Publications

Sumaiya Akter, Mahtab U. Ahmmed.: Mathematical modeling of the Impact of Periodic Permeability on Nanoparticle Filtration in Lung Tissue ‘24th International Mathematics Conference - 2025’, Paper ID: 24IMC-188, December 18–19, 2025.

Sumaiya Akter, Mahtab U. Ahmmed.: Impact of Periodic Permeability on Airflow and Nanoparticles Deposition in Porous Lung Tissue, ‘3rd International Conference On Mathematical Analysis and Application in Modelling (ICMAAM-2024)’, 05-07 December 2024.

Sumaiya Akter, Mahtab U. Ahmmed.: Computational Analysis of Airflow and Nanoparticle Dynamics in a Human Lung Model, ‘International Workshop on Advances in Mathematical Modeling and Analysis (IWAMMA2024)’, 10-11 December 2024

• Islam, S., Rouf, A.S.S. and Faruk, O. (2025). Formulation Design and Optimisation of Sustained Release Hydrophilic Matrix Tablet of Sorafenib Using QbD Approach, Malaysian Journal of Pharmaceutical Sciences, 23(2), 1-20. https://doi.org/10.21315/mjps2025.23.2.1
• Islam, S., Fariha, N.J., Ahmed, S., Faruk, O. and Rouf, A.S.S. (2025). Development and Optimization of Hydrophilic Matrix Based Molnupiravir Sustained Release Dosage Formulation Using Full Factorial Design, Dhaka University Journal of Pharmaceutical Sciences, 24(1), 67–75. https://doi.org/10.3329/dujps.v24i1.82411
• Islam, S., Fariha, N.J., Ahmed, S., Faruk, O. and Rouf, A.S.S. (2025). Development and Validation of UV Method for Routine Analysis of Molnupiravir, Bangladesh Pharmaceutical Journal, 28(1), 83–93. https://doi.org/10.3329/bpj.v28i1.79468
• Faruk, O., Shill, D.K., Al Hossain, A.M., Rouf, A.S.S. and Kumar, U. (2024). Development of a Sustained-Release Oral Tablet of Tyrosine Kinase Inhibitor Imatinib Using Full Factorial Design, Dhaka University Journal of Pharmaceutical Sciences, 23(2), 135–143. https://doi.org/10.3329/dujps.v23i2.78571
• Faruk, O., Shill, D.K., Lira, D.N., Rouf, A.S.S. and Kumar, U. (2024). Full Factorial Design Assisted RP-UHPLC Method Development and Study of Stressed Degradation of Molnupiravir, Drug Analytical Research, 7(2), 9–22. https://doi.org/10.22456/2527-2616.134441
• Hossain, M.J., Faruk, O., Lira, D.N., Shill, D.K. and Rouf, A.S.S. (2024). Design and Evaluation of Hair Growth - Hair Fall Oil Formulation from Botanicals, Bangladesh Pharmaceutical Journal, 27(1), 9–18. https://doi.org/10.3329/bpj.v27i1.71149
• Akter, H., Rajbangshi, J.C., Faruk, O., Shill, D.K. and Rouf, A.S.S. (2024). Development and Validation of RP-HPLC Method for Routine Analysis of Osimertinib, Bangladesh Pharmaceutical Journal, 27(1), 85–91. https://doi.org/10.3329/bpj.v27i1.71158

