Peng Hu has years of R&D experience and has worked as a Research Officer at the National Research Council Canada (NRC). He is an Associate Professor at the Department of Electrical and Computer Engineering, University of Manitoba, Canada. He is also an Adjunct Professor at the Cheriton School of Computer Science, University of Waterloo, Canada.
Dr. Hu obtained his Ph.D. in Electrical Engineering from Queen's University, Canada. He is a licensed Professional Engineer in Ontario, Canada, and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He serves as Associate Editor of the IEEE Open Journal of the Communications Society and Co-Chair of the Technology & Applications Working Group of the IEEE LEO Satellites & Systems Project. He has mentored/supervised 20+ students and research fellows at a high equity, diversity, and inclusion standard. He has served as a PI/Co-PI of various research projects regarding AI/ML-enabled network systems, satellite networks, and the Internet of Things (IoT) supported by public funding sources, such as the Natural Sciences and Engineering Research Council of Canada (NSERC), NRC, the Optical SatCom Consortium, Ontario Centre of Innovation (formerly OCE), and Canada Foundation for Innovation (CFI). He has served as an Associate Editor for the IEEE Canadian Journal of Electrical and Computer Engineering, a member of the review committee of Canada's innovation and challenge programs, a reviewer for top research publications and conferences, and a voting member of the IEEE Sensors Council Standards committee, a technology advisor/member of the well-known IoT industry consortia, and an organizing committee/TPC member of international conferences/workshops, including IEEE GLOBECOM'23, IEEE ICC'23, ACM COMPASS'23, IEEE SysCon'22&23, IEEE GLOBECOM'21, IEEE PIMRC'17, and IEEE AINA'15.
His current research interests include:
Emerging Networked Systems: Protocols, Architecture, Management, Security, Resilience and Sustainability for LEO Satellite Networks, Space-Air-Ground Integrated Networks, Non-Terrestrial Networks, Beyond 5G/6G, etc.
Applied AI/Machine Learning: Autonomous Networking, Embedded AI, Edge Computing
Networked Systems & Applications for Real-World and Societal Challenges: Digital Divide, Community Networks, Public Safety, Smart Transportation/City/Agriculture/Aquaculture, Climate Action, Industry 4.0, Industrial IoT, etc.
A warm welcome to my student Vincent to be on board!
I am so glad to give a keynote at the IEEE PIMRC 2023 Special Session on "The Role of Non-terrestrial Networks on 6G Communications: State-of-the-Art and Challenges" on September 6th, 2023.
Our previous research on ML for satellite anomaly detection has been reported by the University of Waterloo News!
I will be delighted to serve as the Satellite & Space Communications SAC Co-Chair at IEEE GLOBECOM 2024, 8-12 December 2024, Cape Town!
I am pleased to serve as the TPC member for the Satellite & Space Communications track, at the IEEE ComSoc's flagship conference - IEEE International Conference on Communications (ICC), 9-13 June 2024, Denver, USA.
I am pleased to be a speaker and panelist at the IEEE PIMRC 2023 special session on "The Role of Non-terrestrial Networks on 6G Communications: State-of-the-Art and Challenges", taking place 5–8 September 2023, Toronto, Canada!
Our paper titled "HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach" was accepted by the IEEE Open Journal of the Communications Society!
I am glad to be awarded the NRC's Inventor Fixed Milestone Awards three years in a row from 2021 to 2023!
Our paper titled "Multivariate Variance-Based Genetic Ensemble Learning for Satellite Anomaly Detection" was accepted by the IEEE Transactions on Vehicular Technology!
A warm welcome to Albert Ding joining the team as a graduate co-op student from the U. Waterloo!
I am very glad to serve as the Associate Editor for the IEEE Open Journal of the Communications Society!
I will gladly serve as the Session Chair of the Next Generation Satellite Communications session in the Satellite & Space Communications track at IEEE ICC 2023!
Our paper titled "Routing Heterogeneous Traffic in Delay-Tolerant Satellite Networks" was published in the IEEE Journal of Radio Frequency Identification!
I am delighted to serve as the Session Chair of EMT15: Satellite Communications at IEEE WCNC 2023 in Glasgow, UK!
I am glad to serve as the TPC member for the IEEE GLOBECOM 2023 e-Health track!
Our paper titled "Broadband Connectivity for Handheld Devices via LEO Satellites: Is Distributed Massive MIMO the Answer?" was accepted by the IEEE Open Journal of the Communications Society!
