Dr. Lei Hou | Optical Sensing | Innovative Research Award

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Dr. Lei Hou | Optical Sensing | Innovative Research Award

Dr. Lei Hou, Zhejiang Lab, China

Dr. Lei Hou is an Associate Researcher at the Frontier Basic Research Center of Zhejiang Laboratory, specializing in biomedical sensing systems and micro-nano fiber-based tactile technologies. He earned his Ph.D. in Biomedical Engineering from Brunel University London in 2019, following an MSc in Microelectronic System Design from the University of Southampton and a Bachelor’s degree in Electronic Engineering from the University of Sheffield. Dr. Hou has accumulated diverse research experience through his tenure at institutions such as Teesside University, the European Commission Horizon 2020 program, and Zhejiang Laboratory, where he currently leads innovative projects in optoelectronic fusion and intelligent perception microsystems. He has made significant contributions to sensor technologies for cochlear implants and healthcare monitoring systems for elderly care, evidenced by his sole first-author publications in high-impact journals and IEEE conferences. His research excellence is further recognized through multiple patents in micro-nano optical fiber sensing. Dr. Hou’s work exemplifies interdisciplinary innovation, blending electronics, optics, and AI to advance biomedical and tactile sensing technologies.

Professional Profile:

ORCID

Summary of Suitability for Innovative Research Award – Dr. Lei Hou

Dr. Lei Hou is a forward-thinking researcher whose work integrates biomedical engineering, micro-nano sensor systems, and AI-powered healthcare solutions. With an impressive academic trajectory and substantial contributions to sensor-based prosthetic systems, robotic cochlear implants, and micro-nano optoelectronic tactile sensing, Dr. Hou embodies the spirit of innovation and translational research excellence.

🎓 Education

  1. 📍 Brunel University London
     🗓 Jul 2014 – Oct 2019
     🎓 PhD in Biomedical Engineering

  2. 📍 University of Southampton
     🗓 Sep 2011 – Nov 2012
     🎓 MSc in Microelectronic System Design

  3. 📍 The University of Sheffield
     🗓 Sep 2008 – Jun 2011
     🎓 BEng in Electronic Engineering

  4. 📍 Wuhan British Chinese University (WHBC)
     🗓 Jun 2007 – Jun 2008
     📘 Foundation in Engineering

💼 Work Experience

👨‍🔬 Research & Academic Roles

  • 📍 Zhejiang Laboratory, Frontier Basic Research Center
     🗓 Jan 2022 – Present
     💼 Associate Researcher (On-site)

  • 📍 Teesside University, UK
     🗓 Dec 2018 – Jan 2022
     💼 Researcher

🧪 Industry R&D

  • 📍 Communications Consultants Worldwide
     🗓 Dec 2012 – Jun 2014
     💼 R&D Engineer

🏆 Research Projects (Past 5 Years)

  1. 🔬 Optoelectronic Fusion Tactile Sensing & Intelligent Perception Microsystem
     📍 Zhejiang Provincial Dept. of Science & Tech (2021–2023)
     💰 RMB 23 million — ✅ Completed

  2. 🦿 SocketSense (Horizon 2020, EU)
     📍 2019–2021
     💰 RMB 26.86 million — ✅ Completed

  3. 👟 QuickFit (UKRI)
     📍 2018–2021
     💰 RMB 8.3 million — ✅ Completed

  4. 🪑 iChair (UKRI)
     📍 2018–2020
     💰 RMB 2.95 million — ✅ Completed

📚 Representative Publications (Sole First Author 🥇)

  1. Journal of Speech, Language, and Hearing Research (2021)
     🧠 A Capacitive Cochlear Implant Electrode Array Sensing System to Discriminate Fold-Over Pattern

  2. Otology & Neurotology (2021)
     🦻 A Novel Capacitive Cochlear Implant Electrode Array Sensing System to Discriminate Failure Patterns

