Nasser Mozayani | software | Best Researcher Award

Dr. Nasser Mozayani | software | Best Researcher Award

Associate Professor, Iran University of Science and technology, Iran

🎓 Dr. Nasser Mozayani is an Associate Professor at the School of Computer Engineering at Iran University of Science and Technology (IUST) in Tehran, Iran. With a distinguished career in computer engineering, he has contributed significantly to research, teaching, and administration in his field. Dr. Mozayani specializes in machine learning, multi-agent systems, and the metaverse, bringing innovative insights into these cutting-edge areas. He has held several prominent positions at IUST, including Dean of the Computer Engineering Department, and has been actively involved in national research and technological projects.

Publication Profile

ORCID

Education

📘 Dr. Mozayani completed his Ph.D. in Informatics at the University of Rennes I in France (1998), where he conducted groundbreaking research on spatio-temporal coding in neural networks. His educational journey also includes an M.Sc. in Telematics & Information Systems from SUPELEC, France (1994), and a B.Sc. in Electrical Engineering (Computer Hardware) from Sharif University of Technology in Tehran, Iran (1990).

Experience

👨‍🏫 Dr. Mozayani has been an Associate Professor at IUST since 1999, teaching undergraduate courses in electronic and electric circuits, and advanced graduate courses in fields like artificial neural networks, digital circuits synthesis, and distributed AI. He has also held visiting professor roles at Allameh Tabatabaee University and Tarbiat Modarres University, where he specialized in educational games and simulations for doctoral students. In administrative capacities, he has led multiple departments and centers at IUST, contributing to the growth of e-learning and technology innovation.

Research Focus

🔬 Dr. Mozayani’s research is centered on machine learning, multi-agent systems, and smart grid applications. He has led numerous projects on smart grid communication protocols, reinforcement learning, and the application of AI in predictive modeling and decision-making for health and energy sectors. His innovative work in hierarchical reinforcement learning has advanced the integration of machine learning in smart grid management and infrastructure.

Awards and Honors

🏆 Dr. Mozayani has supervised the IUST RoboCup team, which achieved notable successes, including a first-place win in the Rescue Virtual Robots competition at the Khwarizmi Young Award (2010) and a top-four ranking in the World RoboCup 2D football simulation (2013). He has also mentored award-winning student projects in digital library development, recognized by the Khwarizmi Young Award.

Publications – Top Notes

“Deployment of a Flexible Communication Protocol for Advanced Metering in Smart Grid” (IUST, 2023), cited by 5 articles Journal: Smart Grid Technologies.

“Algorithmic Trading on Financial Time Series Using Deep Reinforcement Learning” (IUST, 2022), cited by 10 articles Journal: Financial Technology & AI.

“Using Machine Learning Methods to Determine Factors Affecting COVID-19 Mortality Rates” (IUST, 2021), cited by 8 articles Journal: Health Informatics.

 

Zhizhen Chen | Computer Science | Best Researcher Award

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.

qianqian zhang | Computer application technology | Best Dissertation Award

Dr. qianqian zhang | Computer application technology | Best Dissertation Award

Doctoral student, University of Chinese Academy of Sciences, China

Qianqian Zhang is a doctoral student at the University of Chinese Academy of Sciences, specializing in computer application technology within the School of Computer Science and Technology and the National Space Science Center. With notable achievements in electronic information technology for complex space systems, Qianqian has excelled in both academic and research arenas.

Profile

ORCID

🎓 Education:

  • Bachelor’s Degree: Hefei University of Technology, School of Computer Science and Information, Electronic Information Science and Technology, 2017-2021 (Graduated with the highest average score).
  • Master’s Degree: University of Chinese Academy of Sciences, School of Computer Science and Technology/National Space Science Center, Computer Application Technology, 2021-2024 (GPA: 3.7/4.0).
  • Ph.D. Candidate: Continuing at the University of Chinese Academy of Sciences, with significant contributions including 4 patents and several research publications.

🛠 Experience:

Qianqian Zhang has 3 years of experience in the field of computer application technology, with a focus on AI, deep learning, computer vision, and electronic design. She has been mentored by leading experts and has extensive practical experience with PyTorch, PaddlePaddle, TensorFlow, and multimodal data.

🔬 Research Interests:

Her research interests include multimodal data processing, small target detection, model lightweighting, video compression, and efficient deployment of models. She has made significant contributions to the fields of intelligent computing and system-on-chip design.

🏆 Awards:

Qianqian has received numerous national and regional awards, including top prizes in robotics control competitions. Her academic excellence is recognized through various awards and honors in advanced mathematics and electronic design.

📚 Publications:

“Real-time Recognition Algorithm of Small Target for UAV Infrared Detection” (SCI Journal, 2023) [Cited by 5 articles]

“Design of H.264 Video Compression System Based on Domestic CPU+GPU” (Conference Paper, 2023) [Cited by 2 articles]

“Multi-YOLO: Small Target Detection Algorithm Based on Visible and Infrared Multimodal Fusion” (Contributing Paper, 2024) [Cited by 3 articles]