Faculty Members Publications

• Islam, S., "The Leveling Effect: AI-Assisted Narrative Production and the Future of Professionalism in Creative Industries," presented at The Nation and Its Imagination: Culture and Creative Industries in Bangladesh, International Conference, Independent University of Bangladesh, March 2026.  

• Islam, S., "AI-Integrated Multimodal Framework: Text-to-Image Generators for Enhancing English Metaphor Comprehension," presented at the 3rd TESOLBD DIU International Conference 2025, Daffodil International University, December 2025.  

• Islam, S., "Collaborative Composition of Bangla Free Verse Poetry with Generative AI: Gauging the Future of Cyborgian Creative Capacity," presented at the International Conference on Teaching English Literature and Interdisciplinarity, East West University, July 2023.  

• Islam, S., "Implementing Suggestopedia to Address Second Language Learning Challenges Among Trauma Afflicted Adult ESL Learners," presented as a Research Poster at Ruptures and Resilience: English Studies in the Now, North South University, November 2022.

1. Training Program on Teaching, Learning and Research (IQAC & CRT, East West University, Fall 2024)

2. Edtech Tools and Skills for Online/Blended Learning (BRAC IED, Aug-Sept 2022)

3. Teaching English as a Foreign Language (TEFL) course (TEFL Professional Institute, June-July 2022)

4. English for Media Literacy MOOC (OPEN MOOCs & University of Pennsylvania, June-July 2022)

• Edtech Tools and Skills for Online/Blended Learning (BRAC IED, Aug-Sept 2022)

• Teaching English as a Foreign Language (TEFL) course (TEFL Professional Institute, June-July 2022)

• English for Media Literacy MOOC (OPEN MOOCs & University of Pennsylvania, June-July 2022)

Ashrafi DM, Sattar M, Fahim MMU (2026), "Why digital natives perpetrate smishing in emerging digital economies?". Journal of Financial Crime, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JFC-02-2026-0042 (ABDC-B, SCOPUS indexed Q1)

Tanbir Ahmed Chowdhury, Md, Miad Uddin Fahim, Rafayat Jalal (2026). Debunking Financial Performance of State-Owned and Private Commercial Banks in Emerging Economy: A study on Bangladesh. The Journal of Developing Areas, Tennessee State University College of Business, USA. ProjectMUSE. (ABS Indexed) (Forthcoming) 

Fahim, M.M.U., Huq, Z.Z. & Mosharrof, M.F. Does environmental, social, and governance disclosure impact credit access and quality of banks? Moderating role of corporate governance. Int J Discl Gov (2026). DOI: https://doi.org/10.1057/s41310-026-00361-3  (ABDC-B, ABS-2, Scopus-Indexed Q2) Link: https://rdcu.be/e4fNJ 

Sattar, M., Jalal, R. & Fahim, M.M.U. (2025). What Causes Non-Performing Loans to Soar? Empirical Evidence from An Emerging Economy. Bank Parikrama, 50(2). DOI: http://doi.org/10.64204/BP1019-7044/50(2)/A20254 (ABDC-C Indexed)

Fahim, M.M.U. and Amin, S., (2024). An empirical investigation of herd behaviour in COVID-19 perspective: evidence from Dhaka stock exchange. Global Business and Economics Review, 34(2), pp.219-240.  DOI: https://doi.org/10.1504/GBER.2026.151147 (Scopus-Indexed, Q4, ABDC-C, ABS-1)

Khan, M.S. and Fahim, M.M.U., 2021. "The four-factor model and stock returns in Bangladesh." International Journal of Accounting & Finance Review, 6(2), pp.133-149. DOI: https://doi.org/10.46281/ijafr.v6i2.1122

• Fahim, M.M.U. (Presenting Author) & Amin, S. (2025). Digital Financial Literacy, Financial Behaviour and Locus of Control: Do They Matter for Financial Well-Being? Moderating Role of Risky Investment Intention. International Conference on Financial Literacy and Economic Wellbeing (ICFLEW 2025), BRAC University, Dhaka, Bangladesh.

