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My research focuses on public policy, governance, data-driven decision-making, public health, sustainability, and AI-enabled public service delivery. Through peer-reviewed publications and applied research projects, I aim to contribute to evidence-based policy solutions that strengthen public institutions, improve community outcomes, and support sustainable development.
AI & Data-Driven Governance
AI & Data-Driven Governance
AI in public service delivery, policy analytics, public sector innovation, and responsible technology adoption.
AI in public service delivery, policy analytics, public sector innovation, and responsible technology adoption.
Public Health & Equity
Public Health & Equity
Health equity, nonprofit organizations, mental health, community violence, and evidence-based public health policy.
Health equity, nonprofit organizations, mental health, community violence, and evidence-based public health policy.
Sustainability & Resilience
Sustainability & Resilience
Sustainable infrastructure, energy systems, disaster preparedness, environmental policy, and community resilience.
Sustainable infrastructure, energy systems, disaster preparedness, environmental policy, and community resilience.
Selected Publications
Selected Publications
1. Forecasting Energy Consumption Trends with Machine Learning Models for Improved Accuracy and Resource Management in the USA
1. Forecasting Energy Consumption Trends with Machine Learning Models for Improved Accuracy and Resource Management in the USA
Journal: Journal of Business and Management Studies, 7(1), 200–217 | 2025
Authors: Saddam Hossain; Muhammad Hasanuzzaman; Miraz Hossain; Mohammad Hamid Hasan Amjad; Md Shihab Sadik Shovon; Md Sazzad Hossain; Md Khalilor Rahman
This study applies machine learning models to forecast energy consumption trends in the United States. The research contributes to data-driven energy planning by improving forecasting accuracy and supporting better resource management decisions for public infrastructure and energy systems.
Focus Areas: Machine Learning, Energy Forecasting, Resource Management, Public Infrastructure
2. Towards Sustainable Urban Energy Systems: A Machine Learning Approach with Low-Voltage Smart Grid Planning Data
2. Towards Sustainable Urban Energy Systems: A Machine Learning Approach with Low-Voltage Smart Grid Planning Data
Journal: International Journal of Applied Mathematics, 38(8s), 1115–1155 | 2025
Authors: Md Shihab Sadik Shovon; Muhammad Hasanuzzaman; Saddam Hossain; Aashish KC; Badruddowza; Md Shohail Uddin Sarker; Ali Hassan; Mohammad Hamid Hasan Amjad; Md Ariful Islam Bhuiyan; SK Ayub Al Wahid
This paper examines how machine learning can support sustainable urban energy systems using low-voltage smart grid planning data. It highlights the role of predictive analytics in improving infrastructure resilience, energy planning, and uncertainty-aware decision-making in modern cities.
Focus Areas: Smart Grid Planning, Sustainable Energy, Infrastructure Resilience, Machine Learning
3. Intelligent Streetlight Control System Using Machine Learning Algorithms for Enhanced Energy Optimization in Smart Cities
3. Intelligent Streetlight Control System Using Machine Learning Algorithms for Enhanced Energy Optimization in Smart Cities
Journal: Journal of Ecohumanism, 4(4), 543–564 | 2025
Authors: Shah Alam; Faiaz Rahat Chowdhury; Md Sakibul Hasan; Saddam Hossain; Tanaya Jakir; Arat Hossain; Arifur Rahman; Mohammad Nazmul Hossain; Syed Nurul Islam
This study explores the use of machine learning algorithms to improve streetlight control systems in smart cities. The research supports adaptive urban energy management by showing how intelligent infrastructure can reduce energy waste and improve operational efficiency.
Focus Areas: Smart Cities, Energy Optimization, Urban Infrastructure, Machine Learning
4. Enhancing Disaster Management through AI-Driven Predictive Analytics: Improving Preparedness and Response
4. Enhancing Disaster Management through AI-Driven Predictive Analytics: Improving Preparedness and Response
Journal: International Journal of Advanced Engineering Technologies and Innovations, 1(1), 533–562 | 2023
Authors: Muhammad Hasanuzzaman; Saddam Hossain; Sanjib Kumar Shil
This research examines how AI-driven predictive analytics can strengthen disaster preparedness and emergency response systems. It contributes to public-sector disaster management by emphasizing early risk detection, resource allocation, and improved decision-making under crisis conditions.
Focus Areas: Disaster Management, Predictive Analytics, Public Sector Preparedness, AI Applications
5. Global Plastic Waste Management: Analyzing Trends, Economic and Social Implications, and Predictive Modeling Using Artificial Intelligence
5. Global Plastic Waste Management: Analyzing Trends, Economic and Social Implications, and Predictive Modeling Using Artificial Intelligence
Journal: Journal of Environmental and Agricultural Studies, 5(3) | 2024
Authors: Syed Ali Reza; Muhammad Shoyaibur Rahman Chowdhury; Saddam Hossain; Muhammad Hasanuzzaman; Reza E Rabbi Shawon; Bivash Ranjan Chowdhury; MD Sohel Rana
This paper analyzes global plastic waste trends and examines their economic, social, and environmental implications. Using artificial intelligence and predictive modeling, the study contributes to policy-relevant environmental planning and sustainable waste management strategies.
Focus Areas: Plastic Waste, Sustainability, Environmental Policy, Predictive Modeling
6. Assessing Geopolitical Risks and Their Economic Impact on the USA Using Data Analytics
6. Assessing Geopolitical Risks and Their Economic Impact on the USA Using Data Analytics
Journal: Journal of Economics, Finance and Accounting Studies, 6(6), 05–16 | 2024
Authors: Reza E Rabbi Shawon; Hossain Mohammad Dalim; Sanjib Kumar Shil; Nisha Gurung; Muhammad Hasanuzzaman; Saddam Hossain; Tauhedur Rahman
This study applies data analytics to assess geopolitical risks and their economic implications for the United States. The research contributes to policy-relevant risk analysis by connecting global instability, economic vulnerability, and data-informed decision-making.
