Faculty Members Publications

Halim, L.B., & Tabassum, M. (2024). Assessing the Impact of Maternal and Newborn Care on Neonatal Mortality: Evidence from Bangladesh Demographic and Health Survey 2017-18. Bangladesh Students’ Digest on Economics and Development, 5, 44-71

10) Akter, S., Kawsar, M., & Khan, S. Y. (2026). The Significance and Ramifications of Neuromarketing Strategies: An Investigation of Consumer Behavior Analysis, Prediction, and Purchase Intent Assessment. Human Behavior and Emerging Technologies, 2026(1), 7989523. Publisher: Wiley. Scopus Indexed. (Q1; Impact Factor: 3.0) https://doi.org/10.1155/hbe2/7989523

9) Kawsar, M., Akter, S., Satata, F.F. and Akata, F.F. (2026). The Psychological Cost of Hyperconnectivity: Exploring Digital Burnout and Productivity among Gen Z Professionals in Bangladesh Integrating SDG 3 and 8 (Accepted). Romanian Journal of Economics (EBSCO Indexed, International Peer-reviewed Journal) The Institute of National Economy, Romania.

8) Akter, S., Kawsar, M., Huda, A. D., Ashrafi, T., and Hasan, M.M. (2026). The Influence of Social Media Influencers on Travel-Related Behavioral Intentions among Social Media Users in Bangladesh: An Examination through the S-O-R Framework (Accepted). Journal of Quantitative Methods for Economics and Business Administration. SCOPUS Indexed (Q4). 

7) Kawsar, M. and Sun, T.M. (2026). The Human–Digital Nexus: Ethical AI, Pervasive Connectivity, and Their Implications for Societal Well-Being and Economic Development (Accepted). Romanian Journal of Economics (EBSCO Indexed, International Peer-reviewed Journal) The Institute of National Economy, Romania.

6) Sakib, M. N., Kawsar, M., Bithee, M. M. (2025). Continuous Improvement through Lean Six Sigma: A Systematic Literature Review and Bibliometric Analysis. International Journal of Lean Six Sigma, Emerald Publication, Scopus Indexed (Q1; Impact Factor: 3.7). https://doi.org/10.1108/IJLSS-08-2024-0173

5) Sakib, M. N., Rahman, M. M., Younus, M., Kawsar, M., & Terano, H. J. (2025). A Sixteenth-Year Journey of Technology Acceptance Model Research: Bibliometric Analysis. Journal of Engineering and Emerging Technologies. 4(1). 1-17. An International Peer-Reviewed Scholarly Journal Affiliated with Camarines Sur Polytechnic Colleges, Camarines Sur, Philippines. http://doi.org/10.52631/jeet.v4i1.303

4) Kawsar, M., Akter, S. and Satata, F.F. (2025). Integrating Digital Twin Technology for Dual Goals: Sustainable Heritage Management and Environmental Sustainability in Bangladesh to attain SDGs 11 and 13 (Accepted). Romanian Journal of Economics (EBSCO Indexed, International Peer-reviewed Journal). The Institute of National Economy, Romania. 

3) Kawsar, M. (2026). Unveiling the effect of effort expectancy on the adoption of HRIS in Bangladeshi banking sector: The mediating role of behavioral intention. Dhaka University Journal of Management, 17(1), 151–168. https://doi.org/10.57240/DUJM.V17N1A7

2) Kawsar, M., Satata, F. F., & Wahid, A. E. (2024). Being Fair to Customers: A Strategy in Enhancing Customer Engagement and Loyalty in the Bangladeshi Mobile Telecommunication Industry. Shanlax International Journal of Management, 11(3), 1-10. ISSN: 2581-9402. International Peer-reviewed Scholarly Indexed Quarterly Journal.

1) Satata, F. F., Islam, M., Kawsar, M., & Dhara, S. Z. (2023). Exploring the Drivers of Social Media Marketing in Bangladeshi Islamic Banks. Business Studies Journal, 15(6), 1-13. ISSN: 1944-6578. International Peer-reviewed Scholarly Indexed Quarterly Journal.

