Data Science Consortium 2019

October 25, 12:00 PM - October 26, 2019, 2:00 PM

Attendees

SedanSpot: Detecting Anomalies in Edge Streams

Dhivya Eswaran, Computer Science, Carnegie Mellon University

Graph Agreement Models for Semi-Supervised Learning

Otilia Stretcu, Machine Learning, Carnegie Mellon University

Application of a Contour Theory Method to Load Profiling in a Power Utility

William Dula, Mathematical Sciences, Clark Atlanta University

Exercise as Medicine: Can Exercise Behavior Predict Endometriosis Disease Symptom Severity?

Ipek Ensar, Data Science Institute, Columbia University

Everyday Mobility Behaviors Predict Psychological Well-Being Among Young Adults

Sandrine Muller, Data Science Institute, Columbia University

Robust Estimation and Classification for Brain-Computer Interfaces

Marko Angjelichinoski, Electrical and Computer Engineering, Duke University

Density Estimation on Manifolds with Fisher-Gaussian Kernels

Didong Li, Mathematics, Duke University

Foundational Issues in Computational Evolutionary Biology and Political Science

Robert Ravier, Electrical Engineering, Duke University

Probabilistic Models on Fibre Bundles

Shan Shan, Mathematics, Duke University

Predicting Microbe-microbe Interactions from Time Series Metagenomic Data

Daniel Ruiz-Perez, Computing and Information Sciences, Florida International University

Distributed Decision Making on Multi-Agent Systems

Thinh Doan, Electrical and Computer Engineering & Industrial and Systems Engineering, Georgia Institute of Technology

A Deep Learning Approach to Galaxy Cluster X-ray Masses

Michelle Ntampaka, Harvard Data Science Initiative, Harvard University

Making Sense of Scientific Systems

Dakota Murray, Informatics, Indiana University Bloomington

Being Aware Helps: How Mindfulness and Data Analytics Benefit Students and an Educational NPO

Lanmiao He, Psychology, Iowa State University

Face2Face: Facial Expression Transfer

Gianina Alin Negoita, Animal Science, Iowa State University

Learning Structure from Unstructured Data

Tuhin Sarkar, Electrical Engineering, Massachusetts Institute of Technology

Wiki-Atlas: Rendering Wikipedia Content through Cartographic and Augmented Reality Mediums

Anastasios Noulas, Center for Data Science, New York University

Towards Solving Breast Cancer Screening Diagnosis with Deep Learning

Nan Wu, Center for Data Science, New York University

Flood Extent Mapping using Unmanned Aerial Vehicle Imagery

Asmamaw Gebrehiwot, Applied Science and Technology, North Carolina A&T State University

Reconstructing Commuters Network Using Machine Learning and Urban Indicators

Luiz G. A. Alves, Chemical & Biological Engineering, Northwestern University

Quantifying Dynamics of Failure Across Science, Startups, and Security

Yian Yin, Industrial Engineering and Management Science, Northwestern University

Attention-based Multi-Source Representation Learning

Lige Gan, Computer Science and Engineering, Oakland University

Interpretable and Context Based Neural Network Modeling of Histology Images

Arunima Srivastava, Computer Science and Engineering, The Ohio State University

Statistical Downscaling of Climate Models using self-organizing maps

Andrew Polasky, Meteorology and Atmospheric Science, Penn State

Relational Representation Learning Incorporating Textual Communication for Social Networks

Yi-Yu Lai, Computer Science, Purdue University

Bayesian Functional Regression on Manifold via Spherical Wavelets

Ye Emma Zohner, Statistics, Rice University

Large-scale Combinatorial Optimization for Data Summarization and Resource-efficient Machine Learning

Baharan Mirzasoleiman, Computer Science, Stanford University

Operationalizing Conflict and Cooperation Between Automated Software Agents in Wikipedia: A Replication, Refutation, and Expansion of ‘Even Good Bots Fight

Stuart Geiger, Berkeley Institute for Data Science, UC-Berkeley

Improving Performance and Quality of Database-Backed Software

Yang Junwen, Computer Science, University of Chicago

Nonparametric Interaction Selection for Additive Model

Yushen Dong, Mathematics, Statistics, and Computer Science, University of Illinois at Chicago

Diagnosis Of Type II Diabetes Using Machine Learning Techniques

Oluwagbemiga Ajayi, Information Systems, University of Maryland Baltimore County

Two Layer Clustering Analysis of Student Migration from Twitter Posts

Ronak Razavisousan, Information Systems, University of Maryland Baltimore County

Developing an Optimized Decision Support Framework for Sustainable Field-scale Assessment by Integrating ACPF, PTMApp, and HSPF-SAM

Srinivas Rallapalli, Bioproducts and Biosystems Engineering, University of Minnesota

Data Science Methods and Climate Change Ecology: A Scientific Imperative

Tony Cannistra, Biology, University of Washington

Using Microorganisms to Solve Macro Problems: Untangling the Genetic Circuitry of Methane-eating Bacteria

Erin Wilson, Computer Science and Engineering, University of Washington

Active Learning in the Overparameterized and Interpolating Regime

Mina Karzand, Wisconsin Institute for Discovery, UW Madison

Dynamic Resource Allocation for Coordination of Inpatient Operations in Hospitals

Najibesadat Sadati, Industrial and Systems Engineering, Wayne State University