Profile

Sudha Ram

Professor, Computer Science | Professor, Management Information Systems | Professor, Remote Sensing / Spatial Analysis - GIDP | Professor, BIO5 Institute | Member of the Graduate Faculty

Management Information Systems

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Overview

Research

Collaboration(39)

Page 1 of 8

Grants(8)

RIDIR: Collaborative Research: A Data Science Platform and Mechanisms for Its Sustainability
2018·$450K / $1.5M·
External
Co-Investigator (COI)
data science, collaborative research, sustainability, mechanisms, platform
RIDIR: Collaborative Research: cyberSW: A Data Synthesis and Knowledge Discovery System for Long-term Interdisciplinary Research on Southwest Social Change
2017·$571.7K / $1.1M·
External
Co-Investigator (COI)
cybersw, interdisciplinary research, data synthesis, knowledge discovery, social change
Services Agreement between the Arizona Board of Regents for the University of Arizona and Universidade de Fortaleza, Brazil; project entitled I3FOR - Smart Cities.
2015·$112.5K / $224.9K·
External
Co-Investigator (COI)
service agreement, university collaboration, smart cities, international partnership, education services
Social Media Monitoring
2015·$49.9K·
External
Principal Investigator (PI)
social media, monitoring, data analysis, information technology, marketing
Indoor Environment and Stress Study - GSA 1800F Street
2014·$636.3K / $3.2M·
External
Co-Investigator (COI)
indoor environment, gsa, workplace, health

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Publications(171)

Recent

A Human-in-the-LooSegmented Mixed-Effects Modeling Method for Analyzing Wearables Data

2023

wearable technology, mixed-effects modeling, human activity analysis, data analysis, health monitoring

Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling

2023

physiological wellbeing, workplace environment, wearable devices, associative patterns, empirical bayes modeling

ROLEX: A Novel Method for Interpretable Machine Learning Using Robust Local Explanations

2022

machine learning, interpretability, local explanations, novel method, robustness

Rewarded Advertising and Mobile User Engagement: A Large-Scale Field Experiment

2022

advertising, mobile, user engagement, field experiment, rewarded

Toward NEPA Performance: A framework for assessing EIAs

2022

environmental impact assessment, framework, performance assessment, nepa compliance, environmental policy

DeeLearning of Spatiotemporal Patterns for Urban Mobility Prediction using Big Data

2021

machine learning, urban planning, big data, transportation, spatiotemporal analysis

Health care Predictive Analytics for Short Term Multiple Disease Prediction in Critical Care Overall Best Paper award)

2021

healthcare, predictive analytics, disease prediction, critical care, data science

Artificial Intelligence in Information Systems State of the Art and Research Roadmap

2021

artificial intelligence, information systems, state of the art, research roadmap, machine learning

Fool Me Twice, Shame on Me: Structural Balance Theory Based DeeLearning Model for Identifying False Information

2021

deelearning models, false information, structural balance theory, identifying, deception detection

ROLEX: A Novel Method for Interpretable Machine Learning using Robust Local Explanations,

2021

interpretable machine learning, robust local explanations, novel method, machine learning, interpretability

People

Profile

Sudha Ram

Collaboration(39)

Marc Miller

Hao Zhang

Nirav Merchant

Esther Sternberg

Michael Chertkov

Grants(8)

RIDIR: Collaborative Research: A Data Science Platform and Mechanisms for Its Sustainability

RIDIR: Collaborative Research: cyberSW: A Data Synthesis and Knowledge Discovery System for Long-term Interdisciplinary Research on Southwest Social Change

Services Agreement between the Arizona Board of Regents for the University of Arizona and Universidade de Fortaleza, Brazil; project entitled I3FOR - Smart Cities.

Social Media Monitoring

Indoor Environment and Stress Study - GSA 1800F Street

Publications(171)

A Human-in-the-LooSegmented Mixed-Effects Modeling Method for Analyzing Wearables Data

Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling

ROLEX: A Novel Method for Interpretable Machine Learning Using Robust Local Explanations

Rewarded Advertising and Mobile User Engagement: A Large-Scale Field Experiment

Toward NEPA Performance: A framework for assessing EIAs

DeeLearning of Spatiotemporal Patterns for Urban Mobility Prediction using Big Data

Health care Predictive Analytics for Short Term Multiple Disease Prediction in Critical Care Overall Best Paper award)

Artificial Intelligence in Information Systems State of the Art and Research Roadmap

Fool Me Twice, Shame on Me: Structural Balance Theory Based DeeLearning Model for Identifying False Information

ROLEX: A Novel Method for Interpretable Machine Learning using Robust Local Explanations,