The University of Arizona
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Sudha Ram

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

Management Information Systems
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40+ Collaborators
$2.7M / $8.8M Funding
7+ Grants
170+ Publications
10+ News

About

Ram’s researchs enterprise data management, business intelligence and predictive analytics. She is director of both the Advanced Database Research Grouand INSITE: Center for Business Intelligence and Analytics at the Eller College. The latter seeks to harness exploding amounts of data online – including through social media – for better decision making. Among her many honors include a 2012 IBM Faculty Award. Her research has been highlighted in several media outlets including NPR news. She has received more than 50 million in research funding from several different agencies including the National Science Foundation, National Institutes of Health, and NASA. Keywords: Big Data Analytics, Chronic health Conditions, Network Science, Machine Learning, Prediction Modeling

Research Area

social media, predictive modeling, machine learning, network analysis, data analysis, healthcare, big data, data mining, predictive analytics, natural language processing, deep learning, data management, information systems, asthma, student retention, consumer behavior, health, social media analysis, transportation, urban planning, marketing, well-being, e-cigarettes, network science, data science, workplace, conceptual modeling

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    Recent

    A Reduced Modeling Approach for Making Predictions with Incomplete Data Having Blockwise Missing Patterns

    2025
    predictive modeling, data imputation, machine learning

    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

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

    2022
    advertising, mobile, user engagement, field experiment, rewarded

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

    2022
    machine learning, interpretability, local explanations, novel method, robustness

    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

    Finding a Needle in the Haystack: Recommending Online Communities on Social Media Platforms Using Network and Design Science

    2021
    social media, online communities, network analysis, design science, recommendation systems

    Intention-based DeeLearning Approach for Detecting Online Fake News BEst Paper of ICIS Award)

    2021
    fake news detection, deep learning, online misinformation, information credibility, intent analysis

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

    2021
    interpretable machine learning, robust local explanations, novel method, machine learning, interpretability

    • Nirav Merchant

    • Hao Zhang

    • Marc Miller

    • Karletta Chief

    • Diane Austin

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    • Enterprise Data Management

    • Business Intelligence

    • Big Data Analytics

    • Strategic Operations and Technology

    Sudha Ram | KMap Profile - Institutional Knowledge Map (KMap)