Jian Hou | Finance | Best Researcher Award

Published on by Computer Scientists Awards

Assoc. Prof. Dr. Jian Hou | Finance | Best Researcher Award

Assoc. Prof. Dr. Jian Hou – Associate Professor, College of Economics and Management, Inner Mongolia University of Technology, China.

Dr. Jian Hou is an accomplished Associate Professor at the School of Economics and Management, Inner Mongolia University of Technology. With a Ph.D. from Dalian University of Technology (2012), Dr. Hou has become a leading researcher in green supply chain finance, mathematical finance, and game theory. He has led over 16 completed and 3 ongoing research projects and contributed significantly to academic literature with more than 30 journal publications. His expertise lies in operations research, supply chain optimization, and financial mathematics. Dr. Hou’s practical contributions have been adopted by government policy bodies and acknowledged through several academic and industrial honors.

Publication Profile

ORCID

🎓 Education Background

Jian Hou received his Ph.D. in 2012 from the prestigious Dalian University of Technology, China, where he specialized in the fields of finance and systems engineering. His academic journey built a solid foundation in operations research, financial analysis, and game theory. His advanced education fostered his later contributions to mathematical modeling and strategic decision-making in supply chains. The rigorous training and exposure at Dalian University equipped him to become a recognized scholar in interdisciplinary research, blending economics, technology, and sustainable logistics. His educational credentials continue to shape his innovation in theoretical and applied research.

💼 Professional Experience

Currently serving as an Associate Professor at the School of Economics and Management, Inner Mongolia University of Technology, Jian Hou has demonstrated leadership in academia and research. Over his career, he has spearheaded numerous funded projects, contributed as a mentor, and worked on government consultancy assignments. He has been a member of various expert pools, such as the Science and Technology Expert Pool of Inner Mongolia. His professional journey reflects dedication to higher education, research, and policy-making, particularly in the areas of big data, logistics, and green finance. His influence extends to guiding student competitions and practical policy recommendations.

🏅 Awards and Honors

Dr. Jian Hou has received multiple accolades recognizing his excellence in research and contribution to society. He has been honored with two provincial and ministerial-level awards and several industry-specific recognitions. Additionally, his work has been practically implemented by local government authorities, reflecting its real-world relevance. As a committed mentor, he has guided students who earned national awards. His profile as an award-winning academic is further bolstered by editorial roles and professional memberships in key Chinese associations focused on innovation methodology, logistics, and science and technology advisory services.

🔬 Research Focus

Jian Hou’s primary research domains include green supply chain finance, mathematical finance, game theory, and operations research. His academic output features 32 peer-reviewed journal publications indexed in SCI, SSCI, and Scopus. He has published 14 books with ISBNs and holds 8 patents, showcasing innovation in logistics and financial modeling. Notably, his research aims to address pressing economic and environmental challenges through the lens of optimization and uncertainty modeling. By fusing theory with application, his work drives forward sustainability, financial efficiency, and data-driven decision-making across industries.

📌 Conclusion

Jian Hou is a prolific academic whose contributions in supply chain finance, mathematical modeling, and green economics mark him as a standout researcher in China’s academic and innovation ecosystem. With a strong publication record, practical project execution, policy influence, and student mentorship, he exemplifies a scholar with real-world impact. His dedication to interdisciplinary research and academic rigor makes him a deserving nominee for the Best Researcher Award, with a bright future ahead in shaping policy, industry, and the next generation of researchers.

📝 Publication Top Notes

1. Green Hydrogen Supply Chain Decision-Making and Contract Optimization Under Uncertainty: A Pessimistic-Based Perspective
Published in: Sustainability, 2025
Cited by: 3 articles

2. Risk Aversion Decision Model of Supply Chain Finance Considering Low Carbon and Carbon Trading
Published in: Annals of Operations Research, 2023
Cited by: 9 articles

3. Game Analysis and Empirical Test of Supply Chain Finance Under Financial Constraints
Published in: Journal of Cleaner Production, 2021
Cited by: 21 articles

4. Mathematical Optimization for Green Innovation in Supply Chains Under Risk Preferences
Published in: European Journal of Operational Research, 2020
Cited by: 26 articles

5. An Incentive Contract for Green Supply Chains with Asymmetric Information
Published in: Omega – The International Journal of Management Science, 2019
Cited by: 33 articles

shasnil chand | Finance | Best Researcher Award

Published on by Computer Scientists Awards

Mr. shasnil chand | Finance | Best Researcher Award

Mr. shasnil chand , Lecturer , Fiji National University , Fiji.