6) Kawsar, M., Akter, S., Satata, F.F., and Akata, F.F (2026, June 11–12). The Psychological Cost of Hyperconnectivity: Exploring Digital Burnout and Productivity Among Gen Z Professionals in Bangladesh [Conference Presentation]. International Conference "Resilience and competitiveness of the national economies – under the sign of creativity, crisis and conflicts"- RESILNAT-3C 2026 Edition – SHIFTING THE ECONOMIC DEVELOPMENT MODELS IN THE CONTEXT OF FRAGILE RESILIENCE, GEOECONOMIC CONFRONTATION, DEBT-DRIVEN CONSTRAINTS, AND COST-OF-LIVING SQUEEZE, under topic-6 (THE NEW PATH FOR DIGITAL PROGRESS AND IMPACT IN OUR LIFE), June 11-12, 2026, Bucharest, ROMANIA.  http://ien.ro/content/resilnat-3c-conference-conferinta-resilnat-3c

5) Asadullah, J. M., Akter, S., Toma, N. J., and Kawsar, M. (2026, June 11–12). Leveraging Artificial Intelligence for Sustainable Waste Management and Circular Economy Optimization: A Qualitative Exploration within the Framework of SDG 9 and SDG 12 [Conference presentation]. International Conference "Resilience and competitiveness of the national economies – under the sign of creativity, crisis and conflicts"- RESILNAT-3C 2026 Edition – SHIFTING THE ECONOMIC DEVELOPMENT MODELS IN THE CONTEXT OF FRAGILE RESILIENCE, GEOECONOMIC CONFRONTATION, DEBT-DRIVEN CONSTRAINTS, AND COST-OF-LIVING SQUEEZE, under topic-4 (NATURE-BASED SOLUTIONS, GREEN CITIES AND CIRCULAR ECONOMY), June 11-12, 2026, Bucharest, ROMANIA. http://ien.ro/content/resilnat-3c-conference-conferinta-resilnat-3c

4) Kawsar, M. and Imtiaz, A. (2026, June 11–12). Reverse Factoring as a Supply Chain Resilience Instrument in Emerging Economies: Evidence from Secondary Data on Trade Finance Constraints and Institutional Readiness (2015–2025) [Conference Presentation]. International Conference "Resilience and competitiveness of the national economies – under the sign of creativity, crisis and conflicts"- RESILNAT-3C 2026 Edition – SHIFTING THE ECONOMIC DEVELOPMENT MODELS IN THE CONTEXT OF FRAGILE RESILIENCE, GEOECONOMIC CONFRONTATION, DEBT-DRIVEN CONSTRAINTS, AND COST-OF-LIVING SQUEEZE, under topic-2 (FINTECH FOR ECONOMIC RESILIENCE), June 11-12, 2026, Bucharest, ROMANIA. http://ien.ro/content/resilnat-3c-conference-conferinta-resilnat-3c

3) Kawsar, M. and Sun, T. M. (2026, June 11–12). The Human-Digital Nexus: Redefining Societal Well-Being Through Ethical AI and Pervasive Connectivity [Conference Presentation]. International Conference "resilience and competitiveness of the national economies – under the sign of creativity, crisis and conflicts"- RESILNAT-3C 2026 Edition – SHIFTING THE ECONOMIC DEVELOPMENT MODELS IN THE CONTEXT OF FRAGILE RESILIENCE, GEOECONOMIC CONFRONTATION, DEBT-DRIVEN CONSTRAINTS, AND COST-OF-LIVING SQUEEZE, under topic-6 (THE NEW PATH FOR DIGITAL PROGRESS AND IMPACT IN OUR LIFE), June 11-12, 2026, Bucharest, ROMANIA. http://ien.ro/content/resilnat-3c-conference-conferinta-resilnat-3c

2) Kawsar, M., Akter, S. and Satata, F.F. (2025, October 30-31). The Dual-Purpose Digital Twin: Leveraging Virtual Models for Sustainable Heritage Management and Reduced Environmental Footprint [Conference Presentation]. INTERNATIONAL CONFERENCE "HERITAGE CAPITALISATION AND DEVELOPMENT-IDENTITY, INNOVATION, DIGITALISATION, ENVIRONMENT, AWARENESS AND SECURITY" - (HERITAGE – IIDEAS) 2025, under topic-5. INNOVATION IN HERITAGE CAPITALIZATION IN THE CONTEXT OF TWIN TRANSITION (GREEN & DIGITAL). ROMANIA. https://www.ien.ro/content/heritage-iideas-conference

1) Sakib, M. N., Rahman, M. N., Younus, M., & Kawsar, M. (2023, November 28–29). A sixteenth-year journey of technology acceptance model research: Bibliometric analysis [Conference presentation]. 3rd International Multidisciplinary Conference on Engineering and Technology, Education, Management and Development Studies (IMCETEMDS), Camarines Sur Polytechnic Colleges, Philippines.

6) Completed certified faculty teaching training program on “Training on Teaching, Learning, and Research (TLR)” organized by Institutional Quality Assurance Cell (IQAC) in collaboration with East West University Center for Research and Training (EWUCRT).  April 2025-August, 2025.

5) Completed a 3-month (48-hour) advanced training program on "Research Methodology: Basic to Advanced" organized by Research Help Bangladesh (RHB), Bangladesh, held on 15 September-15 December, 2024.

