Prof. Emmanuel Onsay | Disaster Risk | Best Researcher Award
Coordinator, Research and Development at Partido State University, Philippines
Prof. Emmanuel A. Onsay is an Assistant Professor IV at the Partido Institute of Economics, Partido State University, Philippines. He holds a Ph.D. in Data Analytics and Informatics from the University of the Philippines Los Baños and a Master’s degree in Applied Economics from De La Salle University. His expertise spans accountancy, auditing, quantitative finance, econometrics, and data analytics. Prof. Onsay has worked closely with local governments and private agencies, contributing to economic modeling, disaster preparedness, and poverty alleviation in the poorest region of Luzon. His research has earned him numerous awards, including the Outstanding Faculty of the Year in 2023.
Profile
Education
Prof. Emmanuel A. Onsay has an impressive educational background that highlights his commitment to academic excellence. He is currently pursuing a Doctor of Philosophy in Research in Data Analytics and Informatics, with a focus on Economics, Business, and Quantitative Social Sciences, at the University of the Philippines Los Baños. He holds a Master’s degree in Applied Economics from De La Salle University, Manila, where he specialized in mathematical poverty economics, public economics, and applied econometrics. This advanced degree was supported by scholarships from the Commission on Higher Education (CHED) and St. Marie Mutien. Prof. Onsay also completed a Teacher’s Certificate Program with a specialization in Social Science, Business, and Management at Partido College, supported by a local institutional scholarship grant. His academic journey began with a Bachelor of Science in Accountancy from Partido State University, where he graduated with a specialization in financial accounting, management accounting, and applied auditing. This degree was funded by a scholarship from the Local Government of San Jose. Prof. Onsay’s educational qualifications are a testament to his strong foundation in economics, data analytics, and accountancy.
Professional Experience
Prof. Emmanuel A. Onsay has extensive professional experience as an academic and researcher in economics and finance. He currently serves as an Assistant Professor IV at the Partido Institute of Economics, Partido State University, where he held the position of director from 2022 to 2023. In this role, he collaborated with local government units and private agencies to model the dynamics of business, public affairs, disaster management, poverty, and development in the region. A Certified Public Accountant and a Professional Member of the Philippine Institute of Certified Public Accountants, Prof. Onsay combines his practical accounting knowledge with his research interests in applied econometrics and data analytics, making significant contributions to both academic and local community initiatives.
Research Interest
Prof. Emmanuel A. Onsay’s research interests encompass a broad range of fields, including accountancy, auditing, quantitative finance, and economics. He specializes in applied econometrics and data analytics, focusing on quantitative social sciences. His work particularly emphasizes poverty econometrics, public economics, environmental economics, and impact evaluation. Prof. Onsay is dedicated to utilizing advanced data analysis techniques to address pressing societal issues, including disaster risk preparedness and the economic challenges faced by marginalized communities. His commitment to combining theoretical knowledge with practical applications drives his research, contributing to both academic discourse and real-world solutions.
Research Skills
Prof. Emmanuel A. Onsay possesses a diverse skill set that enhances his contributions to the fields of economics and data analytics. He is a certified public accountant with expertise in financial accounting, management accounting, and applied auditing. His strong analytical skills are complemented by his proficiency in quantitative finance, applied econometrics, and data analytics. As a Junior Data Scientist, he adeptly employs machine learning techniques to extract insights from complex datasets. Additionally, Prof. Onsay’s ability to collaborate effectively with local government units and private agencies underscores his strong interpersonal skills and commitment to community engagement. His comprehensive understanding of economic theories, coupled with practical data analysis capabilities, positions him as a valuable asset in both academic and applied research settings.