Shasnil Chand is a dedicated academic and finance professional based in Suva, Fiji, with over 7 years of experience in higher education. He currently serves as a Lecturer in Banking and Finance at Fiji National University. Known for his leadership, Chand also held the position of Head of Department, where he contributed significantly to curriculum innovation and industry collaboration. He is multilingual and skilled in communication, strategic planning, and public relations. His commitment to academic excellence and research is evident through his active participation in teaching, curriculum development, and scholarly publication in high-ranking journals.

Publication Profile

Scopus

ORCID

Google Scholar

🎓 Education Background

Shasnil Chand holds a Ph.D. in Economics (ongoing) from the University of the South Pacific, supported by the prestigious Pacific Scholarship for Excellence in Research & Innovation (PSERI). He also earned a Master’s degree in Commerce (Economics) in 2018 and a Bachelor’s degree in Commerce and Education, majoring in Economics and Accounting, from the same university. In 2020, he completed a directed research project focusing on the determinants of financial stability in Fiji. His academic training has provided a solid foundation for his research in banking, finance, and economic development in small island economies.

💼 Professional Experience

Shasnil Chand’s career spans roles such as Tutor, Assistant Lecturer, Lecturer, and Head of Department at Fiji National University. He began as a Research Assistant at the University of the South Pacific in 2014, and over the years, he has led curriculum development, delivered multi-campus teaching, and initiated departmental innovations including blended learning and short courses. His leadership from 2020–2022 saw the formulation of an Industry Advisory Board and registration of departmental programs with the Fiji Higher Education Commission. Currently, he continues to mentor students and conduct impactful research while lecturing in Banking and Finance.

🏅 Awards and Honors

Shasnil Chand was awarded the Pacific Scholarship for Excellence in Research & Innovation (PSERI), recognizing his potential in contributing to high-quality economic research in the Pacific region. Under his leadership, his department achieved several academic milestones, including successful program registration and launching new blended and online teaching models. He has represented his college in multiple virtual marketing campaigns and facilitated major academic reviews and course expansions. These honors underscore his commitment to elevating academic standards and advancing financial literacy and development in Fiji and the broader Asia-Pacific region.

🔬 Research Focus

Shasnil Chand’s research is centered on banking and financial economics, particularly in small island economies like Fiji. His work examines themes such as financial stability, bank profitability, globalization, and remittance flows using advanced econometric methods like ARDL and panel cross-sectional models. He has co-authored multiple Q1-ranked journal papers exploring the dynamics of non-performing loans, remittances, economic development, and financial institutions. He also investigates how global uncertainty and institutional factors influence financial systems in developing contexts. His interdisciplinary approach bridges theoretical frameworks with real-world policy implications.

🧾 Conclusion

Shasnil Chand stands out as an emerging academic leader whose multifaceted contributions to education, research, and departmental governance make him a valuable asset in Pacific academic circles. With extensive teaching experience, numerous publications in top-tier journals, and a proactive approach to curriculum and program development, he is shaping the future of banking and finance education in Fiji. His research continues to influence policy-making and economic development strategies in island nations. Through innovation and dedication, he is carving a significant path in academia and applied financial research.

📚 Top Research Publications with Citation Notes

  1. An analysis of remittance inflows and inflation in a small developing economy of Fiji: an ARDL approach
    Journal: International Journal of Economic Development, 2024
    Cited by: 9 articles (as per Google Scholar)

  2. Determinants of Non-Performing Loans in a Small Island Economy of Fiji: Accounting for COVID-19, Bank-Type, and Globalisation
    Journal: Journal of Risk and Financial Management, 2023
    Cited by: 15 articles

  3. Role of Remittance on Sustainable Economic Development in Developing and Emerging Economies
    Journal: Journal of Risk and Financial Management, 2024
    Cited by: 6 articles

  4. Determinants of Bank Profitability—Do Institutions, Globalization, and Global Uncertainty Matter?
    Journal: Journal of Risk and Financial Management, 2024
    Cited by: 8 articles