• Alin, F. T., Ahmed, S., Mia, A. A., Faruk, O. and Islam, S. (2026). Integration of Full Factorial Design with Green Chemistry Principles to Develop an Eco-friendly RP-HPLC Method for Prasugrel. Paper presented at the 2nd International Conference on Frontiers in Science: Innovation & Technology for Greener Industry, 15–16 January, Dhaka.
• Ahmed, A., Sharna, F. H. and Faruk, O. (2026). Development of an Eco-Friendly UV Spectrophotometric Method for Chloramphenicol Using Response Surface Methodology. Paper presented at the 2nd International Conference on Frontiers in Science: Innovation & Technology for Greener Industry, 15–16 January, Dhaka.
• Easha, M. H., Sharmin, M., Urmi, S., A., Faruk, O. and Rahman, M. (2026). A Green Analytical Approach: Factorial Design–Driven UV-Vis Method Development for Tolperisone Hydrochloride in Aqueous Medium. Paper presented at the 2nd International Conference on Frontiers in Science: Innovation & Technology for Greener Industry, 15–16 January, Dhaka.
• Naim, J., Sakib, M. H., Faruk, O. and Islam, S. (2026). Response Surface Methodology Based Development and Validation of a Sensitive UV Spectrophotometric Method for Fluticasone Propionate. Paper presented at the 2nd International Conference on Frontiers in Science: Innovation & Technology for Greener Industry, 15–16 January, Dhaka.
• Araf, S.S., Nahar, N., Tabassum, N. and Faruk, O. (2025). New era of fight against dengue fever: A computational approach towards understanding drug repurposing. Paper presented at the 6th International Conference on Biotechnology in Health and Agriculture (ICBHA), 26– 27 September, Dhaka.
• Faruk, O., Hossain, M.J., Shill, D.K., Lira, D.N., Alam, M.M. and Rouf, A.S.S. (2023). Studies of hair fall and hair growth activities of HF-HG formulation. Paper presented at the 2nd International Conference on Pharmaceutical Sciences, Pharmacy Practice, and Traditional Medicines, 10–11 February, Dhaka.
• Masrur, A.H., Rabbani, G., Akter, A., Anika, S.N., Faruk, O., Riya, S.R. and Rashid, H.A. (2023). Reverse-phase wet granulation technology aided development of rifampicin immediate release tablet. Paper presented at the 2nd International Conference on Pharmaceutical Sciences, Pharmacy Practice, and Traditional Medicines, 10–11 February, Dhaka.
• Faruk, O. (2023). Development and optimization of imatinib sustained release dosage form through QbD approach. Paper presented at the 2nd International Conference on Pharmaceutical Sciences, Pharmacy Practice, and Traditional Medicines, Faculty of Pharmacy, University of Dhaka, 11 February, Dhaka.

Oral presentation on "Development and Optimization of Imatinib Sustained Release Dosage Form through QbD Approach” at the 2nd International Conference on “Pharmaceutical Sciences, Pharmacy Practice, and Traditional Medicines,” organized by the Faculty of Pharmacy, University of Dhaka (11 February 2023).

• Mostofa Rafid Uddin, Sazan Mahbub, Md Saifur Rahman, and Md Shamsuzzoha Bayzid. SAINT: Self-Attention Augmented Inception-Inside-Inception Network Improves Protein Secondary Structure Prediction. Bioinformatics, Oxford University Press. [Link]
• Md Jakaria, Kowshika Sarker, Mostofa Rafid Uddin, Md. Mohaiminul Islam, Trisha Das, Md Shamsuzzoha Bayzid, Rameen Shakur. eMED-DNA: An in silico operating system for clinical medical data storage within the human genome. Preprint available at:  bioRxiv (2019): 814830.

In clustered or multi-center studies, risk-predictive models are often designed to predict in-hospital mortality, assess variability in hospital performance, and identify underperforming hospitals. Therefore, rigorous development and validation of these models, is essential. Although many studies focus on predictive models for independent binary outcomes, limited research addresses clustered binary outcomes. This study examines the development and validation of risk prediction models for clustered binary outcomes.

For clustered binary data, Generalized Linear Mixed Models (GLMMs), like the random intercept logistic model, are commonly used. Various estimation methods are available, including Penalized Quasi-Likelihood (PQL), Laplace Approximation, and Adaptive Gaussian Quadrature (AGQ). This study compares these methods using simulation studies, concluding that AGQ provides more accurate results.

