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Machine Learning for Adaptive Discretization in Massive Multiscale Biomedical Modeling
Han, Changning, Prachi Gupta, Peng Zhang, Danny Bluestein, and Yuefan Deng. 2018. “Machine Learning for Adaptive Discretization in Massive Multiscale Biomedical Modeling”. The International Conference for High Performance Computing, Networking, Storage, and Analysisc.
Nathan Inan
CV
Publications
Please see http://robotics.ucmerced.edu/publications for a complete list of my publications. Citations on Google Scholar.
About Us
The lab (circa 2023) The Saha laboratory is a venture in neuronal signal transduction, gene transcription and neuroepigenetics. Our research is geared towards understanding signaling, transcriptional, and epigenetic mechanisms of neuronal gene expression and their roles in neurodevelopment...
People
Current Members Principal Investigator Erica Rutter Assistant Professor Department of Applied Mathematics Graduate Students Natalie Meacham (Applied Math Program) Undergraduate Students Ricardo Trujillo (CSE and Applied Mathematics Major) Kirankumar Ashokkumar (CSE and Applied Mathematics Major)...
Mathematical analysis of glioma growth in a murine model
Rutter, Erica M, Tracy L Stepien, Barrett J Anderies, Jonathan D Plasencia, Eric C Woolf, Adrienne C Scheck, Gregory H Turner, et al. 2017. “Mathematical Analysis of Glioma Growth in a Murine Model”. Scientific Reports 7 (1): 1-16.
Prediction and computer model calibration using outputs from multifidelity simulators
Goh, Joslin, Derek Bingham, James Paul Holloway, Michael J Grosskopf, Carolyn C Kuranz, and Erica Rutter. 2013. “Prediction and Computer Model Calibration Using Outputs from Multifidelity Simulators”. Technometrics 55 (4): 501-12.