Publications

Autism spectrum disorder (ASD) is a neurodevelopmental condition with increasing prevalence worldwide, including in Bangladesh. This study investigated prenatal, perinatal, and environmental risk factors associated with ASD in northeastern Bangladesh, where data on the disorder is scarce. A cross-sectional study was conducted with 168 children diagnosed with ASD (CWA), 167 typically developing children (TDC), and 185 unaffected siblings (Sib), recruited from five government-approved specialized schools in Sylhet, northeastern Bangladesh. Diagnoses were confirmed using a modified ADI-R/ADOS, and logistic regression was used to analyze associated risk factors. Advanced maternal age, firstborn status, and a history of consanguinity were significant prevalence of prenatal/perinatal complications, including birth asphyxia and blood Rh incompatibility, compared to TDC and Sib. A considerable gap in scientific awareness was noted, with many parents attributing their child’s condition to associated with ASD. Parental exposure to mercury-based dental amalgam was also strongly linked to ASD. CWA had a higher generational or religious belief. We identified critical risk factors contributing to the high prevalence of ASD in northeastern Bangladesh, underscoring the need for enhanced diagnostic, educational, and healthcare strategies to ensure good health and well-being and to provide quality education for individuals with ASD.

Prominently accountable for the upsurge of COVID‐19 cases as the world attempts to recover from the previous two waves, Omicron has further threatened the conventional therapeutic approaches. The lack of extensive research regarding Omicron has raised the need to establish correlations to understand this variant by structural comparisons. Here, we evaluate, correlate, and compare its genomic sequences through an immunoinformatic approach to understand its epidemiological characteristics and responses to existing drugs. We reconstructed the phylogenetic tree and compared the mutational spectrum. We analyzed the mutations that occurred in the Omicron variant and correlated how these mutations affect infectivity and pathogenicity. Then, we studied how mutations in the receptor‐binding domain affect its interaction with host factors through molecular docking. Finally, we evaluated the drug efficacy against the main protease of the Omicron through molecular docking and validated the docking results with molecular dynamics simulation.  Phylogenetic and mutational analysis revealed the Omicron variant is similar to the highly infectious B.1.620 variant, while mutations within the prominent proteins are hypothesized to alter its pathogenicity. Moreover, docking evaluations revealed significant differences in binding affinity with human receptors, angiotensin‐converting enzyme 2 and NRP1. Surprisingly, most of the tested drugs were proven to be effective. Nirmatrelvir, 13b, and Lopinavir displayed increased effectiveness against Omicron. Omicron variant may be originated from the highly infectious B.1.620 variant, while it was less pathogenic due to the mutations in the prominent proteins. Nirmatrelvir, 13b, and Lopinavir would be the most effective, compared to other promising drugs that were proven effective.

1. Shovon Talukder, “Computational and Experimental Analysis of a Triode Microfuse with a WO3 Heater,” Journal of Sensors, vol. 2023, pp. 1–20, Mar. 2023, doi: 10.1155/2023/7525559.

2. Shovon Talukder, Farzana Alam, “FINITE ELEMENT METHOD-BASED ELECTRO-THERMO-MECHANICAL ANALYSIS OF UNIMORPH ACTUATOR FOR MICROROBOTS APPLICATION,” THE SEU JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING (SEUJEEE), vol. 03, no. 01, JANUARY 2023, Art. no. 2710–2149, Jun. 2023.

1. S. Talukder, M. R. Khan and M. A. Alam, "Canary in Coal Mine: Junction Box Temperature Provides Early Warning of Manufacture, Installation, or Degradation Faults," 2025 IEEE 53rd Photovoltaic Specialists Conference (PVSC), Montreal, QC, Canada, 2025, pp. 0903-0905, doi: 10.1109/PVSC59419.2025.11133192. keywords: {Degradation;Temperature measurement;Temperature distribution;Corrosion;Thermal resistance;Infrared imaging;Thermal management;Junctions;Soldering;Thermal degradation;Junction Box Temperature;Photovoltaic Systems;Infrared Thermography;Corrosion Resistance;Module Reliability;Thermal Modeling;Bypass Diode Failures}

2. Shovon Talukder and H. C. Kim, “A Novel Triode Micro Fuse Structure with WO3 Heater,” [Symposium 08] Materials and Devices for Power Electronic, The 6th International Conference on Advanced Electromaterials (ICAE 2021), ResearchGate, Nov. 2021, DOI: 10.13140/RG.2.2.35295.94883.

3. Shovon Talukder and H. C. Kim, “A Computational study of a three-electrode based micro fuse structure,” The Institute of Electronics and Information Engineers, ResearchGate, Feb. 2020, [Online]. Available: https://www.researchgate.net/publication/369180834_A_Computational_study_of_a_three-electrode_based_micro_fuse_structure

4. Shovon Talukder and H. C. Kim, “Negative temperature coefficient characteristics of Tungsten oxide as a heater material,” The Institute of Electronics and Information Engineers, Changwon, South Korea, ResearchGate, Dec. 2021, [Online]. Available: https://www.researchgate.net/publication/369180831_Negative_temperature_coefficient_characteristics_of_Tungsten_oxide_as_a_heater_material

5. F. Farid, M. M. Uddin, Shovon Talukder, and H. C. Kim, “A Simulation Study of a Four-Cantilever Beam based Hybrid Piezo-Tribo Nanogenerator,” The Institute of Electronics and Information Engineers, Changwon, South Korea, ResearchGate, Dec. 2021, [Online]. Available: https://www.researchgate.net/publication/368642512_A_Simulation_Study_of_a_Four-Cantilever_Beam_based_Hybrid_Piezo-Tribo_Nanogenerator