Title: Do Quality Dimensions of m-Fashion Rental Apps Influence the e-WOM Intention among Urban Gen Z Social Media User in Bangladesh

Position: Co-researcher

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

Status: Waiting for fund disbursement 

This study examines the attitudes of undergraduate and graduate English majors toward ‘native’

and ‘non-native’ English accents and explores how these attitudes influence their identity

formation. It aims to determine participants’ perceptions of the status and importance of different

English accents, their self-assessment of their own accent, and the relationship between accent

and identity. Employing an explanatory sequential mixed-methods approach, the study integrates

a questionnaire administered to 105 students (54 first-year undergraduates and 51 M.A. graduates)

at a public university in Bangladesh, complemented by focus group discussions analysed through

grounded theory of the constructivist design. Quantitative data are analysed using descriptive

statistics and Levene’s t-test to identify differences between the two groups of participants, while

qualitative data are examined through manual coding. Findings show that participants generally

reject the notion of a ‘native’ English accent as the definitive ideal and do not regard a ‘non-

native’ English accent as inferior. Nevertheless, quantitative data indicate that participants

perceive a ‘native’ English accent as socially prestigious, suggesting a desire to acquire it.

Qualitative discussions reveal deeper power dynamics rooted in colonial history, with participants

expressing a preference for developing a 'standard regional accent' that preserves their linguistic

heritage and aligns with local vocal norms, rather than aspiring to emulate a 'native’ English

accent.

Hasan, M. M., Momen, S. H., Akter, M., Eshaque, N. H., Uddin, M. S., Hasan, T., ... & Hossen, S. M. (2026). Hepatoprotective Effects of Baccaurea motleyana Fruit Extract Against CCl4‐Induced Liver Injury in Rats: In Vivo Evaluation and GC–MS Phytochemical Profiling. Chemistry & Biodiversity, 23(7), e71464. https://doi.org/10.1002/cbdv.71464. IF: 2.9, Q2

Uddin, M., Naher, S., Rasel, M. H., Mamun, M. J. I., Hasan, M. N., Eshaque, N. H., & Hasan, M. M. (2026). Bioactivity Assessment and In Silico Target Engagement of Clerodendrum infortunatum Extracts: Correlating Experimental Outcomes With DFT and Docking Predictions. Food Science & Nutrition, 14(7), e72047. IF: 5, Q1

Proma, N. M., Hasan, M. M., Chowdhury, M. T., Ali, M. L., Hoque, N., Meem, J. N., ... & Hossain, M. K. (2026). A comprehensive review on mushrooms with potent antileukemic activity: current status and prospects. Precision Nutrition, 5(2), e00138. IF: 2.44, Q2

Chowdhury, S., Azme, E., Hasan, M. M., Rahman, M., Rahman, M. A., Pallab, M. R. A., ... & Amin, M. N. (2026). Mechanistic insights of clinically investigated natural products as anti-colorectal cancer agents. Precision Nutrition, 5(2), e00137. IF: 2.44, Q2

Ibrahim, M., Hossain, M. S., Ooi, L., Hasan, M. M., Ahsan, S., Salem, A. K., ... & Ahsan, F. (2026). Targeting the NAD+–PARP1–XRCC1 axis in ALS. Trends in molecular medicine. https://doi.org/10.1016/j.molmed.2026.04.004. IF: 18.1, Q1

Moon, N. J., Mohammad, M., Mamun, M. J. I., Nova, F. B. A., Eshaque, N. H., Rasel, M. H., ... Hasan, H.H. & Hossen, S. M. (2026). Pharmacological evaluation of Adenostemma lavenia acetone extract in Swiss Albino mice: Analgesic, anti‐inflammatory, and thrombolytic insights from in vivo, in vitro, density functional theory, and molecular docking studies. Animal Models and Experimental Medicine. https://doi.org/10.1002/ame2.70200, IF: 3.3, Q1

Hasan, M. M., Bhuyan, E. A., Ekram, M. E. H., Proma, N. M., & Hossain, M. K. (2026). Acute and Subacute Oral Toxicity Evaluation of Baccaurea motleyana Fruit Extract in Wistar Rats. Food Science & Nutrition, 14(4), e71744. IF: 5, Q1, https://doi.org/10.1002/fsn3.71744

Tahrim, K. S., Rahman, M. M., Rahman, M. S., Sayem, M. A., Momen, M. S. H., Hasan, T., ... & Hasan, M. M.* (2026). Wound‐Healing Efficacy of Garcinia pedunculata Fruit Extract: In Vivo and In Silico Validation of Regenerative Mechanisms With Histological Analysis. Food Science & Nutrition, 14(4). IF: 5, Q1, PMID: 41948382 

