Dr. Xiaojuan Pang | Technologies | Best Researcher Award

Dr. Xiaojuan Pang | Technologies | Best Researcher Award

lecturer, China University of Mining and Technology, China

Dr. Xiaojuan Pang is a dynamic Chinese computational chemist and academic serving as a Lecturer at the China University of Mining & Technology (CUMT) since 2019. With deep expertise in photochemistry, nonadiabatic dynamics, and photocatalytic hydrogen production, she bridges theoretical innovation and practical application. Her international research exposure includes a pivotal joint doctoral training at the Technical University of Munich under Prof. Wolfgang Domcke, positioning her as a global voice in computational reaction mechanism studies. 🌍

Publication Profile

ORCID

🎓 Education Background

Dr. Pang earned her Bachelor’s degree in Physics from Xinzhou Teachers University in 2013 🎓. She continued her academic journey with a Doctorate in Physics from Xi’an Jiaotong University (2013–2019), where she explored ultrafast photochemical mechanisms. Her international academic footprint includes a prestigious year (2017–2018) at the Technical University of Munich. She is currently undertaking a postdoctoral fellowship (since 2025) in a two-station program, co-hosted by CUMT and Zhejiang Changshan Textile Co., Ltd., further sharpening her cross-disciplinary skills in mining and material science. 📘🧪

👩‍🏫 Professional Experience

Dr. Pang began her academic career as a Lecturer in the Department of Physics at CUMT in 2019. She plays a vital role in teaching, curriculum reform, and scientific mentorship. Her involvement spans several cutting-edge research projects, including multiple national and provincial grants where she serves as Principal Investigator. She also collaborates with industrial partners to apply her research in real-world contexts, especially in energy materials and ultrafast dynamics. 🏫🧑‍🔬

🏅 Awards and Honors

Dr. Pang has garnered numerous accolades for her academic and teaching excellence. Highlights include the Outstanding Young Core Faculty Award (2024), Jiangsu “Double-Innovation Doctor” Talent Award (2020), and multiple teaching competition prizes. She has also been recognized as an Outstanding Communist Party Member, Outstanding Head Teacher, and earned three consecutive years of top annual performance ratings from 2020 to 2023. 🏆🎖️

🔍 Research Focus

Her core research explores the reaction mechanisms in photocatalytic water splitting, photoisomerization of molecular motors, and ultrafast nonadiabatic photochemical processes. Dr. Pang utilizes a powerful combination of computational tools—like Gaussian, Turbomole, and MNDO—to simulate and analyze excited-state dynamics. Her work significantly contributes to the development of efficient solar-to-hydrogen energy conversion technologies and light-driven molecular machines. 💡⚛️

🧩 Conclusion

With an impressive blend of academic rigor, international exposure, innovative research, and award-winning teaching, Dr. Xiaojuan Pang stands as a rising star in computational chemistry and photophysics. Her ongoing work at the intersection of theory and application is paving the way for advances in sustainable energy and smart molecular systems. 🚀

📚 Top Publications

Nonadiabatic Surface Hopping Dynamics of Photo-catalytic Water Splitting Process with Heptazine–(H2O)4 Chromophore
🔹Cited by: [Articles on MDPI and Google Scholar]

Study on the Photoinduced Isomerization Mechanism of Hydrazone Derivatives Molecular Switch
🔹Cited by: [Relevant studies in ACS database]

Effect of Load-Resisting Force on Photoisomerization Mechanism of a Single Second Generation Light-Driven Molecular Rotary Motor
🔹Cited by: [AIP citations and Scholar references]

Ultrafast Nonadiabatic Photoisomerization Dynamics Study of Molecular Motor Based on Indanylidene Frameworks
🔹Cited by: [CrossRef, ScienceDirect]

Photoinduced Electron-Driven Proton Transfer from Water to N-Heterocyclic Chromophore
🔹Cited by: 40+ citations (Google Scholar, Scopus)

Watching the Dark State in Ultrafast Nonadiabatic Photoisomerization of Light-Driven Motor
🔹Cited by: 70+ citations (ResearchGate, Google Scholar)

Iana Fominska | Technologies | Digital Arts and Entertainment Award

Dr. Iana Fominska | Technologies | Digital Arts and Entertainment Award

PhD student, University of Macerata, Italy

Iana Fominska is a dedicated PhD student at the University of Macerata (UniMC) with a multidisciplinary academic background spanning economics, neuroscience, and education. 📚 Her journey has combined research excellence with a strong professional portfolio in administrative, educational, and ICT sectors. Passionate about blending innovation and education, Iana’s work focuses on integrating emotional computing, AI, and cutting-edge technologies to enhance museum experiences and foster cultural heritage preservation. 🌍 Her achievements in multilingual content creation and market analysis highlight her ability to bridge the gap between academia and real-world applications.

Publication Profile

ORCID

Education 🎓

Iana Fominska holds a diverse academic portfolio: a Bachelor’s in Economics (Kyiv National University, 2007-2020), a Master’s in Cyber Economy (Kyiv National University, 2022), and degrees in Nursing (2010-2013) and Wellness Science (2016). Additionally, she earned a PhD in Neurosciences and Informatics (2019) and is currently pursuing another PhD in Teaching & Learning Sciences (2023). 🎓 Her educational journey reflects a deep commitment to interdisciplinary research and lifelong learning.

Experience 💼

With extensive experience managing administrative, educational, and marketing projects, Iana has excelled in the beauty, legal medicine, and ICT sectors. 🏢 Her expertise spans multilingual content creation, market analysis, and scholarship achievements. Notably, she has collaborated with Ukrainian institutions on developing advanced Decision Support Systems (DSS) for museums, showcasing her ability to apply technological solutions to cultural heritage and education.

Research Interests 🔬

Iana’s research focuses on enhancing museum education and cultural heritage management through technologies like AI, emotional computing, and Decision Support Systems. 🧠 She aims to create innovative, inclusive environments that improve personalized learning experiences in museums. Her work explores blockchain, NFTs, and digital transformation methodologies to propose adaptive and engaging solutions for cultural consumption in Italy and beyond. 🌐

Awards 🏆

Iana Fominska has been recognized with multiple scholarships for academic excellence throughout her academic journey. 🎖️ Her innovative contributions to multidisciplinary research and technology-driven educational models have garnered accolades in the fields of cultural heritage, education, and ICT.

Publications 📚

“Leveraging Emotional Computing in Museum Education” – Published in International Journal of Cultural Heritage Studies (2021). Cited by 12 articles. Link to article

“Decision Support Systems for Cultural Assets” – Published in Journal of Digital Transformation in Heritage Management (2022). Cited by 15 articles. Link to article

“Blockchain Integration for Cultural Preservation” – Published in Technology and Heritage Quarterly (2023). Cited by 8 articles. Link to article