Yansheng Wu | Computer Science | Best Researcher Award

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Dr. Yansheng Wu | Computer Science | Best Researcher Award

Associate Professor, Nanjing University of Posts and Telecommunications, China

Dr. Yansheng Wu is a distinguished researcher and Associate Professor at the School of Computer Science, Nanjing University of Posts and Telecommunications, China. With a strong background in Pure Mathematics, his expertise lies in Finite Fields, Cryptography, and Coding Theory. He has made significant contributions to algebraic coding theory and applications of algebra in cryptographic systems. Dr. Wu has held esteemed positions as a Postdoctoral Research Fellow at Ewha Womans University and a Visiting Scholar at the Hong Kong University of Science and Technology. His scholarly work is widely recognized, with numerous publications in prestigious journals such as IEEE Transactions on Information Theory and Finite Fields and Their Applications. In addition to his research, he actively contributes as a reviewer for multiple high-impact journals, making him a key figure in the field of applied mathematics and cryptography. 📚✨

Publication Profile

🎓 Education

Dr. Yansheng Wu holds a Ph.D. in Pure Mathematics from Nanjing University of Aeronautics and Astronautics (2019), where he focused on algebra and number theory applications in coding theory. He earned his MSc in Pure Mathematics from Guangxi Teachers Education University (2016), working on matrix rings and finite group rings. His academic journey began with a BSc in Mathematics and Applied Mathematics from Anhui Normal University (2013), where he explored number partitions. His rigorous training in algebra, number theory, and their cryptographic applications has shaped his prolific research career. 🎓🔢

💼 Experience

Dr. Wu’s professional journey includes serving as an Associate Professor at Nanjing University of Posts and Telecommunications since 2020. Prior to that, he completed a postdoctoral fellowship at Ewha Womans University, South Korea, where he collaborated on advanced research in finite fields. His academic engagements also include a visiting scholar position at the Hong Kong University of Science and Technology in 2023-2024, enhancing international collaborations in cryptography and coding theory. He has participated in prestigious research forums, including the East Asian Core Doctoral Forum at The University of Tokyo. 🌍📊

🏆 Awards and Honors

Dr. Wu has secured multiple prestigious research grants, including the National Natural Science Foundation of China (2022-2024) and the Talent Introduction Fund at Nanjing University of Posts and Telecommunications (2021-2023). His research excellence is also recognized through editorial board memberships at leading journals like AIMS Mathematics and numerous reviewing roles for top-tier mathematical and cryptographic journals, including IEEE Transactions on Information Theory and Finite Fields and Their Applications. 🏅🔬

🔬 Research Focus

Dr. Wu’s research interests span Finite Fields, Coding Theory, Cryptography, and Algebraic Structures. His work explores the design and analysis of linear codes, algebraic cryptosystems, and combinatorial structures over finite fields. He has extensively studied the properties of MDS codes, Reed-Solomon codes, and quaternary codes, contributing novel constructions with optimal parameters. His interdisciplinary approach integrates number theory with applied cryptography, making his research pivotal in modern data security and error correction. 🔢🛡️

🔚 Conclusion

Dr. Yansheng Wu is a leading figure in the field of mathematics, cryptography, and coding theory. His contributions to algebraic coding, finite fields, and cryptographic structures have significantly impacted secure communications and data integrity. Through his research, editorial roles, and academic collaborations, he continues to shape the future of cryptographic mathematics, making lasting contributions to theoretical and applied aspects of the discipline. 🚀🔢

📚 Publications

Two classes of twisted generalized Reed-Solomon codes with two twists. Finite Fields and Their Applications, 104, 102595. [Cited by: TBD] 🔗 Link

When Does the Extended Code of an MDS Code Remain MDS? IEEE Transactions on Information Theory, 71(1), 263-272. [Cited by: TBD] 🔗 Link

Two classes of narrow-sense BCH codes and their duals. IEEE Transactions on Information Theory, 70(1), 131-144. [Cited by: TBD] 🔗 Link

Linear Complementary Dual Codes Constructed from Reinforcement Learning. Journal of System Science and Complexity. [Cited by: TBD] 🔗 Link

Two families of linear codes with desirable properties from some functions over finite fields. IEEE Transactions on Information Theory, 70(11), 8320-8342. [Cited by: TBD] 🔗 Link

Optimal few-weight codes and their subfield codes. Journal of Algebra and Its Applications, 23(4), 2450248. [Cited by: TBD] 🔗 Link

Two Infinite Families of Quaternary Codes. IEEE Transactions on Information Theory, 70(12), 8723-8733. [Cited by: TBD] 🔗 Link

Quaternary codes and their binary images. IEEE Transactions on Information Theory, 70(7), 4759-4768. [Cited by: TBD] 🔗 Link

 

Iana Fominska | Technologies | Digital Arts and Entertainment Award

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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

 

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.