Mohammad, Mahathir, Nusrat Jahan Moon, Md Hossain Rasel, Md Anisul Islam, Nazmul Hasan Eshaque, Md Jahirul Islam Mamun, Md Zamil Hossain, Md Mahmudul Hasan, Md Tanvir Chowdhury, and S. M. Hossen. "Multifaceted Evaluation of Syngonium podophyllum Flower Extracts: Anthelmintic, Antidiabetic, Antipyretic, and Antidiarrheal Potentials via Experimental, In Silico, and DFT Approaches." Food Science & Nutrition 14, no. 4 (2026): 1. IF: 5, Q1, https://doi.org/10.1002/fsn3.71701

Hasan, M. M*., Azme, E., Ekram, M. E. H., Momen, M. S. H., & Hasan, T. (2026). Nature’s Defense Against Lead Toxicity: Baccaurea motleyana Fruit Extract Reverses Oxidative Stress and Hematological Damage in Rats. Pharmacological Research-Natural Products, 100605. https://doi.org/10.1016/j.prenap.2026.100605, Q3

Faruk, Omar, Kausar Uddin Ahmed, Nabila Ishrat, Sabrina Alam Mrittika, Sakibul Alam, Md. Mahmudul Hasan, Farjana Afrin Tanjum, Nor Mohammad, Ashiq Mahmud, and Mohammad Nurul Amin. "Liver cirrhosis: epidemiology, risk factors, potential complications, and possible treatment strategies." Gastroenterology & Endoscopy (2026). https://doi.org/10.1016/j.gande.2026.03.001

Mamun, M. J. I., Rasel, M. H., Chowdhury, M. T., Hasan, M. M., Chowdhury, M., Mohaimeen, T., ... & Hossen, S. M. (2026). Biological and Computational Exploration of Ulva flexuosa: Antioxidant, Anti-inflammatory, Antidiabetic, Antipyretic, and Cytotoxic Insights for Drug Discovery. Pharmacological Research-Natural Products, 100533. https://doi.org/10.1016/j.prenap.2026.100533

Singha, S., Ekram, M. E. H., Ali, M. L., Hasan, M. M., & Ahsan, M. T. (2026). Unraveling the Therapeutic Potential of Firmiana colorata Bark Extract: GC-MS Profiling, Pharmacological Studies, and Protein-Ligand Interaction Analysis for Pain, Fever, and Inflammation. Pharmacological Research-Natural Products, 100523. https://doi.org/10.1016/j.prenap.2026.100523

Mamun, M. J. I., Akter, S., Islam, Z., Hossen, M. I., Rasel, M. H., Eshaque, N. H., ... & Hasan, M. M. (2026). Pharmacological Investigation of Syzygium diospyrifolium Fruit Extract: Antimicrobial and Diuretic Evidence From Experimental, DFT and Molecular Docking Studies. Journal of Food Biochemistry, 2026(1), 4037376. https://doi.org/10.1155/jfbc/4037376, IF: 2.3, Q1

Akter, F., Sovon, M. S. I., Hossain, B., Islam, M. A., Das, S., Biswas, A., ... & Hasan, M. M*. (2026). Maesa ramentacea Leaf Extract Protects Against Gentamicin‐Induced Nephrotoxicity in Wistar Rats by Modulating Renal Oxidative Stress, Inflammation and Apoptosis. Veterinary Medicine International, 2026(1), 6127118. https://doi.org/10.1155/vmi/6127118, IF: 2.3, Q1

Mahmudul Hasan, M., Tahrim, K. S., Hasan, T., Ekram, E. H., Momen, S. H., Proma, N. M., ... & Hossain, M. K. (2026). Multitarget Anti‐Obesity Potential of Baccaurea motleyana Fruit: Insights From Biochemical, Histological, and In Silico Analyses. Journal of Food Biochemistry, 2026(1), 3495881. IF: 2.3, Q1. https://doi.org/10.1155/jfbc/3495881

Jafrin, S., Arnab, M. K. H., Hasan, M. M., Hossain, M. S., Millat, M. S., Mohammad, N., ... & Amin, M. N. (2025). Clinically investigated natural products against prostate cancer, with mechanistic insights. Precision Nutrition, 4(4), e00118. DOI: 10.1097/PN9.0000000000000118, IF: 2.44, Q2