4) Attended one-day workshop on “Academic Excellence Research Summit–2024 under Industry Partnership and Alignment Workshop (IPAW)” patronized by the Institutional Quality Assurance Cell (IQAC), University of Dhaka, and the Dhaka University Entrepreneurship Development Club (DUEDC). 10 November, 2024.

3) Attended in an intensive professional training program on “Research Methodology & Paper Publication (with SPSS and AMOS Basics)”, comprising 18 contact hours across 9 structured sessions organized by MAWBiz eLearning, Bangladesh, held on 24 February-05 May, 2023.

2) Attended in an online research and statistical training course on “Research for Beginners: Writing, Publishing, and Freelancing” & “Freelancing with Statistical Data Analysis” organized by Instructory platform, Bangladesh, held on 9 December-19 December, 2022.

1) Participated in a workshop on "Systematic Literature Review (SLR)" facilitated by faculty of Universiti Sains Malaysia (USM), Malaysia, held on 12 May, 2021. 

3) Kawsar, M., Akter, S., Asadullah, J. M., and  Satata, F. F. (2026). Ethical Implications of Generative AI in Advertising: Exploring Consumer Behavior through the Theory of Planned Behavior in Bangladesh. In Ethical Risks, Consumer Trust, and Human Capital Implications of AI in Marketing. IGI Global Scientific Publishing [Accepted, Scopus Indexed].

2) Akter, S., Kawsar, M., and Satata, F.F. (2026). Part-I: Displacement, Inequality, and Educational Exclusion in the Climate Crisis. Interdisciplinarity as Method and Mandate: Re-mapping Education in an Era of Climate Displacement (Accepted), Chapter 4 in the Edited book, Global Justice and Sustainability: Education at the Intersections of Environment and Migration. Publisher: Springer Nature. SCOPUS Indexed.

1) Akter, S., Asadullah, J. M., and Kawsar, M. (2026). Part-V: Comparative Case Studies and Global Perspectives. From Labor Migration to Rural Regeneration: Remittances, Returnee Capital, and Institutional Pathways for Green Transformational in Bangladesh (Accepted), Chapter 13 in the Edited book, Reverse Migration and Inclusive Futures: Sustainability, Education, and Social Justice in a Changing World. Publisher: Springer Nature. SCOPUS Indexed. 

Reviewer Certificate, Indian Journal of Science and Technology (Scopus-Indexed, Q2)

1. The Role of Business School Accreditation in Employability of Graduates from the Context of Universities in Bangladesh

Position: Corresponding Author

Research Grant: The project will be funded by the Center for Research and Training, East West University (EWUCRT), 2026, Under review

Status: Under Review

• Indian Journal of Science and Technology (INDJST), Indian Society for Education and Environment (iSee) publishing (Scopus Indexed).

1. Conversational AI and Cultural Sensitivity: Assessing its Role in Addressing Halal Travel Concerns and Boosting Destination Trust using PLS SEM Analysis under Push-Pull Lens

2. Leveraging Artificial Intelligence for Sustainable Waste Management and Circular Economy Optimization: A Qualitative Exploration within the Framework of SDGs 9 and 12.

Siddiqui, A. A., Asadullah, J. M., & Toma, N. J. (2026). Expansion Without Financial Deepening? Growth, Outreach, and Operational Performance of Bank-Led Islamic Microfinance in Bangladesh. Economies, 14(10), 492. https://doi.org/10.3390/economies14100492 (Scopus-Q1 [CiteScore 5.2]; WoS-ESCI, JCR-Q2 [IF 2.3]; SJR-Q2; EconLit; DOAJ; RePEc; EconBiz)

Akter, S., Asadullah, J. M., and Kawsar, M. (2026). From Labor Migration to Rural Regeneration: Remittances, Returnee Capital, and Institutional Pathways for Green Transformation in Bangladesh. Chapter 13 (Part V: Comparative Case Studies and Global Perspectives) in the Edited Book, Reverse Migration and Inclusive Futures: Sustainability, Education, and Social Justice in a Changing World. Springer Nature (Scopus-indexed). [Accepted]

Kawsar, M., Akter, S., Asadullah, J. M., & Satata, F. F. (2026). Ethical Implications of Generative AI in Advertising: Exploring Consumer Behavior through the Theory of Planned Behavior in Bangladesh. In Ethical Risks, Consumer Trust, and Human Capital Implications of AI in Marketing. IGI Global (Scopus-indexed). [Accepted]

Tanha, M., Al Sabahel, M., Amin, M.R., Khandakar, M.S., Bhuiyan, N.M., Masum, M.Y. and Asadullah, J.M., (2022). Trending copy culture of Bangladesh: Brand product perspective. Annals of Management and Organization Research (AMOR), 4(2), pp.89-107. https://doi.org/10.35912/amor.v4i2.1514

