Williams Ossai | Renewable Energy | Best Researcher Award

Mr. Williams Ossai | Renewable Energy | Best Researcher Award

Data and Analytics Specialist at Summit Media, Hull, United Kingdom

Williams Ossai is a UK-based Data and Analytics Specialist with a solid background in Artificial Intelligence, Data Science, and Physics/Electronics. He is known for integrating machine learning solutions into sectors such as energy, media, and healthcare. His work effectively bridges the gap between industry and applied research, particularly focusing on renewable energy adoption and health data science for social impact. He also engages in consultancy, offering data-driven strategies to top-tier organizations in emerging markets.

Publication Profileย 

Google Scholar

Educational Background ๐ŸŽ“

  • Masterโ€™s Degree in Artificial Intelligence and Data Science,
    University of Hull, United Kingdom

  • Undergraduate Background in Physics/Electronics
    (Institution not specified in the form)

Professional Experience ๐Ÿ’ผ

  • Current Role: Data and Analytics Specialist, Summit Media, Hull, United Kingdom

  • Sector Experience:

    • Energy: Market analytics, renewable energy modelling

    • Media: Data insights, analytics strategy

    • Health: Epidemiological data modelling with UK Biobank

  • Consultancy Roles:

    • Alpha One Solutions Limited: Analytics and strategy for renewable energy in emerging markets

    • Jinko Solar Co., Ltd: Strategy modelling across 11 West African countries

Research Interests ๐Ÿ”ฌ

  • Applied Machine Learning

  • Renewable Energy Analytics

  • Health Data Science

  • Predictive Modelling for Social Impact

Research Projects

  • Completed:

    • Machine learning-based predictive modelling of renewable energy adoption

    • Improved ML approach for predicting solar energy adoption

  • Ongoing:

    • Association between physical activity and dementia in cancer populations (UK Biobank)

Awards and Honors๐Ÿ†โœจ

  • Nominated for: Best Researcher Award under the Global Innovation Technologist Awards

  • Editorial Appointments: None currently

  • Professional Memberships:

    • Faith Driven Entrepreneurs

Collaborations

  • Co-author: Dr. Temitayo Fagbola

    • Affiliation: Centre of Excellence for Data Science, AI & Modelling, University of Hull

Conclusion๐ŸŒŸ

Mr. Williams Ossai exhibits strong interdisciplinary expertise, integrating advanced analytics with domain knowledge to address global challenges. Although he has no formal academic publications or citations yet, his practical research applications, industry collaborations, and published books illustrate a trajectory focused on innovation and real-world impact. His work contributes to sustainable development and healthcare improvements in both developed and developing nations. His profile presents a strong case for recognition under the Best Researcher Award, with room to grow in academic dissemination and scientific publishing.

Publications ๐Ÿ“š

๐Ÿ“ Ossai, Williams, and T. M. Fagbola. “Machine learning-based predictive modelling of renewable energy adoption in developing countries.” ๐ŸŒฑ Energy Reports, vol. 14, 2025, pp. 66โ€“84.


Meng-Chun Kao | Sustainable Development | Best Researcher Award

Prof. Meng-Chun Kao | Sustainable Development | Best Researcher Award

Department of Business Administration at Yuanpei University of Medical Technology, Taiwan

Dr. Meng-Chun Kao is an Associate Professor in the Department of Business Administration at Yuanpei University of Medical Technology, Taiwan. With expertise in accounting, finance, business management, and AI applications, she has published extensively in high-impact journals and contributed to innovative teaching methodologies. Her research integrates technology, sustainability, and education to improve business practices.

