Zhizhen Chen | Computer Science | Best Researcher Award

Dr. Zhizhen Chen | Computer Science | Best Researcher Award

Senior Lecturer, University of Greenwich, United Kingdom

๐ŸŽ“ 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. ๐ŸŒ๐Ÿ“Š

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

๐ŸŽ“ 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). ๐Ÿ“šโœจ

Experience

๐ŸŒŸ 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. ๐Ÿ’ผ๐Ÿ’น

Research Focus

๐Ÿ” 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. ๐Ÿ“‘๐Ÿ”ฌ

Awards and Honours

๐Ÿ… 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. ๐ŸŽ–๏ธ๐Ÿ“ˆ

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.

Maria Achary | Computer Science | Best Researcher Award

Mrs. Maria Achary | Computer Science | Best Researcher Award

Assistant Professor, University of Mumbai, India

๐Ÿ‘ฉโ€๐Ÿซ Maria Achary is an accomplished academician and entrepreneur with over 10 years of experience in teaching computer science and management. As an Assistant Professor and Training Placement Officer at Deccan Education Societyโ€™s Smt. Jayshree Sharadchandra Kothari Business School, she specializes in programming and computer applications. Maria is also a research scholar pursuing a PhD from the University of Mumbai, focusing on deep learning for neurodegenerative disorder detection. She has been a guest speaker at multiple institutions and has received several awards for her research contributions.

Profile

ORCID

๐ŸŽ“ Education:

Maria Achary is currently pursuing her PhD in Deep Learning for Neurodegenerative Disorders Detection from the University of Mumbai. She holds a Masterโ€™s degree in Computer Science and Management. Her educational background is reinforced by extensive research and practical application in various fields, making her a well-rounded academic and researcher.

๐Ÿ’ผ Experience:

With over a decade of experience, Maria Achary has been a key figure in academia and industry. She currently serves as an Assistant Professor and Training Placement Officer at Deccan Education Societyโ€™s Smt. Jayshree Sharadchandra Kothari Business School. Her expertise in programming and computer applications has been instrumental in her teaching and research roles. Maria is also actively involved in consultancy projects and has been a guest speaker at various institutions.

๐Ÿ”ฌ Research Interests:

Maria Acharyโ€™s primary research interest lies in Deep Learning, particularly its application in the early diagnosis of neurodegenerative disorders like Alzheimerโ€™s and Parkinsonโ€™s Disease. Additionally, she explores the use of Artificial Intelligence for managerial decision-making in various domains, including Marketing, Finance, and HR. Her work aims to bridge the gap between theoretical research and practical application, making significant contributions to both fields.

๐Ÿ† Awards:

Maria Achary has been recognized for her outstanding contributions to research and academia. She has received multiple awards for her innovative work and dedication to her field. Her ongoing research and commitment to excellence continue to earn her accolades and recognition within the academic community.

Publications

Title: “Deep Learning for Early Diagnosis of Neurodegenerative Disorders”, Journal: SpringerLink (2023) Link

Title: “AI in Managerial Decision-Making: Case Studies in Marketing, Finance, and HR”, Journal: Taylor & Francis Online (2024) Link