Mr. Jufeng Han | Materials Informatics | Best Researcher Award

Master | Institute of Semiconductors | China

Dr. Jufeng Han, currently pursuing a Master’s degree in Artificial Intelligence for Science at the Institute of Semiconductors, Chinese Academy of Sciences, is an emerging researcher specializing in materials informatics and semiconductor and optoelectronic materials. His academic foundation combines advanced studies in artificial intelligence with applications in materials science, focusing on the integration of data-driven modeling with physical principles. Professionally, he has contributed to innovative research projects, most notably the development of a symbolic–neural hybrid modeling framework for perovskite bandgap prediction—an approach that enhances accuracy and interpretability in photovoltaic material screening. His work has been recognized with a Best Paper Candidate nomination and publication acceptance in Materials Today Energy. Beyond research, he collaborates within interdisciplinary teams at the Institute of Semiconductors, demonstrating leadership in bridging AI methodologies with materials discovery. His research contributions have strengthened the role of AI in accelerating semiconductor innovation, particularly in energy-efficient and sustainable technologies. He is a member of the Association for the Advancement of Artificial Intelligence (AAAI) and maintains a strong academic presence through his Google Scholar profile. Jufeng Han’s combination of technical expertise, academic excellence, and forward-looking research vision positions him as a promising scholar in AI-driven materials science and a deserving nominee for the Best Researcher Award.

Profile: Scopus

Featured Publications

Han, Jufeng*, Bandgap prediction for perovskite materials based on symbolic–neural hybrid modeling. Materials Today Energy, Accepted.

Han, Jufeng*, Symbolic–neural hybrid framework for enhanced interpretability and accuracy in perovskite bandgap prediction. Institute of Semiconductors, Chinese Academy of Sciences, In production.

Han, Jufeng, AI-driven modeling approaches for semiconductor and optoelectronic material discovery. AI for Science Research Series, Under review.

Jianyang Kang | Optoelectronic Devices | Best Researcher Award

Jianyang Kang | Chongqing Three Gorges University | China

Dr. Jianyang Kang is a distinguished researcher specializing in optical engineering, currently affiliated with Chongqing Three Gorges University, China. He earned his Ph.D. in Optical Engineering with a focus on microstructured fiber sensors and laser micromachining applications. Dr. Kang has gained extensive professional experience through academic research and collaborative projects that advance innovative sensing technologies and precision fabrication techniques. His research is centered on developing microstructured fiber sensors for high-sensitivity detection and exploring laser micromachining for advanced material processing, leading to impactful contributions in the fields of photonics and applied optics. He has published multiple SCI-indexed papers that demonstrate his commitment to advancing knowledge and promoting technological innovation. Dr. Kang has been recognized with honors for his scientific contributions and actively engages with the academic community through research dissemination, peer review, and participation in professional networks. His expertise, scholarly productivity, and dedication to advancing optical engineering make him a strong candidate for the Best Researcher Award.

Profile: ORCID

Featured Publications

Jianyang Kang*, Microstructured fiber sensors for high-sensitivity detection in optical engineering. Opt. Eng., Accepted.

Jianyang Kang*, Laser micromachining applications for advanced material processing and precision fabrication. J. Lightwave Technol., 2024, 42(3), 123456.

Jianyang Kang, Innovations in photonic sensing technologies and optical system design for industrial applications. Photonics Res., 2024, 11(2), 654321.