Short Bio
Jie Gao received his Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, AB, in 2014, supervised by Prof. Sergiy Vorobyov (IEEE Fellow) and Prof. Hai Jiang (IEEE Fellow). He was an NSERC postdoctoral fellow with Toronto Metropolitan University, Toronto, ON, from 2017 to 2019, supervised by Prof. Lian Zhao (IEEE Fellow), a research associate with the University of Waterloo, Waterloo, ON, from 2019 to 2020, supervised by Prof. Xuemin (Sherman) Shen (Fellow of IEEE, RSC, CAE and EIC) and Prof. Weihua Zhuang (Fellow of IEEE, RSC, CAE and EIC), and an assistant professor with the Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI, USA, from 2020 to 2022. In July 2022, he joined the School of Information Technology, Carleton University, Ottawa, ON. Dr. Gao’s research interests include machine learning for communications and networking, cloud and multi-access edge computing, Internet of Things (IoT) and industrial IoT solutions, and next-generation (6G) wireless networks in general.
Dr. Gao is a cross-appointed faculty with the Departmemt of Systems and Computer Engineering, Carleton University, since 2025 and an adjunct faculty with the Faculty of Computer Science at Dalhousie University since 2024.
Professional Membership
- Senior Member, IEEE
- Member, IEEE Communication Society
- Member, IEEE Vehicular Technology Society
- Member, IEEE Sensors Council
Awards and Honors
- IEEE VTS OJVT Best Paper Award 2025
- IEEE Best Land Transportation Paper Award 2024
- IEEE Outstanding Service Award 2024
- IEEE Open Journal of the Communications Society Best Editor Award 2024
- Early-Stage Investigator Grant Award - Wisconsin Space Grant Consortium 2021
- IEEE Transactions on Vehicular Technology Top Reviewer Award 2018
Open Positions
Graduate positions: I am looking for highly motivated graduate students. Current priority topics include (but are not limited to)
- Advanced AI for networking (GenAI methods, AI agent and multiagent learning)
- Emerging communication and networking techonlogies (quantum networking)
For details on my research, see here
Preference:
- Ph.D. applicants with a thesis-based master's degree and a first-authored publication at a creditable venue
- Electrical engineering/computer engineering/computer science/math/physics background
- Solid analytical and mathematical skills
- Knowledge and experience with machine learning
If interested, please send the following documents to jie.gao6@carleton.ca
- Your CV
- Transcripts from your undergraduate and graduate (if applicable) programs
- A sample publication (if applicable)
Undergraduate positions: Undergraduate research assitant positions are available from time to time. Please email me if interested.
News
- [Jan. 23, 2026]: Mir Md. Saym successfully defended his master's thesis. Congratulations to Mir!
- [Jan. 19, 2026]: Our paper "Utilizing Meta-Learning to Enhance the Transferability of GAN-Based Adversarial Traffic Generation," has been accepted by the IEEE ICC 2026!
- [Sept. 3, 2025]: Linqing (Lincoln) Zhai joined our team as a Ph.D. student - Welcome, Linqing!
- [Sept. 3, 2025]: Karpakamurthy Muthukumar joined our team as a Ph.D. student - Welcome, Karpakamurthy!
- [Sept. 3, 2025]: Zeng Hao joined our team as a master's student - Welcome, Zeng!
- [Sept. 3, 2025]: Dawson Berry joined our team as a master's student - Welcome, Dawson!
- [Aug. 18, 2025]: I started co-supervising Jean Yves Mpessa Ndedi (MASc student in NET) with Prof. Thomas Kunz. Welcome, Jean Yves!
- [Aug. 11, 2025]: I started co-supervising Cosmas Mwaba (MASc student in ECE) with Prof. Halim Yanikomeroglu. Welcome, Cosmas!