1. M. Y. A. Emon, N. Vasker, M. S. Hossain, M. A. I. Anik, M. Mia, M. B. R. Nuha, M. Tahsin, M. Hasan, and R. U. Islam, “Real-time pcb flaw detection a vision for more efficient and accurate future,” in 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE). IEEE, 2024, pp. 1–6.
2. T. U. Ahmed, S. Hossain, M. S. Hossain, R. U. Islam, K. Andersson, “A Deep Learning Approach with Data Augmentation to Recognize Facial Expressions in Real Time,” in Proc. of The Third International Conference on Trends in Computational and Cognitive Engineering. Springer,2022, pp. 487-500.
3. S. M. Raihan, M. Ahmed, A. Sharma, M. S. Hossain, R. U. Islam, K. Andersson, “A Belief Rule Based Expert System to Diagnose Alzheimer’s Disease Using Whole Blood Gene Expression Data,” in Proc. Of International Conference on Brain Informatics. Springer, 2022, pp. 301-315.
4. S. M. Raihan, R. U. Islam, M. S. Hossain, K. Andersson, “A BRBES to Support Diagnosis of COVID-19 Using Clinical and CT Scan Data,” in Proc. Of the International Conference on Big Data, IoT, and Machine Learning. Springer, 2022, pp. 483-496.
5. S. Raihan, S.N. Zisad, R.U. Islam, M.S. Hossain, and K. Andersson, “A Belief Rule Base Approach to Support Comparison of Digital Speech Signal Features for Parkinson’s Disease Diagnosis,” in Proc. International Conference on Brain Informatics. Springer, 2021, pp. 388-400.
6. T. A. Sumi, M. S. Hossain, R. U. Islam, and K. Andersson. "Human Gender Detection from Facial Images Using Convolution Neural Network," in Proc.  International Conference on Applied Intelligence and Informatics, Springer, 2021, pp. 188-203.
7. R. U. Islam, M. S. Hossain, and K. Andersson, “Inference and Multi-level Learning in a Belief Rule Based Expert System to Predict Flood under Uncertainty,” in Proc. 9th International Conference on Informatics, Electronics & Vision (ICIEV). IEEE, 2020.
8. R. U. Islam, M. S. Hossain, and K. Andersson, “A learning mechanism for BRBES using enhanced Belief Rule-Based Adaptive Differential Evolution,” in Proc. 9th International Conference on Informatics, Electronics & Vision (ICIEV). IEEE, 2020
9. T. U. Ahmed, S. Hossain, M. S. Hossain, R. U. Islam, and K. Andersson, “Facial expression recognition using convolutional neural network with data augmentation,” in Proc. 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). IEEE, 2019, pp. 336–341.
10. M. Z. Islam, M. S. Hossain, R. U. Islam, and K. Andersson, “Static hand gesture recognition using convolutional neural network with data augmentation,” in Proc. 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). IEEE, 2019, pp. 324–329.
11. R. R. Chowdhury, M. S. Hossain, R. U. Islam, K. Andersson, and S. Hossain, “Bangla handwritten character recognition using convolutional neural network with data augmentation,” in Proc. 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). IEEE, 2019, pp. 318–323.
12. M. N. Jamil, M. S. Hossain, R. U. Islam, and K. Andersson, “A belief rule based expert system for evaluating technological innovation capability of high-tech firms under uncertainty,” in Proc. 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). IEEE, 2019, pp. 330–335
13. R. U. Islam, K. Andersson, and M. S. Hossain, “Network intelligence for enhanced multi-access edge computing (MEC) in 5g,” in Swedish National Computer Networking Workshop, 2019.
14. M. R. Sabbir Hridoy, M. S. Hossain, R. U. Islam, and K. Andersson, “A web based belief rule based expert system for assessing flood risk,” in Proc. 19th International Conference on Information Integration and Web-based Applications & Services. ACM, 2017, pp. 434–440.
15. R. U. Islam, K. Andersson, and M. S. Hossain, “Heterogeneous wireless sensor networks using CoAP and SMS to predict natural disasters,” in Proc. 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2017, pp. 30–35.
16. S. Thombre, R. U. Islam, K. Andersson, and M. S. Hossain, “Performance analysis of an IP based protocol stack for WSNs,” in Proc. 2016 IEEE conference on computer communications workshops (INFOCOM WKSHPS). IEEE, 2016, pp. 360–365.
17. C. Kilinc, S. A. M. Mostafa, R. U. Islam, K. Shahzad, and K. Andersson, “Indoor Taxi-Cab: Real-Time Indoor Positioning and Location-Based Services with Ekahau and Android OS,” in Proc. 2014 Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing. IEEE, 2014, pp. 223–228.
18. R. U. Islam, M. Schmidt, H. Kolbe, and K. Andersson, “Nomadic mobility between smart homes,” in Proc. 2012 IEEE Globecom Workshops (GC Workshops). IEEE, 2012, pp. 1062–1067.
19. K. Andersson, S. Al Mahmud Mostafa, and R. U. Islam, “Mobile VoIP User Experience in LTE,” in Proc. 2011 36th IEEE Conference on Local Computer Networks (LCN 2011). IEEE, 2011, pp. 785–788.
20. M.S. Hossain, R. U. Islam, S. Hossain, “A System to Support Person Identification using Ear Biometrics,” in Proc. 2004 7th International Conference on Computer and Information Technology, 2004.
21. A. Islam, M.S. Imran, R. U. Islam, M.B.A. Salam, “A Multifarious Faces and Facial Features Detection Algorithm for Color Images Based on Grey-scale Information and Facial Geometry,” in Proc. 2003 6th International Conference on Computer and Information Technology. 2003.
22. A. Islam, R. U. Islam, M.S. Imran, M.B.A. Salam, “A Novel Approach for Automatic Construction of 3D Facial Model from Two Orthogonal Images of a Face,” In Proc. 2003 6th International Conference on Computer and Information Technology. 2003

1. S. Kabir, R. U. Islam, M. S. Hossain, K. Andersson, “An integrated approach of Belief Rule Base and Convolutional Neural Network to monitor air quality in Shanghai,” Expert Systems with Applications, Vol no 206, article id 117905, 2022.
2. T. U. Ahmed, M. N. Jamil, M. S. Hossain, R. U. Islam, K. Andersson, “An Integrated Deep Learning and Belief Rule Base Intelligent System to Predict Survival of COVID-19 Patient under Uncertainty,” Cognitive Computation, Vol no 14, Issue 2, Pages 660-676, 2022.
3. M. Ahmed, M. S. Hossain, R. U. Islam, K. Andersson, “Explainable Text Classification Model for COVID-19 Fake News Detection,” Journal of Internet Services and Information Security, Vol no 12, Issue 2, Pages 51-69, 2022.
4. S. N. Zisad, E. Chowdhury, M. S. Hossain, R. U. Islam, and K. Andersson, "An integrated deep learning and belief rule-based expert system for visual sentiment analysis under uncertainty." Algorithms, Vol no 14, no. 7, article id 213, 2021.
5. F. Ahmed, M. S. Hossain, R. U. Islam, and K. Andersson. "An evolutionary belief rule-based clinical decision support system to predict Covid-19 severity under uncertainty." Applied Sciences, Vol no 11, no. 13, article id 5810, 2021.
6. M. N. Jamil, M. S. Hossain, R. U. Islam, and K. Andersson. "Technological Innovation Capability Evaluation of High-Tech Firms Using Conjunctive and Disjunctive Belief Rule-Based Expert System: A Comparative Study." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, Vol 11, no. 3, pp. 29-49, 2020.
7. R. U. Islam, M. S. Hossain, and K. Andersson, “A Deep Learning Inspired Belief
8. Rule-based Expert System,” IEEE Access, Vol no 8, pp. 190637-190651, (2020).
9. S. Kabir, R. U. Islam, M. S. Hossain, and K. Andersson, “An Integrated Approach of Belief Rule Base and Deep Learning to Predict Air Pollution,” Sensors, vol. 20, no. 7, article id 1956, 2020.
10. R. U. Islam, X. Ruci, M. S. Hossain, K. Andersson, and A.-L. Kor, “Capacity Management of Hyperscale Data Centers Using Predictive Modelling,” Energies, Vol. 12, No. 18, article id 3438, 2019.
11. R. U. Islam, M. S. Hossain, and K. Andersson, “A novel anomaly detection algorithm for sensor data under uncertainty,” Soft Computing, vol. 22, no. 5, pp. 1623–1639, 2018.
12. S. Thombre, R. U. Islam, K. Andersson, and M. S. Hossain, “IP based wireless sensor networks: performance analysis using simulations and experiments,” Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, vol. 7, no. 3, pp. 53–76, 2016.
13. R. U. Islam, M. Schmidt, H. Kolbe, K. Andersson, “Secure and Scalable Multimedia Sharing between Smart Homes,” Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, vol. 5, no. 3, pp. 79-91, 2014.

1. M. N. Jamil, M. S. Hossain, R. U.  Islam and K. Andersson, “Belief Rule-Based Adaptive Particle Swarm Optimization,” in Data Science and Big Data Analytics in Smart Environments, CRC Press, 2021, pp. 88-107.
2. A. A. Monrat, R. U. Islam, M. S. Hossain, and K. Andersson, “Challenges and opportunities of using big data for assessing flood risks,” in Applications of Big Data Analytics. Springer, 2018, pp. 31–42

1. M. A. Rahman, T. Kim, S. A. Chowdhury, M. M. K. Rasel and Y. -K. Lee, 2026. Semantic Skyline: Multi-Embedding Skyline Query Processing for RAG Workloads in Vector Databases. IEEE Access, doi: 10.1109/ACCESS.2026.3724578.
2. Islam, M.M., Niva, M.N.J., Chowdhury, A., Masum, S., Shams, R.A., Jabid, T., Ali, M.S., Rasel, M.M.K. and Mridha, M.F., 2025. A two-stage model for enhanced mango leaf disease detection using an innovative handcrafted spatial feature extraction method and knowledge distillation process. Ecological Informatics, p.103365.
3. Islam, M., Islam, M., Suny, A., Al Rafi, A., Chowdhury, A., Islam, M.M., Masum, S., Ali, M.S., Jabid, T. and Rasel, M.M.K., 2025. Dry fruit image classification using stacking ensemble model. Journal of Agriculture and Food Research, 21, p.101850.
4. Rahman, M.A., Jahan, I., Islam, M., Jabid, T., Ali, M.S., Rashid, M.R.A., Islam, M.M., Ferdaus, M.H., Rasel, M.M.K., Jahan, M.R. and Sharmin, S., 2025. Improving sleep disorder diagnosis through optimized machine learning approaches. IEEE Access.
5. Md Tahsin, Matin, M. M., Khandaker, M., Reemu, R. S., Arnab, M. I., Rashid, M. R. A., Rasel, M. K., Islam, M. M., Islam, M., & Ali, M. S. (2024). An extensive image dataset for deep learning-based classification of rice kernel varieties in Bangladesh. Data in Brief (IF 1.29) 57, 111109. https://doi.org/10.1016/j.dib.2024.111109
   