  5. Determinants of bank deposit in a small economy’s banking sector: a study of Fiji
    Journal: Accounting Research Journal, 2024
    Cited by: 4 articles

  6. Investment analysis based on portfolio optimization: A case of Fiji’s stock market
    Publisher: Elsevier EBooks, 2023
    Cited by: 2 articles

  7. Relationship Between Urban Development and Economic Growth in Vietnam
    Publisher: Emerald Publishing, Smart Cities and Circular Economy, 2024
    Cited by: 3 articles

  8. Role of Social Media in Women’s Political Empowerment in the Asia-Pacific Region
    Conference: Pacific Media Conference, 2024
    Cited by: Under review

 

Dr. Yang Zhao | Risk Management | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Yang Zhao | Risk Management | Best Researcher Award

Staff Software Engineer, Xmotors.ai, United States

Yang Zhao is a distinguished researcher and software engineer specializing in operations research, machine learning, and simulation-based evaluation of autonomous systems. With a deep passion for data-driven insights, he has made significant contributions to the fields of causal inference, risk modeling, and volatility analysis. Currently based in Mountain View, California, he brings a wealth of expertise in statistics, econometrics, and artificial intelligence to his work in autonomous vehicle assessment and optimization. 🚀

Publication Profile

ORCID

🎓 Education

Yang Zhao holds a Ph.D. in Operations Research from North Carolina State University (2018), where he maintained a perfect 4.0 GPA and pursued a minor in Statistics. His research focused on simulation, risk management, and volatility modeling. Prior to this, he earned a B.S. in Financial Management from Huazhong University of Science and Technology in China (2013). His academic journey has equipped him with a strong foundation in mathematical modeling, optimization, and data science. 📚

💼 Experience

With a career spanning across top technology and research-driven companies, Yang Zhao has held key roles in the autonomous vehicle and data science sectors. He is currently a Staff Software Engineer at Xmotors.ai (2025–Present), where he develops simulation-based evaluation workflows for autonomous driving systems. Previously, as a Senior Data Scientist at Cruise LLC (2022–2025), he contributed to scene detection, safety proxy modeling, and reliability performance prediction. His prior experience includes roles at DiDi Labs (2021–2022), where he built causal inference models for pricing strategies, and SAS Institute (2018–2021), where he developed deep learning-based causal inference products and Monte Carlo simulation tools. His expertise in data science, machine learning, and simulation has been instrumental in advancing AI-driven decision-making. 🏆

🏅 Awards and Honors

Yang Zhao has been recognized for his groundbreaking contributions in statistics, econometrics, and AI-driven solutions. His innovative work in deep learning for causal inference and policy optimization has led to multiple patents. His contributions to risk estimation and volatility modeling have been published in top-tier journals, further solidifying his reputation in the field. His cutting-edge software products at SAS Institute have been widely utilized in financial modeling and simulation. 🏅

🔬 Research Focus

Yang Zhao’s research interests lie at the intersection of machine learning, statistical modeling, and AI-driven decision-making. He has extensively worked on causal inference, deep learning, survival analysis, time-series forecasting, and risk assessment. His expertise in simulation-based modeling for autonomous systems, safety evaluation, and reliability estimation has contributed to advancements in self-driving technology. Additionally, his work on Bayesian analysis, stochastic processes, and Monte Carlo methods has played a crucial role in optimizing financial and operational risk models. 📊

🎯 Conclusion

Yang Zhao is a visionary researcher and software engineer whose expertise in simulation, AI, and statistical modeling has had a profound impact on autonomous systems, risk assessment, and financial modeling. His deep understanding of machine learning and optimization, combined with hands-on experience in AI-driven evaluation, makes him a leading figure in his field. With multiple patents, high-impact publications, and contributions to top AI companies, he continues to drive innovation in data science and AI applications. 🚀

📚 Publications

A Simple and Robust Approach for Expected Shortfall Estimation (2021) – Journal of Computational Finance, 25(1). [[Read More](website W)] 📖

On GARCH and Autoregressive Stochastic Volatility Approaches for Market Calibration and Option Pricing (2023) – Risks, 13(2):31. [[Read More](website W)] 📖