Biography
Dr. Farhangi is currently a Principal Machine Learning Engineer at OSCE.AI 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. His extensive contributions include publications, US patents as well as serving as a program committee member for AI conferences such 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}
}
Program Committee:
I am an active program committee member for AAAI, ICONIP conferences. I am also a reviewer for the following conferences and journals: EMSOFT, TPDS, RTSS, RTAS, RTCSA, DAC, TNNLS, ICIST.
Please consider submitting or attending.
US Patents
• Medical Language Model
Adjunct Professor
University of Central Florida
EEL 4798 Massive Storage & Big Data
EEL 4781 Computer Communication Networks
Awards:
• Recipient of the “Best Research Paper” Award in Machine Learning and Predictive Analytics track for PyTorch implementation of deep learning model
• Graduate Teaching Assistant of the Year
Principal Machine Learning Engineer
