Dr. Lei Hou | Optical fiber | Best Researcher Award

Professor at Zhejiang Lab, China

Dr. Lei Hou is an accomplished Associate Researcher at the Center for Frontier Fundamental Research, Zhejiang Lab. He holds a Ph.D. in Biomedical Engineering from Brunel University London and brings a multidisciplinary background spanning electronics, microelectronics, and biomedical systems. With a deep commitment to innovation, Dr. Hou has contributed significantly to cutting-edge sensing systems and biomedical devices, including cochlear implants and smart wheelchairs. He has authored impactful publications in top-tier journals and conferences and is the inventor of advanced micro/nano fiber sensing technologies. His work spans international collaborations under EU Horizon 2020 and UKRI-funded projects. Dr. Hou continues to advance human-machine interfacing and intelligent medical sensing platforms through precision engineering and deep learning.

Professional Profile

Scopus Profile

Education

Dr. Hou completed his Ph.D. in Biomedical Engineering at Brunel University London (2014–2019), where he specialized in novel sensing systems for cochlear implants. He previously earned an MSc in Microelectronic System Design from the University of Southampton (2011–2012), following a BEng in Electronic Engineering from the University of Sheffield (2008–2011). He began his academic journey at Wuhan Britain-China School (WHBC), preparing for engineering pathways (2007–2008). His educational foundation spans electronics, micro-systems, and biomedical innovation, positioning him to tackle interdisciplinary challenges in smart sensing, AI for healthcare, and biomedical device development.

Work Experience

Dr. Lei Hou has extensive R&D and academic experience. He currently serves as an Associate Researcher at Zhejiang Lab, and was a Postdoctoral Researcher at Teesside University, UK (2018–2022), and later at Zhejiang Lab (2022–Present). Previously, he worked as an Engineer in R&D at Communications Consultants Worldwide (2012–2014). He has participated in international collaborations such as the Horizon 2020 SocketSense project, UKRI’s QuickFit and iChair, and China’s Smart Tactile Sensing Microsystems project. Across all roles, Dr. Hou has integrated engineering with healthcare, focusing on smart prosthetics, real-time monitoring, and AI-based healthcare interfaces.

🏆 Awards & Honors

Dr. Hou’s research excellence is recognized through prestigious patents and international collaborations. His patents include:

Deep learning-based load prediction for micro/nano optical fibers (CN202310834041.X, 2023)
Spectral-based force position detection for optical fiber tapers (CN202311736669.2, 2023)
He played key roles in four major research projects totaling over 60 million CNY, funded by the EU Horizon 2020, UKRI, and Zhejiang Science & Technology Department. These include SocketSense, QuickFit, and iChair, where his innovations have shaped smart prosthetics and AI-assisted healthcare systems. His contributions to IEEE and biomedical conferences, as a sole first author, have positioned him among the leading experts in the biomedical micro-sensing community.

Research Focus

Dr. Lei Hou’s research sits at the intersection of biomedical sensing, AI-powered health systems, and smart micro/nano devices. He focuses on developing capacitive cochlear implant sensing, smart prosthetic sockets, and wearable healthcare systems. His current work includes deep learning models for force/load prediction in micro/nano optical fibers, pushing the frontiers of tactile feedback and microsystem integration. He also explores Internet-of-Things (IoT) frameworks for elderly care, sensor-based robotic surgery aids, and adaptive signal processing. With multiple patents and innovations in intelligent sensor design, Dr. Hou continues to shape the future of precision medicine and neuroprosthetics.

Skills

Dr. Hou is skilled in biomedical sensor design, capacitive and optical microsystems, deep learning integration in sensing technologies, IoT systems for health monitoring, and prosthetic interface optimization. He is proficient with embedded systems, data acquisition frameworks, and simulation tools for electromechanical and optical systems. His programming toolkit includes MATLAB, Python, and LabVIEW, and he has extensive experience with PCB design, MEMS, and signal processing algorithms. His cross-domain expertise enables him to collaborate with clinicians, engineers, and software developers to deliver end-to-end medical sensing solutions.

Conclusion

Lei Hou is a highly qualified and promising candidate for the Best Researcher Award, especially in the domains of biomedical sensing, microelectronic systems, and healthcare technologies. His solid foundation in engineering and demonstrated innovation through patents and international collaborations highlight his potential as a future leader in translational research. While gaining more leadership in grant management and increasing his academic citation footprint would strengthen his profile, his contributions already make a compelling case for recognition.

Publications to Noted

“Tapered Optical Fiber Enabled Distributed Sensors with High Spatial Resolution by Deep Learning”

Authors: Lei Hou, Ting Jiang, Ting Yu, C. Cao, X. Tu, J. Zhang, J. Pan, S. Wang, N. Zhou, N. Yao, L. Zhang
Year: 2024
Citations: 7

Lei Hou | Optical fiber | Best Researcher Award