6. Rasel, M. K. Hasan, M., Rashid, M. R. A., Hasanul, M. F., Islam, M. M., Ali, M. S., Islam, M., & Islam, M. A. (2024). DecentraLend: A Blockchain-based Monetization for Decentralized Lending System. International Journal of Computing and Digital Systems (IF 1.14). http://dx.doi.org/10.12785/ijcds/1501118
   
7. Rasel, M. K., Huq, M. R., & Arifuzzaman, M. (2024). GraphIdx: An Efficient Indexing Technique for Accelerating Graph Data Mining. Software Impacts (IF 1.71). https://doi.org/10.1016/j.simpa.2024.100632
   
8. Rasel, M. K. (2023). FAW: Flag aligned word-based encoding for in-place integers compression. Software Impacts (IF 1.71).  https://doi.org/10.1016/j.simpa.2023.100612
9. Batjargal, D., Khan, K., Rasel, M. K., & Lee, Y.-K. (2019). Starzip: streaming graph compression technique for data archiving. IEEE Access (IF 3.557). https://doi.org/10.1109/ACCESS.2019.2899921
10. Rasel, M. K., Elena, E., & Lee, Y.-K. (2018). Summarized bit batch-based triangle listing in massive graphs. Information Sciences (IF 8.1). https://doi.org/10.1016/j.ins.2018.02.018
11. Rasel, M. K. & Lee, Y.-K. (2018). On-the-fly output compression for join-based graph mining algorithms. IEEE Access (IF 3.557). https://doi.org/10.1109/ACCESS.2018.2878032
12. Hong, J., Park, K., Han, Y., Rasel, M. K., & Lee, Y.-K. (2017). Disk-based shortest path discovery using distance index over large dynamic graphs. Information Sciences (IF 8.1). https://doi.org/10.1016/j.ins.2016.12.013
13. Rasel, M. K., Han, Y., Kim, J., Park, K., Tu, N. A., & Lee, Y.-K. (2016). Itri: index-based triangle listing in massive graphs. Information Sciences (IF 8.1).  https://doi.org/10.1016/j.ins.2015.12.006
14. Tu, N. A., Dinh, D.-L., Rasel, M. K., & Lee, Y.-K. (2016). Topic modeling and improvement of image representation for large-scale image retrieval. Information Sciences (IF 8.1). https://doi.org/10.1016/j.ins.2016.05.029
15. Guan, D., Yuan, W., Lee, Y.-K., Najeebullah, K., & Rasel, M. K. (2014). A review of ensemble learning based feature selection. IETE Technical Review (IF 2.4).  https://doi.org/10.1080/02564602.2014.906859

1. Sultana, T., Rasel, M. K., Alam, A., & Lee, Y.-K. (2020, September). Frequent and semantically related term detection based encoding and compression for knowledge graphs. In Proceedings of the korean database conference (kdbc), 2020. Best Paper Award. Jeju, South Korea.
2. Rahman, M. A., Rasel, M. K., & Lee, Y.-K. (2020, July). A survey on shared computation in multi query processing system. In Proceedings of the korea information science society, 2020 (pp. 97–99). Busan, South Korea.
3. Rasel, M. K. & Lee, Y.-K. (2019, June). Jiffy: a segment aligned-based dynamic graph compression algorithm. In Proceedings of the korea information science society, 2019. Best Paper Award. Jeju, South Korea.
4. Park, K., Seo, H., Rasel, M. K., Lee, Y.-K., Jeong, C., Lee, S. Y., … Lee, D.-H. (2019). Iterative query processing based on unified optimization techniques. In Proceedings of the 2019 international conference on management of data (pp. 54–68). SIGMOD ’19. Amsterdam, Netherlands: ACM. https://doi.org/10.1145/3299869.3324960
5. Rasel, M. K. & Lee, Y.-K. (2018a, December). A study on redundancy of uri properties in rdf triples. In Proceedings of the korea information science society, 2018. South Korea.
6. Rasel, M. K. & Lee, Y.-K. (2018b, June). A key-value based encoding approach for compressing large graphs in spark. In Proceedings of the korea information science society, 2018 (pp. 194–196). Best Paper Award. Jeju, South Korea.
7. Rasel, M. K. & Lee, Y.-K. (2018c). An efficient subgraph compression-based technique for reducing the i/o cost of join-based graph mining algorithms. In Proceedings of the 7th international conference on emerging databases (pp. 78–88). Busan, South Korea. https://doi.org/10.1007/978-981-10-6520-0_9
8. Umair, M., Rasel, M. K., & Lee, Y.-K. (2017). Block formulation technique for compressed graph computation. In Proceedings of the korea information science society, 2017 (pp. 263–265). South Korea.
9. Khan, K. U., Rasel, M. K., Noorulamin, M., Nawaz, W., & Lee, Y.-K. (2016). On efficiently summarizing a large dynamic graph. In Big data and smart computing (bigcomp), 2016 international conference on (pp. 345–348). IEEE. Hong Kong. https://doi.org/10.1109/BIGCOMP.2016.7425944
10. Rasel, M. K. & Lee, Y.-K. (2016). Exploiting cpu parallelism for triangle listing using hybrid summarized bit batch vector. In Big data and smart computing (bigcomp), 2016 international conference on (pp. 183–190). Best Paper Award. IEEE. Hong Kong. https://doi.org/10.1109/BIGCOMP.2016.7425819
11. Vonvou, D., Rasel, M. K., & Lee, Y.-K. (2016). Efficient array versioning with multi versions retrievals using skip link and spanning tree. In Proceedings of the korea information science society, 2016 (pp. 208–210). South Korea.
12. Vonvou, D., Rasel, M. K., & Lee, Y.-K. (2015). Array version retrieval using reverse delta materialization. In Proceedings of the korea information science society, 2015 (pp. 115–117). South Korea.

1. Jeong, Taeyoung and Park, Kisung and Jeong, Chanho and Kim, Ki Hong and Lee, Young-koo and Rasel, Md Mostofa Kamal. 2023. OPERATOR MOVEMENT OPTIMIZATION TECHNIQUE FOR PROCEDURES. US12475119B2, filed Dec 23, 2021, issued Feb 16, 2023, and granted Nov 18, 2025. SAP SE. U.S. Patent Granted. https://patents.google.com/patent/US12475119B2  
2. Lee, Y.-K. & Rasel, M. K. (2019, September 9). Method and system for extracting a triangle. KR102019750. Kyung Hee University Industry-Academic Cooperation Foundation. K.R. Patent Granted. https://patentscope.wipo.int/search/en/detail.jsf?docId=KR251666008
3. Lee, Y.-K., Rasel, M. K., Han, Y., Kim, J., Park, K., & Tu, N. A. (2019, February 5). Apparatus and method of processing graphic data using index based triangle listing. US10198529B2. Kyung Hee University Industry-Academic Cooperation Foundation. U.S. Patent Granted. https://patents.google.com/patent/US10198529B2
4. Lee, Y.-K. & Rasel, M. K. (2018, June 28). Method, apparatus and computer program for information compression. KR1018722410000. Kyung Hee University Industry-Academic Cooperation Foundation. K.R. Patent Granted. https://patentscope.wipo.int/search/en/detail.jsf?docId=KR223270106

1. Islam, M., Rashid, M.R.A., Tuhin, R.A., Rasel, M.M.K., Rafa, S.N., Ali, M.S., Jabid, T., Islam, M.M. and Ferdaus, M.H., 2025. Sustainable Healthcare Cybersecurity Solutions for the Internet of Health Things. Cybersecurity for Internet of Health Things.
2. Ferdaus, M.H., Alharbi, F., Rifat, M., Rashid, A., Rasel, M.M.K., Jabid, T., Ali, M.S., Islam, M.M. and Islam, M., 2025. Artificial Intelligence, Privacy, Governance, and Ethics for the Internet of Healthcare Things. Cybersecurity for Internet of Health Things, p.289.

