She was also a Visiting Researcher in the Electrical and Computer Engineering Department at UC Santa Barbara in 2004. Ushizima graduated from the Federal University of Sao Carlos in Brazil with a degree in Computer Science in 1997, completing a monograph on the automation of Intensive Therapy Unit procedures, reporting on her summer-job in industry (Dixtal Biomedica). Her interests include computer vision, machine learning, signal processing, quantitative microscopy, and high-performance computing.
Daniela M. Ushizima, Dmitriy Morozov, Gunther H. Weber, Andrea G.C. Bianchi, James A. Sethian, E. Wes Bethel, “Augmented Topological Descriptors of Pore Networks for Material Science”, IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE Vis 2012), 2012, 18:2041--2050, LBNL 5964E
C. Rycroft, D. M. Ushizima, R. Saye, C. M. Ghajar, J. A. Sethian, “Building a Physical Cell Simulation and Comparing with Confocal Microscopy”, Bay Area Physical Sciences–Oncology Center (NCI) Meeting UCSF Medical Sciences, September 2010,
D. M. Ushizima, F. N. S. Medeiros, J. Cuadros, C. I. O. Martins, “Vessel Network Detection Using Contour Evolution and Color Components”, Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, September 2010,
A. Uselton, K. Antypas, D. M. Ushizima, J. Sukharev, “File System Monitoring as a Window into User I/O Requirements”, Proceedings of the 2010 Cray User Group Meeting, Edinburgh, Scotland, Edinburgh, Scotland, May 24, 2010,
Oliver Rübel, Sean Ahern, E. Wes Bethel, Mark D. Biggin, Hank Childs, Estelle Cormier-Michel, Angela DePace, Michael B. Eisen, Charless C. Fowlkes, Cameron G. R. Geddes, Hans Hagen, Bernd Hamann, Min-Yu Huang, Soile V. E. Keränen, David W. Knowles, Cris L. Luengo Hendriks, Jitendra Malik, Jeremy Meredith, Peter Messmer, Prabhat, Daniela Ushizima, Gunther H. Weber, Kesheng Wu, “Coupling Visualization and Data Analysis for Knowledge Discovery from Multi-Dimensional Scientific Data”, Proceedings of International Conference on Computational Science, ICCS 2010, May 2010,