Fei Dou is an Assistant Professor in the School of Computing at the University of Georgia. She obtained her Ph.D. degree from the Department of Computer Science and Engineering at the University of Connecticut in
Laboratory of Machine Learning & Health Informatics, working on
Machine Learning (ML) / Artificial Intelligence (AI) in the Internet of Things (IoT) / Cyber-Physical Systems (CPS)
supervised by Prof. Jinbo Bi. Previously, she was working on Underwater Acoustic Sensor Networks
(UWASN) in Tianjin University supervised by Prof. Zhigang Jin.
Fei's research centers on developing new methodologies in AI/ML to enhance the Efficiency,
Privacy, and Scalability of the IoT/CPS. Specifically, Fei is mainly working on Location-based Services (LBS),
Edge Computing, and Remote Sensing Imagery Analysis by developing new methods from the perspectives of Reinforcement Learning,
Federated Learning, and Contrastive Learning. Fei's investigations encompass various IoT domains, including location-based services, natural disaster damage detection, intelligent agriculture, recommender systems, and wireless sensor networks.
Fei’s work has been published in highly-selective and high-impact conferences and journals such as NeurIPS, IJCAI, UbiComp/IMWUT, IEEE IOT-J, and she has served as a reviewer at top-notch
conferences and journals including NeurIPS, ICLR, AAAI, IJCAI, ECAI, IEEE IOT-J, Neurocomputing, Sensors, etc.
Fei's research lies in analyzing and resolving challenges associated with Machine Intelligence of Ubiquitous
Computing in Distributed Systems, including:
- inefficiency and low scalability of trained models, especially when the
solution space is large;
- security and privacy concerns of user data;
- data heterogeneity across devices and imbalanced
data distribution on individual devices;
- communication bottlenecks and high computational costs in distributed systems.
The goal is to foster interdisciplinary research and offer opportunities for introducing transformative technologies to enable
new real-life products and services.
Recruiting: Looking for highly-motivated Ph.D. students to join my group! If you are interested in working on machine learning/deep learning/reinforcement learning/federated learning/contrastive learning, please send me an email with your CV and transcript @ fei dot dou AT uga dot edu.