Huaiyu Dai
Education
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Ph.D.
2002
Electrical Engineering
Princeton University, NJ -
Master's
1998
Electrical Engineering
Tsinghua University, Beijing
Research Focus
Funded Research
- An Innovative Secure Millimeter Wave (mmWave) Machine to Machine (M2M) Communication Network for Operating Drones
- SpecEES: Efficient Monitoring and Spectrum Utilization of Multi-Layer Wireless Networks
- Understanding and Accelerating Information Spreading in Dynamic Networks. ARO Research Area 10: Network Science – 10.1 Communication and Human Networks
- EARS: Intelligent and Cross-Layer Attack and Defense in Spectrum Sharing
Highlighted Awards
- University Faculty Scholars (2018)
Awards & Honors
- 2019 - Qualcomm Faculty Award
- 2018 - University Faculty Scholar
- 2017 - Best Paper Award, IEEE ICC
- 2017 - Executive Editorial Committee Member, IEEE Transactions on Wireless Communications
- 2017 - IEEE Fellow
- 2016 - Best Paper Award, IEEE INFOCOM BIGSECURITY Workshop
- 2015 - Area Editor, IEEE Transactions on Communications
- 2010 - Best Paper Award, IEEE MASS
Recent News
Dai and Franzon win 2019 Qualcomm Faculty Award
Posted on July 22, 2019 | Filed Under: Awards
Dr. Huaiyu Dai and Dr. Paul Franzon have been awarded 2019 Qualcomm Faculty Awards for research that is inspirational to graduate students and serves to spark new approaches in key technology areas.
Dai named as University Faculty Scholar
Posted on March 21, 2018 | Filed Under: Faculty
NC State’s 2017-2018 class of University Faculty Scholars including Dr. Huaiyu Dai, professor of electrical and computer engineering, represent early- and mid-career faculty dedicated to serving the university community and their respective …
Dai Seeks Solution to National Wireless Security Needs
Posted on October 8, 2014 | Filed Under: News
Dr. Huaiyu Dai and Dr. Peng Ning have been awarded $479,993 by the National Science Foundation (NSF) for research on “Intelligent and Cross-Layer Attack and Defense in Spectrum Sharing” to address this need.
Recent Publications
- Accelerating Generalized Benders Decomposition for Wireless Resource Allocation (2021)
- Distributed ADMM With Synergetic Communication and Computation (2021)
- Energy-Aware Stochastic UAV-Assisted Surveillance (2021)
- Interference Analysis and Mitigation for Aerial IoT Considering 3D Antenna Patterns (2021)
- Minimizing the Age of Information in the Presence of Location Privacy-Aware Mobile Agents (2021)
- Physical Layer Security for NOMA Transmission in mmWave Drone Networks (2021)
- Reinforcement Learning-Based Physical-Layer Authentication for Controller Area Networks (2021)
- UAV-Aided Data Collection for Information Freshness in Wireless Sensor Networks (2021)
- Allocation of Computation-Intensive Graph Jobs Over Vehicular Clouds in IoV (2020)
- From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks (2020)