Biography
Dr. Farhangi is a Principal Machine Learning Engineer with a strong focus on deploying large-scale cloud-based AI systems and deep learning models. His areas of expertise include GenAI, MLOps, Recommender Systems, and Agentic AI, delivering enterprise-scale solutions that reduce operational overhead and drive revenue growth. His extensive contributions include the development of large-scale AI solutions, US patents, and publications, as well as serving as a program committee member for AAAI.
Publications
• 2024: Adaptive Anomaly Prediction Models
PDF
BibTeX
@article{farhangi2024,
title={Adaptive Anomaly Prediction Models},
author={Farhangi, Ashkan},
journal={Dissertation},
number={23},
year={2024},
}
• 2023: AA-Forecast: Anomaly-Aware Forecast for Extreme Events
PDF
BibTeX
@article{farhangi2023aa,
title={AA-forecast: anomaly-aware forecast for extreme events},
author={Farhangi, Ashkan and Bian, Jiang and Huang, Arthur and Xiong, Haoyi and Wang, Jun and Guo, Zhishan},
journal={Data Mining and Knowledge Discovery},
volume={37},
number={3},
pages={1209--1229},
year={2023},
publisher={Springer}
}
• 2022: Protoformer: Embedding Prototypes for Transformers
PDF
BibTeX
@inproceedings{farhangi2022protoformer,
title={Protoformer: Embedding prototypes for transformers},
author={Farhangi, Ashkan and Sui, Ning and Hua, Nan and Bai, Haiyan and Huang, Arthur and Guo, Zhishan},
booktitle={Pacific-Asia Conference on Knowledge Discovery and Data Mining},
pages={447--458},
year={2022},
organization={Springer}
}
• 2022: A Novel Deep Learning Model For Hotel Demand and Revenue Prediction amid COVID-19
PDF
BibTeX
@inproceedings{farhangi2022novel,
title={A novel deep learning model for hotel demand and revenue prediction amid COVID-19},
author={Farhangi, Ashkan, Huang, Arthur, and Guo, Zhishan},
booktitle={Proceedings of the 55th Hawaii International Conference on System Sciences},
year={2022}
}
• 2022: Leveraging Data Analytics to Understand the Relationship Between Restaurants’ Safety Violations and COVID-19 Transmission
PDF
BibTeX
@article{huang2022leveraging,
title={Leveraging data analytics to understand the relationship between restaurants’ safety violations and COVID-19 transmission},
author={Huang, Arthur and de la Mora Velasco, Efr{\'e}n and Farhangi, Ashkan and Bilgihan, Anil and Jahromi, Melissa Farboudi},
journal={International Journal of Hospitality Management},
volume={104},
pages={103241},
year={2022},
publisher={Elsevier}
}
• 2019: A Deep Learning Strategy for I/O Scheduling in Storage Systems
PDF
BibTeX
@inproceedings{farhangi2019work,
title={Work-in-progress: a deep learning strategy for I/O scheduling in storage systems},
author={Farhangi, Ashkan and Bian, Jiang and Wang, Jun and Guo, Zhishan},
booktitle={2019 IEEE Real-Time Systems Symposium (RTSS)},
pages={568--571},
year={2019},
organization={IEEE}
}
US Patents
• Medical Language Model
Area
His area of expertise lies in large-scale ML systems, Large Language Models (LLMs), cloud-based AI solutions, Anomaly Prediction, NLP, and XAI.
Program Committee
He is an active program committee member for AAAI and ICONIP conferences. He also serves as a reviewer for the following conferences and journals: EMSOFT, TPDS, RTSS, RTAS, RTCSA, DAC, TNNLS, and ICIST. Please consider submitting or attending.
Principal Machine Learning Engineer