Millat, M. S., Hasan, M. M., Uddin, M. S., Salam, M. A., Aziz, M. A., Akhter, I., ... & Islam, M. S. (2025). Inflammatory cytokines and specific factors influencing lung cancer progression. Cancer Pathogenesis and Therapy, 3(06), 484-500. https://mednexus.org/doi/full/10.1016/j.cpt.2025.04.002, IF: 5.9, Q1

Hasan, M. M., Momen, M. S. H., Haque, A., Afroja, F., Mim, S. A., Pallab, M. R. A., ... & Amin, M. N. (2025). Unlocking the mechanistic insights of clinically proven natural products against osteoporosis. Clinical Phytoscience, 11(1), 18. https://link.springer.com/article/10.1186/s40816-025-00403-3, 

Siddiqui, S. A., Aka, T. D., Hossain, M. M., Millat, M. S., Pallab, M. R. A., Mohammad, N., ..Hasan, M.M.. & Amin, M. N. (2025). The molecular mechanisms of dietary supplements and potential bioactive compounds in the management of obesity: A review. Pharmacological Research-Natural Products, 100417. https://doi.org/10.1016/j.prenap.2025.100417

Islam, M. R., Hasan, M. M., Ali, M. L., Chowdhury, M. T., Chowdhury, M. M., & Hossain, M. K. (2025). Phytochemical profiling and neuropharmacological assessment of Ipomoea purpurea: Integrated experimental and computational approaches. South African Journal of Botany, 186, 123-135. https://doi.org/10.1016/j.sajb.2025.09.007, IF: 3.1, Q2

Hasan, M. M., Azme, E., Ekram, M. E. H., Momen, M. S. H., Hossain, M. K., & Proma, N. M. (2025). Exploring the anti-inflammatory and wound-healing potential of Baccaurea motleyana fruit: Preliminary insights from GC–MS metabolomic profiling, molecular docking, and ADMET studies. Fitoterapia, 106930. https://doi.org/10.1016/j.fitote.2025.106930, IF: 2.9, Q2

Islam, M. R., Chowdhury, M. T., Chowdhury, M. M., Khanam, B. H., Ali, M. L., Hasan, M. M., & Hossain, M. K. (2025). Investigating the Secondary Metabolite Profile and Neuropharmacological Activities of Ipomoea purpurea: A Multi‐Method Approach Using GC–MS, In Vivo, and In Silico Techniques. Chemistry & Biodiversity, 22(9), e202500560. https://doi.org/10.1002/cbdv.202500560 IF: 2.9, Q2

Hasan, M. M., Azme, E., Alam, R., Mamun, M. J. I., Chowdhury, M. T., Rasel, M. H., ... & Chung, H. J. (2025). Mushrooms as Potent Autophagy Modulators in Cancer Therapy: Current Evidence and Therapeutic Prospects. Cancer Pathogenesis and Therapy, 3, E01-E58. https://mednexus.org/doi/full/10.1016/j.cpt.2025.08.001, IF: 5.9, Q1

Hasan, M. M., Alim, M. A., Momen, M. S. H., Islam, M. S., Chowdhury, S. H., Rashed, M., ... & Hossen, S. M. (2025). Harnessing the multidimensional bioactivity of Chaetomorpha aerea: Integrative phytochemical profiling with in vitro, in vivo, and in silico insights. Animal Models and Experimental Medicine, 8(8), 1416-1427. https://doi.org/10.1002/ame2.70064, IF: 3.3, Q1

Hasan, M. M., Wasin, S. M., Rahman, M., Azme, E., Mostaq, M. S., Nahid, M. M. H., ... & Amin, M. N. (2025). Clinically proven natural products against breast cancer, with mechanistic insights. Oncology Research, 33(7), 1611. https://pubmed.ncbi.nlm.nih.gov/40612872/ IF: 4.6, Q1

Ali, M. L., Noushin, F., Sadia, Q. A., Metu, A. F., Meem, J. N., Chowdhury, M. T., .Hasan, M.M... & Azme, E. (2025). Spices and culinary herbs for the prevention and treatment of breast cancer: a comprehensive review with mechanistic insights. Cancer Pathogenesis and Therapy, 3(03), 197-214. IF: 5.9, Q1. https://mednexus.org/doi/full/10.1016/j.cpt.2024.07.003

