Jiancun Zhao | Metasurface | Young Scientist Award

Dr. Jiancun Zhao | Metasurface | Young Scientist Award

Associate researcher, Northwestern Polytechnical University, China

Jianchun Zhao is an Associate Researcher and Director of the Production Department at the Intelligent Sensor Chip Technology Research Center, Ningbo Research Institute, Northwestern Polytechnical University 🎓. He obtained his Ph.D. from Northwestern Polytechnical University 🎖️. His research expertise lies in micro-nano optical imaging devices, all-solid-state flexible electrochromic devices, and MEMS sensor fabrication technologies 🔬. He has published 11 papers in top journals, including Advanced Science, Advanced Optical Materials, and Optics Letters 📚. Additionally, he has applied for 30 patents (18 authorized), including 17 invention patents and 13 utility model patents 🏅. His pioneering work contributes to next-generation optical imaging, sensing, and nanotechnology applications 🚀.

Profile

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Education 🎓

Ph.D. in Engineering – Northwestern Polytechnical University (Year Not Specified) 🏅Specialized in Micro-Nano Optical Imaging, Electrochromic Devices, and MEMS Sensors 🔬Conducted advanced research in spectral filter chips and visible wide-band absorbers 📡Trained in integrated circuit design and semiconductor material processing ⚙️Developed expertise in flexible electronic materials and photonic devices 💡

Experience 👨‍🔬

Associate Researcher & Director, Intelligent Sensor Chip Technology Research Center, Ningbo Research Institute, Northwestern Polytechnical University (Present) 🏛️Leads R&D in micro-nano optical imaging, electrochromic devices, and MEMS sensors 🔬Collaborates with academic institutions and industries on semiconductor technologies 🤝Has published 11 papers in high-impact journals 📚Applied for 30 patents, with 18 already authorized 📜

Awards and Honors 🏆

Recognized expert in micro-nano optical imaging and MEMS sensors 🏅Holds 17 invention patents and 13 utility model patents 🔬Published in Advanced Science, Optics Letters, and Applied Physics Letters 📖Invited speaker at leading optical and materials science conferences 🎤Contributor to next-gen sensor chip and photonic material innovations 💡

Research Focus 🔍

Micro-Nano Optical Imaging Devices – Spectral filter chips, wide-band absorbers 🎥All-Solid-State Flexible Electrochromic Devices – Smart glass, energy-efficient displays 🔋MEMS Sensor Fabrication Technologies – Miniaturized high-precision sensors ⚙️Semiconductor Photonic Integration – Next-gen optical and electronic circuits 💡Patents & Commercialization – Bridging academia and industry for innovative applications 🚀

Publications

Flexible dynamic structural color based on an ultrathin asymmetric Fabry-Perot cavity with phase-change material for temperature perception

Lithography-free flexible perfect broadband absorber in visible light based on an all-dielectric multilayer structure

 

Conclusion:

Jianchun Zhao is a highly suitable candidate for the Research for Young Scientist Award, given his outstanding contributions to micro-nano optics, MEMS sensor fabrication, and electrochromic devices. His impressive publication record, patent portfolio, and leadership role make him a strong contender. Strengthening international collaboration, securing large-scale funding, and expanding public engagement would further solidify his profile as a leading young scientist in the field.

Noha Aboqara | Magneto-optics | Best Researcher Award

Ms. Noha Aboqara | Magneto-optics | Best Researcher Award

Engineerat Zewail City for Science and Technology, Egypt

Noha Aboqara, an exceptional young scholar from Egypt, has combined her passion for electronics and communication engineering with a deep curiosity about photonics and physics. 🌟 With a Master’s degree from Ain Shams University and a double-major undergraduate degree from AUC with the highest honors, Noha’s work spans diverse fields, from drug delivery innovations to AI applications in communication systems. 📚 She’s held teaching roles, completed numerous internships, and actively contributes to community outreach programs. 🌱 A dedicated researcher and award-winning student, she exemplifies academic excellence and a commitment to using technology for societal betterment.

Publication Profile

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Education🎓 

Master’s in Science and Engineering, Ain Shams University, Dec 2024  Bachelor of Science and Engineering, AUC, May 2021  Double major in Electronics and Communication Engineering and Physics; GPA 3.9/4.0, Highest Honors High School: Maadi STEM School for Girls, GPA 4.0/4.0, June 2016  Key academic projects include groundbreaking research on photonics for drug delivery, novel near-field techniques for biomedical applications, and GaN laser studies, leading to multiple publications and a book. Proficient in MATLAB, Lumerical, and C++, Noha integrates engineering theory with practical skills, making her an outstanding STEM achiever.