International

• Kabir, M. T., Uddin, M., Begum, M., Thangapandiyan, S., Rahman, M., Aleya, L., ... & Ashraf, G. M. (2019). Cholinesterase inhibitors for Alzheimer's disease: multitargeting strategy based on anti-Alzheimer's drugs repositioning. Current pharmaceutical design, 25(33), 3519-3535.
• Begum, M., Ulvi, O., Karamehic-Muratovic, A., Walsh, M. R., Tarek, H., Lubinda, J., ... & Haque, U. (2021). Quantifying Media Effects, Its Content, and Role in Promoting Community Awareness of Chikungunya Epidemic in Bangladesh. Epidemiologia, 2(1), 84-94.
• Tuhin, R. H., Begum, M. M., Rahman, M. S., Karim, R., Begum, T., Ahmed, S. U., ... & Begum, R. (2017). Wound healing effect of Euphorbia hirta linn.(Euphorbiaceae) in alloxan induced diabetic rats. BMC complementary and alternative medicine, 17(1), 1-14.
• Kabir, M. T., Sufian, M. A., Uddin, M., Begum, M., Akhter, S., Islam, A., ... & Amran, M. (2019). NMDA Receptor Antagonists: Repositioning of Memantine as a Multitargeting Agent for Alzheimer's Therapy. Current pharmaceutical design, 25(33), 3506-3518.
• Uddin, M. S., Al Mamun, A., Asaduzzaman, M. D., Hosn, F., Sufian, M. A., Takeda, S., Begum, M. M.,... & Sujan, M. A. R. (2018). Spectrum of disease and prescription pattern for outpatients with neurological disorders: an empirical pilot study in Bangladesh. Annals of neurosciences, 25(1), 25-37.
• Uddin, M. S., Mamun, A. A., Takeda, S., Sarwar, M. S., & Begum, M. M. (2019). Analyzing the chance of developing dementia among geriatric people: a cross‐sectional pilot study in Bangladesh. Psychogeriatrics, 19(2), 87-94.
• Mostofa, R., Ahmed, S., Begum, M. M., Rahman, M. S., Begum, T., Ahmed, S. U., ... & Begum, R. (2017). Evaluation of anti-inflammatory and gastric anti-ulcer activity of Phyllanthus niruri L.(Euphorbiaceae) leaves in experimental rats. BMC complementary and alternative medicine, 17(1), 1-10.
• Uddin, M. S., Uddin, G. S., Begum, M. M., Begum, Y., Herrera-Calderon, O., Islam, M. M., & Abdel-Daim, M. M. (2017). Inspection of phytochemical content and in vitro antioxidant profile of Gnaphalium luteoalbum L.: An unexplored phytomedicine. Journal of Pharmacy and Nutrition Sciences, 136-146.
• Uddin, M. S., Haque, A., Mamun, A. A., Iqbal, M. A., Kabir, M. T., Rony, R. K., & Begum, M. (2016). Searching the linkage between high fat diet and Alzheimer’s disease: a debatable proof stand for ketogenic diet to alleviate symptoms of Alzheimer’s patient with APOE ε4 allele. J Neurol Neurophysiol, 7(5), 1-9.
• Uddin, M. S., Al Mamun, A., Kabir, M. T., Nasrullah, M., Wahid, F., Begum, M. M., ... & Abdel-Daim, M. M. (2018). Neurochemistry of neurochemicals: messengers of brain functions. Journal of Intellectual Disability-Diagnosis and Treatment, 5(4), 137-151.
• Begum, M., Islam, A., Begum, R., Uddin, M., Rahman, M., Alam, S., ... & Imon, A. H. M. (2019). Ethnopharmacological inspections of organic extract of Oroxylum indicum in rat models: a promising natural gift. Evidence-Based Complementary and Alternative Medicine, 2019.
• Hossain, M. S., Rahman, M. S., Imon, A. R., Zaman, S., Siddiky, A. B. A., Mondal, M., ... & Begum, M. M. (2017). Ethnopharmacological investigations of methanolic extract of Pouzolzia Zeylanica (L.) Benn. Clinical Phytoscience, 2(1), 1-10.
• Hossain, M. S., Uddin, M. S., Kabir, M. T., Begum, M. M., Koushal, P., & Herrera-Calderon, O. (2017). In vitro screening for phytochemicals and antioxidant activities of Syngonium podophyllum l.: An incredible therapeutic plant. Biomedical and Pharmacology Journal, 10(3), 1267-1277.
• Lubinda, J., Walsh, M. R., Moore, A. J., Hanafi-Bojd, A. A., Akgun, S., Zhao, B., Begum, M. M.,... & Haque, U. (2019). Environmental suitability for Aedes aegypti and Aedes albopictus and the spatial distribution of major arboviral infections in Mexico. Parasite epidemiology and control, 6, e00116.
• Begum, M. M., Biswas, K., Sarker, A., Huq, T., & Sarwar, A. (2015). Anticholinesterase and antioxidant potentials of a medicinal plant Abroma augusta: Implications for the alternative treatment therapy of cognitive deficits in Alzheimer’s disease. Clin Pharmacol Biopharm, 4(148), 2.
• Haque, M., Begum, M. M., Hasan, M., Rahman, A. T., Hussain, M. I., Rahman, M. M., ... & Hasan, C. M. (2015). Investigation of the medicinal potentials of Syzygium jambos (L.) extract and characterization of the isolated compounds. American Journal of Bio Science, 3(2-1), 12-18.
• Begum, M. M., Uddin, M. S., Rahman, M. S., Nure, M. A., Saha, R. R., Begum, T., ... & Karim, R. (2017). Analysis of prescription pattern of antibiotic drugs on patients suffering from ENT infection within Dhaka Metropolis, Bangladesh. Int J Basic Clinic Pharmacology, 6(2), 257-64.
• Huq, T. B., Rahman, M. S., Nure, M. A., Hossain, M. S., Sarwar, A., Islam, A., ... & Begum, M. M. (2017). Evaluation of pharmacological activities of methanol extract of Ixora cuneifolia leaves. Clinical Phytoscience, 2(1), 1-9.
• Rahman, M. S., Asaduzzaman, M., Munira, S., Begum, M. M., Rahman, M. M., Hasan, M., ... & Islam, M. A. (2016). Comparative study of anti-hyperglycemic and anti-hyperlipidemic effects of honey, Coccinia cordifolia and Hilsha fish oil in streptozotocin induced diabetic rats. Biology and Medicine, 8(2), 1.
• Begum, M. M., Sultana, Z., Ali, M. E., Jami, M. S. I., Khondkar, P., Khan, M. M., & Haque, M. M. (2014). Additive effect of lipid lowering drug (Simvastatin) in combination with antidiabetic drug (Glibenclamide) on alloxan induced diabetic rats with long term dyslipidemia. Indian Journal of Clinical Biochemistry, 29(4), 452-461.
• Jami, M. S. I., Sultana, Z., & Ali, M. E. (2014). Mst. Marium Begum, Md. Mominul Haque. Evaluation of Analgesic and Anti-Inflammatory Activities on Ethanolic Extract of Terminalia chebula Fruits in Experimental Animal Models. American Journal of Plant Sciences, 5(1), 63-69.
• Begum, M. M., Haque, M., Reyad-ul-Ferdous, M., Hasan, M., Tarek, H., Noor-A-Alam, M., ... & Hasan, C. M. (2015). Screening of Antioxidant and Antimicrobial Properties of the Syzygium jambos L. American Journal of BioScience, 3(2-1), 23-26.
• Uddin, M. S., Kabir, M. T., Begum, M. M., Islam, M. S., Behl, T., & Ashraf, M. G. M. (2020). Exploring the Role of CLU in the Pathogenesis of Alzheimer’s Disease. Neurotoxicity research, 1-12.
• Sabbir, A., Islam, M., Begum, M. M., Poddar, S. K., & Ganguly, A. (2016). A review on Zika infection: From strain identification to Guillain-Barré syndrome complication. Asian Pacific Journal of Tropical Disease, 6(12), 925-927.
• Karim, R., Saha, R., Rahman, M. S., Nure, A., Etu, K. A., & Jamila, U. Begum, M. M.,(2016). A survey of prescription pattern of anti-diabetic drugs on diabetic patients with cardiovascular complications within Dhaka metropolis. Int J Basic Clin Pharmacol, 5(6), 2397-402.
• Begum, M. M., Rahman, A. T., Islam, S., Asaduzzaman, M., Ali, H., Zannah, S., ... & Ali, Y. (2014). Simvastatin potentiates the antihyperglycemic, antidyslipidimic and antioxidative effect of glibenclamide on alloxan-induced diabetic rats. Pharmacology & Pharmacy, 5(11), 1059.
• Mostofa, R., Begum, R., Wang, H., Begum, M. M., Karim, R., Begum, T., ... & Nova, T. T. (2020). Promising anitidiabetic potential of Cuscuta reflexa leaves methanol extract in alloxan-induced diabetic rats. Clinical Phytoscience, 6, 1-11.
• Begum, M., Uddin, M., Rithy, J. F., Kabir, J., Tewari, D., Islam, A., & Ashraf, G. M. (2019). Analyzing the impact of soft, stimulating and depressing songs on attention among undergraduate students: A cross-sectional pilot study in Bangladesh. Frontiers in psychology, 10, 161.
• Begum, M. M., Begum, T., Rahman, M. A., Haque, T., Khan, M. A., Hossain, M. B., ... & Jami, M. S. I. (2015). Potential In-Vivo Evaluation of Analgesic Investigation of Mangifera indica and Antimicrobial Activity of Areca catechu. American Journal of Bio Science, 3(2-1), 19-22.
• Das, M., Debnath, D., Hoque, M. A., Rahman, M. S., Alam, S., Islam, A., & Begum, M. M. (2019). Preliminary phytochemical and biological investigations of ethanolic extract of Grewia hirsute Vahl. Oriental Pharmacy and Experimental Medicine, 19(2), 145-156.
• Begum, M. M., Hossain, R., Uddin, M. S., Rahman, M. S., Rahman, M. M., Saha, R., ... & Karim, R. (2018). Exploring the Effect of Caffeine on Decelerating the Lethargic Action of Diclofenac in the Treatment of Pain. Journal of Pharmaceutical Research International, 1-13.
• A. Tabassum, R.R. Saha, M.S. Rahman, M.A. Nure, R. Karim, A.H.M.R. Imon, M. Maniruzzaman, A.K.L. Kabir, A. Islam, J.F. Chaity, B.C. Adhikary, A. Sarwar, T.B. Huq and Mst. M. Begum, 2017. Combined Paracetamol and Ibuprofen for the Study of Analgesic Activity of Newly Formulated Dose in Prospective Pain Management in Bangladesh. Journal of Pharmacology and Toxicology, 12: 1-13.
• Begum, M. M., Uddin, M. S., Rahman, M. S., Nure, M. A., Saha, R. R., Begum, T., ... & Karim, R. (2017). Analysis of prescription pattern of antibiotic drugs on patients suffering from ENT infection within Dhaka Metropolis, Bangladesh. Int J Basic Clinic Pharmacology, 6(2), 257-64.