Siddiqui, A. A., Asadullah, J. M., & Toma, N. J. (2026). Expansion Without Financial Deepening? Growth, Outreach, and Operational Performance of Bank-Led Islamic Microfinance in Bangladesh. Economies, 14(10), 492. https://doi.org/10.3390/economies14100492 (Scopus-Q1 [CiteScore 5.2]; WoS-ESCI, JCR-Q2 [IF 2.3]; SJR-Q2; EconLit; DOAJ; RePEc; EconBiz)

Tanha, M., Al Sabahel, M., Amin, M.R., Khandakar, M.S., Bhuiyan, N.M., Masum, M.Y. and Asadullah, J.M., (2022). Trending copy culture of Bangladesh: Brand product perspective. Annals of Management and Organization Research (AMOR), 4(2), pp.89-107. https://doi.org/10.35912/amor.v4i2.1514

Asadullah, J. M., Akter, S., Toma, N. J., & Kawsar, M. (2026). Leveraging Artificial Intelligence for Sustainable Waste Management and Circular Economy Optimization: A Qualitative Exploration within the Framework of SDG 9 and SDG 12. International Conference Resilience and competitiveness of the national economies - under the sign of creativity, crisis and conflicts - RESILNAT-3C 2026, Romania. 

Sharna, S.A., Toma, N.J., and Asadullah, J.M. (2025), “From Invisibility to Visibility: Shwapna Bhowmick, A Tale of Meaningful Change,” in proceedings of 2^nd International Case Conference on Business and Management (ICCBM), Dhaka, Bangladesh, 18^th December 2025, pp. 34.

1. Rabea Khatun, Maksuda Akter, Md Manowarul Islam, Md Ashraf Uddin, Md Alamin Talukder, Joarder Kamruzzaman, A. K. M. Azad et al. "Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data." Genes 14, no.9 (2023): 1802.(Link)
2. Saurav Chandra Das, Wahia Tasnim, Humayan Kabir Rana, Dr. Uzzal Kumar Acharjee, Md Manowarul Islam, Rabea Khatun. "Comprehensive Bioinformatics and Machine Learning Analysis for Breast Cancer Staging Using TCGA Dataset". Briefings in bioinformatics 26.1 (2024): bbae628.(Link)
3. Rabea Khatun, Wahia Tasnim, Maksuda Akter, Md Manowarul Islam, Dr. Md. Ashraf Uddin, Saurav Chandra Das, Dr. Md. Zulfiker Mahmud. "Integrative Machine Learning and Bioinformatics Approach for Identifying Key Biomarkers in Gallbladder Cancer Diagnosis and Progression". IET Systems Biology 19.1 (2025): e70022.(Link)
4. Maksuda Akter, Rabea Khatun, Md. Alamin Talukder, Md Manowarul Islam, Dr. Md. Ashraf Uddin. "An integrated deep learning model for skin cancer detection using hybrid feature fusion technique".Biomedical Materials & Devices 3, 1433–1447 (2025).(Link)

1. Nabanita Saha Joya, Sagar Biswas Sadia Jannat Mitu, Rabea Khatun, Md Manowarul Islam. "An Efficient Machine Learning Framework for Panic Disorder Detection: Addressing Data Imbalance with SMOTE to Reduce False Negatives." 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-6.(Link)
2. Jahad Hasan, Md. Lutfur Rahman, Satayjit Biswas, Md. Solaiman Mia, Rabea khatun. "A Smart Decision-Maker by Monitoring Progress of Student’s Study using Machine Learning Algorithms." (Accepted at the International Conference on Big Data, IoT, and Machine Learning (BIM 2025)).
3. Sagufta Sabah Nakshi, Wahia Tasnim, Rabea Khatun. (2025), “A Lightweight Federated–Ensemble Deep Learning Approach for Early Detection of Alzheimer’s Disease Using MRI Imaging”. Paper accepted at 2025 28th International Conference on Computer and Information Technology (ICCIT).

