Faroque Ahmed | Economics, Econometrics and Finance | Best Researcher Award

Mr Faroque Ahmed, Ural Federal University, Russia, Russia

🎓 Faroque Ahmed holds a Master’s in Statistics from Islamic University, Kushtia-Jhinaidah (2015), securing first class first position with a CGPA of 3.91. He also earned a Bachelor’s in Statistics from the same institution (2014), achieving first class second position with a CGPA of 3.84. Faroque completed his secondary education with top grades. 📊 Currently, he is a PhD researcher at Ural Federal University, Russia, and a Senior Research Associate at Bangladesh Institute of Governance and Management. He has experience as a Research Assistant in credit card fraud detection using machine-learning. His research interests include development studies, financial economics, data mining, and econometric modeling. 🌍📈

Publication profile

Scopus

Education

🎓 With a Master of Science (M.Sc.) in Statistics from Islamic University, Kushtia-Jhinaidah, I achieved a Grade ‘A’ and a CGPA of 3.91, graduating first in my class in 2017. My Bachelor of Science (B.Sc.) in Statistics from the same institution was also distinguished, with a Grade ‘A’ and a CGPA of 3.84, securing second place in 2016. 📊 My academic journey began at Masjid Mission Academy in Rajshahi, where I excelled in my Secondary School Certificate (S.S.C.) with a Golden ‘A+’. 🏅 Additionally, I completed my Higher Secondary School Certificate (H.S.C.) at New Govt. Degree College, Rajshahi, earning a perfect GPA of 5.00. 🌐 I have an IELTS score of 6.0 across all sections, proving my proficiency in English.

Experience

Currently, a PhD researcher at the Laboratory of International & Regional Economics (LIRE) at the Graduate School of Economics and Management (GSEM), Ural Federal University, Yekaterinburg, Russia, since 2022. Serving as a Senior Research Associate at the Bangladesh Institute of Governance and Management (BIGM), affiliated with the University of Dhaka, since 2019. Previously worked as a Research Assistant at the Quantitative Financial Economic Development (QFED) Lab, Dept. of Statistics, Islamic University, Kushtia, Bangladesh, from 2016 to 2019, focusing on credit card fraud detection using machine-learning algorithms under the supervision of Associate Professor Md. Altaf Hossain. 📊🧠🌍

Awards

In 2017-18, a UGC research grant was awarded for a master’s student project focused on the socio-economic effects of remittance on Bangladeshi migrant households. The project was supervised by Md. Altaf Hossain, an Associate Professor at Islamic University, Kushtia, Bangladesh. Additionally, in 2017, the student participated in Big Data Analytics Training under the LICT project of the ICT Ministry, People’s Republic of Bangladesh, enhancing their skills in data analysis and technology applications. This combination of research and training provided a strong foundation for understanding the economic impacts of remittance and advanced data analysis techniques. 📚💻🌏

Research focus

Dr. F. Ahmed’s research spans several critical areas within the realm of socio-economic and environmental studies. His work focuses on the intersection of AI-powered technology, energy consumption, and geopolitical risks, particularly in regions like Singapore. Additionally, Dr. Ahmed explores global green finance impacted by geopolitical tensions, and health outcomes influenced by socio-economic factors in Bangladesh. He delves into the dynamics of economic growth and environmental pollution, while also examining social behaviors during the COVID-19 pandemic. His contributions extend to machine learning applications in predicting individual risk preferences and detecting credit card fraud. 📊🌍🔬💡🌱

Publication top notes

Robot race in geopolitically risky environment: Exploring the Nexus between AI-powered tech industrial outputs and energy consumption in Singapore

Semi-Supervised Machine Learning Method for Predicting Observed Individual Risk Preference Using Gallup Data

Assessing the impact of Russian–Ukrainian geopolitical risks on global green finance: a quantile dependency analysis

An inquiry into the achievements in health outcomes of Bangladesh: role of health expenditure, income, governance and female education

Integration of theory of planned behavior into actual social distancing behavior amid Covid-19

Economic growth and environmental pollution nexus in Bangladesh: revisiting the environmental Kuznets curve hypothesis

An analysis of energy, environment and economic growth (EEE) nexus: a 2SLS approach

Creative social media use for Covid-19 prevention in Bangladesh: a structural equation modeling approach

A comparative study of credit card fraud detection using the combination of machine learning techniques with data imbalance solution