1. Name of Book: Nanocarriers for Brain TargetingPrinciples and Applications,By Md Shahab Uddin and Mst. Marium Begum. Book Chapter: Carriers for Brain Targeting: Recent Advances and Challenges,linkhttp://www.appleacademicpress.com/nanocarriers-for-brain-targeting principles-and-applications/97817718873
   *Corresponding author

• Baer, H., Barger, V., Bolich, J., Martinez, D., Salam, Shadman, Sengupta, D., Zhang, K. Prospects of supersymmetry at High-Luminosity LHC, Reviews of Modern Physics, October 2025 
• Baer, H., Barger, V., Martinez, D., Salam, Shadman. Weak scale supersymmetry emergent from the string landscape, Entropy, March 2024 
• Baer, H., Barger, V., Martinez, D., Salam, Shadman. Practical naturalness and its implications for weak scale supersymmetry, Phys. Rev. D.108.035050. August 2023 
• Baer, H., Barger, V., Martinez, D., Salam, Shadman. Fine-tuned vs. natural supersymmetry: what does the string landscape predict?, J. High Energy. Phys. 2022, 125 (2022). September 2022 
• H. Baer, V. Barger, D. Martinez, Salam, Shadman. Radiative natural supersymmetry emergent from the string landscape, J. High Energy. Phys. 2022, 186 (2022), March 2022 
• H. Baer, V. Barger, Salam, Shadman, H. Serce, Supersymmetric particle and Higgs boson masses from the landscape: Dynamical versus spontaneous supersymmetry breaking, Phys. Rev. D 104, 115025, December 2021 
• H. Baer, V. Barger, Salam, Shadman, D. Sengupta, Landscape Higgs boson and sparticle mass predictions from a logarithmic soft term distribution, Phys. Rev. D 103, 035031, February 2021 
• H. Baer, V. Barger, Salam, Shadman, D. Sengupta, Status of weak scale supersymmetry after LHC Run 2 and ton-scale noble liquid WIMP searches, Eur. Phys. J. Spec. Top. 229, 3085–3141 (2020), December 2020 
• H. Baer, V. Barger, Salam, Shadman, D. Sengupta, The LHC higgsino discovery plane for present and future SUSY searches, Phys. Lett. B 2020.135777, November 2020 
• H. Baer, V. Barger, Salam, Shadman, D. Sengupta, String landscape guide to soft SUSY breaking terms, Phys. Rev. D 102, 075012, October 2020 
• H. Baer, V. Barger, Salam, Shadman. Naturalness versus stringy naturalness with implications for collider and dark matter searches, Phys. Rev. Research 1, 023001, September 2019 
• H. Baer, V. Barger, Salam, Shadman, H. Serce, K. Sinha, LHC SUSY and WIMP dark matter searches confront the string theory landscape, J. High Energ. Phys. 2019, 43 (2019), April 2019

• Natural SUSY emergent from the string landscape, Plenary Talk, SUSY 2026, University of Oklahoma, Norman, USA, May 2026
• Lectures on Quantum Field Theory and The Standard Model, Jamal Nazrul Islam Memorial Winter School, ICTP Physics without Frontiers, BRAC University, Dhaka, Bangladesh, January 2025; Link to lecture series: Jamal Nazrul Islam Memorial Winter School Lectures 
• Simulation of High Energy Cosmic Ray Showers using CORSIKA, The University of Dhaka, Dhaka, Bangladesh, February 2016

• Fox, P., Kribs, G., Murayama, H., Salam, Shadman, et. al, TF08 Snowmass Report: BSM Model Building, arXiv, October 2022 
• Bose, T., Boveia, A., Salam, Shadman, et. al, Report of the Topical Group on Physics Beyond the Standard Model at Energy Frontier for Snowmass 2021, arXiv,  September 2022 
• Baer, H., Barger, V., Salam, Shadman, Sengupta, D., Mini-review: Expectations for supersymmetry from the string landscape, arXiv,  February 2022

