Md. Ayub Ali, Dulal Chandra Roy and Papia Sultana; “Some Aspects of Sampling for a Finite Population in Big Data Analysis”, at IJSS in Vol. 22 (1), March 2022, ISBN: 978-984-34-6444-6 (http://www.ru.ac.bd/stat/ijss/) Organized by Department of Statistics, Rajshahi University, Rajshahi-6205, Bangladesh

Md. Ayub Ali, Samiul Islam, Md. Maeen Molla, Dulal Chandra Roy and Papia Sultana. "Analyzing Level of Psychological Stress among Young Adults in Bangladesh Due to COVID-19 Pandemic." Barishal University Journal of Science and Engineering, Vol. 8: 65-82 (December 2023)

Md. Ayub Ali, Faija Farjana, Dulal Chandra Roy and Papia Sultana. "Big Data Analysis Using Re-sampling Technique in a Finite Population Inference." Barishal University Journal of Science and Engineering, Vol. 8: 47-64 (December 2023)

Sultana, Sunjina, Md Maeen Molla, Pampa Das, Samiul Islam, Md Rashedul Islam, and Md Ayub Ali. "Analyzing the overall consequences of COVID-19 on Barishal University Students." Barishal University Journal of Science and Engineering, Vol. 9: 185-194 (June 2024)

Md Ayub Ali, Md Maeen Molla, Samiul Islam, Faija Farjana, and Dulal Chandra Roy. "Machine Learning Algorithms for Identifying Psychological Implications among Jobseekers in Bangladesh Due to COVID-19 Pandemic." Barishal University Journal of Science and Engineering, Vol. 9: 167-183 (June 2024)

Molla, Md Maeen, Md Sifat Hossain, Md Ayub Ali, Md Raqibul Islam, Mst Papia Sultana, and Dulal Chandra Roy. "Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective." PloS one 20, no. 3 (2025): e0314466.

Islam, S., Mynuddin, M., Sultana, S., Mondal, S. K., Hossain, M. A., Paul, G. K., ... & Ali, M. A. (2025). A Performance Comparison of Machine Learning Models for Robotic Navigation Using Imbalanced and SMOTE-Enhanced Data. GJMS, 2(1), 10-37.

Managed Aquifer Recharge (MAR) has been applied as Aquifer Storage, Transfer, and Recovery (ASTR) to provide fresh drinking water for local communities at 99 locations in southwest Bangladesh since 2009. Aerobic freshwater from ponds is filtered and subsequently infiltrated into anaerobic shallow brackish aquifers. At approximately 45% of these sites, relatively higher levels of Fe and As were observed in recovered water, which requires a better understanding of the hydrogeochemical processes that govern the Fe, Mn, and As levels in these MAR systems. Therefore, two representative sites with As above (74 ± 11 μg/L at site GMF11) and below (19 ± 6 μg/L at site JJS91), the Bangladesh drinking water standard of 50 μg/L were weekly monitored on hydrochemical changes from Dec 2017 to Dec 2018. Hydrogeochemical processes occurring during storage were quantified with inverse and forward geochemical mass balance models developed with PHREEQC. The following processes explained the changes in water quality: 1) mixing of infiltration water with native groundwater (∼90%:∼10%); 2) consumption of O2 by a) dissolved Fe2+ that subsequently precipitated as Fe(OH)3 at GMF11 and by b) dissolved and sedimentary organic matter (OM) at site JJS91; 3) reduction of SO4 coupled to the oxidation of OM at both sites; and 4) mixing corrosion and freshening induced cation-exchange (Ca sorption; Na desorption) triggering calcite and siderite dissolution at GMF11. Dissolution of these carbonate mineralsoccurred to a lesser extent at JJS91, while cation exchange (Na sorption; Ca desorption) suggested that the freshwater was displaced by brackish groundwater because of inadequate infiltration at JJS91. Distinct pH values in recovered water reflected the dominance of Fe2+ versus OM oxidation. Siderite dissolution led to 4.3 ± 3.1 and 1.0 ± 0.5 mg/L Fe in recovered water at GMF11 and JJS91, respectively. Elevated As and Mn levels in recovered water were caused for max. 20% by mixing with native groundwater and for min. 80% by mobilization processes, mainly by desorption of As from Fe-oxides and by the dissolution of Mn-bearing siderite. Recommendations are provided to improve recovered water quality.