Mrs. Micheline Sabiteka | Technologies | Best Researcher Award

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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

sandeep rawat | Technologies | Best Scholar Award

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Mr. sandeep rawat | Technologies | Best Scholar Award 

JRF, UPES Dehradun, India

🌟 Sandeep Rawat is an accomplished academic and researcher specializing in electrical engineering, energy storage systems, and renewable energy technologies. Currently pursuing a Ph.D. at UPES, he has a solid foundation in Power Systems and Electrical and Electronics Engineering. With extensive teaching experience at Uttaranchal University and active participation in various professional roles, Sandeep has made significant contributions to research in lithium-ion batteries and solar PV systems. 📚💡

Publication Profile

Google Scholar

 

Strengths for the Award

  1. Relevant Research Experience:
    • Sandeep Rawat has focused on cutting-edge areas in renewable energy, including lithium-ion batteries and solar PV systems. His research on energy storage systems and the effects of shading on solar panels is highly relevant and timely.
  2. Academic Background:
    • His educational qualifications include a PhD in progress, an M.Tech in Power Systems, and a B.Tech in Electrical and Electronics Engineering, providing a strong technical foundation.
  3. Research Publications:
    • He has authored and contributed to several publications in reputable journals and conferences, such as Springer and IEEE, showcasing his active involvement in the research community. The variety and relevance of his publications reflect a deep engagement with current issues in his field.
  4. Teaching and Mentoring Experience:
    • Sandeep has significant teaching experience as a Senior Lecturer and has supervised multiple academic projects. His role as a coordinator and NAAC criteria member highlights his leadership and organizational skills.
  5. Professional Development:
    • His participation in various seminars, webinars, and faculty development programs demonstrates a commitment to ongoing professional growth and staying updated with advancements in his field.

Areas for Improvement

  1. Research Impact and Recognition:
    • While he has published several papers, increasing the impact and visibility of his research could enhance his profile. Greater focus on high-impact journals or more collaborative projects with renowned researchers might be beneficial.
  2. Awards and Honors:
    • The CV does not mention any significant awards or recognitions received. Gaining such accolades or achieving notable milestones in research could strengthen his application.
  3. Publication Diversity:
    • Expanding the diversity of publication venues, including higher-impact journals and international collaborations, could further enhance his academic profile.

 

Education

🎓 Sandeep Rawat is currently pursuing his Ph.D. at the University of Petroleum and Energy Studies (UPES), focusing on Lithium-ion battery safety characterization. He holds an M.Tech in Power Systems from Kurukshetra University (2020) and a B.Tech in Electrical and Electronics Engineering from Uttarakhand Technical University (2013). His earlier education includes CBSE certifications in PCMB and Science with notable academic performance. 📊🔋

Experience

👨‍🏫 Sandeep Rawat is a Senior Lecturer in the Electrical Department at University Polytechnic, Uttaranchal University, where he has been shaping young minds since 2014. He is also the Department Coordinator, a Member of the Board of Studies, a NAAC Coordinator for Criteria 1, and a Member of the University Alumni Association. His expertise spans over a decade in academia, project supervision, and research. 🏆📈

Research Focus

🔬 Sandeep’s research interests encompass Lithium-ion batteries, the effects of electrical abuses on battery performance, and innovative configurations for optimizing solar PV panels under partial shading. His studies aim to enhance the efficiency and safety of energy storage systems and solar energy applications. ☀️🔋

Awards and Honors

🏅 Sandeep Rawat has supervised projects that have won accolades, such as the First Prize in Innovative Technology at SIT College, Dehradun. His active involvement in various academic and research committees demonstrates his commitment to advancing education and technology. 🏆🎓

Publications Top Notes

📑 Sandeep has published several notable research papers, including studies on solar PV configurations and advancements in lithium-ion batteries. His work has been featured in reputable conferences and journals, contributing valuable insights to the fields of renewable energy and battery safety. 🌍🔋

“Experimental study of solar PV array configuration under Partial Shading Effects,” published in the Springer Conference (HSFEA) at UPES Dehradun.

“Shade dispersion using TCT configuration in Solar PV array under non-uniform irradiation,” published in IEEE Conference (ICACSE) at KNIT Sultanpur UP.

“Development of IoT based data acquisition system for real-time monitoring of solar PV system,” published as a book chapter in Taylor and Francis (CRC), in the book Applied Soft Computing and Embedded System Applications in Solar Energy.

