Hongying Meng

Professor Hongying Meng is a full professor in the Department of Electronic and Electrical Engineering at Brunel University London, within the College of Engineering, Design and Physical Sciences. He is the Director of the Transnational Education Programme with Chongqing University of Posts and Telecommunications (CQUPT) in China, and a key member of several research centres including the Institute of Digital Futures, Centre for AI: Social and Digital Innovation, and Intelligent Digital Economy and Society.

Education:

• BSc, MSc, and PhD in Communication and Electronic Systems – Xi’an Jiaotong University, China
• Postdoc and Lecturer – Tsinghua University, Beijing, China

Research Interests:

Professor Meng’s research spans a broad spectrum of cutting-edge domains including digital signal processing (e.g., wavelet transforms, biomedical signal analysis), machine learning (e.g., deep learning, reinforcement learning, LLMs), human-computer interaction (e.g., affective computing, gesture recognition), computer vision (e.g., 3D imaging, medical imaging), and embedded systems and communications (e.g., IoT, neuromorphic computing).

Research Trends from Publications:

His recent publications reflect a strong focus on AI-driven medical imaging, emotion recognition systems, sparse-view CT reconstruction, and lightweight neural architectures. These works integrate advanced techniques such as graph neural networks, knowledge distillation, and multimodal fusion, with applications in healthcare, autonomous systems, and human-computer interaction.

Scientific Awards & Honors:

• World’s Best Computer Science Scientists (Research.com, 2025)
• Top 2% Scientist of the World (Stanford/Elsevier, 2023 & 2024)
• Top Scholar (Top 0.5% worldwide, ScholarGPS, 2024)
• AI 2000 Most Influential Scholar Award Honorable Mention (Aminer, 2022)
• Winner of AVEC2011 & AVEC2013 International Emotion Recognition Challenges

Grants & Projects:

Professor Meng has led or co-led over 15 major research projects funded by EPSRC, Royal Society, Royal Academy of Engineering, EU Horizon 2020, and others. These include:

• Neuromorphic computing and brain-inspired memory systems
• Smart cardiac emergency detection devices for ambulances
• AI-driven depression and pain recognition systems
• Robotic cochlear implant insertion systems
• Millimetre-wave imaging and 3D medical image reconstruction

Labs & Teams:

He is affiliated with the Electronic Systems Research Group and collaborates extensively with interdisciplinary teams across Brunel’s AI and Health institutes. He also maintains active international collaborations with institutions such as Tsinghua University, UCL, and the University of York.