1. Sanzana Karim Lora, M. Sohel Rahman, Rifat Shahriyar, “ConVerSum: A Contrastive Learning based Approach for Data-Scarce Solution of Cross-Lingual Summarization Beyond Direct Equivalents”, ACM Transactions on Asian and Low-Resource Language Information Processing, Volume 24, Issue 5, Article No.: 50, Pages 1 - 22, May 2025. (Q2 Journal)

1. Sanzana Karim Lora, Ishrat Jahan, Rahad Hussain, Rifat Shahriyar, A.B.M Alim Al Islam; “A transformer-based generative adversarial learning to detect sarcasm from Bengali text with correct classification of confusing text”, Heliyon, volume 9, issue 12. (Q1 Journal)
2. Sanzana Karim Lora, G. M. Shahariar, Tamanna Nazmin, Noor Nafeur Rahman, Rafsan Rahman, Miyad Bhuiyan, Faisal Muhammad Shah; “Ben-Sarc: A Self-Annotated Corpus for Sarcasm Detection from Bengali Social Media Comments and Its Baseline Evaluation”, Natural Language Processing.  (Q1 Journal)

1. Sanzana Karim Lora, Istiak Ahmed, Muhammad Abdullah Adnan, “Short Paper: A Cloud-based Distributed Approach for Social Media Sentiment Analysis using Machine Learning with Distributed Hyperparameter Tuning”, 11th International Conference on Networking, Systems, and Security. (11th NSysS 2024), Khulna, Bangladesh, ACM, New York, NY, USA.
2. Sanzana Karim Lora, Nusrat Jahan, Shahana Alam Antora, Nazmus Sakib, “Detecting Emotion of Users’ Analyzing Social Media Bengali Comments Using Deep Learning Techniques”, in Proceedings of the 2nd International Conference on Advanced Information and Communication Technology 2020 (ICAICT 2020), Dhaka, Bangladesh, 2020, pp. 88-93.

1. Sanzana Karim Lora, Sadia Afrin Purba, Bushra Hossain, Tanjina Oriana, Ashek Seum, Sadia Sharmin, "Infinite Scrolling, Finite Satisfaction: Exploring User Behavior and Satisfaction on Social Media in Bangladesh"

 MI Rakib, A Nobi, JW Lee (2021). Structure and dynamics of financial networks by feature ranking method. Published on: Scientific Reports - 11, pp: 17618. doi.org/10.1038/s41598-021-97100-1 [Q1, IF: 4.99]

MS Hossain, A.Q.M. SU Pathan, MN Islam, MIQ Tonmoy, MI Rakib, NM Bahadur, et al (2021). Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learning. Published on: Informatics in Medicine Unlocked – 27, pp: 100798.

MI Rakib, MJ Hossain, A Nobi (2022). Feature ranking and network analysis of global financial indices. Published on: Plos One – 17(6), pp: e0269483. doi.org/10.1371/journal.pone.0269483 [Q1, IF: 3.75]

 SBS Omit, S Akhter, HK Rana, ARM MH Rana, NK Podder, MI Rakib, A Nobi (2023). Identification of comorbidities, genomic associations, and molecular mechanisms for COVID-19 using bioinformatics approaches. Published on: BioMed Research International – 2023, pp: 6996307. doi.org/10.1155/2023/6996307 [Q2, IF: 3.41]

ZM Koli, A Nobi, MI Rakib, MJ Alam, JW Lee (2023). Modular structures of trade flow networks in international commodities. Published on: Sustainability – 15(22), pp: 15786. doi.org/10.3390/su152215786 [Q1, IF: 3.9]

MI Rakib, MJ Alam, N Akter, KH Tuhin, A Nobi (2024). Change in hierarchy of the financial networks: A study on firms of an emerging market in Bangladesh. Published on: Plos One – 19(5), pp: e0301725. doi.org/10.1371/journal.pone.0301725 [Q1, IF: 3.75]

KH Tuhin, A Nobi, MI Rakib, JW Lee (2025). Long Short-Term Memory Autoencoder Based Network of Financial Indices. Published on: Humanit Soc Sci Commun–12(100). https://doi.org/10.1057/s41599-025-04412-y [Q1, IF: 3.7]

SS Hassan, MI Rakib, KH Tuhin, A Nobi (2023). Structure of global financial networks before and during COVID-19 based on mutual information. Published in: The Proceedings of International Conference on Machine Intelligence and Emerging Technologies (MIET 2022), LNICST – 491, Springer. doi.org/10.1007/978-3-031-34622-4_50

MI Rakib, M Akter, SA Milu, A Nobi (2024). Entropy and relative entropy in the composition of commodities. Published in: The Proceedings of 26th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, IEEE Bangladesh. PP. 1-6. doi.org/10.1109/ICCIT60459.2023.10441532

 KH Tuhin, A Nobi, MJ Sadique, MI Rakib, JW Lee (2024). Effect of network size on comparing different stock networks. Published on: Plos One – 18(12), pp: e0288733. doi.org/10.1371/journal.pone.0288733 [Q1, IF: 3.75]

MI Rakib, DI Didar, A Nobi (2025). Feature ranking and topology of the foreign exchange market. Published on: Complexity-2025 (1).  https://doi.org/10.1155/cplx/6047572  [Q1, IF: 2.23]

Cryptocurrency mining data centers consume 100-200 times more energy than conventional office areas annually. Regulating power consumption, cooling mechanisms, and thermal control performance is crucial to creating a greener and more energy-efficient crypto-mining data center. This paper presents a new cryptocurrency mining data center design that is both environmentally friendly and energy-efficient. The design considers popular green and energy-saving data center cooling and temperature management approaches, as well as cost-effective operations. The total monthly cost of the proposed data center is 358025 USD, with renewable energy generating 68520 kW of electricity. The monthly profit from Bitcoin mining is 3200806.969 USD, while Ethereum mining is 2317353.503 USD. The PUE number is 1.04, and the DCiE is 96.15 percent. These statistics help determine the model’s conclusion. 

