Mohammad Zoynul Abedin
Dalian University of Technology
Abedin holds BBA and MBA, major in Finance, from University of Chittagong, Chittagong 4331, Bangladesh.
Currently, he is an Investment Theory Doctoral candidate, Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China. He has been working since 2013.09 under the project of National Natural Science Foundation of China, having titled ‘Quantitative Financial Risk Management for Asian Integration (Grant # 71171031) and Small Business Loan Pricing Model Based on Default Risk Pyramid Principle (Grant #71471027)’. Along with, he is also responsible for the research affairs with managing and reporting of the project of: (1) Credit Risk Evaluation Systems of Small Enterprises in Liaoning Province (Grant # 16BTJ017), a project from the National Social Science Foundation of China; and (2) Risk Management of Commercial Banks (Grant # L16BJY016), a project from the Social Science Foundation of Liaoning Province of China.
In addition, Abedin is an Associate Professor, Department of Finance and Banking, Hajee Mohammad Danesh Science and Technology University, Dinajpur 5200, Bangladesh.
He has totaled twenty-four peer reviewed publications, and his recent manuscripts have been published on the Web of Science Database, for example, Journal of Business Economics and Management, Risk Management: an international journal.
Recently, he was honored research excellence awards 2014 and 2015 from One Asia Foundation, Japan.
His research interests include: Financial Risk Management, Risk Management of P2P Lending, Bankruptcy Prediction, Data Mining, Financial Application of Artificial Intelligence, Big Data in Finance, Class Imbalance Problems.
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In this study, the authors address the fact that the ranking of classifiers varies for different criteria with measures under different circumstances, by proposing the simultaneous application of support vector machine and probabilistic neural network …