When predicting outcomes in clusters not included in the training data, current literature suggests setting random intercepts to zero. This ignores clustering effects, leads to poor predictive performance, limits the model's applicability for out-of-sample predictions and hinders model validation. To overcome these, the study proposes two novel approaches for out-of-sample prediction and model validation. The first approach, termed the "offset" method, involves re-fitting the model in new clusters while using the linear predictor from the training data as an offset. The second approach, called the "optim" method, optimizes a prediction accuracy metric (e.g., mean square error, Brier score) over a range of random effect values in a new cluster.

The predictive performance of both methods was evaluated using metrics such as Brier score, concordance statistics, log loss, and misclassification error rate. Simulation studies demonstrated the robustness of these methods across varying cluster sizes, numbers of clusters, and clustering effects. The "optim" method showed slightly lower misclassification errors, whereas the "offset" method performed better on other accuracy metrics. Finally, the proposed methods were applied to develop and validate a risk predictive model for hypertension using data from the Bangladesh Demographic and Health Survey (BDHS) of years 2017–18 and 2022.

The study addresses the in validating predictive models with clustered data. The proposed methods can be easily extended to other models such as clustered Poisson model, and models with more complex random effect structures.

1. Tabassum, N., Deea. B. J., Rizwan, F., Islam, S. (2023).  “Behavioral alterations caused by pain and inflammation in rodent models”, 5th International Conference on Biotechnology in Health and Agriculture 2023.

2. Tabassum, N., Ahmed, N., Rashid, P. T. (2024). Elucidation of Molecular Mechanisms of Vanda Roxburghii (Family: Orchidaceae) in the Treatment of Alzheimer's Disease Utilizing Network Pharmacological Analysis, The 3rd International Electronic Conference on Biomolecules. https://doi.org/10.3390/proceedings2024103010 

3. Ahmed, N., Rashid, P. T., Tabassum, N., Deea, B.J. (2024). Role of Clitoria ternatea (Butterfly Pea) Flower in Endometriosis and Related Pain: a Network Pharmacology Based Investigation and Experimental Validation. The 3rd International Electronic Conference on Biomolecules. https://doi.org/10.3390/proceedings2024103006

4. Tabassum, N., Munny, F. A., Mahdi, S. F. A. (2024). Current Scenario of Health Care Practices Provided by Dispensers Among Bangladeshi Population. International Public Health Conference (2024).

5. Hoque, N., Sohrab, H. S., Rashid, P. T., Tabassum, N., Begum, N., Alam, M., Islam, S.  (2024). Isolation, identification and bioactivity of endophytic fungi associated with the medicinal plant Clausena excavata Burm (2024). International Conference on Biology, Ecology and Life Sciences.

6. Tabassum, N., Sourav, S. H., Nahar, N., Araf, S. S., & Deea, B. J. (2024). Elucidation of molecular mechanism underlying protective effects of delphinidin and related glycosides against colon cancer: A network pharmacology and molecular docking-based approach. Proceedings of the International Conference on Pharmaceutical and Health Sciences.
7. Deea, B. J., Sourav, S. H., Tabassum, N., & Ahmed, N. (2024). Evaluating awareness and perception of breast cancer: A survey across demographic groups. Proceedings of the International Conference on Pharmaceutical and Health Sciences.
8. Tabassum, N., Sohrab, M. H., Zinnuraine, R., Islam, S., & Hoque, N. (2024). Isolation, identification, and bioactivity of endophytic fungi isolated from the medicinal plant Murraya paniculata (Family-Rutaceae). Proceedings of the International Conference on Pharmaceutical and Health Sciences.
9. Tasneem, F., Morshed, S. S., Chowdhory, M. R., Tabassum, N., & Hossain, M. S. (2024). Assessment of the post-phase dengue symptom persistence among the Bangladeshi population: A cross-sectional study. Proceedings of the International Conference on Pharmaceutical and Health Sciences.
10. Hossain, T., Mahmood, I. F., Tabassum, N., Shipa, S. J., & Hossain, M. S. (2024). Susceptibility of Bangladeshi university-going students to gastroesophageal reflux disease (GERD) and evaluation of its associated factors: A cross-sectional study. Proceedings of the International Conference on Pharmaceutical and Health Sciences.
11. Chakrobarty, M., Reyda, R, N., Tabassum, N., Deea, B. J., & Ahmed, N. (2024). Exploring the potential of reported flavooids of Clitoria ternetea or butterfly peaflower against Diabetes mellitus as aldose reductase inhibitor throuhj molecular docking. Proceedings of the International Conference on Pharmaceutical and Health Sciences.
    