• Gani, R., Rashid, M.R.A., Ahmed, J., Isty, M.N., Islam, M., Hasan, M., Ferdaus, M.H. and Ali, M.S., 2024. Smartphone Image Dataset to Distinguish Healthy and Unhealthy Leaves in Papaya Orchards in Bangladesh. Data in Brief, p.110599.
• Niloy, N.T., Ahmed, M.R., Ananna, S.S., Kater, S., Shorna, I.J., Sneha, S.I., Ferdaus, M.H., Islam, M.M., Rashid, M.R.A., Jabid, T. and Ali, M.S., 2024. CottonFabricImageBD: An image dataset characterized by the percentage of cotton in a fabric for computer vision-based garment recycling. Data in Brief, p.110712.
• Salehin, Y., Siddique, A., Nafisa, A.T., Jahan, I., Priyanka, M.M., Islam, R.U., Hasan, M., Rahman, A. and Rashid, M.R.A., 2024, May. A Comparative Analysis on Transfer Learning Models to Classify Banana Diseases-Fusarium Wilt and Black Sigatoka. In 2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT) (pp. 208-213). IEEE.
• Kamal Rasel, M., Hasan, M., Rifat Ahmmad Rashid, M., Hasanul Ferdaus, M., Ariful Islam, M., Manzurul Islam, M., Sawkat Ali, M. and Islam, M., 2024. DecentraLend: A Blockchain-based Monetization for Decentralized Lending System. International Journal of Computing and Digital Systems, 15(1), pp.1679-1690.
• Hasan, M., Gani, R., Rashid, M.R.A., Tarin, T.K., Kamara, R., Mou, M.Y. and Rabbi, S.F., 2024. Comprehensive Smart Smartphone Image Dataset for Plant Leaf Disease Detection and Freshness Assessment from Bangladesh Vegetable Fields. Data in Brief, p.110775.
• M.R.A. Rashid, Md S. Hossain, M.D. Fahim, Md S. Islam, R.H. Prito, Md S.A. Sheikh, Md S. Ali, M. Hasan, and M. Islam, “Comprehensive dataset of annotated rice panicle image from Bangladesh”. Data in Brief, 51, (2023), p.109772. https://doi.org/10.1016/j.dib.2023.109772. 
• M.R.A. Rashid, K.F. Hasan, Md. R. Hasan, A. Das, M. Sultana, M. Hasan, “A Comprehensive Dataset for Sentiment and Emotion Classification from Bangladesh E-Commerce Reviews”. Data in Brief, 2023, ISSN 2667-3053. 
• M. Mahajebin, M.R.A. Rashid, and N. Mansoor, “Mood Classification of Bangla Songs Based on Lyrics”. In International Conference on Information, Communication and Computing Technology, pp. 585-597. Springer Nature Singapore, 2023.
• Md Huzaifa, F.B. Fabin, N.T. Natasha, I. Fakir, S.A. Falguni, M. Hasan, and M.R.A. Rashid, “DeepTestDroid: A Platform for Automated Application Testing Using Deep Learning”. In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.
• N. Vasker, A.R.A. Sowrov, M. Hasan, Md S. Ali, M.R.A. Rashid, and M.M. Islam, “Unmasking Ovary Tumors: Real-Time Detection with YOLOv5”. In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.
• K.F. Arpa, T. Mittra, T. Ferdous, N. Jahan, R.A.K. Tayna, M. Hasan, M.R.A. Rashid, and Md S. Ali, “A Machine Learning and Deep Learning Integrated Model to Detect Criminal Activities”. In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.
• R.A. Rizvee, T.H. Orpa, A. Ahnaf, Md A. Kabir, M.R.A. Rashid, M.M. Islam, M. Islam, T. Jabid, and Md S. Ali, “LeafNet: A proficient convolutional neural network for detecting seven prominent mango leaf diseases”. Journal of Agriculture and Food Research, 14, (2023), p.100787. https://doi.org/10.1016/j.jafr.2023.100787
•  A. Haque, M. Hasan, S.A. Suma, N. Vasker, Md M. Ashhab, Md S. Ali, M.R.A. Rashid, and M.S.H. Khan, “Detecting Pneumonia from X-Ray Images of Chest using Deep Convolutional Neural Network”. In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.
• S. Nath, M.M. Islam, A. Chowdhury, M.R.A. Rashid, M. Islam, T. Jabid, and R. Naha, “Comprehensive Analysis of Feature Extraction Techniques and Runtime Performance Evaluation for Phishing Detection”. In 2023 6th International Conference on Applied Computational Intelligence in Information Systems (ACIIS), pp. 1-6. IEEE, 2023.
• N.A. Bosunia, M. Hasan, J. Prity, J.J. Jabin, M.R.A. Rashid, R.A. Tuhin, “An Application of Decentralized Product Authentication System for Supply Chain Management Using Blockchain Technology”. In 26th International Conference on Computer and Information Technology (ICCIT), IEEE, 2023.
• Tasnim, Syeda Tasfia, Md Ariful Islam, Rawnak Jahan Taifa, Sraboni Mahbub, and Mohammad Rifat Ahmmad Rashid. "Agri-food Traceability Using Blockchain Technology to Ensure Value Chain Management and Fair Pricing in Bangladesh." In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT), pp. 1-6. IEEE, 2022.
• Paul, Bijan, Aditi Roy, Khan Raqib Mahmud, and Mohammad Rifat Rashid. "Real-Time Data Analysis of COVID-19 Vaccination Progress Over the World." Data Science for Effective Healthcare Systems (2022): 79-88.
• Shihavuddin, A. S. M., Mohammad Rifat Ahmmad Rashid, Md Hasan Maruf, Muhammad Abul Hasan, Mohammad Asif ul Haq, Ratil H. Ashique, and Ahmed Al Mansur. "Image based surface damage detection of renewable energy installations using a unified deep learning approach." Energy Reports 7 (2021): 4566-4576.
• Kabir, Moumita, Fatima Noor Popy, Bijan Paul, Mohammad Rifat Ahmmad Rashid, and Khan Raqib Mahmud. "Obstacle Avoiding and Fire Extinguishing Robot for Everyday Fire Security." In ICT Systems and Sustainability: Proceedings of ICT4SD 2020, Volume 1, pp. 483-491. Springer Singapore, 2021.
• Sinthia, Fatema Zaman, Afsana Nasir, Bijan Paul, Mohammad Rifat Ahmmad Rashid, and Md Nasim Adnan. "Implementation of OSPFv3 in IPv4 and IPv6 for Establishing a Wide Area Network." In ICT Systems and Sustainability: Proceedings of ICT4SD 2020, Volume 1, pp. 473-481. Springer Singapore, 2021.
• Saha, Shanta, Md Omar Sharif Rajme, Bijan Paul, Mohammad Rifat Ahmmad Rashid, and Khan Raqib Mahmud. "Life Saver Robotic Car for Accidental or Disaster Place Emergency Situation." In ICT Analysis and Applications: Proceedings of ICT4SD 2020, Volume 2, pp. 389-398. Springer Singapore, 2021.
• Rashid, Mohammad Rifat Ahmmad, Davide Conzon, Xu Tao, and Enrico Ferrera. "Privacy Awareness, Risk Assessment, and Control Measures in IoT Platforms: BRAIN-IoT Approach." SECURITY RISK MANAGEMENT (2020): 69.
• Mohammad Rifat Ahmmad Rashid, Davide Conzon, Xu Tao, Enrico Ferrera. "Privacy Awareness for IoT Platforms: BRAIN-IoT Approach" Security and privacy in the internet of things: Challenges and solutions 27 (2020): 24. DOI:10.3233/AISE200003
• Shihavuddin, A., and Mohammad Rifat Ahmmad Rashid. "DhakaAI." Version V1 (2020).
• Conzon, Davide, Mohammad Rifat Ahmmad Rashid, Xu Tao, Angel Soriano, Richard Nicholson, and Enrico Ferrera. "BRAIN-IoT: Model-based framework for dependable sensing and actuation in intelligent decentralized IoT systems." In 2019 4th International Conference on Computing, Communications and Security (ICCCS), pp. 1-8. IEEE, 2019.
•  Rashid, Mohammad, Marco Torchiano, Giuseppe Rizzo, Nandana Mihindukulasooriya, and Oscar Corcho. "A quality assessment approach for evolving knowledge bases." Semantic Web 10, no. 2 (2019): 349-383. 
• Rashid, Mohammad Rifat Ahmmad, Giuseppe Rizzo, Marco Torchiano, Nandana Mihindukulasooriya, Oscar Corcho, and Raúl García-Castro. "Completeness and consistency analysis for evolving knowledge bases." Journal of Web Semantics 54 (2019): 48-71.
• Mohammad Rifat Ahmmad Rashid, "Automated Knowledgebase Quality Assessment and Validation Based on Evolution Analysis", Politecnico di Torino, DOI: 10.6092/POLITO/PORTO/2713858
• Mihindukulasooriya, Nandana, Mohammad Rifat Ahmmad Rashid, Giuseppe Rizzo, Raúl García-Castro, Oscar Corcho, and Marco Torchiano. "RDF shape induction using knowledge base profiling." In Proceedings of the 33rd Annual ACM Symposium on Applied Computing, pp. 1952-1959. 2018.
• Rashid, Mohammad, Giuseppe Rizzo, Marco Torchiano, Nandana Mihindukulasooriya, and Oscar Corcho. "Knowledge Base Evolution Analysis: A Case Study in the Tourism Domain." In Current Trends in Web Engineering: ICWE 2018 International Workshops, MATWEP, EnWot, KD-WEB, WEOD, TourismKG, Cáceres, Spain, June 5, 2018, Revised Selected Papers 18, pp. 268-278. Springer International Publishing, 2018.
• Rashid, Mohammad, Giuseppe Rizzo, Nandana Sampath Mihindukulasooriya, Marco Torchiano, and Oscar Corcho. "KBQ: a tool for Knowledge Base Quality assessment using evolution analysis." (2017): 58-63.
• Rashid, Mohammad Rifat Ahmmad, Giuseppe Rizzo, Nandana Mihindukulasooriya, Marco Torchiano and Óscar Corcho. “KBQ - A Tool for Knowledge Base Quality Assessment Using Evolution Analysis.” K-CAP Workshops (2017).
• Rashid, Mohammad, and Marco Torchiano. "A systematic literature review of open data quality in practice." In 2nd OPEN DATA RESEARCH SYMPOSIUM (ODRS), vol. 2. 2016.
• Rashid, Mohammad, Luca Ardito, and Marco Torchiano. "Energy consumption analysis of algorithms implementations." In 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), pp. 1-4. IEEE, 2015.
• Rashid, Mohammad, Luca Ardito, and Marco Torchiano. "Energy consumption analysis of image encoding and decoding algorithms." In 2015 IEEE/ACM 4th International Workshop on Green and Sustainable Software, pp. 15-21. IEEE, 2015.

