Emmanuel Onsay | Disaster Risk | Best Researcher Award Posted on 12/09/202412/09/2024 by ScienceFather 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 ORCID Profile Scopus Profile Google Scholar 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
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 ORCID Profile Scopus Profile Google Scholar 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
Hamidreza Dezfoulian | Disaster Management | Best Researcher Award Posted on 08/08/202408/08/2024 by ScienceFather Assist Prof Dr. Hamidreza Dezfoulian | Disaster Management | Best Researcher Award University Professor at Bu-Ali Sina University, Iran Hamidreza Dezfoulian, born in 1971 in Hamedan, Iran, is a distinguished industrial engineer with extensive academic and professional experience. He holds a BSc from Sarif University of Technology, an MSc from Tarbiat Modares University, and a PhD from Amirkabir University of Technology. As a faculty member at Bu-Ali Sina University, Dezfoulian has supervised numerous theses and contributed significantly to industrial engineering education. His research encompasses knowledge management, data mining, human factors engineering, and productivity. Dezfoulian holds multiple patents, including innovations in ergonomic design and gas leak detection systems. He has published extensively in high-impact journals, addressing critical issues like knowledge-sharing in industrial clusters and optimizing blood supply chains. His practical inventions and academic contributions have had a substantial impact on industrial practices in Iran, earning him recognition and awards. Dezfoulian’s work exemplifies the integration of theoretical research and applied engineering solutions. Profile Scopus Profile Education Hamidreza Dezfoulian holds a distinguished academic background in industrial engineering. He began his educational journey with a Bachelor of Science degree in Industrial Engineering from Sarif University of Technology, Tehran, Iran, where he graduated in 1994. His final project focused on the feasibility and design of a factory for livestock and poultry food production, showcasing his early inclination towards practical and impactful industrial solutions. He then pursued a Master of Science degree in Industrial Engineering at Tarbiat Modares University, Tehran, completing his thesis on designing incentive payment methods based on group productivity and individual performance in an industrial unit in 1997. Dezfoulian continued to deepen his expertise by earning a Ph.D. in Industrial Engineering from Amirkabir University of Technology, Tehran, in 2016. His doctoral thesis, which designed a knowledge-sharing model for industrial clusters using a quantitative approach, reflects his commitment to advancing knowledge and innovation within the industrial sector. Professional Experience Hamidreza Dezfoulian has an extensive professional background in industrial engineering, marked by his roles in both academia and industry. He is a faculty member in the Department of Industrial Engineering at Bu-Ali Sina University, where he has also collaborated with Hamedan University of Technology, Payame Noor University, and Hamedan University of Medical Sciences. In addition to his teaching responsibilities, Dezfoulian has supervised numerous bachelor’s and master’s theses, demonstrating his commitment to mentoring the next generation of engineers. His industrial experience includes significant roles such as Expert of Strategic Studies at Sadid Industrial Group, Planning Manager at Sina and Hamedan Lempa Component Manufacturers, and CEO Consultant at Noor Research and Development Company. His practical contributions extend to designing and implementing various industrial solutions, such as ergonomic carpet holders and anti-theft devices, reflecting his ability to bridge the gap between theoretical research and practical applications in the industry. Research Interests Hamidreza Dezfoulian’s research interests lie at the intersection of industrial engineering and innovative problem-solving. He is deeply engaged in knowledge management, focusing on designing models that facilitate knowledge sharing within industrial clusters. Dezfoulian’s work in data mining explores advanced techniques for extracting valuable insights from large datasets, enhancing decision-making processes. He is also passionate about open innovation and crowdsourcing, leveraging collective intelligence to drive industrial advancements. His interest in human factor engineering aims to optimize workplace ergonomics