Aaron Finley | Business Intelligence | Research Excellence Award

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Dr. Aaron Finley | Business Intelligence | Research Excellence Award

Assistant Professor at Macau University of Science and Technology | Macau

Dr. Aaron Finley is a researcher at the Macau University of Science and Technology, Macau, with expertise in Business Intelligence, data-driven policy analysis, and applied econometric modeling. His research focuses on the intersection of sustainability analytics, environmental economics, public health modeling, and advanced statistical methodologies. Dr. Finley has made significant scholarly contributions in evaluating carbon pricing instruments and their effectiveness in reducing emissions across major Asian economies, providing evidence-based insights for climate policy optimization. His work on environmental, social, and governance (ESG) factors in relation to business environments demonstrates the practical application of multivariate analysis techniques such as canonical correlation analysis in regional economic systems.

In addition to sustainability and economic modeling, Dr. Finley’s interdisciplinary research extends into public health analytics, where he applies predictive modeling, diffusion theory, and cost-effectiveness analysis to pandemic response strategies, vaccination behaviors, and lung cancer screening programs in Asia. His studies published in BMC Medicine, Journal of Thoracic Disease, Sustainable Futures, and Sustainability highlight his ability to translate complex data into actionable policy insights. Through the integration of business intelligence frameworks with health and environmental datasets, Dr. Finley’s research supports informed decision-making in government, healthcare, and sustainability-focused institutions. His growing citation impact reflects the relevance and applicability of his work across multiple high-impact domains.

Profiles: Scopus | Google Scholar

Featured Publications

  • Finley, A., He, W., Huang, H., & Hon, C. (2024). Analyzing the effectiveness of carbon pricing instruments in reducing carbon emissions in major Asian economies. Sustainability, 16(23), 10542.
    Citation Count: 5

  • Finley, A., He, W., Huang, H., & Hon, C. (2025). A canonical correlation analysis on the relation of environmental, social, governance (ESG) on business environment (paying taxes) in South China. Sustainable Futures, 10, 101369.

  • Zhang, X., Shi, W., Liu, Z., Finley, A., Cen, K., Xie, Z., Yang, P., Li, H., & Leong, U. (2025). Adaptive Fourier decomposition analysis of different pandemic stages in South Korean cities: Policies and trends. Journal of Thoracic Disease, 17(6), 3516–3531.

  • Zhang, T., Wang, Y., Chen, X., Yang, X., Zhang, L., Bazzi, N., Bai, L., & Finley, A. (2025). Cost-effectiveness of risk model-based lung cancer screening in smokers and nonsmokers in China. BMC Medicine, 23(1), 315.

  • He, W., Wu, J., Chen, C. H., Finley, A., Wang, H., Huang, H., Ng, C., & Chui, T. (2025). Predicting COVID-19 vaccination timing by integrating the theory of planned behavior and the diffusion of innovations: A cross-sectional survey in Macao, China. Journal of Thoracic Disease, 17(5), 2813.

Supria Basak | Business Intelligence | Analytics Excellence Award

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Ms. Supria Basak | Business Intelligence | Analytics Excellence Award

Data Analyst at Worcester Polytechnic Institute, United States

Supria Basak is currently pursuing a Master’s in Information Technology with a concentration in Data Analytics at Worcester Polytechnic Institute (WPI), Massachusetts, with an exceptional academic record. Holding a Bachelor’s in Computer Science and Engineering from NIT Trichy, India, she has showcased her expertise in data analytics, machine learning, and user behavior analysis. Her professional experiences span roles as a Data Analyst, Research Assistant, and Teaching Assistant at WPI, as well as an actuarial data intern at Quincy Mutual Group. Her research interests include Data Visualization, Business Analytics, Machine Learning, FinTech, and Healthcare Analytics. Supria is a certified specialist in Human Subjects Research, Adversarial Machine Learning, and Data Science.

Profile

Google Scholar

Education

Supria Basak’s educational journey began with a Bachelor’s degree in Computer Science & Engineering from NIT Trichy, where she also pursued a minor in Economics. Her academic coursework was focused on subjects such as Artificial Intelligence, Data Mining, and Cryptography, which laid the foundation for her analytical prowess. Currently, at WPI, she is on track to complete her MS in Information Technology by May 2025, concentrating on Data Analytics and Information Systems Design. Her coursework includes Business Intelligence, Machine Learning, and Database Design, and she has maintained a flawless GPA of 4.0, demonstrating her dedication and intellectual capability in the field.

Experience

Supria has amassed substantial experience across multiple sectors, especially in data analysis and research. At WPI, she serves as a Data Analyst, where she enhances data accuracy and drives strategic initiatives that inform business decisions. Her role includes analyzing institutional financial data and conducting research on alumni employment trends. She also played a key role in advising on the implementation of open educational resources, aiming to reduce financial burdens on students. Her previous experience as an Actuarial Data Analyst Intern at Quincy Mutual Group involved building predictive models for insurance premiums and developing automated reporting tools. As a Graduate Research Assistant and Teaching Assistant at WPI, she focused on health data analysis, contributing to the improvement of health outcomes via user behavior insights.

Research Interests

Supria’s research interests encompass a broad range of topics, including Data Visualization, Machine Learning, Healthcare Analytics, and User Behavior Analysis. She is particularly interested in studying how machine learning and data analytics can be utilized to improve decision-making processes in sectors like education, healthcare, and business. Supria has explored topics such as habit formation through app usage data, the influence of exercise routines on health outcomes, and the potential for machine learning to detect psychological disorders like Body Dysmorphic Disorder (BDD). Her work on sentiment analysis and social network studies exemplifies her ability to use data to gain deeper insights into human behavior and societal trends.

Awards

Supria has been recognized for her academic excellence and contributions to the field of data science. Notably, she was awarded the prestigious ICCR Scholarship for fully-funded undergraduate study, placing her in the top 0.5% of candidates from both India and Bangladesh. She also demonstrated leadership as the Marketing Head for Sports Club at NIT Trichy and as the Vice President of the Mental Health & Lifestyle Club. These roles illustrate her ability to balance academics with extracurricular commitments. Supria’s involvement in various hackathons and competitions, such as her placement in the TransfiNitte Hackathon and Smart India Hackathon, further emphasizes her exceptional problem-solving and innovative skills.

Publications

Alam, Mohammad Morshad, Basak, Nandita, Basak, Supria, et al. “Body Dysmorphic Disorder (BDD) Symptomatology Among Undergraduate University Students of Bangladesh.” Journal of Affective Disorders, Elsevier, Oct 2022. Impact Factor: 6.53.

Supria Basak’s forthcoming research paper will focus on detecting BDD using Machine Learning, specifically analyzing the role of cyberbullying through Natural Language Processing.

Conclusion

Supria Basak is an emerging leader in the field of Data Analytics, with a keen interest in leveraging machine learning and analytics to solve real-world problems. Her solid academic foundation, hands-on experience in various data-related roles, and her contributions to important research topics make her a promising candidate for future opportunities in data science, analytics, and beyond. Her combination of technical expertise, leadership skills, and an eagerness to continue advancing in her field ensures she will continue to make significant impacts in her chosen areas of research and industry.