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)

Bablu Karan | Education | Best Researcher Award

Dr. Bablu Karan | Education | Best Researcher Award

PhD in Education, Central University of Gujarat, India

Dr. Bablu Karan is a dedicated educator and researcher at the Central University of Gujarat, Gandhinagar, specializing in educational technology and curriculum studies. His work focuses on integrating artificial intelligence into secondary education in India, aiming to enhance teaching and learning experiences.

Profile

Google Scholar

📚 Education:

Dr. Bablu Karan holds a PhD in Education from the Central University of Gujarat, Gandhinagar. He earned his M.Ed. from Visva-Bharati University, Santiniketan, and a B.Ed. from RIE-NCERT, Bhubaneswar. He also holds an M.A. in English from Ravenshaw University and a B.A. in English Hons from Vidyasagar University.

👨‍🏫 Experience:

Dr. Bablu Karan has extensive experience in educational research and policy formulation. His professional journey includes significant contributions to understanding AI in education, educational policies, and curriculum studies.

🔍 Research Interests:

Dr. Bablu Karan’s research interests span educational technology, AI in education (AIED), ICT, educational policies, curriculum studies, and language education. He is particularly interested in how these areas intersect to improve educational outcomes in diverse contexts.

🏆 Awards:

Recipient of the Best Researcher Award, Dr. Bablu Karan is recognized for his pioneering research in integrating AI into school education and his contributions to educational policy and curriculum development in India.

Publications:

Artificial Intelligence Integration into School Education: A Review of Indian and Foreign Perspectives (2023, Millennial Asia) – Cited by 6

Potential Risks of Artificial Intelligence Integration into School Education: A Systematic Review (2023, Bulletin of Science, Technology & Society) – Cited by 4

Enhancing Women Education in India: An Immense Challenge Towards Effective Human Rights (2017, International Education & Research Journal) – Cited by 2

Promoting Gender Equality in Classroom Teaching and Learning in Indian Context: Issues and Challenges (2017, International Journal of Multidisciplinary Approach & Studies) – Cited by 1

Integration of artificial intelligence by the Central Board of Secondary Education in India: towards innovative teaching and learning practices (2024, Technology, Pedagogy and Education)