Experience👩‍🏫 

Teaching Assistant, Zewail City of Science and Technology, 2022-present Work-Study Program, Electronics and Communications, AUC, 2020 Technical Intern at Vodafone, EgyptAir, BARQ Systems, and CIOMP Lab, specializing in SDN, network security, RF amplifiers, and perovskite materials research. Research Assistant, AUC, 2019; conducted machine learning research for A2A routing, simulated on NS3.  Extracurriculars include roles as Public Relations Head of the Physics Association, Founder of STEM Emergency Team, and Community Outreach member of the Serenity Club, showcasing leadership and dedication to societal impact.

Awards and Honors🏅

Published 7 papers by graduation, including a book on photonics for drug delivery.Honor Recognition, AUC Sciences and Engineering, 2020 First place in Maadi STEM for math and revolutionary desalination system project; Egyptian Math Olympiad 2nd place winner, 2016 Silver Tamecom Necklace for excellence in math; National Honor List inclusion for top researchers worldwide, 2015Top prizes in science fairs for projects in environmental engineering, biogas, and industrial drift.

Research Focus🔬

Noha’s research bridges photonics and biomedical engineering, with a notable publication on drug delivery innovations using photonics. she is deeply involved in semiconductor laser studies, stress analysis in GaN lasers, and upconverting materials synthesis for advanced biomedical applications.  She’s developed models in MATLAB for communication diversity schemes (MIMO/SIMO) and simulation projects, contributing valuable insights to communication engineering.  With a keen interest in network virtualization, she applied machine learning in A2A routing, showcasing interdisciplinary skills in modern networked systems and smart materials applications.

Publication  Top Notes

  • Establishment of Theoretically Guided Understanding for Magneto-Optical Interactions through Ferromagnetic Fluids in Uniform, Static Magnetic Field
    • Authors: N.S. Aboqara, A.H.E. Morshed, Y.M. Sabry
    • Journal: Physica Status Solidi (A) Applications and Materials Science, 2024
  • Comprehensive Modelling for Time-Dependent Magneto-Optical Transmission Spectrum of Hematite Ferrofluid
    • Authors: N.S. Aboqara, A.H.E. Morshed, Y.M. Sabry
    • Journal: Advanced Theory and Simulations, 2024

Conclusion

Noha Aboqara is a highly qualified and promising candidate for the Best Researcher Award, given her strong academic background, extensive technical skills, and impressive research output. Her diverse project experience, leadership roles, and commitment to impactful scientific research make her a standout candidate. While focusing on specific research areas and seeking international collaborations may further elevate her profile, her current achievements already reflect excellence and innovation. She is well-positioned to contribute significantly to scientific advancements, making her deserving of recognition through this award.

Ye Shaowei | wavefront sensening | Best Researcher Award

Dr. Ye Shaowei | wavefront sensening | Best Researcher Award

Dr. Sun Yat-sen University, China

Shaowei Ye is a dedicated researcher currently pursuing a Doctor of Science in Physics at Sun Yat-sen University. His research primarily focuses on laser ranging and adaptive optics, where he is working on correcting aberrations in laser ranging systems. With a strong background in vehicle engineering from Xiamen University of Technology, Shaowei has contributed to several patents and publications in prestigious journals. He has been recognized with awards for his work, including the Best Poster Award at the TianQin Project. Proficient in software like Zemax, Matlab, and Python, Shaowei Ye combines technical expertise with innovative research.

Professional Profiles:

🧑‍🎓 Educational Background

Shaowei Ye, born in Shangrao, China, is currently pursuing a Doctor of Science in Physics at Sun Yat-sen University, expected to graduate in December 2024. Prior to this, he completed both his Bachelor’s and Master’s degrees in Vehicle Engineering at Xiamen University of Technology, showcasing his diverse academic foundation.

🔬 Research Focus and Project Experience

Sun Yat-sen University, Tianqin Laser Ranging Station (June 2020 – Present) Shaowei’s Ph.D. research is centered on Laser Ranging and Adaptive Optics. He has conducted extensive experiments on Earth-Moon laser ranging and star measurements, aiming to improve the accuracy of telescopic observations by correcting aberrations in a 1.2m telescope. His work at the station also includes volunteering, where he provides tours and explains complex scientific concepts to visitors.

Xiamen University of Technology, Mechanical Innovation Laboratory (March 2016 – December 2019) During his time at Xiamen University of Technology, Shaowei majored in 3D Modeling and Mechanical Design. He played a key role as a primary research assistant in a laser cleaning project, which involved the development of innovative solutions for cleaning automotive tire molds using laser technology.

🛠️ Technical Skills and Research Achievements

Shaowei possesses strong skills in Zemax, Matlab, Python, UG, C++, and 3D MAX. His research on laser cleaning led to several patents, including a utility model patent for a 500W laser cleaning machine. His Ph.D. work on adaptive optics aims to advance the field by addressing the sources of aberrations in laser ranging systems and proposing closed-loop correction methods.