I am delighted to serve as the Virtual Conference Co-Chair of ACM COMPASS 2023 - Computing and Sustainable Societies, August 16-19, 2023, Cape Town, South Africa!
Our paper titled "Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks" was accepted by IEEE ICC 2023, the IEEE ComSoc's flagship conference!
My paper titled "SatAIOps: Revamping the Full Life-Cycle Satellite Network Operations" was accepted by a top-ranked conference in network management, IEEE NOMS 2023 in its 36th edition!
Our two papers titled "A Cross-Layer Descent Approach for Resilient Network Operations of Proliferated LEO Satellites" and "Laser Inter-Satellite Link Setup Delay: Quantification, Impact, and Tolerable Value" were accepted by the IEEE WCNC 2023, one of the premier annual events of IEEE in the wireless research!
My paper titled "Enabling Resilient and Real-Time Network Operations in Space: A Novel Multi-Layer Satellite Networking Scheme" was accepted by IEEE LATINCOM 2022, the most important conference in communications in Latin America!
I currently have positions for graduate students:
Summer 2024*/Fall 2024/Winter 2025 intake: Ph.D. and Master's students, Dept. of Electrical and Computer Engineering, University of Manitoba.
(*[Nov 15th]: For Summer 2024 applicants, we can still accept students but please contact me soon if you are interested.)
Fall 2024 intake: One Master's student (MMath in CS), Cheriton School of Computer Science, University of Waterloo.
Interested students are encouraged to contact me directly with (1) a CV (including educational background, research/industry experience, and publications if applicable), (2) a cover letter (stating your research interests and experience), and (3) copies of transcripts. Please understand that only students who can be a good fit will be contacted.
Suitable Background of Prospective Students
Students are generally expected to have self-motivated problem-solving skills and a commitment to a high standard of ethics (please see IEEE Code of Ethics and ACM Code of Ethics). In addition to the University graduate program's requirements, students are not required to have domain knowledge of specific research projects but are expected to have a relevant background in engineering/science fields with good experience in the areas of (1) networking, (2) embedded/accelerator systems, (3) ML or computer vision with data analytics and programming skills (in C/C++ and Python), or (4) optimization. Experience in multiple areas with practical experience is considered an asset.
I strive to offer successful training with a solid commitment to equity, diversity, and inclusion (EDI) to students and access to advanced platforms for studies and academic/industry jobs. Students will have opportunities to be supported to publish, attend well-ranked academic events, and interact with leading research/industry communities.
With a commitment to a high standard of EDI for mentorship, Prof. Hu's team, including students and research fellows, is encouraged to get EDI training from the University's Equity Office and NSERC. EDI resources will be introduced to students at the pre-research discussion.
[Sep. 2023] "Using machine learning to close Canada’s digital divide Researchers: use AI to detect potential problems with satellites before they happen", University of Waterloo news.
[Dec. 2022] Internet Society's Fellowship Symposium presentation: "Rights and Responsibilities of Internet Service Providers and Platforms: A Study of Surveillance, Resilience, and Digital Content." https://www.linkedin.com/posts/internet-society_meet-more-of-our-2022-mid-career-fellows-activity-6986767256634478592-zD8A/?originalSubdomain=ug
[Dec. 2022] Waterloo and NRC celebrate the opening of innovation hub: https://uwaterloo.ca/research/news/waterloo-and-nrc-celebrate-opening-innovation-hub
[Dec. 2021] Waterloo and NRC reaffirm partnership on future-facing technology: https://uwaterloo.ca/news/university-relations/waterloo-and-nrc-reaffirm-partnership-future-facing
[Nov. 2020] Waterloo Mathematics: using ML technologies to improve internet access for remote & rural communities in Canada... https://twitter.com/waterloomath/status/1332018788707942402
[Aug. 2018] Carleton University: Talk by Prof. Peng Hu – From Industrial Wireless Sensor Networks to Industrial Internet of Things: Some Network Architectural Challenges: https://carleton.ca/internetofthings/cu-events/from-industrial-wireless-sensor-networks-to-industrial-internet-of-things-some-network-architectural-challenges/
[Nov. 2015] Wireless Technology Feature: Managing risk in the nuclear industry. Canadian Electronics. 2015.
Prof. Hu has active research programs/projects about IoT and network systems. He has accomplished research projects including IoT, satellite networks, AI/ML-enabled network systems, and cybersecurity, embedded and sensors systems in collaboration with academic and industry partners. More info
Last edited: Oct 15, 2022