Focus Areas: Geopolitical Risk, Economic Impact, Data Analytics, U.S. Policy
7. AI-Driven Predictive Modeling for Banking Customer Churn: Insights for the U.S. Financial Sector
7. AI-Driven Predictive Modeling for Banking Customer Churn: Insights for the U.S. Financial Sector
Journal: Journal of Ecohumanism, 4(1), 3478–3497 | 2025
Authors: Md Sohel Rana; Anchala Chouksey; Saddam Hossain; Md Sumsuzoha; Proshanta Kumar Bhowmik; Miraz Hossain; Md Fazlay Rabby; Nisha Gurung; MD Abdul Fahim Zeeshan
This study uses AI-driven predictive modeling to examine customer churn in the U.S. financial sector. The research demonstrates how data analytics can help institutions identify risk patterns, improve retention strategies, and support evidence-based decision-making.
Focus Areas: Predictive Modeling, Financial Sector, Data Analytics, Institutional Decision-Making
8. Analyzing Trends and Determinants of Leading Causes of Death in the USA: A Data-Driven Approach
8. Analyzing Trends and Determinants of Leading Causes of Death in the USA: A Data-Driven Approach
Journal: The American Journal of Medical Sciences and Pharmaceutical Research, 6(12), 54–71 | 2024
Authors: Saddam Hossain; Mohammed Nazmul Islam Miah; MD Sohel Rana; Md Sazzad Hossain; Proshanta Kumar Bhowmik; Md Khalilor Rahman; Rabeya Akter
This research analyzes trends and determinants of leading causes of death in the United States using a data-driven approach. The study contributes to public health policy by identifying mortality patterns and supporting evidence-based planning for health interventions.
Focus Areas: Public Health, Mortality Trends, Data Analysis, Health Policy
9. The Impact of Community Violence on Mental Health Outcomes in Urban Populations
9. The Impact of Community Violence on Mental Health Outcomes in Urban Populations
Journal: American Journal of Physical Education and Health Science, 4(1), 24–32 | 2026
Authors: Saddam Hossain; Tamim Anowar; Md. Halimuzzaman; Md Mehedi Hasan; Kholilur Rahman
This study investigates how exposure to community violence affects mental health outcomes in urban populations. It connects public policy, public health, equity, and urban governance by highlighting the need for stronger mental health services and community-based interventions.
Focus Areas: Community Violence, Mental Health, Urban Policy, Public Health Equity
10. Sustainable Approaches to Medical Waste Management for Better Public Health Outcomes
10. Sustainable Approaches to Medical Waste Management for Better Public Health Outcomes
Journal: International Journal of Social Science Research and Review, 9(1), 46–62 | 2025
Authors: Mahadi Hasan Shahid; Saddam Hossain; Md. Hasan Chowdhury; Md Mehedi Hasan; Mohammad Rezaul Karim
This paper examines sustainable approaches to medical waste management and their importance for public health outcomes. The study supports policy discussions on environmental safety, healthcare governance, and sustainable waste-management practices.
Focus Areas: Medical Waste Management, Public Health, Sustainability, Environmental Governance
11. The Innovations and Trends of Information Technology with AI: Weapons to Reassemble the Future World
11. The Innovations and Trends of Information Technology with AI: Weapons to Reassemble the Future World
Journal: Journal of Computer and Communications, 12, 34–54 | 2024
Authors: Nur Vanu; Md Omar Farouk; Md Samiun; Sadia Sharmin; Misha Billah; Saddam Hossain
This article explores innovations and trends in information technology and artificial intelligence. The research contributes to discussions on digital transformation, emerging technologies, and the governance implications of AI-enabled systems.
Focus Areas: Artificial Intelligence, Information Technology, Digital Transformation, Technology Governance
12. Bridging the Health Equity Gap: The Role of Nonprofit Organizations in the United States and Bangladesh
12. Bridging the Health Equity Gap: The Role of Nonprofit Organizations in the United States and Bangladesh
Journal: Journal of Asian Business Strategy, 16(1), 18–37 | 2026
Authors: Mengzhong Zhang; Saddam Hossain
This study examines how nonprofit organizations help reduce health disparities in the United States and Bangladesh. It contributes to public administration and comparative policy research by highlighting the role of nonprofits in expanding access, improving service delivery, and advancing health equity.
Focus Areas: Health Equity, Nonprofit Organizations, Comparative Governance, Public Administration
Accepted & Forthcoming Work
Accepted & Forthcoming Work
Assessing the Impact of Critical Success Factors on the Effectiveness of Accounting Information Systems under ERP Environment
Accepted / journal information forthcomingBlockchain and Risk Management in Sustainable Finance Ecosystems
Accepted book chapter, IGI Global Scientific Publishing
Ongoing Research
Ongoing Research
Artificial Intelligence in Public Service Delivery: Governance Challenges, Administrative Capacity, and Equity Implications
Enhancing Cybersecurity Workforce in the U.S. Public Sector
Community Violence and Mental Health Outcomes in Urban Populations
Sustainable Medical Waste Management for Better Public Health Outcomes
Data-Driven Approaches to Public Health and Policy Evaluation
Interested in research collaboration?
I welcome opportunities to collaborate on public policy, governance, public health, sustainability, and AI-enabled public sector research.
Contact MeInterested in research collaboration?
I welcome opportunities to collaborate on public policy, governance, public health, sustainability, and AI-enabled public sector research.
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