• M. A. Rahman, M. M. Rahman, M. A. Alim, “In-band Full-duplex MAC Protocol for Ad Hoc Networks,” International Conference on Electronics, Communications and Information Technology 2021 (ICECIT 2021), IEEE, 2021. Published https://ieeexplore.ieee.org/document/9641316, 10.1109/ICECIT54077.2021.9641316.

• M. A. Rahman, S. M. Shoaib, M. A. Amin, R. N. Toma, M. A. Moni and M. A. Awal, "A Bayesian Optimization Framework for the Prediction of Diabetes Mellitus," 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, Bangladesh, 2019. Published: https://ieeexplore.ieee.org/abstract/document/8975480, 10.1109/ICAEE48663.2019.8975480.

• M. A. Rahman, M. A. Hossain, M. R. Kabir, M. H. Sani, Abdullah-Al-Mamun and M. A. Awal, "Optimization of Sleep Stage Classification using Single-Channel EEG Signals," 2019 4th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 2019. Published: https://ieeexplore.ieee.org/abstract/document/906882510, 1109/EICT48899.2019.9068825.

• Abdullah-Al-Mamun, M. A. Awal, M. K. Hasan, M. A. Rahman and M. A. Alahe, "Optimization of Daily Physical Activity Recognition with Feature Selection," 2019 4th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 2019. Published: https://ieeexplore.ieee.org/abstract/document/9068773, 10.1109/EICT48899.2019.9068773.

• M. A. Rahman, M. M. Rahman, M. A. Alim, “Design and Performance Analysis of an In-band Full-duplex MAC Protocol for Ad-hoc networks”. https://www.mdpi.com/2673-4001/4/1/7

1. M. M. Hasan, Z. Rahman, R. Shaikh, I. Alam, M. A. Islam and M. S. Alam, "Design and Analysis of Elliptical Microstrip Patch Antenna at 3.5 GHz for 5G Applications," 2020 IEEE Region 10 Symposium (TENSYMP), 2020, pp. 981-984, doi: 10.1109/TENSYMP50017.2020.9230897.
2. Faiaz Rahman, Rafee Tanna, Umme Habiba, Rizwan Shaikh, Zahidur Rahman and Hafiz Imtiaz, “Cyber Threat Detection Using Machine Learning Algorithms on Heterogeneous MiniVHS-22 Dataset”, International Conference on Computer and Information Technology (ICCIT),17-19 December 2022, Bangladesh.
3. K M Tanvir Ahmed, Zahidur Rahman, Rizwan Shaikh, Sk Imran Hossain, "Malaria Parasite Detection Using CNN-Based Ensemble Technique on Blood Smear Images", International Conference on Electrical, Computer and Communication Engineering (ECCE),23-24 February 2023,Bangladesh.
4. Kabir, Sayem, Akash Chandra Biswas, Rizwan Shaikh, and Anup Kumar Paul. "A comprehensive study on different variants of TCP protocol in wireless network." In 2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN), pp. 748-753. IEEE, 2024.

1.  Mohammad Arifuzzaman, Rizwan Shaikh, Iftekhar Bhuiyan, SM Raiyan Chowdhury, and Tauhidul Islam Atoul. "Innovation in public health surveillance for social distancing during the COVID-19 pandemic: A deep learning and object detection based novel approach." Plos one 19, no. 9 (2024): e0308460. 

International

1.   Islam, M.I., Shanta, M.A., Mondal, M., Hoque,  N., Majumder, S. , Ahmed, T. and  Rana, M.S., 2018.  “Protective effect of Chloroform extract of Stereospermum chelonoides bark against Amyloid Beta42 induced cell death in SH-SY5Y cells and against inflammation in Swiss albino mice”. Journal of basic and Clinical Physiology and  Pharmacolgy. J Basic Clin Physiol Pharmacol. doi.org/10.1515/jbcpp-2017-0123

2.     Hoque, N., Rahman, S., Jahan, I., Shanta, M.A., Tithi, N.S. and Nasrin, N., 2018. A Comparative Phytochemical and Biological Study between Different Solvent Extracts of Bombax ceiba Roots Available in Bangladesh. Pharmacology & Pharmacy, 9(02), p.53.

3.      Nasrin, N., Asaduzzaman, M., Tithi, N.S., Rigun, S.H., Shahjin, F. and Shanta, M.A., 2016. A Comparative Study on Potential Risk Factors for Childhood Obesity among Rural and Urban Population of Bangladesh. International journal of Pharmacy and Pharmaceutical Research, 5 (03), p.41.

4.      Shanta, M.A., Ahmed, T., Uddin, M.N., Majumder, S., Hossain, M.S. and Rana, M.S., 2013. Phytochemical Screening and in vitro Determination of antioxidant potential of methanolic extract of Streospermum chelonoides. Journal of Applied Pharmaceutical Science, 3(3), p.117.

1.      Hoque, N. and Shanta, M.A., 2017. Phytochemical and Pharmacolgical studies on different extracts of Bombax ceiba roots. International conference of Bangladesh Chemical Society, Chittagong, Bangladesh. p. 90.