🏆 Honors and Awards

Shaowei has been recognized with numerous accolades throughout his academic career, including:Provincial First Prize in the National College Students’ Mathematical Modeling Competition (2015)Provincial Special Prize in the National College Students’ 3D Modeling Competition (2018)Second Prize in the TianQin Graduate Skills Competition at Sun Yat-sen University (2021)Excellent Second Prize Scholarship for his contribution to the TianQin Satellite Construction at Sun Yat-sen UniversityBest Poster Award in the TianQin Project at Sun Yat-sen University (2024)

📚 Publications and Patents

Shaowei has co-authored several high-impact research papers and holds multiple patents, including:Invention Patent: “A Fully Automatic Ingot-Shaped Wonton Forming Device and Its All-in-One Machine” (2017)Utility Model Patent: “A Laser Cleaning Machine” (2019)SCI Q1 Publication: “Efficiency Testing Method for the Echo Receiving System of Laser Ranging Station” (2023)SCI Q2 Publication: “Near-Infrared Lunar Laser Ranging: Research on Pointing Error of Lunokhod 2 Corner Reflector” (2023)

Research Suitability for Best Researcher Award

Strengths for the Award:

  1. Cutting-Edge Research Contributions: Shaowei Ye has made significant advancements in the field of laser ranging and adaptive optics. His work on enhancing wavefront sensing and adaptive optics technology, particularly his doctoral thesis on active aberration correction, highlights his expertise in addressing complex challenges in optical systems.
  2. Innovative Patents and Publications: Ye’s involvement in multiple patents and high-impact journal articles demonstrates his innovative approach and commitment to advancing technology. His patents, such as those for laser cleaning machines and dry ice cleaning devices, showcase his practical contributions to the field.
  3. Diverse Research Experience: With experience ranging from mechanical innovation and 3D modeling to advanced laser systems, Ye exhibits a broad skill set. His participation in various projects, including those related to laser cleaning and optical system performance, reflects his versatility and depth of knowledge.
  4. Recognition and Awards: Ye’s achievements have been recognized through several awards, including provincial prizes and best poster awards. These accolades underscore his dedication and excellence in research and development.
  5. Technical Proficiency: Ye’s proficiency in software tools such as Zemax, Matlab, and Python, combined with his strong English skills (CET6 and TOEIC 680), further supports his capability to excel in research and effectively communicate his findings.

Areas for Improvement:

  1. Broader Collaboration: While Ye has made significant individual contributions, increased collaboration with international research groups could further enhance the impact and reach of his work. Engaging in joint projects or global research initiatives could provide additional perspectives and opportunities.
  2. Interdisciplinary Applications: Exploring interdisciplinary applications of his research could offer new insights and potential breakthroughs. For example, integrating his work on adaptive optics with emerging technologies in other fields may lead to innovative solutions.
  3. Public Engagement: Increasing visibility and public engagement through outreach activities, such as public talks or educational workshops, could further establish Ye as a leading figure in his field and enhance the societal impact of his research.

Conclusion:

Shaowei Ye is a highly deserving candidate for the Best Researcher Award due to his innovative contributions to laser ranging and adaptive optics, his strong patent portfolio, and his recognition through various awards. His diverse experience and technical skills position him as a leading researcher in his field. Addressing areas for improvement, such as fostering broader collaboration and exploring interdisciplinary applications, could further amplify his impact and contribute to even greater advancements in optical technologies.

✍️Publications Top Note :

1. Analysis and Reduction of Back-Reflection Straylight in Laser Ranging System

Journal: Measurement: Journal of the International Measurement Confederation

Publication Date: 2024

DOI: 10.1016/j.measurement.2024.114907

EID: 2-s2.0-85193820422

ISSN: 02632241

Contributors: Zhou, L.; He, Z.; Li, H.; Ye, S.; Zhou, C.; Han, X.; Wu, X.; Lin, X.; Li, M.

2. Efficiency Testing Method for the Echo Receiving System of Laser Ranging Station

Journal: Optics and Lasers in Engineering

Publication Date: 2024

DOI: 10.1016/j.optlaseng.2024.108061

EID: 2-s2.0-85183993949

ISSN: 01438166

Contributors: Zhou, L.; Han, X.; Ye, S.; Lin, X.; Zhao, H.; Zhu, T.; Li, M.

3. Near-Infrared Lunar Laser Ranging: Research on Pointing Error of Lunokhod 2 Corner Reflector Based on Effective Echo Signal Broadening

Journal: Infrared Physics and Technology

Publication Date: 2024

DOI: 10.1016/j.infrared.2023.105095

EID: 2-s2.0-85182388535

ISSN: 13504495

Contributors: Gao, T.; Xue, L.; Ye, S.

4. Enlarge the Dynamic Range of Shack-Hartmann Wavefront Sensor Based on Biplanar Image Acquisition and Segmentation Method

Journal: Optics and Lasers in Engineering

Publication Date: November 2024

DOI: 10.1016/j.optlaseng.2024.108443

Contributors: Shaowei Ye; Ming Li; Lixiang Zhou; Tianlin Zhu; Xin Li; Xida Han; Xianglin Wu; Xudong Lin