Azme, E., Hasan, M. M., Ali, M. L., Alam, R., Hoque, N., Noushin, F., ... & Chung, H. J. (2025). Computational identification of potential natural terpenoid inhibitors of MDM2 for breast cancer therapy: molecular docking, molecular dynamics simulation, and ADMET analysis. Frontiers in Chemistry, 13, 1527008. https://doi.org/10.3389/fchem.2025.1527008, IF: 5.3, Q2

Mohammad, M., Hossain, M. R., Hasan, M. M., Richi, F. T., Bhuiya, A. M., Chowdhury, S., ... & Hossain, R. (2025). A novel insight into the anti-diabetic and diuretic potentials of the Colocasia esculenta L.(Taro) vegetable flower extract accentuating its ethnobotanical importance. Pharmacological Research-Natural Products, 6, 100177. https://doi.org/10.1016/j.prenap.2025.100177

Hasan, M. M., Momen, M. S. H., Alim, M. A., Chowdhury, S. H., Chowdhury, M., Mamun, M. A., ... & Hossen, S. M. (2025). Neuropharmacological, Antidiarrheal, and Antimicrobial Effects of Chaetomorpha aerea Acetone Extract: GC‐MS Profiling and In Silico Analysis. Scientifica, 2025(1), 6745529. https://doi.org/10.1155/sci5/6745529, IF: 3.6, Q1

Ali, M. L., Hoque, N., Hasan, M. M., Azme, E., & Noushin, F. (2024). Exploration of marine natural compounds as promising MDM2 inhibitors for treating triple-negative breast cancer: insights from molecular docking, ADME/T studies, molecular dynamics simulation and MM-PBSA binding free energy calculations. Discover Chemistry, 1(1), 61.

Ali, M. L., Noushin, F., Azme, E., Hasan, M. M., Hoque, N., & Metu, A. F. (2024). Marine natural compounds as potential CBP bromodomain inhibitors for treating cancer: an in-silico approach using molecular docking, ADMET, molecular dynamics simulations and MM-PBSA binding free energy calculations. In silico pharmacology, 12(2), 85. https://link.springer.com/article/10.1007/s40203-024-00258-5

1. Tanbir Ahmed Chowdhury, Md, Miad Uddin Fahim, Rafayat Jalal (2026). Debunking Financial Performance of State-Owned and Private Commercial Banks in Emerging Economy: A study on Bangladesh. The Journal of Developing Areas, Tennessee State University College of Business, USA. ProjectMUSE. (ABS Indexed) (Forthcoming) 
2. Sattar, M., Jalal, R. & Fahim, M.M.U. (2026). What Causes Non-Performing Loans to Soar? Empirical Evidence from An Emerging Economy. Bank Parikrama, 50(2). DOI: http://doi.org/10.64204/BP1019-7044/50(2)/A20254 (ABDC Indexed)
3. Ashrafi, D. M, Sattar, M., & Jalal, R. (2025). What Influences Digital Natives' Susceptibility to Cyber Phishing Scams? Journal of Financial Crime, DOI: https://doi.org/10.1108/JFC-01-2025-0021 (ABDC & SCOPUS Indexed)
4. Sattar, M., & Jalal, R. (2024). Impact of Covid-19 on Firm Performance: A Systematic Literature Review Using PRISMA Framework. Journal of Risk Analysis and Crisis Response, 14(4). DOI: https://doi.org/10.54560/jracr.v14i4.561 (SCOPUS Indexed)

Artificial Intelligence and Applications.

(2022, October 10).

https://ojs.bonviewpress.com/index.php/AIA/article/view/354

 IEEE SMC 2021, The Papercept

Conference Manuscript Management System

Abstract:
Threat and abusive languages spread quickly through social media which can be controlled if we can detect and remove them. Since there exist many social media like Facebook, Twitter, Instagram etc and a huge number of social media users, we need a robust and effective automatic system to identify threat and abusive languages. In our proposed system Machine Learning and Natural Language Processing techniques have been implemented to build an automatic system. Previous research on Bengali abusive language detection used Multinomial Näıve Bayes (MNB), Support Vector Machine(SVM) algorithms and considered Bengali Unicode characters to build their system. We considered both Unicode emoticons and Unicode Bengali characters as valid input in our proposed system. Besides MNB and SVM algorithm, we implemented Convolutional Neural Network (CNN) with Long Short Term Memory(LSTM). Among three algorithms, SVM with linear kernel performed best with 78% accuracy. 