“PV module Reconfigurable approach using SM for Power loss reduction under Detrimental Shadowing Conditions.”

“Advancements and Current Developments in Integrated System Architectures of Lithium-Ion Batteries for Electric Mobility,” Published in WEVJ, 2022.

“Advanced Monitoring and Real-Time State of Temperature Prediction in Lithium-Ion Cells under Abusive Discharge Conditions using Data-Driven Modeling,” accepted in the Future Transportation Journal.

Conclusion

Sandeep Rawat is a strong candidate for the Research for Best Scholar Award due to his relevant research focus, substantial academic experience, and active involvement in teaching and professional development. His research in renewable energy, especially in lithium-ion batteries and solar PV systems, is both pertinent and impactful. To further bolster his candidacy, increasing the visibility and impact of his research, seeking prestigious awards, and diversifying publication venues could be advantageous. Overall, his dedication and contributions to the field make him a noteworthy contender for the award.

 

Zhizhen Chen | Computer Science | Best Researcher Award

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Dr. Zhizhen Chen | Computer Science | Best Researcher Award

Senior Lecturer, University of Greenwich, United Kingdom

🎓 Dr. Zhizhen Chen is a dedicated academic professional serving as a Senior Lecturer in Finance at the University of Greenwich since 2017. With a rich background in finance and economics, Dr. Chen brings extensive experience from both academia and industry. His research interests encompass financial markets, risk management, and financial engineering, contributing significantly to several top-tier finance journals. Dr. Chen is also an active peer reviewer and passionate educator, sharing his expertise through innovative courses like Fintech Banking and Financial Engineering and Machine Learning. 🌍📊

Publication Profile

Scopus

Strengths for the Award:

  1. Research Excellence: Dr. Chen has a strong publication record, with multiple articles published in high-impact journals such as “Journal of International Money and Finance” and “Research in International Business and Finance,” both rated 4* in SJR. This demonstrates his capability in producing high-quality research in the field of finance.
  2. Peer Review Activities: He has been a peer reviewer for several prestigious journals since 2016, which showcases his recognition in the academic community and his commitment to advancing knowledge in finance.
  3. Academic and Professional Credentials: Dr. Chen holds a PhD in Finance, is a Fellow of the Higher Education Academy, and has passed CFA Level 1. This combination of academic qualifications and professional certification adds to his credibility and expertise in the field.
  4. Diverse Teaching Portfolio: His teaching experience spans various finance and economics-related courses, demonstrating versatility and a solid understanding of different areas within the field.
  5. Industry Experience: Dr. Chen’s experience as an Investment Analyst and his work with financial institutions provide him with practical insights, enhancing his academic work’s relevance and applicability.
  6. Continuous Professional Development: His commitment to continuous learning and development is evident through his successful completion of the CFA Level 1 exam and his role in ongoing staff development activities.

Areas for Improvement:

  1. Broader Research Impact: While Dr. Chen has a strong record in finance-specific publications, expanding his research impact across other interdisciplinary areas, such as sustainable finance or fintech, could further enhance his profile.
  2. Leadership Roles in Research: Taking on more leadership roles in research projects or academic committees could strengthen his candidacy by demonstrating his influence beyond his individual contributions.
  3. Grants and Funding: Securing research grants or funding is a notable achievement in academia that is not highlighted in the current profile. Pursuing funding opportunities could bolster his research credentials further.

Education

🎓 Dr. Zhizhen Chen holds a PhD in Finance from the University of Glasgow (2018), demonstrating his strong foundation in financial research and education. He is also a Fellow of the Higher Education Academy (2017), a testament to his commitment to teaching excellence, and he earned an MSc in Economics from the University of Wuhan (2012). 📚✨

Experience

🌟 Dr. Chen’s career spans roles as a Senior Lecturer in Finance at the University of Greenwich since 2017, where he excels in teaching and research. His prior experience includes serving as a Research Assistant and Teaching Assistant at the University of Glasgow, and an Investment Analyst at ICBC Wuhan. This blend of academic and industry roles has equipped him with a unique perspective on finance education. 💼💹

Research Focus

🔍 Dr. Chen’s research is focused on financial markets, risk management, securitization, and financial engineering. He actively contributes as a peer reviewer for prestigious journals, including the Journal of International Financial Markets, Institutions & Money, and Finance Research Letters, ensuring rigorous academic standards in the field. 📑🔬

Awards and Honours

🏅 Dr. Chen was recognized as a Fellow of the Higher Education Academy in 2017, highlighting his dedication to teaching excellence. In addition, he passed the CFA Level 1 exam in 2020, demonstrating his commitment to continuous professional development in finance. 🎖️📈

Publication Top Notes

Lin, W., Yan, W., Chen, Z., Xiao, R. (2023). Research on product appearance patent spatial shape recognition for multi-image feature fusion. Multimedia Tools and Applications (SJR 3*).

