Teacher at Xiangtan University, China
Dr. Boxun Li is an Associate Professor at Xiangtan University, China, specializing in micro-nano optical device design and deep learning-based inverse design techniques. With a Ph.D. in optics-related fields, he has emerged as a leading researcher, contributing to cutting-edge advances in photonic devices, metamaterials, and terahertz absorbers. Dr. Li has published over 22 SCI-indexed papers as the first or corresponding author, illustrating both consistency and innovation in his field. His interdisciplinary approach merges computational intelligence with photonics, creating a unique research niche that aligns with the future of smart optical engineering and quantum device design.
Profile
Scopus
🎓 Early Academic Pursuits
Dr. Boxun Li began his academic journey with a deep passion for optics and photonics, which guided his undergraduate and graduate studies. His doctoral work laid a strong theoretical and practical foundation in optical physics, nanostructures, and simulation-based design methods. Early in his career, Dr. Li demonstrated a keen interest in innovative sensor design, contributing to foundational studies in photonic crystal fibers and optical simulations. These formative years not only built his research skills but also ignited his interest in applying artificial intelligence to solve inverse problems in complex optical systems.
🧑🏫 Professional Endeavors
Since joining Xiangtan University as an Associate Professor, Dr. Li has engaged in multidisciplinary research integrating optical engineering, materials science, and deep learning. His professional pursuits are centered on the inverse design of optical devices using neural networks and algorithmic frameworks. He has taken leadership in publishing in respected journals such as Physica B, Physica E, and Current Applied Physics. In addition to research, Dr. Li contributes to academic service through mentoring students, organizing seminars, and collaborating across departments, aiming to create a synergistic academic ecosystem within the university and beyond.
🔬 Contributions and Research Focus
Dr. Li’s research significantly advances micro-nano photonic technologies. He focuses on deep learning-assisted inverse design, where AI is used to generate highly optimized and compact photonic structures. His work includes graphene terahertz metamaterials, SPR-based fiber sensors, VO₂ multilayer nanostructures for camouflage, and perovskite-based solar cells. These studies demonstrate his methodological innovation and real-world application potential. Dr. Li’s interdisciplinary expertise enables him to explore thermal, optical, and electronic interactions at the nano-scale, with an emphasis on energy harvesting, sensing, and functional smart surfaces, making his research highly relevant to both academia and industry.
🌍 Impact and Influence
Dr. Li’s work has been cited by numerous researchers worldwide, especially in the domains of metamaterials, energy-efficient devices, and optical sensors. With citations growing steadily, key papers have influenced subfields such as terahertz absorption, photonic crystal fibers, and dual-band camouflage systems. His integration of machine learning into physical design frameworks positions him as a pioneer in data-driven optical device engineering. Furthermore, his contributions are beginning to shape how inverse problem-solving is approached in quantum optics and nanophotonics, proving his work to be both timely and transformative in high-tech fields.
📚 Academic Cites
Dr. Li’s body of work currently garners over 35 citations across five major publications from 2025 alone, including:
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13 citations for his work in graphene-based THz absorbers
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12 citations on perovskite solar cell simulations
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9 citations on polarization-sensitive metamaterials
Each paper reflects practical relevance, academic originality, and technical sophistication. These citations reflect growing engagement from global researchers in condensed matter, optical engineering, and applied physics. As more articles are indexed, Dr. Li’s citation count and research reputation are expected to expand, particularly in AI-enhanced optical simulations and quantum-inspired device architectures.
🧪 Research Skills
Dr. Li’s technical proficiency spans nanophotonics, electromagnetic simulation, terahertz technologies, SPR sensors, and AI-driven design models. He is highly skilled in tools like COMSOL, Lumerical, and Python-based deep learning platforms for modeling and optimization. His capacity to combine physical intuition with computational algorithms allows him to solve complex inverse problems, design novel device geometries, and predict device performance with high precision. His research approach is data-centric, experimentally relevant, and solution-oriented, making him an asset to collaborative, high-impact projects across photonics, materials, and electronics.
👨🏫 Teaching Experience
As a committed educator, Dr. Li teaches advanced undergraduate and graduate-level courses in optical device engineering, computational physics, and nanostructure design. His teaching style emphasizes active learning, project-based education, and industry-aligned skills. Dr. Li has supervised undergraduate theses, graduate research projects, and offers mentorship in research writing and publication strategy. He incorporates his real-time research insights into the classroom, encouraging students to engage with current scientific challenges and solutions. His dual role as researcher and mentor helps students build a solid foundation in both theoretical optics and applied nanotechnology.
🔮 Legacy and Future Contributions
Dr. Boxun Li is poised to leave a lasting impact on the field of AI-integrated photonic design. By bridging deep learning and device engineering, he is redefining how future optical systems can be developed faster, smarter, and more cost-effective. He aims to build a research hub that nurtures innovation in inverse design, quantum photonic platforms, and functional optical materials. His future contributions are expected to span green energy, wearable optics, and adaptive camouflage technologies. With sustained focus and global collaboration, Dr. Li will solidify a legacy of innovation, shaping the future of smart photonics.
Publications Top Notes
Structural design and analysis of D-type elliptical open-loop photonic crystal fiber temperature sensor based on SPR
Graphene terahertz metamaterials absorber with multiple absorption peaks and adjustable incident polarization angle
Phase-transition-enabled dual-band camouflage in VO₂/Ag multilayered nanostructures
Photoelectric simulation of perovskite solar cells based on two inverted pyramid structures
Design and application of multi-absorption and highly sensitive monolayer graphene microstructure absorption devices located at terahertz frequencies