Dr. Xiaojuan Pang | Technologies | Best Researcher Award

Posted on by sciencefather

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)

Mrs. Micheline Sabiteka | Technologies | Best Researcher Award

Posted on by sciencefather

Mrs. Micheline Sabiteka | Technologies | Best Researcher Award

PhD Candidate, Central China Normal University, China

SABITEKA Micheline is a passionate academic and emerging researcher in the field of Educational Technology and Artificial Intelligence in Education. She is currently pursuing her Ph.D. at the Central China Normal University Wollongong Joint Institute, Faculty of Artificial Intelligence in Education. Alongside her doctoral journey, she contributes as an Assistant Lecturer at École Normale Supérieure de Bujumbura. With a strong foundation in applied pedagogy, she is dedicated to fostering technological innovations in teaching and learning, especially for developing countries 🌍💻.

Publication Profile

ORCID

🎓Education Background

Micheline holds a Bachelor’s degree in Applied Pedagogy with a Chemistry specialization from the University of Burundi (2015). She completed her Master’s in Engineering and Technology for Education and Training from Université Hassan II de Casablanca, Morocco (2018), focusing on ICT integration in university teaching. Currently, she is a Ph.D. candidate in Education Technology at Central China Normal University, Wuhan, China, researching the identification and adoption of educational technologies in developing countries 📘🔬.

👩‍🏫Professional Experience

She has served as an Assistant Lecturer at École Normale Supérieure de Bujumbura from 2019 to 2022, playing a crucial role in educational transformation. She was also a key researcher for the “Demographics of African Faculty in the East African Community (DAF EAC)” Project from 2021 to 2022. In 2022, she contributed significantly to UNESCO’s “ECOLE A DOMICILE Burundi” project, designing and managing online learning courses 🎓🌐.

🏅Awards and Honors

SABITEKA Micheline’s academic journey is marked by her involvement in international research and contribution to global discussions. She has published in leading journals like Sustainability and IEEE. Her editorial service includes reviewing manuscripts for the journal Education and Information Technologies. She has also authored two patents and is gaining recognition for her work in educational technology innovation 🏆📜.

🔬Research Focus

Her primary research interests include Educational Technologies, Artificial Intelligence for Education, and the Technological Pedagogical Content Knowledge (TPACK) framework. Her work focuses on sustainable educational strategies and the implementation of emerging technologies like Augmented and Virtual Reality in developing nations’ higher education systems 🤖📚.

✅Conclusion

SABITEKA Micheline is a dedicated researcher and educator whose work bridges innovative technology with practical pedagogy in under-resourced contexts. Through her academic excellence, field experience, and publication record, she continues to advocate for inclusive and transformative education systems in developing countries 🌏✨.

📘Top Publications 

Toward Sustainable Education: A Contextualized Model for Educational Technology Adoption for Developing Countries – Sustainability, 2025.
Cited by: 2 articles

Adoption of Teaching Strategies Leveraging on Augmented Reality & Virtual Reality in Higher Education in Less Developing Countries: A Case of BURUNDI – IEEE Conference on Intelligent Education and Intelligent Research (IEIR), 2023.
Cited by: 2 articles

Murad Njoum | CyberSecurity | Cybersecurity Achievement Award

Posted on by sciencefather

Dr. Murad Njoum | CyberSecurity | Cybersecurity Achievement Award

Lecturer, BirZeit University, Palestine, State of

📘 Murad Subhi Njoum is a dedicated lecturer in the Computer Science Department at Birzeit University, known for his expertise in data structures, Java programming, and cybersecurity. With over a decade of teaching experience, he has developed courses that engage students in programming and foundational computer science concepts. Murad is currently pursuing a Ph.D. in Computer Science at UKM, Malaysia, where he specializes in the field of steganography within cybersecurity, having published several papers that contribute to advancements in data security.

Publication Profile

Google Scholar

Education:

🎓 Murad holds a Master’s degree in Scientific Computing with a focus on Computer Science, graduating with distinction. His academic journey continues as a Ph.D. candidate at Universiti Kebangsaan Malaysia (UKM), Malaysia, where he expands his research on steganography and data security.

Experience:

👨‍🏫 With over ten years of teaching experience, Murad has instructed courses in data structures, Java programming, and cybersecurity, and has provided foundational knowledge in Linux, C programming, and introductory computer science. His role at Birzeit University allows him to contribute to the academic growth of his students while fostering a collaborative learning environment.

Research Focus:

🔍 Murad’s primary research focus lies in steganography within cybersecurity, exploring innovative techniques for enhancing data security. His ongoing research aims to develop new methods that improve the reliability and security of steganographic techniques, contributing to the broader field of secure information technology.

Awards and Honors:

🏆 Throughout his career, Murad has achieved significant recognition in the academic field, notably for his contributions to cybersecurity and education. He continues to strive for excellence in both research and teaching.

Publication Top Notes:

“Steganographic Techniques in Secure Data Transmission,” Journal of Information Security, 2021, focusing on improved data concealment methodologies. Cited by various articles in the field for its technical advancement in data security.

“Applications of Steganography in Cybersecurity,” Cybersecurity Journal, 2022, discussing practical implementations of steganography for enhanced data protection. Recognized widely for its relevance to practical applications in secure data handling.

“Innovations in Data Concealment Using Steganographic Methods,” Security and Data Privacy, 2023, detailing advancements in steganography. Cited frequently for its contributions to modern steganographic applications and data privacy measures.

 

Zongbao Jiang | Cybersecurity | Best Researcher Award

Posted on by sciencefather

Mr. Zongbao Jiang | Cybersecurity | Best Researcher Award

Under postgraduate, Engineering University of People’s Armed Police, China

📘 Zongbao Jiang is an emerging researcher specializing in computer technology at the Engineering University of People’s Armed Police. His research focuses on reversible data hiding techniques, aiming to improve embedding capacity, security, and applicability. Through innovative methods, Jiang enhances data hiding performance, ensuring the integrity and confidentiality of original content. Actively collaborating with peers and participating in workshops, he stays abreast of the latest advancements in his field.

Profile

Scopus

 

🎓 Education:

Zongbao Jiang is currently an undergraduate at the Engineering University of People’s Armed Police, where he delves into computer technology and data security. His academic journey is marked by rigorous research and a strong foundation in information security.

💼 Experience:

Zongbao Jiang has participated in a project funded by the National Natural Science Foundation of China, collaborating with notable researchers like Minqing Zhang. He has successfully published papers in top-tier journals and conferences, demonstrating his expertise and contribution to the field of computer technology.

🔬 Research Interests:

Zongbao Jiang’s research interests revolve around information security and reversible data hiding techniques. His work focuses on enhancing performance metrics such as embedding capacity and security while maintaining the confidentiality of original content. Jiang’s innovative approach aims to develop robust solutions for secure communications and data preservation.

🏆 Awards:

Zongbao Jiang has made significant contributions to his field, evidenced by his publications in high-impact journals and conferences. He holds three authorized software copyrights and has a patent under review. His work in reversible data hiding techniques has earned him recognition in the academic community.

Publications

Reversible Data Hiding Algorithm in Encrypted Images Based on Adaptive Median Edge Detection and Matrix-Based Secret Sharing
Link to article
Reversible Data Hiding in Encrypted Images based on Classic McEliece Cryptosystem
Link to article
Reversible Data Hiding Algorithm in Encrypted Domain Based on Matrix Secret Sharing
Link to article