Link: https://ieeexplore.ieee.org/document/8934609

Abstract:

Article information: Objective: The primary intent of this paper is to review related studies that are more corresponding to the detection of five variants of cyberbullying text, such as abusive, hateful, aggressive, bully, and toxic comments or texts of Bengali language as a sample of low-resource language, to gain a comprehensive understanding of the challenges and state-of-the-art approaches used to identify these types of text. Materials: We have searched the associated articles on cyberbullying text detection in the Bengali language published from 2017 to July 2021 since there was no research being detected before the year 2017 on this domain-specific paradigm. After that, we scrutinize the different levels of aspects by inspecting the title, abstract, and entire text to enlist the subsequent research in this review study. Results: After applying different levels of filtering, from the initial search results, 28 domain-centric papers are considered out of 2,745 documents. At first, we deeply analyze the context of each study and then narrate a clear comparative review in case of research challenges and approaches, as well as providing the direction for the future work on the road to the detection of cyberbullying text for the Bengali language. Conclusion: In this paper, we discuss five variants of cyberbullying text, such as abusive text, hateful speech, aggressive text, bully text, and toxic comments over the web, and their detection process by studying existing literature in this domain. We present advice on dataset preparation, pre-process and feature extraction tasks, and classier selection that may aid in comprehensive research for better detection. 

Link: https://ph01.tci-thaijo.org/index.php/ecticit/article/view/248039

Abstract:

This paper manifests the experimentation with sentiment polarity detection over Stanford's IMDB movie review dataset using a Support Vector Machine classifier (SVM). Our prime motivation was to find out the best possible combinations of classic features and preprocessing techniques for the classification of positive and negative opinions. We also explored two variants of kernels with numerous parameter settings for the classifier in the hope of getting the best SVM model. Our best model achieved an accuracy score of 85.45%. The results indicate that a model with a non-linear Radial Basis Function (RBF) kernel leads to the highest accuracy. The features that contributed the most are stemmed word n-grams.

Link: https://ieeexplore.ieee.org/document/9396874

1. Uddin, M. K., Al Sayed, A., & Khan, S. I. (2024). Unveiling the Drivers of Social Entrepreneurship Intentions: Insights from Business Graduates in Bangladesh. Journal of Social Entrepreneurship, 1–25. https://doi.org/10.1080/19420676.2024.2400914. Taylor and Francis. Scopus. (Q1)

2. Sayed, A. A., Afroze, R., & Shafi, S. (2026). Thriving in diversity: Examining the independent effects of cultural intelligence and global mindset on job performance. International Research Journal of Multidisciplinary Scope, 7(2), 1001–1012. DOI:10.47857/irjms. 2026.v07i02.09047 (Scopus, Q4)

An online newspaper article that explores the efficacy of inverting the conventional approach of teaching in the classroom.

Authors: Shaharima Parvin and Md Arshad Shahriar

Publication date: 2026/4/21

Source: New Age

Link: https://www.newagebd.net/post/opinion/293686/flipped-classroom-beyond-the-lecture

I have submitted this research article in a Q2 journal in Malaysia named Asiatic. It is being reviewed, and will hopefully be published in their December issue of 2026.

• Huda, S. S., Akhtar, A., Kabir, M. H., Zubayer, M., & Maliha, S. R. (2025). Entrepreneurial initiatives during pandemic in Bangladesh. International Journal of Services, Economics and Management, 16(1), 21-44.
• Huda, S. S. S., Akhtar, A., Uddin, I., Maliha, S. R., & Madeha Mowla, S. (2024). “Truck Lagbe” app powered goods transportation. Journal of Information Technology Teaching Cases, 14(1), 18-23.
• Huda, S. S., & Maliha, S. R. (2021). Rise of social entrepreneurship during COVID-19 pandemic. International Journal of Social Entrepreneurship and Innovation, 6(1), 63-71.
• Huda, SSM., Akhtar, A., & Maliha, S. R. (2021). Initiatives Taken by NGOs and Private Companies to Fight the COVID-19 Pandemic, Int. J. of Work Organization and Emotion, INDERSCIENCE. [Listed in ABDC B and 9 more database and indexed in SCOPUS and 11 more indexes].
• Huda, SSM., Akhtar, A., Dilshad, S., & Maliha, S. R. (2021). An Evaluation of Factors Affecting Management of Novel CORONA, Journal of Health Research. EMERALD. [Indexed in SCOPUS and 10 more indexes]
• Huda, SSM., Akhtar., A, Dilshad, S., & Maliha, S. R. (2021). Impact of Media on Entrepreneurship: the Case of Noksha, ProthomAlo, Sage Business Cases