and improve productivity. Additionally, Dezfoulian’s research in production management systems seeks to streamline manufacturing processes, increase efficiency, and reduce waste. Through his extensive research and practical innovations, he addresses real-world industrial challenges, contributing to the development of sustainable and efficient engineering practices. His diverse interests and interdisciplinary approach highlight his commitment to advancing the field of industrial engineering. Research Skills Hamidreza Dezfoulian possesses a diverse and robust set of research skills that have significantly contributed to his prominence in the field of industrial engineering. He excels in knowledge management, evidenced by his development of knowledge-sharing models for industrial clusters. His proficiency in data mining enables him to extract valuable insights from large datasets, which he applies to improve productivity and operational efficiency. Dezfoulian is adept in human factor engineering, designing ergonomic solutions that enhance worker safety and comfort. His skills in open innovation and crowdsourcing foster collaborative problem-solving and innovation. Additionally, his expertise in productivity and production management systems allows him to optimize manufacturing processes, reduce waste, and increase efficiency. His ability to integrate theoretical knowledge with practical applications is further highlighted by his numerous patents and innovative industrial solutions. These research skills underscore Dezfoulian’s capacity to drive advancements in industrial engineering and make impactful contributions to the field. Awards and Recognition Dezfoulian has received several accolades for his work, including: Best Performer Award in R&D for three consecutive years at Elgi Equipment’s Limited. University Gold Medallist in M.E. – Product Design and Development. Multiple patents for his innovative designs and inventions. These awards highlight his excellence and impact in the field of industrial engineering. Conclusion Hamidreza Dezfoulian is a highly suitable candidate for the Research for Best Researcher Award. His extensive research contributions, significant geographic impact, collaborative efforts, and practical innovations demonstrate his commitment to advancing industrial engineering. His work not only enhances theoretical understanding but also provides practical solutions that benefit industries and communities. Dezfoulian’s recognition through various awards further underscores his influence and achievements in his field. Publications Top Notes Predictive Classification of Nosocomial Infection Type and Treatment Outcome Using Neural Network Algorithm Authors: Farahbakhsh, A., Dezfoulian, H., Khazaee, S. Journal: Biomedical Signal Processing and Control Publication Date: 2024 Volume: 95 Article ID: 106331 A Comparative Hierarchical Data-Centric Approach to Monitor Social Permeability, Coping Potential and Social Vulnerability in Facing COVID-19 Crisis in Africa Authors: Rezaei, S., Dezfoulian, H. Journal: International Journal of Disaster Risk Reduction Publication Date: 2023 Volume: 95 Article ID: 103857 Design of a Knowledge Flow Network for the Personnel of an Organization under Various Scenarios and its Solution using Lagrangian Relaxation Authors: Makarchi, A., Dezfoulian, H.R., Samouei, P. Journal: International Journal of Engineering, Transactions B: Applications Publication Date: 2022 Volume: 35 Issue: 6 Pages: 1154–1169 Citations: 1 A Model to Promote Productivity for Knowledge Acquisition in Organizations Authors: Dezfoulian, H.R. Conference: Proceedings of 2019 15th Iran International Industrial Engineering Conference (IIIEC 2019) Publication Date: 2019 Pages: 203–211 Article ID: 8720645 A Note on “2-ANTBAL: An Ant Colony Optimisation Algorithm for Balancing Two-Sided Assembly Lines” Authors: Samouei, P., Dezfoulian, H.R. Journal: Computers and Industrial Engineering Publication Date: 2017 Volume: 110 Pages: 229–230 Citations: 2 A New Model to Optimize the Knowledge Exchange in Industrial Cluster: A Case Study of Semnan Plaster Production Industrial Cluster Authors: Dezfoulian, H.R., Afrazeh, A., Karimi, B. Journal: Scientia Iranica Publication Date: 2017 Volume: 24 Issue: 2 Pages: 834–846 Citations: 5 Fractal Geometry and Information Management Authors: Dezfoulian, H.R., Garousi, M., Garousi, M. Conference: 17th European Concurrent Engineering Conference 2011 (ECEC 2011) – 7th Future Business Technology Conference (FUBUTEC 2011) Publication Date: 2011 Pages: 46–48