Publications

Journals

Book Chapter

Conferences

  • H. Homayouni, S. N. Dabhi, S. T. Nguyen, P. P. Badlania, M. Hashemib, H. Shirazi, 2024. “Towards Comprehensive Functional Testing in ETL Processes: A Classification Framework and Empirical Validation on a Real-World Data Warehouse”, submitting as a full paper to the 24th IEEE International Conference on Software Quality, Reliability, and Security (QRS).
  • J. Tobias, H. Shirazi, M. Pourebadi, H. Homayouni, 2024. “Visual Phishing and Target Website Detection”, submitting as a short paper to the 10th ACM International Workshop on Security and Privacy Analytics (IWSPA).
  • P. Pakeeru, S. Srirag Andavilli, S. P. Janapareddi, H. Homayouni, 2024. “Anomaly Detection from Cardiovascular Data”, submitted as a short paper to the 12th IEEE International Conference on Healthcare Informatics (IEEE ICHI).
  • D. Rozenshteyn , H. Homayouni, 2024. “Gender Gap and Impact in Cardiovascular Research”, submitted as a full paper to the 12th IEEE International Conference on Healthcare Informatics (IEEE ICHI).
  • H. Homayouni, M. Pourebadi, H. Shirazi, 2024. ”Federated Multimodal Medical Data Generation”, accepted for poster presentation in the Network and Distributed System Security Symposium (NDSS).
  • A. Jnaini, H. Shirazi, H. Homayouni, 2024. “Synergy of GPT-3 Summarization and Vision-Encoder-Decoder for Chest X-ray Captioning”, submitted to the IEEE International Conference on Data Engineering (ICDE).
  • N. Salek Faramarzi, H. Shirazi, T. Harris, B. Kawnain, H. Homayouni, A. Shishodia, I. Ray, 2024. “Scientific classification of COVID-19 Tweets”, submitted as a full paper to the 17th ACM International Conference on Web Search and Data Mining.
  • E. Navaro, H. Homayouni, 2023. “Topic Modeling in Cardiovascular Research Publications”, KDD-UC.
  • S. Kaur, S. Justme, H. Homayouni 2023. “High-Resolution COVID-19 X-Ray Generator”, ACM HIKM, pp. 151–159
  • G. Maurina, H. Homayouni, I. Ray, S. Ghosh, G. P. Duggan, 2022.“A Methodology for Energy Usage Prediction in Unforeseen Circumstances”, IEEE CogMI, pp. 91-100
  • J. Cuomo, H. Homayouni, I. Ray, S. Ghosh, 2021. “Detecting Temporal Dependencies in Data”, British International Conference on Databases
  • H. Homayouni, I. Ray, S. Ghosh, S. Gondalia, 2021. “Anomaly Detection Approaches for Sequence Data: A Survey”, submiting to ACM International Conference on Information and Knowledge Management
  • E. Shin, H. Homayouni, I. Ray, S. Ghosh, S. Gondalia, J. Duggan, 2021. “Determine the Effect of COVID-19 on Energy Consumption”, submitted to IEEE CogMI
  • 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.
  • H. Homayouni, 2018. “Testing Extract-Transform-Load Process in Data Warehouse Systems”. In Doctoral Symposium section of the 29th IEEE International Symposium on Software Reliability Engineering, Memphis, USA.
  • H. Homayouni, S. Ghosh, I. Ray, 2018. “An Approach for Testing the Extract-Transform-Load Process in Data Warehouse Systems”. In 22nd International Database Engineering & Applications Symposium,  Villa San Giovanni, Italy, pp. 236–245. (Presentation file)

Presentations