Award and Recognition
Prof. Emmanuel A. Onsay has received numerous awards and recognitions for his outstanding contributions to academia and research. In 2023, he was honored as the Outstanding Faculty of the Year by Partido State University, reflecting his commitment to teaching excellence. He also received two Kilyab Awards for Outstanding Research during the same year, highlighting his impactful research initiatives. His scholarly achievements are further underscored by ten Citation Awards and five Publication Awards, recognizing his significant contributions to the field. Notably, he ranked as the Top 8 Scientist at Partido State University, holding the second position in Economics and Econometrics and the first position in Accounting and Finance within the Partido District, as indicated by the AD Scientific Index 2023. Additionally, he received University Presidential Citations for Research and Competitive Graduate Studies in 2023, affirming his dedication to advancing knowledge and addressing critical issues in economics and social sciences.
Conclusion
Prof. Emmanuel Onsay’s achievements in research, publications, and professional recognition make him an exceptional candidate for the Best Researcher Award. His work in the poorest region of Luzon, combined with his advanced econometric research and machine learning applications, demonstrates his significant contributions to economic development, poverty alleviation, and disaster risk preparedness. His extensive list of awards and accolades further solidifies his place as a leading researcher in his field.
Publications Top Notes
- Poverty Profile and Health Dynamics of Indigenous People
Author: E.A. Onsay
Year: 2022
Journal: International Review of Social Sciences Research, Volume 2, Pages 1-27
Citations: 6 - The Analysis of Green Growth Indicators in Predicting the Economic Development of Southeast Asian Countries
Author: E.A. Onsay
Year: 2021
Journal: Review of Socio-Economic Perspectives, Volume 6, Issue 3, Pages 1-15
Citations: 4 - Measuring the Unmeasurable Multidimensional Poverty for Economic Development: Datasets, Algorithms, and Models from the Poorest Region of Luzon, Philippines
Authors: E.A. Onsay, J.F. Rabajante
Year: 2024
Journal: Data in Brief, Volume 53, Article 110150
Citations: 3 - Untying Empirical Knots: Deterioration of Profitability, Economic Failure, and Financial Insolvency in the Philippines before COVID-19 Outbreak
Author: E. Onsay
Year: 2021
Journal: JATI – Journal of Southeast Asian Studies, Volume 26, Issue 1, Pages 21-48
Citations: 3 - Covid-19 Pandemic and Its Influence on the Level of Preparedness of Graduating Students for the Upcoming Licensure Examination
Authors: P.C. Pardiñas, K.M. Tañegra, E. Onsay
Year: 2023
Journal: Journal of Mathematics Instruction, Social Research and Opinion, Volume 2, Issue 2, Pages 89-104
Citations: 2 - The Dynamics of Taro (Colocasia esculenta) through Value Chain Analysis and Crop Accounting in Partido District, Camarines Sur, the Philippines
Authors: E.A. Onsay, K.C. Baltar, E.R. Galicia, I.R.C. Pesino
Year: 2022
Journal: Sustainable Rural Development Perspective and Global Challenges
Citations: 2 - Productivity Value Chain Analysis of Cassava in the Philippines
Author: E.A. Onsay
Year: 2021
Journal: IOP Conference Series: Earth and Environmental Science, Volume 892, Article 012010
Citations: 2 - When Machine Learning Meets Econometrics: Can It Build a Better Measure to Predict Multidimensional Poverty and Examine Unmeasurable Economic Conditions?
Authors: E.A. Onsay, J.F. Rabajante
Year: 2024
Journal: Science Talks, Volume 11, Article 100387
Citations: 1 - Measuring the Unmeasurable through Machine Learning Regressions and Classifications: Multidimensional Poverty Predictions in the Poorest Region of Luzon, Philippines
Authors: E. Onsay, J. Rabajante
Year: 2024
Citations: 1 - Combining Machine Learning (ML) and Participatory Rural Appraisal (PRA) for Disaster Risk Preparedness (DRP): Evidence from the Poorest Region of Luzon, Philippines
Authors: E.A. Onsay, J.F. Rabajante
Year: 2024
Journal: International Journal of Disaster Risk Reduction, Article 104809