2020-2021 Academic Year Interns
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Returning Interns
Academic Year Interns
Sruthi Bhattiprolu
Project: Implementation of machine learning algorithms on FPGAs
Mentor(s): Ashish Misra, Volodymyr Kindratenko
Melissa Chen
Computer Science
Project: Using Satellite Data for Large-Scale Crop Monitoring
Mentor(s): Kaiyu Guan, Jian Peng
Churan He
Project: Implementation of machine learning algorithms on FPGAs
Mentor(s): Ashish Misra, Volodymyr Kindratenko
Mohammed Shafwat Jamil
Project: Automatically testing the Einstein Toolkit using GitHub
Mentor(s): Roland Haas
Yihong Jian
Project: Using satellite data for large-scale crop monitoring
Mentor(s): Kaiyu Guan, Jian Peng
Matthew Jin
Project: Natural language processing methods to parse birth and death records
Mentor(s): Zeynep Madak-Erdogan, Justina Zurauskiene
Maxwell Jong
Project: Using satellite data for large-scale crop monitoring
Mentor(s): Kaiyu Guan, Jian Peng
Aditya Mansharamani
Computer Science
Project: Microbial biomarkers of food intake
Mentor(s): Hannah Holscher
Ritika Sinha
Project: Computational program for racial health disparities
Mentor(s): Liudmila Sergeevna Mainzer
John W. Walls
Project: Using satellite data for large-scale crop monitoring
Mentor(s): Kaiyu Guan, Jian Peng
Justin Wang
Project: Machine learning approach to computational fluid dynamics
Mentor(s): Shirui Luo, Volodymyr Kindratenko
Ruobin Wang
Project: Improving Champaign County 211 information for crisis response
Mentor(s): Anita Say Chan, Jorge Rojas Alvarez
Yuzhou Wang
Project: Deep learning for multi-messenger astrophysics
Mentor(s): Eliu Huerta
Trevor Wong
Project: Using satellite data for large-scale crop monitoring
Mentor(s): Kaiyu Guan, Jian Peng
Returning Interns
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Saumya Agrawal
Computer Science and Statistics
Project: Determination of biomarkers to be used in the diagnosis of cardiac microvascular disease in postmenopausal women
Mentor(s): Zeynep Madak-Erdogan, Justina Zurauskiene
Recognition: Fiddler Innovation Undergraduate Student Fellowship Award
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Pranshu Chaturvedi
Project: Innovative Systems Lab projects
Mentor(s): Volodymyr Kindratenko – Innovative Systems Lab
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Zixuan Chen
Computer Science
Project: Virtual reality and ray tracing for computational materials science
Mentor(s): Andre Schleife
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Ke Deng
Computer Science and Statistics
Project: Advanced Visualization Lab general projects
Mentor(s): Donna Cox
Recognition: Fiddler Innovation Undergraduate Student Fellowship Award
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Ishani Desai
Statistics and Computer Science
Project: Athletic data analysis
Mentor(s): Loretta Auvil
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Meridith Embry
Agricultural and Biological Engineering
Project: Automation of genomic analyses for the cloud, grid and analytics platforms
Mentor(s): Liudmila Sergeevna Mainzer
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Kajetan Haas
General Studies
Project: Visualization innovation projects
Mentor(s): Donna Cox
Recognition: Fiddler Innovation Undergraduate Student Fellowship Award (2019, 2020)
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Sarah Kishta
Community Health
Project: Gun violence sensor research project
Mentor(s): Ruby Mendenhall
Recognition: Fiddler Innovation Undergraduate Student Fellowship Award
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Andrew Sunwoo Lee
Chemistry
Project: Multiscale modeling of the cell membrane-associated phenomena
Mentor(s): Taras Pogorelov
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Wei Luo
Computer Science
Project: Music on high-performance computers
Mentor(s): Sever Tipei
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Zhili Luo
Electrical & Computer Engineering
Project: Virtual reality and ray tracing for materials science data visualization
Mentor(s): Andre Schleife
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Rauf Makharov
Biochemistry
Project: Innovative Systems Lab Projects
Mentor(s): Aiman Soliman, Volodymyr Kindratenko
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Sneh Pandya
Physics
Project: Weighing black holes with deep learning
Mentor(s): Xin Liu
Recognition: Fiddler Innovation Undergraduate Student Fellowship Award; NCSA Letter of Recognition
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Anshul Shah
Engineering Physics
Project: Meeting the LSST data challenge: Galaxy detection and segmentation with deep learning
Mentor(s): Xin Liu
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Keshav Shivam
Computer Science
Project: Neuromorphic computing
Mentor(s): Mattia Gazzola, Volodymyr Kindratenko
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Andy Sima
ESE (Sustainability) and Creative Writing
Project: Resolving health disparities by using advanced statistics on complex multidimensional datasets
Mentor(s): Zeynep Madak-Erdogan, Liudmila Sergeevna Mainzer, Justina Zurauskiene
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Andrew Wang
Chemical and Biomolecular Engineering
Project: Improving thermoelectric properties via dopability predictions
Mentor(s): Elif Ertekin
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Tao Zang
Civil and Environmental Engineering
Project: Resolving health disparities by using advanced statistics on complex multidimensional datasets
Mentor(s): Zeynep Madak-Erdogan, Liudmila Sergeevna Mainzer, Justina Zurauskiene
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Chenyu Zhao
Computer Science and Linguistics
Project: Speech-to-text auto captioning
Mentor(s): Michael Miller – NCSA Event Services