1.  Sharmin, A. A., Zulkafli, H. S., & Ali, N. M. (2025). Threshold Selection for the Bayesian Logistic Latent Variable Model of Hypoglycemia Symptom Reporting Consistency. Journal of Quality Measurement and Analysis, 21(2), 1–14. 
2. Sharmin, A. A., Zulkafli, H. S., Ali, N. M., Mamun, M. A. A., & Shafrin, R. (2024). Symptomatology of hypoglycemia in diabetes: A bibliometric analysis (2000-2022) of bayesian approaches. Multidisciplinary Reviews, 8(3), 2025081. 
3. Islam, M. T., Sharmin, A. A., Laing, R., McConnell, M., & Ali, M. A. (2024). Bead-Free Electrospun Nanofibrous Scaffold Made of PVOH/Keratin/Chitosan Using a Box–Behnken Experimental Design and In Vitro Studies. Polysaccharides, 5(2), 112-128.
4. Al Sharmin A., Zulkafli H.S. & Ali N.M. (2023). Establishing cut-off points for consistency in reporting hypoglycemia symptoms among diabetes patients. JP Journal of Biostatistics 24(1): 31-46.
5. Ho, Y. S., Sharmin, A. A., Islam, M. T., & Halim, A. F. (2022). Future direction of wound dressing research: Evidence From the bibliometric analysis. Journal of Industrial Textiles, 52, 15280837221130518.
6. Mohammad Tajul Islam, Mohammad Sahariar Farhan, Farzana Faiza, A. F. M. Halim, and Afsana Al Sharmin. 2022, "Pigment Coloration Research Published in the Science Citation Index Expanded from 1990 to 2020: A Systematic Review and Bibliometric Analysis." Colorants, 1(1): 38-57.
7. Afsana-Al-Sharmin and M Ataharul Islam, 2018. “Generalized Weibull linear models for type-I censoring data”, Advances and applications in statistics, 53 (2):87-102.
8. Munima Haque, M Faizul Kabir, Md Quamruzzaman and Afsana Al-Sharmin. 2018, “Survey on Overall Health Conditions of University Students in Dhaka”, International journal of scientific engineering and science, 2 (4):8-13.
9. Afsana-Al-Sharmin and M Ataharul Islam, 2017, “Generalized Weibull linear models with different link functions”,  Advances and applications in statistics, 50 (5):367-384.
10. Afsana-Al-Sharmin and Munima Haque, 2016, “Susceptible factors of type-2 diabetes in a population of Bangladesh”, Universal Journal of Public Health, 4 (1):38-45.
11.  Farzana Jahan, Afsana-Al-Sharmin, Nazneen Sultana and Shamima Hossain. 2015.“A review of congestion controlling techniques in TCP/IP network.” The 2nd International Conference on Theory and Applications of Statistics, Dhaka, 2015.
12. Farhana Alam Ripa, Mahmud Tareq Ibn Morshed, Afsana-Al-Sharmin, Shahed Bulbul Papon, Md. Rafiqul Islam and Zara Sheikh, 2014, “Central Nervous System Depressant, Analgesic and Antidiarrheal Effects of the Seed Extracts of Dimocarpus longan Lour in Rats”, Tropical Journal of Pharmaceutical Research, 13 (2): 235-242.
13. Farhana Alam Ripa,  Mahmuda Haque, Israt Jahan Bulbul, Afsana-Al-Sharmin, Yesmin Begum and Afroza Habib, 2012, “Screening of central nervous system (CNS) depressant and antinociceptive activities of methanolic extracts of the peel and seed of Nephelium longan fruits”, Tropical Journal of Pharmaceutical Research, 6 (11): 848-854.
14. Afsana-Al-Sharmin, 2012, “Statistical Principles on Education Sector with Special Reference to Bangladesh”, Southeast University journal of science and engineering, 6 (6): 828-854.
15. Afsana Al-Sharmin, “A Composite Index to Assess the Regional Development: A Districts-Level analysis”, VDM Verlag Dr. Mueller Akt.ges.&Co.KG, http://www.barnesandnoble.com/w/a-composite-index-to-assess-the-regional-development-afsana-al-sharmin/1105684904?ean=9783639360301, 2011

1. Choyon, A. K. M.*; Chowdhury, S. M. R.*; Majumder, S.P.; ‘Performance of a CPDM-QPSK Coherent Homodyne Optical Transmission System due to Cross Polarization Effects’, published in IEEE Xplore Digital Library which was presented in International Conference on Computer, Communication, Chemical, Materials, and Electronic Engineering (IC4ME2), on February 8- 9, 2018 at University of Rajshahi, Rajshahi, Bangladesh. (DOI: 10.1109/IC4ME2.2018.8465664)
2. Choyon, A. K. M.*; Chowdhury, S. M. R.*; Chowdhury R.*; ‘Performance Analysis of a CPDM-QPSK Direct Detection Optical Transmission System under the effects of Cross-Polarization’, published in IEEE Xplore Digital Library which was presented in the ‘International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)’ on May 3-5, 2019 at East West University, Dhaka, Bangladesh. (DOI: 10.1109/ICASERT.2019.8934494)
3. Choyon, A. K. M.*; Chowdhury, S. M. R.*; Chowdhury R.*; 'Performance Analysis of a CPDM 8-QAM Direct Detection Fibre Optic System under the effects of Cross-Polarization', published in IEEE Xplore Digital Library which was presented in 'IEEE International Conference on Signal Processing, Information, Communication, and Systems (IEEE SPICSCON)', on November 30, 2019 at Bangladesh University of Engineering & Technology (BUET), Dhaka, Bangladesh. (DOI: https://doi.org/10.1109/SPICSCON48833.2019.9065096).
4. M.A. Haque*, S.S. Chowdhury*, A. Maksud, J. Hossain*, K. Barua*, R. Rokon*, M.S. Najeeb*, N.I. Hasan*, S. Hossain*, S. Zaman, S.M.R. Chowdhury*, "Traffic Sign Detection under Challenging Conditions Using Faster RCNN", published in the International Conference on Image Processing (ICIP-2017)at Beijing, China.

*Authors contributed equally to the publication.

1. Kumar, M.A.*; Padovani, Andrea*; Larcher, Luca*; Chowdhury, S. M. R.*; Baten, M. Z.*; "Pulse Optimization and Device Engineering of 3D Charge Trap Flash for Synaptic Operation"; published on September 15, 2022 in "Journal of Applied Physics (JAP)" under the American Institute of Physics (AIP) publishing. 
2. Choyon, A. K. M.*; Chowdhury, S. M. R.*; Chowdhury, R.*; Taher, K.A.; "Cross-Polarization Induced Crosstalk Impact Analysis on the BER Performance of 100-Gbps CPDM 8-QAM CO-FOC System over Unrepeatered 100-km SSMF Link" published in Results in Optics (Elsevier), 2020, 100012, ISSN 2666-9501.
3. Choyon, A. K. M.*; Chowdhury, S. M. R.*; Chowdhury, R.*; "Optimum link distance and BER performance investigation for BPSK RF sub-carrier coherent FSO communication system under strong turbulence" published in International Journal of Science and Technology Research (IJSTR), 2020, volume 9, page 282-7. 

*Authors contributed equally to the publication.

Al Mamun and M H M Imrul Kabir, "The Remittance, Foreign Direct Investment, Export, and Economic Growth in Bangladesh: A Time Series Analysis," Arab Economic and Business Journal: Vol. 15: Iss. 1, Article 4, December 2022   https://doi.org/10.38039/2214-4625.1022

Masum Billah, Sifat E Sultana and M H M Imrul Kabir, "Exploring Challenges of Maternal Healthcare Utilization in Bangladesh: A Cross-sectional Survey in Saturia, Manikganj District", Indian Journal of Public Health Research & Development, Volume:11, Issue:04, Pages: 185-190, April 2020

Md. Serajul Islam, Md. Sanaul Haque Mondal and M H M Imrul Kabir, "Coping with Natural Disasters: A Cross-Sectional Study with People with Disabilities in The Coastal Zone of Bangladesh", Journal of the Geographical Institute “Jovan Cvijić” SASA, Volume: 68, Issue: 01, Pages: 67-83, March 2018  https://doi.org/10.2298/IJGI1801067I

Ahbab Mohammad Fazle Rabbi and M H M Imrul Kabir, “Factors Influencing Age at First Birth of Bangladeshi Women- A Multivariate Approach”, American Journal of Public Health Research, Volume:01, Issue:07, Pages: 191-195, August 2013  https://doi.org/10.12691/ajphr-1-7-8

R H M Alaol Kabir, Md. Atikur Rahman, Mohammad Ahsanul haque, Mohammad Osiur Rahman and M H M Imrul Kabir,“A Simple Approach to Recognize a Person Using Hand Geometry”, ULAB Journal of Science and Engineering, ISSN:2079-4398,Vol: 01, Issue: 1, Pages:19-25, November 2010

Muhammad Iftakhar Alam and M H M Imrul Kabir, “An Application of Non-Parametric, Semi-Parametric, and Parametric Survival Methods on Infant Mortality Data of Bangladesh”, Dhaka University Journal of Science, Volume:58, Issue:02, Pages: 215-217, June 2010  http://journal.library.du.ac.bd/index.php?journal=dujs&page=article&op=view&path%5B%5D=414

Kabir, I., (2016, November). A Review of Mixed-Effects Models Analyzing Continuous Longitudinal Data. International Conference on Analysis of Repeated Measures Data; East West University, Dhaka, Bangladesh.

Kabir, I., (2016, November). A Generalized Approach to Analyze Survival Times for Parametric and Semi-Parametric Models. International Conference on Analysis of Repeated Measures Data; East West University, Dhaka, Bangladesh.