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 poster

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 poster

AI System for the Identification of Wildlife Species

Author: Brian Chen Mentors: AimanS Soliman, Brian Allan

Visualizing Atomic Geometry with Ray Tracing Software poster

Visualizing Atomic Geometry with Ray Tracing Software

Author: Zixuan Chen Mentor: Andre Schleife

Understanding Breast Cancer Disparities in African American Women poster

Understanding Breast Cancer Disparities in African American Women

Author: Hector Cruz Mentors: Zeynep Madak-Erdogan, Ashlie Santaliz-Casiano

3D Biological Network Visualization poster

3D Biological Network Visualization

Author: Ke Deng Mentors: Kalina Borkiewicz, Charles Blatti, Donna Cox, Colleen Bushell

Athletic Data Analysis poster

Athletic Data Analysis

Author: Ishani Desai Mentors: Loretta Sue Auvil, Kingsley Osei-Asibey

Machine Learning for Magnetic Resonance Imaging: Glioma Tumors and Epidemiology poster

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 poster

Optimizing Human Fall Detection on Edge Devices with OpenVINO

Authors: Prannav Gupta, Aneesh Lodhavia Mentor: Volodymyr Kindratenko

RIVEEL3D: Augmented Reality poster

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 poster

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 poster

Deep Learning For Gravitational Wave Astrophysics

Authors: Xiaobo Huang, William Wei Mentor: Eliu Huerta

Virtual Nuclear Micro Reactor User Facility poster

Virtual Nuclear Micro Reactor User Facility

Author: Amber Hunter Mentor: Kathryn Huff

GPU Computing for Bionanotechnology poster

GPU Computing for Bionanotechnology

Author: Xilin Jiang Mentors: Aleksei Aksimentiev, Christopher Maffeo

Gun Violence Sensor Research Project poster

Gun Violence Sensor Research Project

Author: Sarah Kishta Mentors: Ruby Mendenhall, Kiel Gilleade

Multiscale-Modeling of Sterols in Membrane Environment poster

Multiscale-Modeling of Sterols in Membrane Environment

Author: Andrew Lee Mentors: Ashley De Lio, Taras Pogorelov

Champaign 211 System Reboot: Redesigning for Crisis Response poster

Champaign 211 System Reboot: Redesigning for Crisis Response

Author: Rui Liu Mentors: Anita Chan, Jorge Rojas-Alvarez

Music on High-Performance Computers poster

Music on High-Performance Computers

Author: Wei Luo Mentor: Sever Tipei

Quantization of Neural Networks poster

Quantization of Neural Networks

Author: Yuqi Mao Mentors: Ashish Misra, Volodymyr Kindratenko

Improving a Pipeline for Extracting Gravitational Waveforms poster

Improving a Pipeline for Extracting Gravitational Waveforms

Author: Robert Nagel Mentor: Roland Haas

AGNet: Weighing Black Holes Using Deep Learning poster

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 poster

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 poster

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 poster

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 poster

Human Fall Detection with IBM Power AI Insights

Authors: Dhruv Sirsikar, Arnaldo Rios Mentor: Volodymyr Kindratenko

Machine Learning Approach to Computational Fluid Dynamics poster

Machine Learning Approach to Computational Fluid Dynamics

Author: Bing-Jyun Tsao Mentor: Shirui Luo

Creating a Browser-Based Version of VTAnDeM poster

Creating a Browser-Based Version of VTAnDeM

Author: Andrew Wang Mentor: Elif Ertekin

Speech-to-Text Auto Captioning poster

Speech-to-Text Auto Captioning

Author: Chenyu Zhao Mentor: Michael Miller