Mr. Mingjian Zhu | Microwave Photonics Awards | Best Researcher Award

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Mr. Mingjian Zhu | Microwave Photonics Awards | Best Researcher Award 

Mr. Mingjian Zhu, Beijing Jiaotong University, China

Mingjian Zhu is a postgraduate researcher at the Institute of Lightwave Technology, Beijing Jiaotong University, specializing in optical fiber sensing. He holds a Master’s degree in Information and Communication Engineering and has been actively engaged in fiber optic sensing research for three years. His primary research focus is on optical fiber magnetic field sensing based on optoelectronic oscillators (OEO). Throughout his academic journey, he has contributed to publications indexed in Scopus and other reputable databases, participated in research projects, and filed a patent. His work aims to advance the field of fiber optic sensing technology with applications in precision measurement and industrial sensing. Mingjian Zhu continues to explore innovative solutions in optical sensing, contributing to research and development in this rapidly evolving domain.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award  

Mingjian Zhu has demonstrated a strong foundation in fiber optic sensing research, particularly in optical fiber magnetic field sensing based on optoelectronic oscillators (OEO). While he is still in the early stages of his research career, his commitment to innovation and academic contributions highlight his potential as a promising researcher in the field.

🎓 Education:

  • Master’s Degree in Fiber Optic Sensing – Beijing Jiaotong University (Ongoing)
  • Bachelor’s Degree in Information and Communication Engineering – Beijing Jiaotong University

💼 Work Experience:

  • Postgraduate Researcher at the Institute of Lightwave Technology, Beijing Jiaotong University (Since 2022)
  • 3 Years of Experience in Fiber Optic Sensing, specializing in Magnetic Field Sensing Based on Optoelectronic Oscillators (OEO)

🏆 Achievements & Research Contributions:

  • 📄 1 Journal Publication indexed in Scopus/Web of Science
  • 🔬 1 Research Project completed and ongoing
  • 💡 1 Patent published or under process
  • 📖 1 Journal Publication in other indexing databases
  • 🎤 Conference Presentations in the field of fiber optic sensing

🏅 Awards & Honors:

  • Nominated for Best Research Scholar Award
  • Recognition in the field of Optical Fiber Magnetic Field Sensing
  • Contributing to Research & Innovation in Optoelectronics and Sensing Technology

Publication Top Notes:

High-Sensitivity Magnetic Field Sensor Based on an Optoelectronic Oscillator with a Mach–Zehnder Interferometer

 

Dr. Xiaoxian Song | Photodetector Device Awards | Best Researcher Award

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Dr. Xiaoxian Song | Photodetector Device Awards | Best Researcher Award

Dr. Xiaoxian Song, Jiangsu University, China

Xiaoxian Song was born in Bozhou, Anhui Province, China. He received his B.S. degree in Optoelectronic Science and Technology from Changchun University of Science and Technology, China, in 2010, and his Ph.D. degree in Physical Electronics from Tianjin University, China, in 2017. In 2017, he joined the School of Mechanical Engineering at Jiangsu University, China, as a lecturer. His current research interests include micro-nano optoelectronic devices and the field of terahertz science and applications.

Professional Profile:

SCOPUS

Summary of Dr. Xiaoxian Song

Dr. Xiaoxian Song is a distinguished researcher specializing in Micro-nano Optoelectronic Devices and Terahertz Science & Applications. He earned his Ph.D. in Physical Electronics from Tianjin University in 2017 and currently serves as a Lecturer at Jiangsu University’s School of Mechanical Engineering. His research has made a significant impact, with 106 published documents, 1,358 citations, and an h-index of 21, reflecting his substantial contributions to the scientific community. His recent works, published in leading journals such as Optics and Laser Technology, Acta Optica Sinica, Photonics, Materials Letters, and Applied Optics, focus on terahertz sensors, photodetectors, metamaterials, and photothermal detection.

🎓 Education:

  • 📚 B.S. in Optoelectronic Science and Technology – Changchun University of Science and Technology, China (2010)
  • 🎓 Ph.D. in Physical Electronics – Tianjin University, China (2017)

💼 Work Experience:

  • 👨‍🏫 Lecturer – School of Mechanical Engineering, Jiangsu University, China (2017–Present)

🔬 Research Interests:

  • 🏆 Micro-Nano Optoelectronic Devices
  • 📡 Terahertz Science and Applications

🏅 Achievements & Awards:

  • 🥇 Outstanding Researcher Award in the field of optoelectronic science
  • 🏆 Best Paper Award in international conferences on terahertz applications
  • 🏅 Research Grants & Funding for projects in micro-nano photonics
  • 📖 Published in High-Impact Journals related to optoelectronics and terahertz technology

Publication Top Notes:

Dual F-type reflective metal microstructure sensor for BSA detection in terahertz band

Tunable Four-Band Terahertz Metamaterial Absorber Based on Dirac Semimetal

Research on Pt-Based Film Negative Photoconductivity Photothermal Detector Under Different Wavelength Laser Irradiation

High-Responsivity Vis–NIR photodetectors based on Bi2Te3 thin films and Ag2S QDs heterojunction

Simulation study on supercontinuum broadening based on the BIC model

A terahertz chiral metamaterial with tunable dual-band to broadband circular dichroism based on Dirac semimetals

High-Performance Vis–NIR Photodetectors Based on Two-Dimensional Bi2Te3 Thin Film and Applications

Dr. Liu Jun | Optical Sensors Awards | Best Researcher Award

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Dr. Liu Jun | Optical Sensors Awards | Best Researcher Award

Dr. Liu Jun, Jiangsu Academy of Agricultural Sciences, China

Jun Liu received his B.Sc. degree in Automation from Nanjing Agricultural University, China, in 2007, and his M.Sc. degree in Instrument Science and Technology from Southeast University, China, in 2010. He has served as both an Assistant Professor and Associate Professor at the Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, China. His research interests primarily focus on signal processing, instrumentation, and digital agriculture, contributing to advancements in agricultural technology and equipment.

Professional Profile:

SCOPUS

Summary for Jun Liu’s Suitability for the Best Researcher Award

Jun Liu is a highly qualified researcher with a strong academic background and a significant contribution to the field of agricultural technology. He received his B.Sc. degree in automation from Nanjing Agricultural University, China, in 2007, followed by an M.Sc. degree in instrument science and technology from Southeast University, China, in 2010. Liu has held positions as both an Assistant Professor and Associate Professor at the Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, where he has focused on advancing research in signal processing, instrumentation, and digital agriculture.

Education 🎓

  • B.Sc. in Automation
    Nanjing Agricultural University, China (2007)
  • M.Sc. in Instrument Science and Technology
    Southeast University, China (2010)

Work Experience 💼

  • Assistant Professor
    Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, China
  • Associate Professor
    Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, China

Research Interests 🔍

  • Signal Processing
  • Instrumentation
  • Digital Agriculture

Achievements 🏆

  • Published multiple research papers in reputable journals
  • Developed innovative agricultural equipment and systems

Awards and Honors 🎖️

  • Recognition for contributions to digital agriculture
  • Best Paper Award at a national conference on agricultural technology

Publication Top Notes:

Design and experiment of suspended track inspection robot for facility pig farms

Research status and development trend of fruit and vegetable sorting equipment

PL-DINO: An Improved Transformer-Based Method for Plant Leaf Disease Detection

Design and Experimentation of a Tomato Harvesting System Based on Human-Like Picking Behavior

Cadmium ions mediated turn-on electrogenerated chemiluminescence of ZnS nanoparticles for highly selective cadmium detection in seafood