I build computational methods that serve social and organizational decision-making. My work sits at the intersection of NLP, machine learning, and computational social science, with applied threads in communication, safety/health, and public policy. This page complements my Projects by grouping publications and artifacts under the research lines they advance.

Themes & Questions

  • Affective meaning in digital communication
    How do people signal and interpret emotions in text-based settings, and how can models respect sociocultural context?

  • Data-driven safety & health
    When do sensors + analytics (telematics, RFID, wearables) change behavior and reduce risk?

  • Computational policy analytics
    What signals (e.g., finance vs. polls) forecast political momentum, and how stable are those relationships?

  • Expectations in socio-economic systems
    How do modeling choices about expectations affect stability/identifiability in macro-style systems?

Publications by Research Line

1) Affective Meaning & NLP for Messaging

  • Contextual Embeddings in Sociological Research: Expanding the Analysis of Sentiment and Social Dynamics.
    Sociological Methodology, 2024.
    cite
  • Adapting Online Messaging Based on Emotional State.
    UMAP ’21.
    pdf
    cite
  • How emoji and word embedding helps to unveil emotional transitions during online messaging.
    IEEE SysCon ’21.
    pdf
    cite
    code

What this line is about.
I combine transformer representations with affect control theory to better measure context-dependent emotion in chat and short text. The goal is interpretable affective signals that are useful for support agents, conversational systems, and social inquiry.

2) Safety, Sensors & Behavior Change

  • Collision Prediction and Prevention in Contact Sports Using RFID Tags and Haptic Feedback.
    AHFE Wearable & Assistive Technology, 2021.
    cite
  • Safe and Sustainable Fleet Management with Data Analytics and Training.
    Systems and Information Engineering Design Symposium (SIEDS), 2021.
    coverage
  • Preliminary feasibility of technology use in an internet-delivered intervention: Improving sleep in older adults with mild cognitive impairment.
    Alzheimer’s & Dementia (conference abstract), 2020.
    pdf
    cite

What this line is about.
From RFID+haptics for collision warnings to telematics-guided eco-driving and sleep technology feasibility, I study how analytics + design can reduce risk and support healthier behavior in the wild.

3) Computational Policy Analytics

  • A Tale of Two Metrics: Polling and Financial Contributions as a Measure of Performance.
    IEEE SysCon ’21.
    cite

What this line is about.
Using time-segmented models (e.g., joinpoint regression), I examine how fundraising and polling co-evolve in U.S. primary campaigns and what those dynamics imply for forecasting and resource allocation.

4) Expectations & Macro-Style Systems

  • Why the determinacy condition is a weak criterion in rational expectations models.
    International Conference on Business and Economics Research, 2010.

  • A predictive multi-agent approach to model systems with linear rational expectations.
    First Iranian Economic Conference, 2011.

What this line is about.
Early work on expectation formation and solution properties in macro-style systems; emphasis on stability, interpretability, and plausible micro-foundations.

Methods & Tooling (recurring)

  • NLP: contextual embeddings (BERT-family), lexicon expansion, sequence modeling for affect.
  • ML: regression/classification, clustering, time series/segmentation, evaluation with subgroup reporting.
  • Sensing & Systems: telematics analytics, RFID localization, dashboarding for training/feedback.
  • Open materials: see buttons above; additional items on request.

Impact & Collaboration (selected)

  • Mindful Driving: supported by a Jefferson Trust grant; recognized by NAFA’s Best Special Project in North America (team award); cross-unit work with operations/fleet partners.
  • Affective NLP: coauthored work acknowledges ARO W911NF1710509 support; published in a leading sociological methods venue, reflecting true interdisciplinarity.
  • Collaborations across sociology, economics, kinesiology, nursing, political science, data science, business, and engineering.

Pointers

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