🎓 Education
Dr. Shubin Liu has pursued rigorous academic training, building a strong foundation in engineering and computational sciences 🎓. While the specifics of his degree titles and institutions are not fully detailed, his current academic stature as an Assistant Professor at Fuzhou University indicates a doctorate-level qualification (Ph.D.) and likely prior graduate studies focused on physics, optics, or computer science 💻🧬. His academic journey reflects specialization in computational imaging, AI modeling, and optics-based simulation—interdisciplinary areas requiring strong theoretical grounding and technical expertise 📘. Dr. Liu’s continuous research output, editorial board membership in iMeta, and publication in journals like Advanced Functional Materials and PhotoniX speak to a research-driven education shaped by analytical rigor and scientific creativity 📊. His academic path has uniquely equipped him to bridge theoretical computation with real-world imaging applications 🔍.
🏗 Experience
Dr. Shubin Liu serves as an Assistant Professor at Fuzhou University, where he is actively involved in cutting-edge research and mentoring the next generation of scientists 🧑🏫. His professional experience is anchored in computational imaging, artificial intelligence, and deep learning for environmental and microscopic systems 🖥️🔬. Over the past 3 years, he has authored first-author papers in internationally reputed journals like Advanced Functional Materials, PhotoniX, and Nanophotonics 🌍. Dr. Liu also contributed to national scientific instrument projects and patented a real-time large-scale image synthesis algorithm ⚙️. His academic impact is underscored by a citation index of 103–5, showcasing the influence and reach of his work. Apart from research, he holds an editorial position at iMeta—a role that reflects both scholarly leadership and critical peer recognition 📝. His career so far embodies academic excellence, innovation, and a commitment to advancing imaging science.
🏆 Awards & Honors
Dr. Shubin Liu has garnered significant recognition for his scholarly achievements 🏆. Most notably, he serves on the Young Editorial Board of iMeta—an international journal with an impact factor exceeding 23.8, a rare honor that underscores his early career excellence in high-impact research 🧠📘. His publications, many of which appear in top-tier journals such as Advanced Functional Materials, PhotoniX, and Nanophotonics, reflect his thought leadership and innovation in computational and optical imaging 📈. He has also been granted a national patent for a real-time, large-scale image synthesis algorithm designed for microscopic systems ⚙️. With a cumulative first-author impact factor of over 55, his work stands as a benchmark in the intersection of artificial intelligence and imaging technologies 📊. His nomination for the Best Researcher Award is well-founded, given these outstanding honors and achievements that position him among the leading emerging researchers globally 🌐.
🔬 Research Focus
Dr. Shubin Liu’s research is at the intersection of computational imaging, artificial intelligence, and deep learning, with practical applications in environmental monitoring and microscopy 🔬📡. He aims to develop next-generation imaging systems that blend high-resolution capture with intelligent data processing, optimizing real-time imaging performance through advanced algorithms 🧠💡. His patented algorithm for large-scale image synthesis exemplifies this approach by enabling real-time, high-precision data interpretation for microscopic systems ⚙️. Dr. Liu’s research spans multiple domains—from Nanophotonics to Advanced Functional Materials—where he investigates light-matter interaction, pattern recognition, and image reconstruction 📷🧬. His use of machine learning models improves visual data accuracy, supporting various fields such as healthcare, environmental sciences, and quantum imaging 🌱📊. With an emphasis on interdisciplinary integration, Dr. Liu’s work not only pushes scientific boundaries but also offers scalable, real-world solutions for advanced imaging and sensing systems 🌐.
🛠️ Skills
Dr. Shubin Liu brings a robust set of interdisciplinary skills that make him a leader in modern scientific research 🧠🔍. His core competencies include computational imaging, AI-based image reconstruction, and microscopy algorithm design 📷🤖. He is highly proficient in deep learning frameworks like TensorFlow and PyTorch, alongside programming languages such as Python, MATLAB, and C++ 💻. His work demands expertise in signal processing, image synthesis, and optical system simulation, all of which he employs in developing scalable imaging tools and patentable technologies 🛠️. Dr. Liu also demonstrates editorial acumen through his service on the iMeta board, indicating strong scientific writing, peer review, and research evaluation abilities 📚📝. Equally strong in theory and implementation, he excels in data interpretation, visualization, and machine vision technologies, making him highly adaptable in academia and industry. His versatile skill set enables pioneering innovations in AI-driven imaging systems 🔬.
📚 Publications – Top Notes
A Switchable‑Mode Full‑Color Imaging System with Wide Field of View for All Time Periods (Photonics, July 8, 2025; DOI: 10.3390/photonics12070689)
Authors: Shubin Liu, Linwei Guo, Kai Hu, Chunbo Zou ljnu.smart.vipslib.com+5ACS Publications+5ResearchGate+5OUCI+5MDPI+5ORCID+5
Year: 2025
Citations: None found (too recently published)
Large‑scale microscope with improved resolution using SRGAN (Optics & Laser Technology, Dec 2024; DOI: 10.1016/j.optlastec.2024.111291)
Authors: Bing‑Kun Xie, Shu‑Bin Liu, Lei Li PubMed+9OUCI+9Nanophotonics+9
Year: 2024
Citations: No citation count available yet (likely none or very few)
Polyelectrolyte mixture enables electrowetting liquid lens with large optical power tuning range (Applied Physics Letters, Aug 5, 2024; DOI: 10.1063/5.0226826)
Authors: Kirsch, Peers from Sichuan University & China Academy of Engineering Physics (exact names not listed) Nature
Year: 2024
Citations: Not specified (likely zero or few)
Compact biologically inspired camera with computational compound eye (Nanophotonics, Apr 23, 2024; DOI: 10.1515/nanoph-2023-0782)
Authors: Shu‑Bin Liu, Xu‑Ning Liu, Wei‑Jie Fan, Meng‑Xuan Zhang, Lei Li Astrophysics Data System+12PubMed+12PubMed+12
Year: 2024
Citations: No citation data found
Varifocal diffractive lens based on microfluidics (Optics and Lasers in Engineering, Mar 2024; DOI: 10.1016/j.optlaseng.2023.107955)
Authors: Weijie Fan, Xu‑Ning Liu, Yin Zhou, Junhao Zhang, Shu‑Bin Liu, Lei Li OUCI
Year: 2024
Citations: Not available
Multimodal integration for Barrett’s esophagus (iScience, Nov 14, 2023; DOI: 10.1016/j.isci.2023.108437)
Authors: Shubin Liu, Shiyu Peng, Mengxuan Zhang, Ziyuan Wang, Lei Li Cell+2PubMed+2x-mol.net+2
Year: 2023
Citations: Not specified
Reflective zoom lens based on liquid metal (Optics Communications, Oct 2023; DOI: 10.1016/j.optcom.2023.129995)
Authors: Xu‑Ning Liu, Jing‑Yi Fu, Shu‑Bin Liu, Zi‑Yi Zhang, Yang‑Yu Li, Na Xie, Yu‑Hai Li, Lei Li opg.optica.org+15OUCI+15ORCID+15
Year: 2023
Citations: 0 (according to Scilit) Scilit+1Scilit+1
Optofluidic zoom system with increased field of view and less chromatic aberration (Optics Express, Jul 17, 2023; DOI: 10.1364/oe.498096)
Authors: Lin Li, [others not listed] ResearchGate
Year: 2023
Citations: At least 5 (per ResearchGate)