Publication Profileย 

Scopus

Educational Background ๐ŸŽ“

  • Ph.D. (2008) โ€“ Accounting, Graduate School of Management, Yuan Ze University, Taiwan

  • M.B.A. (1999) โ€“ Finance, Graduate School of Management, Yuan Ze University, Taiwan

  • B.B.A. (1996) โ€“ Business Administration, Tamkang University, Taiwan

Professional Experience ๐Ÿ’ผ

  • Associate Professor (2022โ€“Present), Yuanpei University of Medical Technology

  • Assistant Professor (2008โ€“2022), Yuanpei University of Medical Technology

  • Lecturer & Chair (1999โ€“2008), Nanya Institute of Technology & Chin-Min Institute of Technology

  • Deputy Director (2001โ€“2002), Chinese Management Elite Association

Research Interests ๐Ÿ”ฌ

  • Accounting & Finance

  • Business Management

  • Teaching Innovation

  • Sustainable Development

  • Big Data Analysis & AI Applications

Awards and Honors๐Ÿ†โœจ

  • Model Teacher Award, Private Education Association of ROC (2024)

  • Excellent Teaching Award, Yuanpei University of Medical Technology (2024)

  • Outstanding Research Award, Yuanpei University of Medical Technology (2022โ€“2023)

  • Outstanding Talent Award, National Science and Technology Council (2022, 2024)

  • Excellence in Teaching Award (2020โ€“2023)

Conclusion๐ŸŒŸ

Dr. Kao is a distinguished researcher and educator recognized for her contributions to business education, sustainability, and AI applications. Her innovative approaches in gamified learning and big data analysis have significantly impacted academic and industry practices.

Publications ๐Ÿ“š

1๏ธโƒฃ Chiu, M. C., Tu, Y. L., & Kao, M. C.* (2025). Integrating TPB and Gamification to Promote Green Eating Behaviors: A Case Study of Food Carbon Footprint Tracking System. ๐ŸŒ Environmental Development, 101153. (SCI, IF: 4.7, Q2 in Environmental Sciences)


2๏ธโƒฃ Kao, M. C., Yuan, Y. H., & Wang, Y. X. (2023). The study on designed gamified mobile learning model to assess studentsโ€™ learning outcome of accounting education. ๐ŸŽฎ๐Ÿ“š Heliyon, 9, e13409. (SCI, IF: 3.4, Q1 in Multidisciplinary Sciences) ๐Ÿ… Best Researcher Award


3๏ธโƒฃ Chiu, M. C., Wei, C. J., Wang, Y. C., & Kao, M. C.* (2023). Applying unsupervised learning method to develop a regional risk model based on TCFD: A case study in the United States. ๐ŸŒฑ๐Ÿ’ป Journal of Cleaner Production, 400, 136669. (SCI, IF: 9.8, Q1 in Environmental Sciences)


4๏ธโƒฃ Chiu, M. C., Tu, Y. L., & Kao, M. C.* (2022). Applying deep learning image recognition technology to promote environmentally sustainable behavior. ๐Ÿค–โ™ป๏ธ Sustainable Production and Consumption, 31, 736โ€“749. (SCI, SSCI, IF: 10.1, Q1 in Green & Sustainable Science & Technology)


5๏ธโƒฃ Huang, H. C., Lai, M. C., Kao, M. C., & Sung, C. H. (2014). A Team-Learning Framework for Business Model Innovation in an Emerging Market. ๐Ÿ‘ฅ๐Ÿ’ก Journal of Management & Organization, 20(1), 100โ€“120. (SSCI, IF: 3.1, Q2 in Management)


6๏ธโƒฃ Huang, H. C., Lai, M. C., Kao, M. C., & Chen, Y. C. (2012). Target Costing, Business Model Innovation, and Firm Performance: An Empirical Analysis of Chinese Firms. ๐Ÿ“Š๐Ÿ‡จ๐Ÿ‡ณ Canadian Journal of Administrative Sciences, 29(4), 322โ€“335. (SSCI, IF: 1.2, Q3 in Management)


7๏ธโƒฃ Lai, M. C., Wang, W. K., Huang, H. C., & Kao, M. C. (2011). Linking the Benchmarking Tool to a Knowledge-based System for Performance Improvement. ๐Ÿ“ˆ๐Ÿค– Expert Systems with Applications, 38(8), 10579โ€“10586. (SCI, IF: 7.5, Q1 in AI)


