View: session overviewtalk overview
Each presentation is allotted a 15-minute slot, broken down as follows: 10 minutes for the presentation itself, followed by a 3-minute Q&A session, and a 2-minute transition to the next presentation.
| 10:00 | Disaggregated Impact of Non-Renewable Energy Consumption on the Environmental Sustainability of the United States: A Novel Dynamic ARDL Approach PRESENTER: Tanmoy Kumar Ghose |
| 10:15 | Livelihood Diversification as an Enduring Form of Anticipatory Action of Flood for the Farmers of Bangladesh PRESENTER: Bibi Panjatul Kubra |
| 10:30 | Mitigating Climate Change Impacts on Agriculture: A Comparative Study between Bangladesh and Japan PRESENTER: Mohd Basheer |
| 10:45 | Assessment of Joint Forces on the Lower Back During Bricklaying Tasks PRESENTER: Md. Sumon Rahman |
Each presentation is allotted a 15-minute slot, broken down as follows: 10 minutes for the presentation itself, followed by a 3-minute Q&A session, and a 2-minute transition to the next presentation.
| 10:00 | Role of Japan in Bangladesh-based Research |
| 10:15 | Child Marriage in Bangladesh (1960-2016): Historical Trends, Natural calamities, Policy Interventions, and Socioeconomic Impact PRESENTER: Md Mahfuzur Rahman |
| 10:30 | Development of a β-Cyclodextrins/Cationic Surfactants Based Supramolecular System: Interactions with a Phenothiazinyl Drug PRESENTER: Most. Israt Jahan |
| 10:45 | Comparison of Conventional Methods for Manufacturing Process Optimization PRESENTER: Md Tahiduzzaman |
Plenary Speaker:
Md Moshiur Rahman
- Associate Professor, Graduate School of Biomedical and Health Sciences, Hiroshima University, Japan
- Ph.D. in Medical Sciences, Kanazawa University, Japan
Plenary Topic:
Enhancing Adolescent Reproductive Health in Rural Bangladesh: Anemia Prevalence, Associated Factors, and the Role of mHealth Interventions
Abstract:
Adolescent reproductive health in rural areas of developing countries faces several interconnected challenges, affecting both health and social outcomes. In many rural regions, educational programs are limited or absent about menstruation, contraception, and other health topics, resulting in misinformation or a complete lack of awareness. Anemia is a significant public health challenge, especially among adolescent girls in rural Bangladesh, largely due to limited nutritional knowledge and poor dietary intake. This study evaluated the effects of a mobile health (mHealth) education intervention aimed at increasing hemoglobin levels, improving knowledge, attitudes, and practices (KAP) related to anemia, and fostering healthier lifestyles among adolescent girls in rural Bangladesh. In this school-based randomized control trial, 138 adolescent girls with anemia were randomized into intervention (n=69) and control (n=69) groups. The intervention group received mHealth-based counseling and health education over eight months, while the control group received standard care. Primary outcomes included increased hemoglobin levels and anemia reduction, while secondary outcomes assessed improvements in KAP, BMI, mid-upper arm circumference, and hip and waist measurements. Results showed significant hemoglobin increases in the intervention group, with a 25.8% recovery rate compared to 13.6% in the control group. Additionally, the intervention group demonstrated significant improvements in BMI, body measurements, and KAP scores related to anemia. These findings highlight mHealth’s potential as an effective tool in addressing anemia in rural Bangladeshi adolescents, supporting broader implementation of mobile health interventions for improving adolescent health in low- and middle-income settings. This study also investigated irregular menstruation among adolescent girls in rural Bangladesh, finding a 22% prevalence. Abdominal obesity was a significant risk factor, while a father’s education was a protective factor. The study highlights the need for school-based health screenings, nutrition and lifestyle education, and reproductive health awareness for adolescents.
Each presentation is allotted a 15-minute slot, broken down as follows: 10 minutes for the presentation itself, followed by a 3-minute Q&A session, and a 2-minute transition to the next presentation.
| 13:00 | Recent trends in the development and management of the social business sector in Bangladesh |
| 13:15 | Disparity in the prevalence of anemia among non-pregnant women in 49 low- and middle-income countries from 2011-2021 PRESENTER: Mdrashedul Islam |
| 13:30 | Improving MnO2/ Porous Carbon Nanocomposites Electrocatalytic Oxygen Reduction Performance by Surface Modification Using Protic Ionic Liquid for Fuel Cell PRESENTER: Md. Enamul Kabir |
| 13:45 | Design and Development of a Weather Balloon-Launched CubeSat Prototype for Atmospheric Data Collection PRESENTER: Muhammad Sharif |
Each presentation is allotted a 15-minute slot, broken down as follows: 10 minutes for the presentation itself, followed by a 3-minute Q&A session, and a 2-minute transition to the next presentation.
| 13:00 | Comparative Analysis of Infrastructure Diplomacy in South Asia: Assessing the Impact of China’s Belt and Road Initiative and Japan’s Free and Open Indo-Pacific Strategy |
| 13:15 | Hybrid Energy-Based Battery Storage Swapping Station for Electrical Vehicles and Net Metering in Bangladesh  PRESENTER: Atia Afsana |
| 13:30 | Molecular Dynamics Investigation of Nanostructure and Characterization of AlxCoCrFeNi High Entropy Alloy PRESENTER: Munirul Alam |
| 13:45 | Comparative study of jute, coir and bamboo fibers based on uncertain data PRESENTER: Sweety Shahinur |
Plenary Speaker:
Md. Shoaib Bhuiyan
- Professor, Faculty of Medical Engineering, Suzuka University of Medical Science, Japan
- Ph.D. in Electrical and Computer Engineering, Nagoya Institute of Technology, Japan
Plenary Topic:
How artificial intelligence (AI) is changing healthcare and related fields
Abstract:
Artificial intelligence (AI) is rapidly transforming healthcare by improving patient experience, advancing population health, lowering costs, and supporting care team well-being. This talk will introduce machine learning (ML) and deep learning (DL) as core components of AI, illustrating how these technologies shift from traditional programming to data-driven learning. Key ML concepts, including supervised and unsupervised learning and classification workflows, will be explored to demonstrate how data is imported, preprocessed, and applied in predictive models. These tools enable AI to support real-world healthcare applications, such as enhancing diagnostic accuracy, personalizing treatments, and improving resource management. Alongside these advancements, ethical and regulatory considerations are essential, as AI’s integration into healthcare raises issues of data privacy, fairness in algorithms, and the need for robust regulatory frameworks. These measures are crucial for fostering trust and ensuring equitable access to AI-driven healthcare solutions. Consistent with healthcare’s four primary aims—improved patient experience, population health, lower costs, and care team well-being—this shift to data-centric approaches holds meaningful implications across healthcare sub-disciplines, driving a new era of innovation and care delivery.