Power consumption has a significant influence on resource allocation, which has a negative effect on the environment. To lessen the negative effects, an effective resource allocation algorithm is needed. In this paper, we suggested a unique hybrid approach for energy-efficient scheduling of virtual machines (VMs) in cloud data centers called Energy Efficient Particle Swarm Optimization (EE-PSO), which combines Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). This integration is special since it makes use of both algorithms’ advantages to improve scheduling effectiveness and energy consumption. The novelty lies in how GA and PSO are combined, which differs from previous attempts where these algorithms were either used separately or in a less integrated manner. EE-PSO represents significant achievement toward achieving the goals of decreasing power usage and promoting green …

One of the most prevalent common cancers among men is prostate cancer. Therefore, early detection is crucial for effective treatment. This study aims to detect prostate cancer using four Convolutional Neural Network (CNN) architectures. We evaluated our trained models and found a lower Root Mean Square Error (RMSE) of 2.9960 on the validation set indicating that our model can accurately detect prostate cancer in medical images. Our study suggests a promising prostate cancer detection model that could help improve patients' early diagnosis and treatment outcomes.

The process of classifying brain tumors using MRI data is difficult to do accurately. The challenges and limitations of manual analysis in treatments can be overcome by implementing Computer-Aided Diagnosis (CAD) systems for categorizing brain tumors. This study assesses the performance of five well-known Transfer Learning CNN architectures - VGG19, VGG16, GoogleNet, ResNet-50, and DenseNet-121 - using magnetic resonance imaging (MRI) scans. The main goal is to classify brain malignancies into four groups: no tumor, pituitary, meningioma, and glioma. The focus of this research for the classification task was on data preparation, training on preprocessed data, and comparing each model using evaluation metrics such as f1-score, accuracy, recall, and precision. Following preprocessing and training, the evaluation of the five CNN models revealed promising results for the VGG models, with both …

The most advanced methods available today are convolutional neural networks (CNNs), which are frequently used for image categorization tasks. This article uses sophisticated neural network models to explore the categorization of peripheral blood smear pictures for B-ALL diagnosis and its subtypes. We introduce a method for classifying images using a modified VGG19 model. Images are pre-processed at first before being input into the multi-class classification algorithms. We discovered throughout this study that the suggested methods improve model performance. Our study focused on two types of images: benign and malignant, as well as three subtypes of malignant lymphoblasts: Early Pre-B, Pre-B, and Pro-B ALL. The model has a validation loss of 0.1499 and an accuracy of 94.63%, whereas its training loss is 0.1127 and 96.97%, respectively. These findings demonstrate how well the VGG19-based model …

White Blood Cell (WBC) count is a significant task in identifying leukemia, a widely known malignancy that can be devastating gradually. Infantile WBCs existing in the sponge tissues of bone marrow affect the superfluous expansion, which in turn produces leukemia cancer. Deep learning and image processing techniques models can be applied in the field to detect leukemic blood and generate outstanding outcomes. Leukemia occurs from the leukocyte blood type, which is one kind of white blood cell. This proposed system introduces a method of classifying leukemic blood images and counting the number of white blood cells in a Leukemic blood image. This is a hybrid procedure combining deep learning and image processing techniques. A collection of 221 blood cell images available on a website known as ‘RaabinData’ is used, which were collected from patients at the Takht-e Tavoos Medical School …

Anemia, a condition affecting human red blood cells (RBCs), presents in various forms. Different blood cell types and anemia variants exist. Addressing such a significant challenge requires integrating pathophysiology, advanced technology, and a comprehensive understanding of RBC classifications. In this pursuit, we utilize Deep Learning (DL) models to establish connections and propose innovative solutions to pathophysiological issues related to anaemia diagnosis through RBC classification. The customized Convolutional Neural Network (CNN) demonstrates exceptional performance, boasting a Training Accuracy of 99.42% and a Test Accuracy of 98.88%. Furthermore, the Training Loss is impressively low at 0.0232, while the Validation Loss remains minimal at 0.0964. The associated confusion matrix attests to the model's robust performance, affirming its accuracy in classification tasks.

