Mr. Haoming Wang is currently pursuing a Master of Philosophy (MPhil) in Telecommunications at the University of New South Wales (UNSW), Australia. His research and professional activities are centered around WiFi sensing technologies, CSI-based gesture recognition, and RFID applications. Haoming is an emerging researcher and academic mentor with hands-on experience in experimental design, wireless communication systems, and engineering education.
Professional Profile
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Master of Philosophy (Telecommunication)
University of New South Wales (UNSW), Australia | June 2023
Bachelor of Engineering (Hons) in Electrical Engineering
UNSW, Australia | Feb 2019 – May 2023
Professional Experience
Haoming is actively involved in both academic and industry-aligned roles. He serves as an Examination Supervisor, Marker, and Lab Demonstrator at UNSW, contributing to courses such as ELEC1111, ELEC2134, ELEC4632, and TELE9753. He has completed an electrical engineering internship with OZ Design Build and worked in customer service roles emphasizing problem-solving and client satisfaction.
Additionally, Haoming has a strong volunteer record, having mentored FIRST Robotics teams, coordinated workshops with Robogals, and supported campus-wide health and language development programs. He’s been a consistent ambassador of engineering outreach, leadership, and community engagement.
Research Interest
Channel State Information (CSI) in Wireless Channels
Keystroke and Motion Recognition via WiFi Sensing
RFID-based Passive User Profiling
Bandwidth-efficient Interference Injection for Privacy Protection
Deep Learning Applications in Wireless Sensing
Smart Occupancy Detection Systems
Wireless System Modeling and Spatial Resolution Analysis
Publications Top Noted
1. Keystroke Recognition using WiFi Sensing: An Empirical Study on Robustness
Authors: H. Wang, A. Sharma, D. Mishra, A. Seneviratne, E. Ambikairajah
Conference: IEEE Globecom Workshops (GC Wkshps)
Pages: 1123–1128
Year: 2023
Citations: 2
Highlights:
Investigates practical keystroke recognition using WiFi CSI (Channel State Information)
Evaluates robustness under varied environmental conditions
Presents signal processing techniques for real-time applications
2. Empirical Investigation on Practical Robustness of Keystroke Recognition Using WiFi Sensing for Future IoT Applications
Authors: H. Wang, A. Sharma, D. Mishra, A. Seneviratne, E. Ambikairajah
Journal: Future Internet, Volume 17, Issue 7, Article 288
Year: 2025
Highlights:
Continuation and expansion of 2023 IEEE Globecom study
Compares keystroke sensing performance across devices and spatial setups
Discusses implications for secure authentication and behavioral biometrics
3. Passive User Profiling Using Array of Sustainable Backscatter Tags
Authors: H. Wang, H. Lai, A.C.Y. Goay, D. Mishra, A. Seneviratne, E. Ambikairajah
Journal: IEEE Communications Letters
Year: 2025
Highlights:
Explores non-invasive user identification using passive RF backscatter
Sustainable IoT sensing without active power sources
Applicable to smart environments and human-device interaction
4. Analytical Model for Spatial Resolution Characterisation of Keystroke Recognition using WiFi Sensing
Authors: H. Wang, D. Mishra, A. Seneviratne, E. Ambikairajah
Journal: IEEE Wireless Communications Letters
Year: 2025
Highlights:
Provides theoretical modeling of spatial resolution in WiFi-based keystroke tracking
Validates model using experimental datasets
Useful for optimizing sensing deployment in smart homes and secure facilities
5. Conservative Interference Injection to Minimize Wi-Fi Sensing Privacy Risks and Bandwidth Loss
Authors: A. Sharma, H. Wang, D. Mishra, A. Seneviratne
Journal: Future Internet, Volume 17, Issue 1, Article 20
Year: 2025
Highlights:
Focuses on privacy preservation in WiFi sensing
Proposes interference injection strategies to prevent unauthorized tracking
Minimizes bandwidth degradation while protecting user data
Conclusion
Mr. Haoming Wang is a highly promising telecommunications researcher with a strong foundation in wireless sensing, intelligent systems, and privacy-focused IoT innovations. His exceptional research output, dedication to education, and commitment to inclusive community engagement position him as a rising star in the field of next-generation wireless technologies. He is a worthy candidate for recognition by the Global Network & Technology Excellence Awards, and his continued contributions are expected to play a meaningful role in advancing wireless sensing, smart environments, and ethical technology innovation globally.