Projects per year
Personal profile
Overview
Dr Haeyoung Lee is a Senior Lecturer in Mobile Communication within the School of Physics, Engineering and Computer Science (SPECS) at the University of Hertfordshire (UH). She also serves as the Programme Leader for BEng Electrical and Electronic Engineering (EEE). Before joining the UH, she was a Senior Research Fellow at the 5G/6G Innovation Centre (5G/6GIC), University of Surrey. Prior to her academic career, she worked in the communication industry at Samsung Electronics, Korea, where she worked in designing an internet platform for CDMA mobiles. She later moved to the Radio Research Agency (RRA) under the Ministry of Information and Communication (MIC) in Korea, focusing on research into dynamic spectrum access and spectrum harmonisation. She has been actively involved in several EU projects, including OneFIT, Speed-5G, Clear5G, 5G-HEART, and DEDICAT6G. She has organised multiple IEEE conference workshops and has served as the TPC chair for the ICOIN (Int'l Conf. on Information Networking) since 2023. She currently serves as an Associate Editor for the IEEE Open Journal of Vehicular Technology and as an Academic Editor for the MDPI Topic 'Machine Learning in Communication Systems and Networks'. Dr. Lee is a Fellow of the Higher Education Academy (FHEA).
Awards
- 2022 KSEAUK Outstanding Early Career Researcher Award, Korean Scientists and Engineers Association in the UK (KSEAUK)
- Best Workshop Paper Award, 'ML-based estimation of the number of devices in industrial networks using unlicensed bands', IEEE ICTC2022
- Best Conferece Paper Award, 'Profiling Vehicles for Improved Small Cell Beam-Vehicle Pairing Using Multi-Armed Bandit', IEEE ICTC 2021
- Full funded PhD Scholarship (Tuition and Bursary), CCSR (Centre for Communication Systems Research), University of Surrey
- Full funded MSc Scholarship (Tuition and Bursary), Ministry of Education & Science in Korea
- Academic Excellence Scholarship for BSc studies, Korea Aerospace University
Research interests
Dr Lee's main research interests are the intelligent radio resource management for advanced wireless communications, including the following:
- Next-generation (6G/B6G) communications and networking
- Machine learning communication technologies for dynamic networks including vehicles/drones/UAVs
- Communication applications to support connected and automated industries (e.g., Automotive, and Factory automation).
- Direct-to-Satellite IoT Communication
- Feasible and uncoordiated Random Access for massive connectivity for Smart IoT
- Age of Information (AoI)-based System parameter optimisation
- Quality-of-service/experience (QoS/QoE) provisioning
She is currently supervising BSc, MSc, and PhD student, as well as a Postdoc researchers, working collaborately as one research team. PhD applications are welcome in the above areas. Prospective candidates are encouraged to send me a research proposal and CV (to [email protected]).
Teaching specialisms
From the academic year 2025-26, she will be teaching the following modules:
- Level5 - Communication System Principles
- Level6 - Digital Communication Systems, Wireless Networking.
Previously, she taught the following modules:
- Level4 - Engineering Mathematics
- Level4 - Electrical and Electronic Theory
- Level7 - Information Theory and Data Processing
- Level7 - Digital Communication Systems
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Collaborations and top research areas from the last five years
Projects
- 8 Finished
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A Smart Factory for the Fourth Industrial Revolution in 5G/B5G
Lee, H. (CoI)
1/10/19 → 30/03/23
Project: Research
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EU H2020 project, Clear5G (EU-Taiwan Joint R&D project)
Lee, H. (Researcher)
1/01/18 → 30/05/20
Project: Research
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Context-Aware Beam Selection for IRS-Assisted mmWave V2I Communications
Lee, H., 24 Jun 2025, In: Sensors. 25, 13, 16 p., 25(13).Research output: Contribution to journal › Article › peer-review
Open Access -
Integrating nApps in 5G for Verticals: Architecture Innovation and Technology Enablers
Li, X., Mesodiakaki, A., Gatzianas, M., Kalfas, G., Charismiadis, A.-S., Tsolkas, D., Zanzi, L., Salkintzis, A., Warren, D., Gavrielides, A., Sophocleous, M., Gramaglia, M., Gavras, A., Cogalan, T., Lee, H. & Bulakci, Ö., 2 Sept 2024, (E-pub ahead of print) In: IEEE Communications Magazine. 63, 1, p. 161-167 7 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
A ML-based Spectrum Sharing Technique for Time-Sensitive Applications in Industrial Scenarios
Baiyekusi, O., Mahmoud, H., Mi, D., Arshad, J., Adeyemi-Ejeye, F. & Lee, H., 17 Jul 2024, (E-pub ahead of print) 2024 International Wireless Communications and Mobile Computing (IWCMC). Ayia Napa, Cyprus: Institute of Electrical and Electronics Engineers (IEEE), p. 1-6 6 p. (International Wireless Communications and Mobile Computing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile3 Citations (Scopus)49 Downloads (Pure) -
Machine Learning in Communication Systems and Networks
Sun, Y. (Editor), Lee, H. (Editor) & Simpson, O. (Editor), 18 Apr 2024, MDPI Multidisciplinary Digital Publishing Institute. 398 p.Research output: Book/Report › Book
Open AccessFile548 Downloads (Pure) -
Machine Learning in Communication Systems and Networks
Sun, Y., Lee, H. & Simpson, O., 17 Mar 2024, In: Sensors. 24, 6, p. 1-6 6 p., 1925.Research output: Contribution to journal › Editorial › peer-review
Open AccessFile3 Citations (Scopus)50 Downloads (Pure)