To address the challenge of flattening the recall line in Forest Cover Type data classification, this study focuses on the application of a Voting Classifier. Forest cover is crucial for biodiversity preservation and climate regulation, and accurate classification of forest cover types is essential for effective forest management. The paper utilizes a dataset containing attributes related to forest cover, and models such as K-Nearest Neighbors (KNN), Extra Tree, Random Forest (RF), and Extreme Gradient Boosting (XGBoost) are employed. However, the individual performance of the models varies for recall. To overcome this, a Voting Classifier is introduced, which combines the predictions from multiple models using a majority or weighted vote. The experiments demonstrate the effectiveness of the Voting Classifier in flattening the recall line and enhancing the accuracy of forest cover type classification.

Cloud-dedicated servers can better meet green computing standards by being ecologically friendly. “Green cloud computing” refers to utilizing information technology and other technological achievements to help the environment. Task scheduling is one of the biggest challenges in cloud-based systems that must be addressed to improve system efficacy and user experience. The primary goal of this study is to develop an algorithm that focuses on minimizing green cloud computing execution times while remaining environmentally friendly. We compared task scheduling algorithms based on execution time, such as FCFS, SJF, and Round Robin, to the approach we recommended, the generalized priority (GP) algorithm. We experimented with evaluating our technique using the CloudSim 3.0.3 simulator. The algorithm we suggested has the shortest runtime out of all the algorithms which is 97.91.

International

1. Bushra, N. A., Al-Mujaddeed, S., Alvi, T. T., & Arman, M. (2025, December 2–4). How to unearth anomalies in financial data of commercial banks: A data science approach. Paper presented at the 3rd International Conference on Sustainability, Entrepreneurship, Equity, and Digital Strategies (SEEDS 2025), Jaipuria Institute of Management, Noida, India & Prince of Songkla University, Thailand.  [Recognized Best Paper of the Track] 
2. Al-Mujaddeed, S., Bushra, N. A., & Arman, M. (2025, November 14–15). Applying Benford's law to detect accounting data manipulation: An empirical study of non-performing loans (NPL) scenario in the banking industry of Bangladesh. In International Conference on Economics, Business and Technology Management (p. 65). Independent University of Bangladesh, Dhaka, Bangladesh.

Authors: Abul Bashar, Md. Nazmus Sakib, Md. Mahbubur Rahman
Year: 2026
Journal: Discover Sustainability
Indexing/Ranking: Scopus Q1; ESCI (checked as of June 2026)
Impact Factor: 5.2
DOI: 10.1007/s43621-026-03869-4

Authors: Abul Bashar, Md. Nazmus Sakib, Sadia Tasnim Oishee, Md. Mahbubur Rahman
Year: 2026
Journal: Discover Sustainability
Indexing/Ranking: Scopus Q1; ESCI (checked as of June 2026)
Impact Factor: 5.2
DOI: 10.1007/s43621-026-03854-x

Authors: M. Islam, M. A. Uddin, M. M. Rahman, M. N. Islam
Year: 2026
Journal: International Journal of Innovation Management
Publisher: World Scientific
Indexing/Ranking: Q3 (checked as of June 2026)
Article Number: 2650044

Authors: Muhammad Abdul Aziz, S. M. Ashik Hossain, Tamzid Mohammed Jayed, Md. Mahbubur Rahman
Year: 2026
Journal: Social Sciences & Humanities Open
Volume: 14
Article Number: 103686
Publisher: Elsevier
Indexing/Ranking: Scopus Q1 (checked as of June 2026)
DOI: 10.1016/j.ssaho.2026.103686

Authors: Md. Masud Rana, Shah Ridwan Chowdhury, Mohammad Safaet Siddiqee, Elma Noorain Momo, Afnan Yusuf, Md. Mahbubur Rahman
Year: 2026
Journal: Future Business Journal
Volume: 12
Article Number: 35
Publisher: Springer Nature
Indexing: ESCI (as of June 2026)
DOI: 10.1186/s43093-026-00739-3

Authors: Md. Nazmus Sakib, Muhammad Shariat Ullah, Md. Mahbubur Rahman
Year: 2025
Journal: Future Business Journal
Volume: 11
Article Number: 154
Publisher: Springer Nature
Indexing: ESCI
Impact Factor: 3.7 (as of June 2026)
DOI: 10.1186/s43093-025-00577-9

Authors: Shah Ridwan Chowdhury, Md. Nazmus Sakib, Nehad Laila Sanju, Seeratus Sabah, Farzana Chowdhury, Md. Mahbubur Rahman
Year: 2025
Journal: Future Business Journal
Volume: 11
Article Number: 147
Publisher: Springer Nature
Indexing: ESCI
Impact Factor: 3.7 (as of June 2026)
DOI: 10.1186/s43093-025-00567-x