    

1. Tabassum, M., Ahmed, N., Majumder, J., Tabassum, N., & Islam, M. A. (2024). Anthelmintic and analgesic activities of different solvent fractions of crude methanolic extract of Baccaurea ramiflora (Lour.) fruit peels and seeds with molecular docking analysis. Journal of Herbmed Pharmacology, 13(3), 450-460.

2. Tabassum, N., Deea, B. J., Rizwan, F., & Islam, S. (2024). Behavioral Alterations Caused by Pain and Inflammation in Rodent Models. Bangladesh Pharmaceutical Journal, 27(2), 201-206. https://doi.org/10.3329/bpj.v27i2.75189

3. Tabassum, N., Ferdousi, M., Mahadi, S. F. A., Fairuj, A., & Shahriar, S. (2024). The Effect of Covid-19 Vaccines on Menstrual Cycle in Selected Bangladeshi Female Population. Bangladesh Pharmaceutical Journal, 27(2), 149-157. https://doi.org/10.3329/bpj.v27i2.75183 

4. Hossain, M. S., Tabassum, N., Bary, M. A., Shipa, S. J., & Sarkar, M. R. (2024). Prevalence of Overweight and Obesity among Bangladeshi Young Adults and Evaluation of the Associated Factors after COVID-19 Pandemic: a Cross-Sectional Study. Bangladesh Pharmaceutical Journal, 27(2), 182-192. https://doi.org/10.3329/bpj.v27i2.75187

5. Das, S.C., Hossain, M.S., Tabassum, N., Rahman, M. S., Bachar, S. C., Islam, M.S./ (2024). Phytochemical and Preliminary Pharmacological Evaluation of Diospyros blancoi Fruits. Dhaka University Journal of Pharmaceutical Sciences

6.  Tabassum, N., Spriha, S.E., Saha, P., Rahman. F.I.R., Hossain, A.S.M., Rahman, S.M.A. (2024). Synthesis and pharmacological evaluation of heteroarylamide derivatives as potential analgesic, anti-inflammatory, antidiarrheal and cytotoxic agents. Heliyon. (Impact factor, 3.4).

7. Ahmed., N., Tabassum, N., Rashid, P. T., Deea, B. J., Richi, F. T., Chandra, A., Agarwal, S., Mollick, S., Dipto, K. Z., Mim, S. A., Alam, S. (2024). A Multifaceted Exploration on Anti-Inflammatory and AnalgesicPotentials of Clitoria ternatea L. (Butterfly Pea) Flower AgainstEndometriosis and Related Pain Through Network Pharmacology, Molecular Docking and Molecular Dynamics Simulation Studies. Life. (Impact factor: 3.2, equal contribution first author).

Saha, S., Haque, M.F., Nahar, S., Kamal, K.M.S., Reza, A.W. (2025). COVID-19 Detection Using VGG16: Enhancing Robustness and Interpretability with Adversarial Attack Analysis and Explainable AI. In: Satu, M.S., Shamsul Arefin, M., Lio', P., Kaiser, M.S. (eds) Proceeding of the 2nd International Conference on Machine Intelligence and Emerging Technologies. MIET 2024. Lecture Notes in Networks and Systems, vol 1235. Springer, Singapore. https://doi.org/10.1007/978-981-96-2721-9_12

Saha, S., Rana, S. (2025). Explainable AI in Healthcare: Clinical Decision Support and Diagnostic Systems. In Explainable AI in Critical Domains: From Theory to Trusted Applications, Chapter 7. Nova Science Publishers, Inc.