Xiao, R., Li, G., Chen, Z. (2023). Research progress and prospect of evolutionary many-objective optimization. Control and Decision.

Chen, Z., Liu, H., Peng, J., Zhang, H., Zhou, M. (2022). Securitization and bank efficiency. In: Ferris, S.P., Kose, J., Makhija, A.K., (eds.) Empirical Research in Banking and Corporate Finance. Emerald Publishing Limited.

Conclusion:

Dr. Zhizhen Chen is a suitable candidate for the “Research for Best Researcher Award” due to his significant contributions to the field of finance through high-quality publications, peer-review activities, and professional development. While there is room for growth in interdisciplinary research and leadership roles, his current achievements and ongoing commitment to both academic and professional excellence make him a compelling contender for the award.

Tidjani Négadi | Computer Science | Best Researcher Award

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Dr. Tidjani Négadi | Computer Science | Best Researcher Award

recently retired, Physics Department, Faculty of Exactand Applied Science, University Oran 1 Ahmed Ben Bella, Oran 31100, Algeria,

📅 Born on January 26, 1950, in Tlemcen, Algeria, Tidjani Négadi is a distinguished Maître de Conférence at the Physics Department, Faculty of Exact and Applied Science, University Oran 1 Ahmed Ben Bella, Oran, Algeria. With a profound interest in theoretical and mathematical biology, Négadi has significantly contributed to various fields, especially in exploring the connections between physics and biological systems.

Profile

Google Scholar

Education

🎓 Tidjani Négadi earned his Doctorat de 3ème Cycle in Nuclear Physics in 1976 and a Doctorat d’Etat Es-Science Physiques in Theoretical Physics in 1988, both from the Institut de Physique Nucléaire IN2P3, Université Claude Bernard Lyon-I, France. His extensive education laid the foundation for his interdisciplinary research spanning nuclear physics, theoretical physics, and mathematical biology.

Experience

💼 Négadi’s academic journey began in 1976, teaching Quantum Mechanics and its applications until 1989. He later taught Atomic and Molecular Physics, and Group Theory until 2002, after which he focused solely on research, particularly in Mathematical Biology. His teaching portfolio also includes Special Relativity, Astronomy, and Astrophysics from 2015 to 2018. His editorial roles and contributions to esteemed journals and conferences highlight his expertise and dedication to advancing scientific knowledge.

Research Interests

🔬 Négadi’s research interests are vast and interdisciplinary, focusing on the mathematical modeling of biological systems, particularly the genetic code. He has explored the symmetries in the genetic code, the use of Fibonacci and Lucas numbers, and the application of quantum-like approaches to biological systems. His work bridges the gap between physics and biology, offering novel insights into genetic information and its underlying structures.

Awards

🏆 Tidjani Négadi’s contributions to science have been recognized with several prestigious awards and honors. He has served as a member of the Executive Board and Advisory Board of the International Symmetry Association (ISA) and the Advisory and Editorial Board of NeuroQuantology. His role as a guest editor for various special issues in prominent journals showcases his leadership in the scientific community.

Publications

1976: Lifetimes of levels in 64Zn from Doppler shift measurements via 61Ni(a,n) 64Zn reaction, Phys. Rev. C13, cited by 10 articles.

1983: On the connection between the hydrogen atom, and the harmonic oscillator, Lett. Nuovo Cimento, cited by 15 articles.

1983: On the connection between the hydrogen atom, and the harmonic oscillator: the continuum case, J. Phys. A16, cited by 12 articles.

1984: Connection between the hydrogen atom, and the harmonic oscillator: the zero-energy case, Phys. Rev. A29, cited by 9 articles.

1984: Hydrogen atom in a uniform electromagnetic field as an anharmonic oscillator, Lett. Nuovo Cimento, cited by 7 articles.

HaiTian Chen | Computer Science | Best Researcher Award

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Ms. HaiTian Chen | Computer Science | Best Researcher Award

College of Science, North China University of Science and Technology, China

Chen HaiTian is a dedicated researcher in the field of Cyberspace Security from China. Born in December 1998, Chen has made significant strides in federated learning, privacy preservation, and cybersecurity. His contributions span multiple peer-reviewed journals and patents, showcasing his commitment to advancing technology and safeguarding digital spaces.

