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.
 Sree Kadiyala

Sree Kadiyala - Graduate Research Assistant

WEB 4720-07
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supervisor Dr. Martin Berzins


I have an interdisciplinary background in engineering (mechanical, aerospace, and software). I am broadly interested in using computing tools and techniques to understand and solve complex interdisciplinary problems related to natural phenomena and engineered systems.

My current academic interests revolve around theory, implementation, and applications of Material Point Method (MPM). MPM is a very powerful mathematical technique for accurately simulating the real-world behavior of materials (solids, liquids, and gases).

Current Responsibilities

I'm currently developing a high-performance computing asynchronous-execution task-based simulation capability for modeling additive manufacturing (laser sintering) using material point method (MPM) - with a specific emphasis on simulating features like phase change, laser heating models, and energy modeling. MPM at scale is computationally very expensive, so the goal is to extend Uintah MPM code to application specific needs and implementing them with GPU-based parallel architectures.

For non-computational science readers: it basically says that I am working on simulating a manufacturing process using a clever mathematical technique on very powerful computers to get results as fast as possible and verify them against real-world measurements and data. Why? Every man-made product (ranging everything from a car to an iPhone) involves manufacturing components at some point. Fabricating complex three-dimensional products is an inefficient process; traditional manufacturing methods are fast, scalable but are highly wasteful. To improve quality, speed, efficiency, and durability of additive manufacturing requires accurate physical and computational models. Exploring the barriers by solving one small problem at a time.

Research Interests

  • Scientific Computing
  • Material Point Method