Saha S, Rana S. Heterogeneous wealth-related differences in modern contraceptive use in Bangladesh: a machine learning-based g-computation analysis of the DHS 2022 cross-sectional survey. Accepted for publication in Journal of Health, Population and Nutrition (Q1; Springer Nature/BMC), 2026.

Instagram is very popular worldwide, however, a few studies have been conducted regarding the impact of Instagram on academic results. These studies are based on self-reported data which may provide inaccurate findings. Using actual usage data of 7 days, this paper presents a quantitative study [N=71] to examine the impact of Instagram on academic results. We also present how much Instagram is used in different time ranges (e.g. morning) and what is the impact of that on CGPA. We found that Instagram usage behaviour varies by time range. Students used it maximum in the evening and minimum in the morning. However, our correlational analysis shows that there is no correlation between Instagram usage data and CGPA. Supporting this, our comparative study also shows that high and low Instagram users have indifferent CGPA. These findings highlight the possibility that negative impact of social media can be mitigated through proper use.

Mobile Edge Cloud (MEC) provides computation ability close proximate of user compared to Internet Cloud (IC), which ensures flexibility and reliability in executing codes on mobile devices. Offloading resource hungry mobile application to MEC by mobile devices for computation is challenging. On the other hand, maintaining task provisioning within delay constraint is important too. This assignment policy still requires improvement in decreasing completion time of task and thus providing better Quality of Experience (QoE) for users. In this paper, we formulated a delay-aware task assignment as an optimization problem. The optimal assignment of task is Integer Linear Problem (ILP) and NP-Complete. As optimal solution is time costly, hence we proposed a heuristic algorithm, which is done by cooperating the MEC and IC servers to provide feasible task assignment within delay constraint. Extensive performance evaluation of the proposed algorithm indicates significant improvement in successful tasks execution and better QoE can be achieved compared to existing state-of-the-art works.

Farhana Akter, Muhammad Salehuddin Ayubee, M. Mahboob Hossain, Mohsin Kazi, Md. Abdul Mazid (2024): Antibacterial Efficacy of Varied Sized Silver Nanoparticles Synthesized by Different Combination of Reducing Agents Against Methicillin-Resistant E. coli. ICPHS-2024, Volume-1, Issue-1, 34 (OP-4)

Sumyia Chowdhury, Fahmida Chowdhury, Farhana Akter, Farhana Rizwan (2024): Detection and Quantification of Hydroquinone and Heavy Metals Content in Lipsticks Available in Bangladeshi Market. ICPHS-2024, Volume-1, Issue-1, 145 (PP 74)

Jannatul Ferdous Tanjina, Jannatul Ferdous Moumita, Farhana Akter, Farhana Rizwan (2024): Detection and Quantification of Hydroquinone and Heavy Metals Content in Skin Fairness Creams Available in Bangladeshi Market. ICPHS-2024, Volume-1, Issue-1, 146 (PP 75) 

Ayubee, M.S., Akter, F., Ahmed N. T., Kabir, A.K.L., Alam, L., Hossain, M.M., Kazi, M., Mazid, M.A. Chemical Synthesis of Silver Nanoparticles: A Comparative Study of Antibacterial Properties. Journal of Functional Biomaterials. doi:10.20944/preprints202407.1289.v1  [Accepted]

Ayubee, M.S., Akter, F., Ahmed N. T., Kabir, A.K.L., Alam, L., Hossain, M.M., Kazi, M., Mazid, M.A. Increased Efficacy of Ampicillin Conjugated with Silver Nanoparticle against Methicillin-Resistant Clinical Isolates.  Plos one [Review]

Farhana Akter, Muhammad Salehuddin Ayubee, AK Lutful Kabir, Rakibul Hasan Shanto, M. Mahboob Hossain, Mohsin Kazi, Sultan M. Alshehri, Md. Abdul Mazid (2022):  Synthesis of Metallic Nanoparticles and their Functional Characterization against Resistant Bacteria. ICGNB-2022, Volume-1, Issue-1, 42-43

