Research Profile

·  Signal waveform design (wireless, optical and wireless-optical)

·  Communication systems (4G/5G/6G): system modelling and implementation

·  RF and digital system prototyping (software defined radio, USRP, FPGA)

·  Artificial intelligence (machine learning & deep learning)

·  Next-generation Internet of things

·  Secure communications (wireless, optical and wireless-optical)

·  Novel modulation format design

·  MIMO beamforming and transmission

·  Antenna design and prototyping

·      Interference exploitation

·  Signal processing, algorithm development and mathematical modelling

·      Medical and Healthcare engineering

Work Experience

2025(Feb.) – present 

Lecturer (Assistant Professor), Department of Electronic and Electrical Engineering,

      University College London, UK.

2022(Oct.) – 2025(Jan.) 

Lecturer (Assistant Professor), School of Engineering,

                Newcastle University, UK.

2022(Oct.) – 2025(Feb.) 

Visiting Lecturer, Department of Electronic and Electrical Engineering,

      University College London, UK.

2020(Oct.) – 2022(Oct.) 

Senior Research Fellow, Department of Electronic and Electrical Engineering,

      University College London, UK.

·      Explore practical AI solutions for 5G/6G communication systems.

·      Robust and interpretable intelligent signal sensing.

·      Integrated sensing and communications (ISAC) for multiuser-MIMO.

·      Low-cost secure communication framework.

·  Software-defined radio prototyping.

2019(Sept.) – 2020(Oct.)

Senior Research Fellow, Department of Electronic and Electrical Engineering,

      University College London, UK.

·      Waveform design for 6G.

·      Intelligent signal sensing using machine&deep learning.

·  Low-cost NG-IoT framework development.

2018(Jan.) – 2019(Aug.)

Research Fellow, Department of Electronic and Electrical Engineering,

University College London, UK.

·  Hybrid analogue-digital multiuser-MIMO beamforming prototyping.

·  Precoding algorithms development for multiuser-MIMO.

·  Next generation IoT (NG-IoT) signal design and prototyping.

·  Parasitic antenna design for low-cost multiuser-MIMO system.

·  Machine learning detector design and implementation for Wireless and optical communications.

·  Software-defined radio prototyping

2017(May) – 2018(Jan.)

Data Analyst, Orsus Medical Ltd, UK

·  Non-invasive blood glucose monitor development.

·  Biomedical signal processing: Design unique radio waveforms to improve prediction accuracy.

·  Data analysis: Capture data and clean data using MATLAB, Python and Excel.

·  Feature engineering: Machine learning algorithms are used to discover hidden features for blood glucose prediction model design.

·  Graphical user interface (GUI) design.

·  Write technical documentation: ‘Microwave Non-Invasive Blood Glucose Prediction’.

2016(Jul.) – 2017(May)

5G System Designer, National Instruments (NI), UK

·  Implement 5G signal waveforms on USRP-RIO using LabVIEW.

·  Study the LTE application framework on the USRP-RIO for LTE-related development.

·  Investigate RF impairments on USRP-RIO.

Administration Experience

• 2022(Nov.)-2025(Jan.). Director of Communications Systems Lab, Newcastle University

• 2019(Jan.)-2022(Oct.). Manager of Aeroflex Wireless Lab, University College London

Editorial Experience

• 2024(Apr.)-present.  Editor, Journal of Information and Intelligence

• 2022(Oct.)-present.  Associate Editor, IEEE Wireless Communications Letter

• 2020(Jun.)-present.  Associate Editor, Journal Frontiers in Communications and Networks 

Teaching Experience

2025(Jan.) – 2025(Feb.):  

Module co-leader, University College London

ELEC0024: Digital Signal Processing (DSP)

2022(Oct.) – 2025(Feb.):  

Module leader, Newcastle University

MSc-EEE8128: Communications and Signal Processing (~80 MSc students)

2020(Oct.) – 2020(Nov.)

Postgraduate Teaching Assistant (PGTA), University College London (UCL)

·  Mobile Communications Systems (MCS) course.

·      Size: 60-70 MSc students.

·      Lecture preparation for newly emerging communication techniques.

·      Organize students seminars and tutorials.

2017(Nov.) – 2017(Dec.)

Postgraduate Teaching Assistant (PGTA), University College London (UCL)

·  Broadband Communications Laboratory (BCL) course.

·      Size: 30-40 MSc students.

·      Introduce test and measurement equipment and techniques for characterizing RF devices and communication systems.

·      RF experiments equipment: vector network analyzer; spectrum analyzer, vector signal generator, signal analyzer.

·      Obtain practical experiment skills beyond software simulation.

2012(Nov.):

Postgraduate Teaching Assistant (PGTA), University College London (UCL)

·  Communications Systems Modeling (CSM) course.

·      Size: 30-40 MSc students.

·      Teach students to simulate communication systems using Matlab

·      Explain signal processing in communication systems.

·      Organize lab simulation exercises for MSc students.

Professional Experience

2019(Apr.)-2020(Sept.)

Publicity & Communications Chair, IEEE PIMRC Conference, London, UK

2019(Apr.)-2020(Sept.)

Students Grant Chair, IEEE PIMRC Conference, London, UK

2020(Aug.)

Special Session Track Organizer and Chair, IEEE PIMRC conference, London, UK

·  Track topic: Waveform Design for Beyond 5G Communications (WD for Beyond 5G).

2019(Apr.)

Special Session Track Organizer and Chair, IEEE ICT conference, Hanoi, Vietnam

·  Track topic: Waveform Design and Massive Connections for Beyond 5G Communications.

2017(Feb.) – 2017(Aug.)

IoT Project Consultant, Rothamsted agricultural institute, UK

·  Design a business model for precision agriculture.

·  Investigation of IoT devices for smart agriculture.

·  Smart agriculture entrepreneurship competition co-winner.

2013(Mar.) – 2013(Jun.)

Research Assistant, Institute of photonics technology at JINAN University in China

·  Set up an optical testbed to verify the transmission of SEFDM signals.

·  Test a newly proposed signal detector in a realistic optical fiber transmission.

·  Reach a conclusion that the SEFDM signal can improve data rate without consuming extra spectral resources.

2012(Sep.) – 2012(Dec.)

Research Assistant, University College London (UCL)

·  An optimized signal detector was proposed and verified.

·  Real-time signal detector prototyping in FPGA.

Education

2013(Jul.) - 2017(Aug.)

PhD, University College London (UCL)

Research: Spectrally Efficient FDM (SEFDM): from Theory to Practice.

Degree: PhD in Electronic & Electrical Engineering (Thesis submitted with no corrections)

Thesis: Bandwidth Compressed Waveform and System Design for Wireless and Optical

Communications: Theory and Practice (Lombardi best PhD prize runner-up)

2011(Sep.) - 2012(Sep.)

MSc, University College London (UCL)

Degree: MSc in Telecommunications (Distinction)

Thesis: Modelling of an Interactive platform for the simulation of a Spectrally Efficient FDM communication system

2007(Aug.) - 2011(Aug.)

BEng, Xidian University

Degree: BEng in Electronic Information Engineering (with mark 85/100, top 10%)

Thesis: FPGA Design of Bayes Camera Interference