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. Manish Parashar

Dr. Manish Parashar - Director & Chair in Computational Science and Engineering

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Manish received a BE degree in Electronics and Telecommunications from Bombay University, India, and MS and Ph.D. degrees in Computer Engineering from Syracuse University.

Current Responsibilities

  • Presidential Professor, School of Computing, The University of Utah
  • Chair in Computational Science and Engineering, Scientific Computing and Imaging (SCI) Institute
  • Faculty Director, Data Science & Ethics of Technology Initiative (DATASET), One-Utah Data Science Hub
  • Visiting Professor, Department of Computer Science, Rutgers, The State University of New Jersey
  • Founding Chair, IEEE Community on High-Performance Computing (TCHPC)

Research Interests

  • Computational and Data-Enabled Science and Engineering, Parallel & Distributed Computing (HPC, Cloud and Grid Computing)
  • Extreme-scale Computing and Data Management, Autonomic Computing

Short Bio:

Manish Parashar is Director of the Scientific Computing and Imaging (SCI) Institute, Chair in Computational Science and Engineering, and Presidential Professor, Kalhert School of Computing at the University of Utah. He very recently completed an IPA appointment at the National Science Foundation where he served as Office Director of the NSF Office of Advanced Cyberinfrastructure, as well as co-chair of the National Science and Technology Council’s Subcommittee on the Future Advanced Computing Ecosystem and the National Artificial Intelligence Research Resource Task Force (NAIRR). Manish’s research interests are in the broad areas of Parallel and Distributed Computing and Computational and Data-Enabled Science and Engineering and has published extensively in these areas. He has also deployed software systems that are widely used. Manish is the founding chair of the IEEE Technical Consortium on High Performance Computing (TCHPC) and serves on the editorial boards and organizing committees of a number of journals and international conferences and workshops. He has received several awards for his research and leadership, including the 2023 Achievement Award in High Performance Distributed Computing. He is Fellow of AAAS, ACM, and IEEE/IEEE Computer Society. For more information, please visit