Projects

Synthetic Data Generation

S., H. Homayouni, “Model Compression for Transformer Models in Synthetic Tabular Data Generation”, 2024. CS-577: Principles and Techniques of Data Science.

CS577 Final Poster-2Download
  • A. Jnaini, H. Shirazi, H. Homayouni, 2024. “Synergy of GPT-3 Summarization and Vision-Encoder-Decoder for Chest X-ray Captioning”,  IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).
  • H. Homayouni, M. Pourebadi, H. Shirazi, 2024. ”Poster: Federated Multimodal Medical Data Generation”, in the Network and Distributed System Security Symposium (NDSS).
  • S. Kaur, S. Justme, H. Homayouni 2023. “High-Resolution COVID-19 X-Ray Generator”, ACM HIKM, pp. 151–159.

Anomaly Detection and Explanation

  • H. Homayouni, H. Aghayarzadeh, I. Ray, and H. Shirazi, “Anomaly Detection and Interpretation from Tabular Data Using Transformer Architecture,” in the International Conference on Data Mining Workshops (ICDM-W), 2024.
  • H. Homayouni, T. Kantilal Gada, H. Shirazi, S. Mehrotra, S. Ghosh, I. Ray, 2024. “Anomaly Detection in Time Series Data: A Comparative Evaluation of Methods”, submitted to ACM JDIQ.
  • H. Homayouni, I. Ray, S. Ghosh, S. Gondalia, M. Kahn, 2021. “Anomaly Detection in COVID-19 Time-Series Data”, SN Computer Science, 2(4), pp.1-17.
  • H. Homayouni, S. Ghosh, I. Ray, M. G. Kahn, 2021. “ADQuaTe2: A Data Quality Test Approach for Fault Detection and Explanation in Big Data”, submitted to The ACM Journal of Data and Information Quality.
  • H. Homayouni, S. Ghosh, I. Ray, S. Gondalia, J. Duggan, M. Kahn, 2020. “An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data”, IEEE Big Data at the Special Session: Machine Learning on Big Data, pp. 5068-5077
  • Homayouni, S. Ghosh, I. Ray, M. Kahn, 2019. “An Interactive Data Quality Test Approach for Constraint Discovery and Fault Detection”, IEEE Big Data, pp. 200–205.
  • H. Homayouni, S. Ghosh, I. Ray, 2019. “ADQuaTe: An Automated Data Quality Test Approach for Constraint Discovery and Fault Detection”, In IEEE 20th International Conference on Information Reuse and Integration for Data Science.

Cardiovascular Research Analysis