Açaí Lab @ EMU

Applied Computing and Artificial Intelligence Lab @ Eastern Michigan University

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The Açaí Lab (Applied Computing and Artificial Intelligence Lab) at Eastern Michigan University conducts research at the intersection of artificial intelligence, speech and language processing, and human-centered computing, with a focus on using AI to address real-world challenges. Our recent work spans computational analysis of healthy aging and depression detection, large language models for phishing detection, multimodal image-text learning, and speech prosody analysis. We are particularly interested in building practical and socially impactful AI systems. A core mission of the lab is mentorship and research training for both undergraduate and graduate students.

selected publications

  1. LLM Sensor Survey
    Reasoning in Signals: A Survey of Large Language Models for Sensor Data Understanding
    Ngoc Tuong Vy Nguyen and Yunting Yin
    In 2025 12th International Conference on Electrical and Electronics Engineering (ICEEE), 2025
  2. Depression Project
    Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings
    Samuel Kim, Oghenemaro Imieye, and Yunting Yin
    2025
  3. Debate Project
    Debate-Driven Multi-Agent LLMs for Phishing Email Detection
    Ngoc Tuong Vy Nguyen, Felix D Childress, and Yunting Yin
    In 2025 13th International Symposium on Digital Forensics and Security (ISDFS), 2025
  4. Matching Project
    Enhancing Image-Text Matching with Adaptive Feature Aggregation
    Zuhui Wang, Yunting Yin, and I.V. Ramakrishnan
    In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
  5. Dictionary Project
    Word Definitions from Large Language Models
    Bach Pham, JuiHsuan Wong, Samuel Kim, and 2 more authors
    In 2025 19th International Conference on Semantic Computing (ICSC), 2025
  6. Audiobook Project
    Prosody Analysis of Audiobooks
    Charuta Pethe, Bach Pham, Felix D Childress, and 2 more authors
    In 2025 19th International Conference on Semantic Computing (ICSC), 2025
  7. Vocal Aging Project
    Quantifying Healthy Aging in Older Veterans Using Computational Audio Analysis
    Yunting Yin, Douglas William Hanes, Steven Skiena, and 1 more author
    The Journals of Gerontology: Series A, Jun 2023
  8. Celebrity Project
    Inferring Age from Linguistic and Verbal Cues in Celebrity Interviews
    Yunting Yin and Steven Skiena
    In Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning, Beijing, China, Jun 2024