• Huda, SSM., & Maliha, S. R. (2022). Health and Non-Health Care Challenges of COVID-19 Management: The Scenario of Bangladesh. In Consequences and Responses to Covid-19 pandemic. AAP CRC Press (a Taylor Francis Company).

• Paul, H. (2026), "Investigating Self-Regulated Learning in Bangladeshi ELT Programs," paper presented at  the 30th NELTA International Conference 2026, Kathmandu, Nepal, 30-31 January.
• Raisa, J.T. Paul, H. (2025) "AI Tools in Fostering Critical Thinking: Exploring Perceptions of Bangladeshi Undergraduate Students," paper presented at the 3rd TESOLBD-DIU International Conference 2025, Dhaka, Bangladesh, 5-6 December.    

I intend to publish in System, a Scopus indexed Q1 journal.

N/A

1. "Convolutional Neural Networks(CNN) for Detecting Fruit Information using Machine Learning Techniques", In: IOSR Journal of Computer Engineering, Volume-22, Issue-02, (Mar-Apr 2020) PP 01-13. Authors: Fouzia Risdin, Pronab Kumar Mondal, Kazi Mahmudul Hassan

2. "Extracting Text Information from Digital Images", In: International Journal of Science & Engineering Research, Volume 10, Issue-06, year-2019.  Authors: Md. Mijanur Rahman, Mahnuma Rahman Rinty, Fouzia Risdin

• Sami, A. A., & Afrin, T. (2026). Impact of AI chatbots in the education sector of Bangladesh. American Journal of Education and Technology, 5(2). https://doi.org/10.54536/ajet.v5i2.7335
• Alam, M. S., Biswas, K., & Sami, A. A. (2025). Does branding drive sustainability? Insights from small food enterprises in Bangladesh. Independent Business Review, 14(2). https://ibr.iub.edu.bd/journals/article/view/26
• Sami, A. A., Rahman, A., Tabassum, M., Adib, Z. H., Khan, M. S. N., & Amin, M. I. (2023). Factors influencing the usage of Edtech platforms in Bangladesh. European Journal of Business and Management, 15(18), 1. https://doi.org/10.7176/EJBM/15-18-01

• Sami, A. A., & Farzana, Z. (2025). Exploring the consumer perception towards sustainable tourism in Bangladesh. Proceedings of the 3rd ICEMAT 2025, 3(1), 173-192. Universitas Nusa Cendana, Kupang, Indonesia. https://conferences.prodimanajemenundana.id/index.php/icemat/en/article/view/50
• Farzana, Z., & Sami, A. A. (2025). Interactive Cares: Navigating the transitional phase of EdTech in Bangladesh. Proceedings of the 2nd International Case Conference on Business and Management (ICCBM) 2025 (p. 37). BRAC Business School, BRAC University, Dhaka, Bangladesh. ISBN 978-984-37-0525-9.
• Alam, M. S., Biswas, K., & Sami, A. A. (2025). Does branding drive sustainability? Insights from small food enterprises in Dhaka. Proceedings of the International Conference on Economics, Business and Technology Management (ICEBTM) 2025 (pp. 66-67). Independent University, Bangladesh, Dhaka. ISBN 978-984-35-5270-9. https://icebtm.iub.edu.bd/media/uploads/2025/11/08/icebtm-2025-abstract-proceeding.pdf
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We introduce a transfer learning technique, correlation alignment, in software defect prediction.

Manually selection of optimal hyper parameter in regression (Lass, Ridge, Elastic net) is time consuming as well as error prone. In this work we introduce "divide and conquer" based approach here to select hyper parameter automatically and efficiently.