Introduction

The overarching goal of the Data Science and Applications (DSA) lab at Utah State University is to devise novel, efficient, and practical solutions to enhance the social impact of data science. The lab focuses on multiple research areas, including Social Media Mining, Educational Data Mining, and Cross-Disciplinary Applications of Data Science in Science and Engineering fields. By leveraging advanced data mining techniques and machine learning algorithms, the lab aims to extract valuable insights from large and complex datasets across various domains. The research conducted in the lab not only contributes to the fundamental understanding of data-driven decision-making processes but also fosters interdisciplinary collaboration with researchers from diverse STEM fields. Guided by a commitment to innovation and excellence, the Data Science and Applications Lab at USU strives to shape the future of data science and its impact on society.

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Research Areas and Projects

  • Social Media Mining
  • Educational Data Mining
  • Graph Mining
  • Machine Learning
  • Data Mining
  • Learn more

Recent News

  • Apr 2024. M. Fawad Akbar Khan received "Outstanding Teaching Assistant Award" of the Department of Comuter Science. (Congrats to Fawad).

  • Apr 2024. Two papers accepted to Educational Data Mining 2024. Congrats to Fawad, Soha, Aswani and Max.

  • Nov 2023. Aswani Yaramala successfully defended her master's thesis (Congrats to Aswani).

  • Nov 2023. Two papers got accepted to IEEE Big Data 2023 (Congrats to Fawad).

  • Sep 2023. Dr. Karimi (sole PI) received funding from NSF ($349,847.00). Learning Analytics for Process-driven Computer Programming Assignments

  • Aug 2023. Dr. Karimi (co-PI) received funding from NSF ($373,508.00). Collaborative Research: BPE Track 2: Disability DCL - Capturing Narratives that Characterize Neurodivergent Strengths and Weaknesses

  • July 2023. One paper (lead by Soheila Farokhi) got accepted to The 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2023 Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning

  • Apr 2023. One paper got accepted to 2023 American Society for Engineering Education (ASEE) Annual Conference and Exposition Mining 2023. Leveraging Social Media Analytics in Engineering Education Research

  • Apr 2023. One paper got accepted to Educational Data Mining 2023. An Analysis of Diffusion of Teacher-curated Resources on Pinterest

  • Feb 2023. Dr. Karimi's interview with AggieTVNews, a local "TV" at Utah State University about ChatGPT

  • Dec 2022. Dr. Karimi received International Faculty Recognition Award at Utah State University

  • Dec 2022. One paper accepted to IEEE Big Data 2022. Teachers in Social Media: A Gender-aware Behavior Analysis

  • Sep 2022. One paper accepted to DSSA 2022. Enhancing Individual Fairness through Propensity Score Matching

  • Sep 2022. One paper accepted to ICMLA 2022. Decision Boundaries of Deep Neural Networks

  • Sep 2022. One paper accepted to ICMLA 2022. A New Framework to Assess the Individual Fairness of Probabilistic Classifiers

  • Sep 2022. One paper accepted to DSSA 2022. Enhancing Individual Fairness through Propensity Score Matching

  • May 2022. One paper accepted to Intermountain Engineering, Technology and Computing (IETC) 2022. Temporal Abstract Syntax Trees for Understanding Student Coding Thought Process

  • May 2022. Dr. Karimi received funding from Utah Extension Water Initiative (Utah State University). Predicting Snowpack and Snowmelt to Optimize Water Resource Management in Utah

  • May 2022. Dr. Karimi received funding from United States Geological Survey (USGS). Developing High-Resolution Seasonal Snow Forecasts for Utah's Watersheds

  • Dec 2021. Dr. Karimi received funding from the Bill & Melinda Gates Foundation. A Smart Toolkit for Knowledge Brokers to Visualize Social Opportunity Spaces