Research Talk Schedule
- Summer 2013 (active tab)
- Spring 2013
- Winter 2013
- Fall 2012
- Fall 2013
- Winter 2014
- Spring 2014
- Summer 2014
- Fall 2014
- Winter 2015
- Spring 2015
- Summer 2015
- Fall 2015
- Winter 2016
- Spring 2016
- Fall 2016
- Winter 2017
- Spring 2017
- Fall 2017
The Research Talk format will be a Brown Bag Lunch.
Snacks and Beverages provided.
Begin gathering at noon, talk commences at 12:30 in CP 206M
|Date of Presentation||Presenter(s)||Research Focus|
Topic: Measuring Impact of Professional Development Training in Special Needs Instruction using Data Science
Abstract: This project aims to address the problem of measuring Quality of Professional Development (QPD) of teachers working with special needs students in the State of Washington. We will explore QPD survey data, State Funding Allocation data and Student Performance data in this work. Our plan is to use expressive, dynamically generated visualizations to help discover relationships between key attributes within a dataset and among distinct datasets. With insights gained through visualization we use data analysis to confirm our intuitions about correlations in the data and generate data mining models to make predictions about the likelihood of specific educational outcomes. For special needs education the objective of developing such predictive models is to ensure that special needs students meet proficiency targets, thereby continuously increasing the quality of education made available to these students.
Presenter: Sofie De Clercq (Ghent University)
Presenter: Muaz Mian
Title: "Query Builder: Exploring Big Data in Real-Time"
The amount of data is growing and enterprises want to realize the hidden value behind big data. However,
often are not real-time. Users often wait for hours for a query to execute to extract the relevant data
than traditional DBMS. The main goal of this project is to design a browser based tool that can act as an
efficiency will stem from our proposal to perform automated schema inference, and use main-memory
main-memory databases in our tests on healthcare big data. This project will be supported in part by the
Presenters: Kiyana Zolfaghar, Deepthi Sistla, Naren Meadem
Title: "Risk-O-Meter: An Intelligent Clinical Risk Calculator for Readmission in Congestive Heart Failure Patients"
Congestive Heart Failure (CHF) is one of the leading causes of hospitalization, and studies show that many of these admissions are readmissions within a short window of time. Identifying CHF patients who are at a greater risk of hospitalization can guide implementation of appropriate plans to prevent these readmissions. Developing predictive modeling solutions for such disease related risk of readmissions is extremely challenging in healthcare informatics. It involves integration of socio-demographic factors, health conditions, disease parameters, hospital care quality parameters, and a variety of variables specific to health care providers making the task immensely complex. Data extraction and data preprocessing such as feature selection, missing value imputation and data balancing are some of the prominent steps that we focus on to improve prediction outcomes.
In this project, in collaboration with experts from Multicare Health Systems (MHS), we present a system called Risk-O-Meter to predict and analyze readmission risk via data imputation, visualization, predictive modeling, and association rule exploration. Risk-O-Meter is designed in a way such that it is flexible enough to accept limited or incomplete data inputs, and still manages to predict the risk efficiently. Moreover, along with the risk of readmission calculation, Risk-O-Meter will also suggest a meaningful explanation of data behind the risk of readmission prediction and offers intelligent visualization of pertinent characteristics of the data, based on input value.
Presenter: Yitao Li
Topic: Challenges and solutions for extracting meta-data such as title, author, reference information, and reference context from academic publications.
This talk is based on Yitao's experience in the first half of the summer internship at Microsoft.
Presenters: Graduate Students
Topic: Monthly updates on Student Projects.
Presenter: Dr. Jie Sheng (University of Washington, Tacoma - Institute of Technology)
Presenter: Siddharth Bhave (University of Washington, Tacoma - Institute of Technology)
Litesprite is building a mobile game platform designed to assist players who suffer from chronic conditions such as diabetes, heart disease, or general anxiety/depression. For the Robert Wood Johnson Foundation: Games to Generate Data Challenge, Litesprite built a casual game to help people, especially adult women, with anxiety/depression. Through the gameplay, a first-of-kind holistic activity log, or patient registry, is created with other important contextual metrics (i.e. time of day, location) that can help assess the underlying issues related to the player’s concerns. This information can be shared with clinicians and caregivers to help understand the player’s underlying challenges and triggers associated with managing anxiety.
Presenter: Dr Ankur Teredesai (University of Washington, Tacoma - Institute of Technology)
Presenters: Student Project Updates
Presenter: Patrick Pow (University of Washington, Tacoma - Institute of Technology)
Presenter: Dr Senjuti Basu Roy (University of Washington, Tacoma - Institute of Technology)