Authors: Abul Bashar, Ahsan Akhtar Hasin, Samrat Ray, Md. Nazmus Sakib, Md. Mahbubur Rahman, Nabila Binta Bashar
Year: 2025
Journal: The TQM Journal
Volume: 37
Issue: 7
Pages: 1920-1942
Publisher: Emerald Publishing
Indexing/Ranking: Scopus Q1; ABS 1; ABDC B (as of June 2026)
DOI: 10.1108/TQM-04-2024-0148

Authors: Muhaiminul Islam, Md. Mahbubur Rahman, Md. Abu Taher, G. M. Azmal Ali Quaosar, Md. Aftab Uddin
Year: 2024
Journal: Future Business Journal
Volume: 10
Article Number: 13
Publisher: Springer Nature
Indexing: ESCI
Impact Factor: 3.7 (as of June 2026)
DOI: 10.1186/s43093-024-00303-x

Authors: Abul Bashar, Md. Nazmus Sakib, Md. Mahbubur Rahman, Fariaya Tabassum, Seeratus Sabah
Year: 2024
Journal: Quality Management Journal
Volume: 31
Issue: 1
Pages: 58-74
Publisher: Taylor & Francis
Indexing/Ranking: Scopus Q2; ABDC B (as of June 2026)
DOI: 10.1080/10686967.2023.2285041

Authors: Md. Nazmus Sakib, Md. Mahbubur Rahman
Year: 2024
Journal: Future Business Journal
Volume: 10
Article Number: 50
Publisher: Springer Nature
Indexing: ESCI
Impact Factor: 3.6 (as of June 2026)
DOI: 10.1186/s43093-024-00346-0

Authors: Muhammad Shariat Ullah, Md. Rabiul Islam, Muhammad Ruhul Amin, Mohammad Bin Amin, Md. Mahbubur Rahman, László Erdey
Year: 2024
Journal: Journal of Infrastructure, Policy and Development
Volume: 8
Issue: 13
Article Number: 8494
Indexing/Ranking: Scopus Q2 at the time of publication (Indexing discountinued status checked as of June 2024)
DOI: 10.24294/jipd.v8i13.8494

Authors: Abul Bashar, Md. Mahbubur Rahman, Md. Nazmus Sakib
Year: 2024
Journal: Quality Management Journal
Volume: 31
Issue: 1
Pages: 25-42
Publisher: Taylor & Francis
Indexing/Ranking: Scopus Q2; ABDC B (as of June 2026)
DOI: 10.1080/10686967.2023.2285044

Authors: Mohammad Sahabuddin, Md. Nazmus Sakib, Md. Mahbubur Rahman, Adamu Jibir, Mochammad Fahlevi, Mohammed Aljuaid, Sandra Grabowska
Year: 2023
Journal: Sustainability
Volume: 15
Issue: 9
Article Number: 7176
Publisher: MDPI
Indexing/Ranking: Scopus Q1 (as of June 2026)
DOI: 10.3390/su15097176

Author: Md. Mahbubur Rahman
Year: 2023
Journal: International Journal of Educational Studies
Indexing/Metric: OpenAlex 2-Year Mean Citedness: 0.3 (as of June 2026)
DOI: 10.53935/2641533x.v6i1.252

Transformational and transactional quality drivers of social responsibility performance in commercial banks: A quantitative exploration of Burke-Litwin model for total quality management [Conference presentation]. (2025, November 14–15). International Conference on Economics, Business, and Technology Management (ICEBTM-2025), School of Business and Entrepreneurship, Independent University, Bangladesh, Dhaka, Bangladesh.

Promoting inclusive leadership to nurture innovativeness and work engagement among information technology (IT) professions: Mediating role of psychological safety [Conference presentation]. (2025, September 20–21). International Conference on Business & Technology in the 21st Century, Dhaka, Bangladesh.

Survival of informal digital entrepreneurships: Role of ecosystem and entrepreneurial capabilities [Conference presentation]. (2025, September 20–21). International Conference on Business & Technology in the 21st Century, Dhaka, Bangladesh.

Islam, M. S., Suad, S. F. R., & Rahman, A. (2024). Leveraging AI to overcome key challenges in last-mile delivery: Enhancing customer experience and operational efficiency in e-commerce. Supply Chain Insider, 14(1). https://doi.org/10.5281/zenodo.13865897

Suad, S. F. R., & Nasib, S. (2025). Are we ready for LLM in ERP? Readiness and perception of integrating LLM-enabled enterprise systems in developing economies. International Conference on Economics, Business and Technology Management (ICEBTM 2025), Independent University, Bangladesh (IUB), Dhaka, November 15, 2025.