Biography

Huaiyu Dai received the B.E. and M.S. degrees from Tsinghua University, Beijing, China, in 1996 and 1998, respectively, and the Ph.D. degree from Princeton University, Princeton, NJ in 2002, all in Electrical Engineering.

He has been with NC State University since 2003, now holding the position of Professor and the title of University Faculty Scholar. His research interests include signal processing for communications and networking, network security, and machine learning, with over 280 peer-reviewed journal/conference papers published.

He has served as an Area Editor for IEEE Transactions on Communications, a member of the Executive Editorial Committee for IEEE Transactions on Wireless Communications (TWC), and an Editor for IEEE Transactions on Signal Processing. Currently he serves as an Area Editor for TWC. He has been an Area TPC Chair for IEEE International Conference on Computer Communications (INFOCOM) for 7 years. Previously, he served as a symposium Co-Chair multiple times for IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), IEEE International Conference on Communications (ICC), and IEEE Global Communications Conference (GLOBECOM). He received Qualcomm Faculty Award, and several best paper awards at IEEE MASS, ICC, and INFOCOM BIGSECURITY Workshop. He is a Fellow of IEEE and Asia-Pacific Artificial Intelligence Association.

Education

  • Ph.D. 2002
    Electrical Engineering
    Princeton University, NJ
  • Master's 1998
    Electrical Engineering
    Tsinghua University, Beijing
  • Bachelor's 1996
    Electrical Engineering
    Tsinghua University, Beijing

Expert In

Security , Machine Learning , Generative AI

Involvement

  • National Science Foundation
    Program Director

Highlighted Awards

Awards & Honors

  • 2025 - Editor in Chief, IEEE Transactions of Signal and Information Processing over Networks
  • 2024 - IEEE Communications Society William R. Bennett Prize (Best Paper Award, IEEE/ACM Transactions on Networking)
  • 2022 - Area Editor, IEEE Transactions on Wireless Communications
  • 2021 - Asia-Pacific Artificial Intelligence Association (AAIA) Fellow
  • 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

AI Researchers Tackle Longstanding ‘Data Heterogeneity’ Problem for Federated Learning

Posted on July 15, 2022 | Filed Under: AI/ML and News

NC State ECE researchers have developed a new approach to federated learning that allows them to develop accurate artificial intelligence (AI) models more quickly and accurately.

NC State ECE Faculty Members Ranked as Top Electronics and Electrical Engineers in United States

Posted on March 3, 2022 | Filed Under: News

Fourteen ECE faculty members have been ranked as the Top Electronics and Electrical Engineering Scientists in the United States.

photo shows persons hands holding a smartphone
Technique Smooths Path for ‘Federated Learning’ AI Training in Wireless Devices

Posted on February 1, 2022 | Filed Under: AI/ML and News

A new federated learning technique from ECE researchers drastically reduces the size of data transmissions, creating new opportunities for wireless AI training.

 

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