8๏ธโƒฃ Kao, M. C.* (2025). The impact of corporate sustainability announcements and the COVID-19 pandemic on stock prices: Evidence from the Taiwan stock market. ๐Ÿ’น Journal of Accounting, Finance & Management Strategy, Accepted. (EconLit)


9๏ธโƒฃ Kao, M. C.* (2021). Impact of COVID-19 Pandemic on Different Industries in Taiwan Stock Marketโ€”A Case Study of Electronics and Biotech Industries. ๐Ÿ“‰๐Ÿฆ  Journal of Accounting, Finance & Management Strategy, 16(2), 137โ€“158. (EconLit)


๐Ÿ”Ÿ Chen, Y. H., & Kao, M. C.* (2015). The Effects of Acquisition Targets, Diversification and Market Power on Cost Efficiency: Evidence from Taiwanese Banks. ๐Ÿฆ๐Ÿ“Š International Business Research, 8(2), 71โ€“82. (EconLit)


Fanghua Wu | ESG | Best Researcher Award

Dr. Fanghua Wu | ESG | Best Researcher Award

PHD at Universiti Sains Malaysia, Malaysia

Dr. Fanghua Wu is a PhD economist specializing in digitalization, carbon emissions, sustainability, and green innovation. Her research focuses on understanding how the digital economy impacts carbon emissions and the long-term implications for environmental and social sustainability. Through data-driven analysis, she provides valuable insights to policymakers and industry leaders, aiding the development and implementation of sustainability strategies. Her work has been published in several high-impact academic journals.

Publication Profileย 

Google Scholar

Educational Background ๐ŸŽ“

  • PhD in Economics โ€“ Universiti Sains Malaysia

Professional Experience ๐Ÿ’ผ

  • Researcher in Economics, Digitalization, and Sustainability
    • Conducts in-depth research on ESG (Environmental, Social, and Governance), green innovation, economics, finance, and sustainable development.
    • Explores how digitalization affects sustainability strategies and long-term economic growth.
    • Uses empirical analysis to support policy development and business innovation in green finance.

Research Interests ๐Ÿ”ฌ

  • Environmental, Social, and Governance (ESG) Policies
  • Green Innovation and Sustainable Development
  • Digital Economy and Finance
  • Carbon Emission Control and Climate Change Mitigation
  • Impact of Green Finance on Economic Growth

Awards and Honors๐Ÿ†โœจ

  • Nominee for Best Researcher Award
  • Recognized for significant contributions to research on sustainability, digital transformation, and carbon emissions.
  • Published in renowned journals, including:
    • Polish Journal of Environmental Studies
    • Journal of Environmental Management

Conclusion๐ŸŒŸ

Dr. Fanghua Wu is a dedicated economist whose research bridges the gap between digitalization and sustainability. By leveraging quantitative analyses and case studies, she demonstrates how green finance, ESG criteria, and innovation contribute to sustainable economic development. Her contributions not only advance academic knowledge but also provide a foundation for policymakers and industries to implement effective sustainability strategies.

Publications ๐Ÿ“š

1๏ธโƒฃ Spatial and Temporal Evolution Patterns and Spatial Spillover Effects of Carbon Emissions in China in the Context of Digital Economy

  • ๐Ÿ–Š๏ธ Authors: C. Wang, H. Ibrahim, F. Wu, W. Chang
  • ๐Ÿ“– Journal: Journal of Environmental Management
  • ๐Ÿ”ข Volume: 373
  • ๐Ÿ“„ Article: 123811
  • ๐Ÿ”ข Cited by: 2
  • ๐Ÿ“… Year: 2025

2๏ธโƒฃ Impact of Green Finance on Carbon Emissions: Empirical Analysis Based on Chinese Provincial Panel Data

  • ๐Ÿ–Š๏ธ Authors: F. Wu, C. Wang, H. Ibrahim, P. Liu
  • ๐Ÿ“– Journal: Polish Journal of Environmental Studies