Join Us at the 2019 Data Science Poster Fair!

Apr 15 2019 - 1:00pm to 4:00pm
Walter Library, 4th Floor

The Data Science Poster Fair will highlight the Capstone Projects being carried out by our M.S. students as part of their degree. This will be a good opportunity to see how Data Science can be applied to a wide range of topics, including social web, biology, medicine, statistical modeling, and scalable algorithms. You, your colleagues and friends are all invited to drop by, browse the posters, and meet the Data Science students. Light refreshments will be served.

Join us to meet and mingle with current Data Science faculty and students and explore some of the interesting and relevant research happening in our department!

April 15, 2019
1:00 pm - 4:00 pm
Digital Technology Center
Walter Library, 4th Floor

2019 Data Science Poster Show Detailed Schedule

POSTER SETUP AND PREP

11:00am-1:00pm   

Poster Show Main Program

1:00pm-4:00pm

Presenter

Time

Capstone Project and Poster Title

Faculty Advisor

Poster Number

Dhananjay Muddappa

1-2pm

Analysis of patient outcome

Erich Kummerfeld

1

Jishnu Bhattacharyya

1-2pm

Structural Event Prediction

Paul Schrater

2

Yinqiao Zheng

1-2pm

Data-Driven Analysis of Motion Sickness in Virtual Reality

Evan Suma Rosenberg

3

Yue Bi

1-2pm

Global Climate Model Downscaling

Daniel Boley

4

Rahul Bhojwani

1-2pm

Measurement of Internal Focus state

Paul Schrater

5

Ryan Davidson Chan

1-2pm

Relational Inverse Reinforcement Learning

Paul Schrater

6

Wen Jing

1-2pm

Eliminate Gap Between Lab Achievements and Potential Users: Publish Lab Code to GitHub

Shashi Shekhar

7

Vishesh Shrivastav

1-2pm

Object captioning systems using Deep Learning for describing images and videos

Xiaotong Shen

8

Xuan Bi

1-2pm

Evolution of Influenza Virus Across Hosts

Daniel Boley

9

Ujval Bangalore Umesh

2-3pm

Urban Garden Detection

Shashi Shekhar

10

Chunni Zhao

2-3pm

Estimation of group structure based on mutual information

Daniel Boley

11

Shruti Verma

2-3pm

Handwritten Text Transcription

Lucy Fortson

12

Krishna Chaitanya Bandi

2-3pm

Predicting Numeric Data using Images

Paul Schrater

13

Saurabh Jogalekar

2-3pm

Clustering galaxy images

Lucy Fortson

14

Yanning Jia

2-3pm

LSTM-FCN in Vegetation Index Prediction

Hyun Soo Park

15

Swaraj Khadanga

2-3pm

Improving Clinical Predictions guided by Text

Jaideep Srivastava

16

Bethany Stai

2-3pm

Estimating Clinical Events in Claims Data

Gyorgy Simon

25

Manish Rai

3-4pm

Deep Learning for Species Detection

Lucy Fortson

17

Thao Nguyen

3-4pm

How drugs with black box warning affect heart disease outcomes in breast cancer patients

Rui Zhang

18

Manish Kumar Keshri

3-4pm

NLP for Protein Sequencing

Rui Kuang

19

Prableen Kaur

3-4pm

Study of Causal Inference in Course Sequences

George Karypis

20

Yi-Chun Lu

3-4pm

Using Deep Generative Models to Enhance Lane Visibility for Autonomous and Assisted Driving

Junaed Sattar

21

Ayush Tomar

3-4pm

Modeling time series of commodity prices using self-exciting processes

Jarvis Haupt

22

Qinxin Xu

3-4pm

Detecting Safety Signals of Dietary Supplements in Electronic Health Record

Rui Zhang

23

Yali Dong

3-4pm

Accessing Dynamic Qualities of Emotional Expressions in Faces

Stephen J. Guy

24