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Chaspari, Theodora

Associate Professor

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Research Areas research areas

Research

research overview

  • My research aims to make fundamental algorithmic contributions to human-centered machine intelligence (ML) and to promote scientific advancement in trustworthy artificial intelligence (AI) and address pressing challenges related to trustworthy and responsible AI, including privacy-preservation, explainability, and fairness. To ensure sustainable human-AI teaming, I further investigate fundamental challenges in AI-based decision-making and examine factors of trust that support effective decision-making between humans and AI systems. This endeavor highly draws from interdisciplinary collaborations in health sciences, social sciences, and learning sciences, and leads to interdisciplinary scientific contributions.

keywords

  • Affective computing, health analytics, human-computer interaction, trustworthy AI

Publications

selected publications

Teaching

courses taught

  • CSCI 4950 - Senior Thesis
    Primary Instructor - Fall 2024
    Provides an opportunity for senior computer science majors to conduct exploratory research in computer science as an option for the capstone requirement. Department enforced prerequisites: 35 hours of Computer Science coursework including Foundation courses, Upper-Division writing, CS GPA 3.0. Department consent required, contact academic advisor for details. May be repeated up to 8 total credit hours.
  • CSCI 5622 - Machine Learning
    Primary Instructor - Spring 2024 / Fall 2024
    Trains students to build computer systems that learn from experience. Includes the three main subfields: supervised learning, reinforcement learning and unsupervised learning. Emphasizes practical and theoretical understanding of the most widely used algorithms (neural networks, decision trees, support vector machines, Q-learning). Covers connections to data mining and statistical modeling. A strong foundation in probability, statistics, multivariate calculus, and linear algebra is highly recommended.
  • CSCI 6402 - Issues and Methods in Cognitive Science
    Primary Instructor - Fall 2023
    Interdisciplinary introduction to cognitive science, examining ideas from cognitive psychology, philosophy, education, and linguistics via computational modeling and psychological experimentation. Includes philosophy of mind; learning; categorization; vision and mental imagery; consciousness; problem solving; decision making, and game-theory; language processing; connectionism. No background in Computer Science will be presumed. Same as EDUC 6504 and LING 6200 and PHIL 6310 and PSYC 6200 and SLHS 6402.
  • CSCI 6950 - Master's Thesis
    Primary Instructor - Spring 2024 / Fall 2024
  • LING 6200 - Issues and Methods in Cognitive Science
    Primary Instructor - Fall 2023
    Interdisciplinary introduction to cognitive science, examining ideas from cognitive psychology, philosophy, education, and linguistics via computational modeling and psychological experimentation. Includes philosophy of mind; learning; categorization; vision and mental imagery; consciousness; problem solving; decision making, and game-theory; language processing; connectionism. No background in computer science will be presumed. Recommended prerequisite: at least one course at the 3000-level or higher in CSCI, LING, PHIL, or PSYC. Same as CSCI 6402 and EDUC 6504 and PHIL 6310 and PSYC 6200 and SLHS 6402.
    • ... more

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