Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.
Dr. Amirhossein Arzani

Dr. Amirhossein Arzani - Assistant Professor of Mechanical Engineering

WEB 3616
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Background

Dr. Amir Arzani received his BS from Isfahan University of Technology (2010), MS from Illinois Institute of Technology (2012), and PhD from University of California Berkeley (2016) all in Mechanical Engineering. He was a postdoc for one year at UC Berkeley's Bioengineering Department and prior to joining SCI he was an Assistant Professor at Northern Arizona University (NAU) Mechanical Engineering Department for 5 years where he directed the Cardiovascular Biomechanics Lab. He is a recipient of the NSF CAREER Award.

Current Responsibilities

Dr. Arzani's group utilizes modern scientific computing tools for modeling, processing, and fundamental understanding of unsteady fluid flow problems with a particular emphasis on cardiovascular flows and image-based blood flow modeling. More recently, his group has focused on scientific machine learning approaches (physics-informed machine learning and sparse data-driven modeling) for modeling blood flow.

Research Interests

  • Scientific Machine learning
  • Data-driven reduced-order modeling
  • Computational fluid dynamics (CFD)
  • Computational structural mechanics
  • Mass transport
  • Dynamical systems
  • Cardiovascular biomechanics