About SPIN
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Mentors
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2017-2018 Academic Year Interns
Yuyuan Chen
Project scope:
Music composition and sound design on supercomputers
Mentor:
Sever Tipei
Min Kyu Cho
- Computer Science
Project scope:
Speech-to-text auto captioning
Mentor:
Michael Miller
- Event Services
Isaac Howenstine
- Civil Engineering
Project scope:
Inverse design of schooling dynamics
Mentor:
Mattia Gazzola
Sijia Huo
- Mathematics, Computer Science, Statistics, Economics
Project scope:
Solving complex data analytics problems with advanced statistics
Mentor:
Liudmila Mainzer
Hannah Kim
- Elementary Education
Project scope:
Developing a support tool for optimising the presentation format of a biofeedback training program used in stress management
Mentor:
Kiel Gilleade
- Culture & Society
Cynthia Liu
- Bioengineering
Project scope:
Design Nextflow-based workflow for RNA-Seq
Mentor:
Liudmila Mainzer
Pei Liu
Project scope:
Data storage and analysis for optical properties of semiconductor nanocrysytals
Mentor:
Andre Schleife
Simeng Liu
- Economics
Project scope:
Deep learning
Mentor:
Volodymyr Kindratenko
- Innovative Systems Lab
Alex Moore
Project scope:
World Weather Data Daily
Mentor:
Peter Christensen
- Earth & Environment
Xueting Nie
- Computer Science
Project scope:
Convert Java-based GWAS code for Spark
Mentor:
Liudmila Mainzer
Vedant Puri
- Engineering Mechanics
Project scope:
Enhancing the multigrid elliptic solver of the Einstein Toolkit
Mentor:
Roland Haas
- Gravity Group
He Qu
- Computer Science
Project scope:
FPGA implementation of bioinformatics algorithms
Mentor:
Volodymyr Kindratenko
- Innovative Systems Lab
Craig Santo
- Computer Science
Project scope:
AVL general projects
Mentor:
Donna Cox
- Advanced Visualization Lab
Sujay Shah
- Computer Engineering
Project scope:
Virtual reality and ray tracing for computational materials science
Mentor:
Andre Schleife
Bowen Song
- Applied Mathematics and Computer Science
Project scope:
Using satellite data for large-scale crop monitoring
Mentor:
Kaiyu Guan
Nick Zhaoyuan Su
- Architecture
Project scope:
Developing a support tool for optimising the presentation format of a biofeedback training program used in stress management
Mentor:
Kiel Gilleade
- Culture & Society
Xin Wen
- Computer Science
Project scope:
Machine learning for acceleration of Monte Carlo transport
Mentor:
Kathryn Huff
- Nuclear, Plasma, and Radiological Engineering, The Grainger College of Engineering
David Wong
- Engineering Physics
Project scope:
Replicability and reproducibility in computational physics
Mentor:
Matthew Krafczyk
- Computing and Data Sciences
Xintong Wu
- Computer Science and Art and Design
Project scope:
Using satellite data for large-scale crop monitoring
Mentor:
Kaiyu Guan
Ke Xu
- Computer Engineering
Project scope:
Scalability of Deep Learning Frameworks
Mentor:
Volodymyr Kindratenko
- Innovative Systems Lab
Chuhan Yu
- Learning and Education
Project scope:
Developing a support tool for optimising the presentation format of a biofeedback training program used in stress management
Mentor:
Kiel Gilleade
- Culture & Society
Returning Interns
Antonio Massoni Abinader
- Electrical and Computer Engineering
Project scope:
Deep learning
Mentor:
Volodymyr Kindratenko
- Innovative Systems Lab
Siddharth Ahuja
- Computer Engineering
Project scope:
Virtual reality and ray tracing for computational materials science
Mentor:
Andre Schleife
Adhithya Bhaskar
- Computer Engineering
Project scope:
Replicability and reproducibility in computational physics
Mentor:
Matthew Krafczyk
- Computing and Data Sciences
Nathanael Michael Claussen
- Statistics
Project scope:
Data-driven scientific visualization with virtual and augmented reality
Mentor:
Matthew Turk
Derek Glennon
Project scope:
Simulating neutron stars with computational fluid dynamics
Mentor:
Charalampos Markakis
- Physics and Astronomy
Daniel Jefferson Gross
- Liberal Arts & Sciences
Project scope:
A stand-alone tool for
p
-refinements of 3D finite element meshes with boundary conditions
Mentor:
JaeHyuk Kwack
- Scientific and Engineering Applications Support Group
Sahil Gupta
- Computer Science
Project scope:
Efficient querying of provenance graphs
Mentor:
Bertram Ludaescher
Nick Heyek
- Mathematics and Computer Science
Project scope:
TERRA REF: A computer vision and machine learning pipeline to interpret plant traits and predict yields
Mentor:
David LeBauer
- Earth & Environment
Daniel Johnson
- Physics and Computer Science
Project scope:
Modeling and characterization of black hole mergers in dense stellar environments with the Einstein Toolkit
Mentor:
Eliu Huerta
- Physics and Astronomy
Tanitpong Lawphongpanich
- Computer Engineering
Project scope:
Supercomputer monitoring
Mentor:
Mark Fredricksen and Daniel LaPine
Anh Nguyen
- School of Art & Design
Project scope:
General projects
Mentor:
Donna Cox
- Advanced Visualization Lab
Roshan Rajan
- Computer Engineering
Project scope:
Deep learning
Mentor:
Volodymyr Kindratenko
- Innovative System Lab
Rahul Sachdeva
- Computer Engineering
Project scope:
Scientific workflow systems (general computer science or astronomy-application specific)
Mentor:
Daniel Katz
- Scientific Software and Application
Zekun Wei
- Electrical Engineering
Project scope:
Virtual reality and ray tracing for computational materials science
Mentor:
Andre Schleife
Yan Zhan
- Computer Engineering
Project scope:
Expeditions in emerging computer architecture
Mentor:
Volodymyr Kindratenko
- Innovative Systems Laboratory
Project report
Past SPIN interns
See the interns who participated from:
Fall
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
Summer
2021
2020
2019
2018
2017
2016
2015