Complete list can be found here: Tahsina Alam (researchgate.net) and Tahsina Alam - Google Scholar
Journal Articles
Hossain, A., Alam, T., Barua, S. & Rahman, M.R. (2021). Estimation of shear strength parameter of Silty Sand from SPT-N60 using machine learning models. Geomechanics and Geoengineering. https://doi.org/10.1080/17486025.2021.1975048
Chowdhury, M. E., Islam, M. S., Alam, T., Barua, S., Shahriar, M. S., & Anisa, H. (2020). Infiltration in vegetated soil: Empirical modeling and sensitivity analysis. Modeling Earth Systems and Environment. https://dx.doi.org/10.1007/s40808-020-00867-x
Chowdhury, M. E., Islam, M. S., Islam, M. A., Shahriar, M. S., & Alam, T. (2018). “Development and Calibration of a Portable Artificial Rainfall Simulator for Reproducible Experiments on Soil Erosion”. Global Science and Technology Journal, 6(2), 47–63. https://www.researchgate.net/publication/326646807_Development_and_Calibration_of_a_Portable_Artificial_Rainfall_Simulator_for_Reproducible_Experiments_on_Soil_Erosion
Conference Papers
Ghosh, E., Fahim, S., Shahariar, M. N. K., & Alam, T. (2023, April). “Prospect of biopolymer application for sustainable and durable earthen structures in context of Bangladesh: A brief review”. In AIP Conference Proceedings (Vol. 2713, No. 1). AIP Publishing.
Tabassum, F., Imtiaz, F., Alam, J. & Alam, T. (2022). "Risk Assessment Of Sinkhole Occurrence In Bangladesh By Analyzing Trigger Factors Of South Asian Sinkhole Collapse Incidents With Suggestions For Possible Preventive Measures" Proceedings of the 6th International Conference on Civil Engineering for Sustainable Development (ICCESD 2022), 10-12 February 2022, KUET, Khulna, Bangladesh (ISBN-978-984-35-1972-6).
Barua, S., Alam, T., & Mahmud, M. (2021).” Estimating Particulate Matter using Statistical Modeling Methods: case study - Chattogram, Bangladesh.” Proceedings of 5th International Conference on Advances in Civil Engineering 2020, Chattogram.
Rashid, I., Alam, T., Ahmed, T., & Ali, M.A. (2021). “Evaluation of the effectiveness of zinc as scale inhibitor in delaying precipitation of CaCO3 in water treatment and distribution systems.” Proceedings of 5th International Conference on Advances in Civil Engineering 2020, Chattogram.
Alam, T., Barua, S., Anisa, H., & Islam, M. S. (2019) “Evaluation of Infiltration Rate from Soil Properties Using Artificial Neural Network.” Proceedings of International Conference on Disaster Risk Management 2019, Dhaka. Pp 144-147.
Chowdhury, M.E., Islam, M.A., Islam, M.S., Shahriar, & M.S., Alam, T. (2017) “Design, Operation and Performance Evaluation of a Portable Perforated Steel Tray Rainfall Simulator.” Proceedings of 14th Global Engineering and Technology Conference, Dhaka.
Conference Presentations:
Alam, T.,Horowitz, H., Zhao, L. & Verma, V. (2023). “Machine Learning Models to Predict Oxidative Potential of Ambient PM2.5: A Midwestern US Case Study.” American Association for Aerosol Research 41st Annual Conference (AAAR 2023), Portland, Oregon, USA. October 2-6,2023.
Alam, T., Tabassum, N., Shahriyar, A., Dipto, S.B., Yousuf, I.B., Islam, N., & Rahman, S.M. (2021). “Heavy Metal Pollution in Surface Water of Bangladesh: A Critical Review”. Book of Abstracts. International Conference on Water and Flood Management 2021, Dhaka.