  3. IEEE ICCCS 2021
     🦽 IoT-Based Smart Wheelchair for Elderly Healthcare Monitoring

  4. IEEE BioRob 2018
     🤖 Robotic Cochlear Implant Electrode Array Placement

  5. ICBBT 2018
     🧪 Capacitance Measures During Cochlear Implant Electrode Array Positioning

🧬 Patents

  1. 🇨🇳 CN202310834041.X (Oct 2023)
     🔍 Predicting Size and Position of Micro-Nano Optical Fiber Load (Deep Learning)

  2. 🇨🇳 CN202311736669.2 (Dec 2023)
     📏 Force Position Detection in Micro-Nano Optical Fiber Based on Spectral Change

🏅 Honors & Achievements

  • 🥇 Sole first author in multiple high-impact journals and international conferences

  • 🧠 Inventor of two cutting-edge patents in micro-nano optical sensing

  • 🌍 Active contributor to major EU and UK-funded research programs

  • 🤝 Collaborator across academia and industry in biomedical and sensing technology

Publication Top Notes:

A Capacitive Cochlear Implant Electrode Array Sensing System to Discriminate Fold-Over Pattern

Capacitance Measures During Cochlear Implants Electrode Array Positioning

A Novel Sensing System for Cochlear Implants Electrode Array Placement

 

 

Assoc Prof Dr. Xiangmin Hu | Optical Sensing Award | Best Researcher Award

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Assoc Prof Dr. Xiangmin Hu | Optical Sensing Award | Best Researcher Award

Assoc Prof Dr. Xiangmin Hu, Dalian University of Technology, China

Dr. Xiangmin Hu is an Associate Professor at Dalian University of Technology, China, with a strong background in intelligent sensing, optoelectronic devices, and hyperspectral imaging (HSI). He earned his B.S. degree in Applied Physics and M.S. degree in Physics from Beijing Institute of Technology, followed by a Ph.D. in Mechanical Engineering from Tsinghua University. His research focuses on combining artificial intelligence with optical research, particularly in HSI technology and systems. Dr. Hu has made significant contributions to the field, including enhancing detection capabilities of nanoscale defects using image processing algorithms, developing innovative spectrometer technology, and applying machine learning to improve quantum dot light-emitting diodes (QLEDs). He has published 18 research papers with over 2,000 citations and an H-index of 8. His work has earned him six national patents (four authorized) and several prestigious awards, including the Youth Fund of the National Natural Science Foundation of China and the Postdoctoral Science Foundation of China. Prior to his academic career, he worked as an AI algorithm engineer at BYD Company.

Professional Profile:

 

Summary of Suitability for Best Researcher Award:

Dr. Xiangmin Hu is a highly accomplished researcher specializing in intelligent sensing/detection, optoelectronic devices, and hyperspectral imaging (HSI). His multidisciplinary research spans artificial intelligence (AI), materials science, and optoelectronic sensing, making him a strong contender for the Best Researcher Award. Below are key factors supporting his eligibility:

Education:

  • 2009.09 – 2013.06: B.S. degree in Applied Physics, Beijing Institute of Technology.
  • 2013.09 – 2016.03: M.S. degree in Physics, Beijing Institute of Technology.
  • 2018.09 – 2022.06: Ph.D. degree in Mechanical Engineering, Tsinghua University.

Work Experience:

  • 2016.11 – 2018.01: AI Algorithm Engineer, BYD Company.
  • 2022.07 – 2024.09: Post-doctoral Researcher, Beijing Institute of Technology.
  • 2024.09 – Present: Associate Professor, Dalian University of Technology.

Publication top Notes:

Miniature spectrometer based on graded bandgap perovskite filter

Machine Learning Correlating Photovoltaics and Electroluminescence of Quantum Dot Light-Emitting Diodes

Ligand Exchange-Induced Shape Transformation of CsPbBr3 Nanocrystals Boosts the Efficiency of Perovskite Light-Emitting Diodes

The warming-up effects of quantum-dot light emitting diodes: A reversible stability issue related to shell traps

Machine Learning Assisted Stability Analysis of Blue Quantum Dot Light-Emitting Diodes