Muhammad Shaiful Alam Bhuiyan, Md. Saiful Islam, Md. Mamunur Rashid, Md. Salehuddin Ayubee, Farhana Akter, Mohammed Rahmatullah (2019): Anti-diarrheal Activity of Various Solvent Fractions of Myristica fragrans seeds. ECGDS, Volume 6, Issue 4, 276-279 (Abstract Link)

Muhammad Shaiful Alam Bhuiyan, Md. Saiful Islam, Amlan Ganguly, Md. Zobaer Al-Mahmud, Md. Mamunur Rashid, Md. Salehuddin Ayubee, Farhana Akter, Mohammed Rahmatullah (2018): Evaluation of Oral Glucose Tolerance Efficacy of Various Solvent Extracts of Myristica fragrans seeds. WJPR, Volume 7, Issue 11, 167-173 (Abstract Link)

Muhammad Shaiful Alam Bhuiyan, Md. Saiful Islam, Md. Mamunur Rashid, Md. Salehuddin Ayubee, Farhana Akter, Mohammed Rahmatullah (2018): Evaluation of Analgesic and Anti-Inflammatory Activities of Various Solvent Extracts of Myristica fragrans seeds. WJPR, Volume 8, Issue 1, 329-337 Abstract Link 

Nishat Tasnim Niloy, Md Rayhan Ahmed, Sinthia Sarkar Ananna, Sanjida Kater, Iffat Jahan Shorna, Sadika Islam Sneha, Md Hasanul Ferdaus, Mohammad Manzurul Islam, Mohammad Rifat Ahmmad Rashid, Taskeed Jabid, Md Sawkat Ali

Apr 2023Informatics in Medicine Unlocked 39(2):101242

DOI: 10.1016/j.imu.2023.101242

Rashmia Nargis Reyda; Maliha Momtaj; Md. Samiul Islam; Dilshad Noor Lira

• Zahan R., Sharmin T., Rana M, Islam M.Z., Naz T, et al. (2020), Comparative & Quantitative Analysis of Collected Milk Samples from Northern Region of Bangladesh. Journal of Animal Research and Nutrition, 5(3), 1-5. Article 67. No.3:67.  

1. Islam M. Z., Amin M. A., Rahman M. A. (2023). “Antibiotic resistance profile of Escherichia coli strains isolated from suspected urinary tract infected patients from Rajshahi”, International Conference on the Role of Science and Technology Towards 4IR. (5-6 October 2023).
2. Amin M. A., Islam M. Z., Rahman M. A. (2023). “Sublethal concentration of garlic and turmeric crude extracts can not induce evolution of antibacterial resistance in clinical pathogens”.  International Conference on the Role of Science and Technology Towards 4IR. (5-6 October 2023).
3. Saha S., Sarkar M., Islam M. Z., Rahman M. A. (2024). “Isolation and characterization of Endophytic Bacteria from ginger, turmeric and Redish and investigation of their antibacterial and antioxidant activities. International Conference on Pharmaceutical and Health Sciences (ICPHS) 2024.

Hossain, M. J., Faruk, O., Lira, D. N., Shill D. K., & Rouf, A. S. S. (2024). Design and Evaluation of Hair Growth - Hair Fall Oil Formulation from Botanicals. Bangladesh Pharmaceutical Journal, 27(1), 9-18.
DOI: https://doi.org/10.3329/bpj.v27i1.71149

Hossain, M.J., Shill D.K., Das, S. C., Ahmed, K.S., Hossain, H., Kumar, U. (2024) Development of a Validated RP-HPLC Method Using Full Factorial Design for the Analysis of Ramipril. Dhaka Univ. J. Pharm. Sci. 23(1): 93-102, 2024 (June)

Hossain, M. J., Faruk, O., Shill D. K., Kumar, U., & Rouf, A. S. S. (2024). Development of Tofacitinib Sustained Released Dosage form and RP-UHPLC method through QbD approach and water-based UV method for analyzing Tofacitinib. BCSIR Congress, 8-10 March, Dhaka, Bangladesh.