Conference Posters:
Alam, T., Avila, T., Lafferty, D. & Sriver, R. (2025). “Application of Python-based Water Balance Model (pyWBM) for Soil Moisture Prediction and Drought Risk Assessment.” I-GUIDE Forum 2025, Chicago, Illinois, USA.
Alam, T., Horowitz, H., Zhao, L. & Verma, V. (2023). “Application of Machine Learning in Developing Models to Estimate the Oxidative Potential of Particulate Matter from its Chemical Composition across the Midwestern US.” Crossroads of Chemistry, American Chemical Society Spring Meeting 2023, Indianapolis, Indiana, USA.
Alam, T. (2022). "Application of Machine Learning in Air Quality Modeling for Bangladesh Considering the Effect of COVID-19 Restrictions." Midwest Student Conference on Atmospheric Research, University of Illinois Urbana Champaign 2022, Illinois, USA. 01-02 October 2022.
Current
2024
Application of Machine Learning in Uncertainty Quantification of Regional Climate Model Ensembles
Advisors: Prof Ryan Sriver, Professor, CLIMAS, UIUC
PAST
2022
Application of Machine Learning in Developing Models to Predict Oxidative Potential of Particulate Matter from its Chemical Composition
Advisor: Prof Vishal Verma, Associate Professor, CEE, UIUC
Lab experiments with Sample preparation and analysis using Total Organic Carbon (TOC) analyzer and Semi Automated Multi Endpoint Reactive Oxygen Species Analyzer (SAMERA)
Machine Learning Model Development using Python
Risk Assessment of Sinkhole Occurrence in Bangladesh
Mentees: Fariha Tabassum, Fahim Imtiaz and Jahangir Alam
Conference paper published at ICCESD 2022
Traffic Volume and Effect on Air Quality During COVID-19
Supervisor: Dr Asif Raihan, Assistant Professor, Accident Research Institute, BUET
Trend analysis for air quality due to change in traffic volume during COVID-19
Accimap Development for Landslide Hazard Analysis in Bangladesh
Supervisor: Mr. Omar Faruque Hamim, Assistant Professor, Dept of Civil Engg, BUET
Landslide data collection and analysis using MS Visio and MS Excel.
Review of Heavy Metal Pollution in Bangladesh
Supervisor: Dr Sheikh Mokhlesur Rahman, Asst Professor, Dept of Civil Engg, BUET
Abstract published at ICWFM 2021
2021
Estimating Shear Strength of Soil Using Machine Learning Techniques
Supervisor: Ahmed Hossain, Lecturer, Dept of Civil Engg, Presidency University
Developed Gaussian Process and Support Vector Machine models (MATLAB).
2020
Thesis: Evaluation of Zinc and Phosphate as Scale Inhibitor in Delaying CaCO3 Precipitation
Supervisor: Dr Muhammad Ashraf Ali, Professor, Dept of Civil Engg, BUET
Batch Experiments
Conference paper published at ICACE 2020
Prediction of Particulate Matter in Air using Machine Learning Models
Random Forest, Gaussian Process & SVM modeling (MATLAB)
Conference paper published at ICACE 2020
Infiltration in Vegetated Soil
Supervisor: Dr Mohammad Shariful Islam, Professor, Dept of Civil Engg, BUET
Developed infiltration models using MATLAB cftool.
Journal article published at Modeling Earth Systems and Environment: Springer
2018
Developing Soil Infiltration Rate Models using Artificial Neural Network (ANN)
Supervisor: Dr Mohammad Shariful Islam, Professor, Dept of Civil Engg, BUET
Developed ANN models for soil infiltration using MATLAB
Conference paper published at ICDRM 2019
2016-17
Development of Portable Rainfall Simulator
Supervisor: Dr Mohammad Shariful Islam, Professor, Dept of Civil Engg, BUET
Calibrated a portable rainfall simulator in Geotechnical Engineering Laboratory
Journal article published at Global Science and Technology Journal
Conference paper published at GETC 2017