SPIN/REU-INCLUSION Joint Poster Session
Friday, July 31, 2020
All sessions will be webcast via Zoom.
SPIN/REU-INCLUSION poster session schedule
Session 1: 9:00 a.m.
- Zixuan Chen (subject matter: visualization, atomic structure, materials science)
- Brian Chen (subject matter: video classification, sea turtle footage, deep learning)
- Keshav Gandhi, Sophia Torrellas (subject matter: glioma tumor epidemiology, machine learning, magnetic resonance imaging)
- Tao Zang (subject matter: West Nile Virus, deep learning, satellite imagery)
- Andrew Lee (subject matter: modeling, sterols, membranes)
- Andrew Wang (subject matter: (density functional theory, thermoelectrics, Django)
- Ke Deng (subject matter: 3D visualization, biological networks, Unity)
- Xilin Jiang (subject matter: GPU parallel programming, molecular dynamics simulation, clustering algorithms)
- Dhruv Sirsikar, Arnaldo Rios (subject matter: human falling, IBM POWER Insights)
- Prannav Gupta, Aneesh Lodhavia (subject matter: human falling, Vision Processing Unit, machine learning)
- Wei Luo (subject matter: music, high-performance computing, DISSCO)
Session 2: 10:00 a.m.
- Andy Sima (subject matter: image analysis, West Nile Virus, mapping)
- Amber Hunter (subject matter: virtual reality, nuclear reactors)
- Kajetan Haas (subject matter: visualization, augmented reality, 3D graphics)
- Saumya Agrawal (subject matter: biomarkers, coronary microvascular disease)
- Meridith Embry (subject matter: bioinformatics, Python, genetics simulation)
- Chenyu Zhao (subject matter: speech recognition, language modeling, auto captioning)
- Ishani Desai (subject matter: football analytics, frequent patterns, rule association)
- Hector Cruz (subject matter: breast cancer, disparities, African-American women)
- Xiyi Chen (subject matter: peak prediction, linear regression, deep learning)
- Vivian Hu, Xiyi Chen (subject matter: peak prediction, linear regression, deep learning)
- Xiaobo Huang (subject matter: gravitational waves, deep learning)
Session 3: 11:00 a.m.
- Sneh Pandya (subject matter: astronomy, visualization, deep learning)
- Mary Cook (subject matter: COVID-19, stochastic simulation, modeling)
- Rui Liu (subject matter: Champaign County 211, service provision)
- Yuqi Mao (subject matter: deep learning, quantization, hardware acceleration)
- Sarah Kishta (subject matter: gun violence, biosensors, physiological states)
- Xinyue Li (subject matter: Clowder, Flask, extraction)
- Anshul Shah (subject matter: galaxy segmentation, deblending, deep learning)
- Bing-Jyun Tsao (subject matter: computational fluid dynamics, large-eddy simulations, machine learning)
- Rui Shi (subject matter: modeling, rural spread, COVID-19)
- Daniel Xu (subject matter: health disparities, multidimensional datasets)
- Robert Nagel (subject matter: gravitational waves, Python, infrastructure)
SPIN/REU-INCLUSION posters
Discovery of Biomarkers for Coronary Microvascular Disease
Authors: Saumya Agrawal, Alicia Arredondo Eve Mentors: Justina Zurauskiene, Zeynep Madak-Erdogan
AI System for the Identification of Wildlife Species
Author: Brian Chen Mentors: AimanS Soliman, Brian Allan
Riding the Epidemic Wave: Nowcasting and Forecasting of COVID-19 in Illinois and Beyond with Various Intervention Protocols
Author: Mary Cook Mentor: Ahmed Elbanna
Understanding Breast Cancer Disparities in African American Women
Author: Hector Cruz Mentors: Zeynep Madak-Erdogan, Ashlie Santaliz-Casiano
3D Biological Network Visualization
Author: Ke Deng Mentors: Kalina Borkiewicz, Charles Blatti, Donna Cox, Colleen Bushell
Automation of Genomic Analyses for the Cloud, Grid, and Analytics Platforms
Author: Meridith Embry Mentor: Joshua Allen
Machine Learning for Magnetic Resonance Imaging: Glioma Tumors and Epidemiology
Authors: Keshav Gandhi, Sophia Torrellas Mentors: Prakruthi Burra, Liudmila Mainzer
Optimizing Human Fall Detection on Edge Devices with OpenVINO
Authors: Prannav Gupta, Aneesh Lodhavia Mentor: Volodymyr Kindratenko
RIVEEL3D: Augmented Reality
Author: Kajetan Haas Mentors: Donna Cox, AJ Christensen, Georgios Artopoulos
Apply Machine Learning Models and Reverse Engineering on Predicting Optical Properties of Semiconductor Bilayers
Authors: Vivian Hu, Xiyi Chen Mentors: Andre Schleife, Michal Ondrejcek, Erick Ivan Hernandez Alvarez
Deep Learning For Gravitational Wave Astrophysics
Authors: Xiaobo Huang, William Wei Mentor: Eliu Huerta
GPU Computing for Bionanotechnology
Author: Xilin Jiang Mentors: Aleksei Aksimentiev, Christopher Maffeo
Multiscale-Modeling of Sterols in Membrane Environment
Author: Andrew Lee Mentors: Ashley De Lio, Taras Pogorelov
Champaign 211 System Reboot: Redesigning for Crisis Response
Author: Rui Liu Mentors: Anita Chan, Jorge Rojas-Alvarez
Improving a Pipeline for Extracting Gravitational Waveforms
Author: Robert Nagel Mentor: Roland Haas
AGNet: Weighing Black Holes Using Deep Learning
Authors: Sneh Pandya, Devanshi Pratap Mentors: Joshua Yao-Yu Lin, Xin Liu
Galaxy Segmentation and Deblending using Deep Learning
Author: Anshul Shah Mentors: Colin Burke, Patrick Aleo, Xin Liu
Predictive Modeling for Rural Spread of COVID-19
Author: Rui Shi Mentors: Prakruthi Burra, Weihao Ge, Eleftheria Koutou, Daniel Lanier, Liudmila Mainzer
Automated Image Analysis of West Nile Virus Risk: Housing Age
Authors: Andy Sima, Tao Zang Mentor: Weihao Ge
Human Fall Detection with IBM Power AI Insights
Authors: Dhruv Sirsikar, Arnaldo Rios Mentor: Volodymyr Kindratenko
Predicting West Nile Virus Outbreaks by Deep Learning Based Satellite Imagery Analysis
Authors: Tao Zang, Andy Sima Mentor: Weihao Ge
