DESIGN THE FUTURE

Research Insights

Welcome to my research portfolio, where I present a collection of my scholarly contributions across interdisciplinary fields including supply chain resilience, heat transfer, digital data protection, and numerical computation. My work is grounded in both theoretical analysis and practical application, addressing global challenges such as pandemic-induced disruptions, complex fluid mechanics, and cybersecurity. Each publication reflects my commitment to advancing knowledge, solving real-world problems, and contributing to the scientific and academic communities. Explore the summaries below to learn more about the scope, impact, and innovation behind each of my peer-reviewed research publications.

1. Envisioning Supply Chain Recovery Post Covid-19 Across Industries
Published in the Journal of Supply Chain Management System, this study by Amir Husen and Mansura Nusrat (2022) investigates the disruptions caused by the COVID-19 pandemic across multiple industries. The paper identifies sector-specific challenges and proposes strategic frameworks for resilient supply chain recovery. Using case analysis and industry insights, the authors highlight digital transformation, agile logistics, and risk diversification as key recovery pillars. The research emphasizes the importance of collaboration between stakeholders and adaptive planning to mitigate future global crises and ensure long-term supply chain sustainability in a post-pandemic world.

My Contributions

2. Skin Friction and Heat Transfer in Combined Convection from a Sphere to a Non-Newtonian Fluid
Published in Dhaka University Journal of Science (2017), this paper by Nepal C. Roy and Amir Husen explores the heat transfer and skin friction characteristics involved in combined convection over a sphere submerged in a non-Newtonian fluid. The authors derive mathematical models using boundary layer theory and present numerical solutions for varying fluid properties. The results offer significant insights into industrial processes involving polymeric and slurry-type fluids. This study contributes to engineering design improvements in heat exchangers and chemical reactors where complex fluid behaviors and thermal control are critical.

3. Copyright Protection of Digital Data Using Watermarking Algorithm of Support Vector Machine
In this 2014 paper published by the Journal of Dhaka International University, authors Md. Habibullah Belali, K. M. Ibrahim Khalilullah, and Amir Husen introduce a novel watermarking approach using Support Vector Machines (SVM) for digital copyright protection. The method enhances data security by embedding imperceptible watermarks into digital content and applying SVM to verify authenticity and ownership. The research demonstrates high resistance to signal distortion and attacks, making it valuable for safeguarding multimedia content. This work significantly advances the field of digital forensics and intellectual property protection in the era of widespread content sharing.

4. A Combined Approach for Finding the Accurate Value of Numerical Integration
This 2013 paper, published in the Rabindra Journal, features the work of Amir Husen, Md. Maruf Hasan, and Dr. Md. Mubarak Hossain on improving numerical integration accuracy. The study proposes a hybrid method that integrates Simpson’s and trapezoidal rules to enhance the precision of approximating definite integrals. Analytical comparisons show superior accuracy over traditional techniques, especially in non-linear and oscillatory function applications. This research contributes to computational mathematics and has practical implications in physics, engineering simulations, and quantitative finance where integral calculations are critical.