Profile

ORCID

 

Education

Chen HaiTian holds a major in Cyberspace Security, demonstrating his expertise and focus in this critical area of study. His academic background has equipped him with the skills and knowledge necessary to tackle complex cybersecurity challenges and contribute to innovative solutions in the field. 🎓

Research Interests

Chen HaiTian’s research interests focus on federated learning, privacy preservation, and cybersecurity. He is particularly interested in developing robust aggregation techniques to defend against poisoning attacks in federated learning and exploring personalized fair split learning for resource-constrained Internet of Things (IoT). 🔍

Awards

Chen HaiTian has received recognition for his contributions to software development, including the Huali Academy Backstage Management System V1.0 and the DC Early Warning System V1.0. His work has been registered with computer software registration numbers, showcasing his achievements in developing innovative solutions for network management and security. 🏆

Publications

Chen, H.; Chen, X.; Peng, L. (2023). FLRAM: Robust Aggregation Technique for Defense Against Byzantine Poisoning Attacks in Federated Learning. Electronics. Cited by Electronics.

Chen, H.; Chen, X.; Peng, L. (2024). Personalized Fair Split Learning for Resource-Constrained Internet of Things. Sensors, 24, 88. Cited by Sensors.

Chen, H., Chen, X., Ma R., et al. (2024). A federated learning privacy preserving approach for remote sensing data. Computer Applications. Cited by Computer Applications.

Chen, H., Chen, X. (2023). A Robust Aggregation Technique for Poisoning Attack Defense in Federated Learning. Cited by Journal.

Xu C., Zhang S., Chen H., et al. (2024). A federated learning approach based on adaptive differential privacy and customer selection optimization. Computer Applications. Cited by Computer Applications.

Peng L., Zhang S., Chen H., et al. (2023). Clustered federated learning based on improved CFSFDP algorithm. Journal of North China University of Science and Technology (Natural Science Edition). Cited by NCUST.

Qiang Li | Computer Science | Best Researcher Award

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Mr. Qiang Li | Computer Science | Best Researcher Award

Lecturer, Qingdao University, China

Dr. Li Qiang is an experienced lecturer in computer science with a PhD in Engineering. He specializes in high-performance computing and has a strong background in both teaching and research. Committed to fostering academic excellence and technological innovation, Dr. Li has been a dedicated educator and researcher at Qingdao University since 2015.

Profile

ORCID

 

Education 🎓

PhD in Engineering: University of the Chinese Academy of Sciences, Computer Network Information Center (2010-2014), Advisor: Lu Zhonghua. Master’s in Information Science and Engineering: Shandong University of Science and Technology (2007-2010), Advisor: Zhao Maoxian. Bachelor’s in Education: Qingdao University (2003-2007).

Experience 👨‍🏫

Lecturer at Qingdao University, School of Computer Science and Technology (January 2015-Present). Teaching undergraduate and graduate courses in computer science. Supervising student research projects and theses. Conducting research in high-performance computing. Published 12 research papers in journals and conferences. Granted 2 patents.

Research Interests 🔬

Dr. Li Qiang’s research interests lie in high-performance computing, particularly in the optimization and parallel implementation of numerical simulations and the development of new computational frameworks. His work focuses on enhancing computational efficiency and scalability in large-scale scientific computations.

Awards 🏆

Dr. Li Qiang has been recognized for his contributions to the field of high-performance computing through multiple publications and patents. His innovative work has led to advancements in computational methods and has garnered attention in the academic community.

Publications 📄

Optimization Research of Heterogeneous 2D-Parallel Lattice Boltzmann Method Based on Deep Computing Unit. Appl. Sci. 2024, 14, 6078.

Heterogeneous Parallel Implementation of Large-Scale Numerical Simulation of Saint-Venant Equations. Appl. Sci. 2022, 12, 5671. Cited by 6

The Study of Parallelization of SWAT Hydrology Cycle. The 32nd ACM International Conference on Supercomputing, Beijing, 2018. [Cited by 3]

A New Parallel Framework of Distributed SWAT Calibration. Journal of Arid Land, 2015, 7(1): 122-131. [Cited by 7]

Parallel Simulation of High-Dimensional American Option Pricing Based on CPU VS MIC. Concurrency and Computation: Practice and Experience, 2014, 27(5): 1110-1121. [Cited by 5]