Peer-Reviewed Articles
Google Scholar Profile
25. Pakdehi M*, Ardestani M, Niksokhan MH, Barkdoll BD, Ahmadisharaf E (2023) Using Analytical Hierarchy Process for excess chlorine risk assessments in a water distribution network: A case study. Journal of Environmental Engineering 149(12). https://doi.org/10.1061/JOEEDU.EEENG-7375. doi.org/10.1061/JOEEDU.EEENG-7375
24. Adedeji IC*, Ahmadisharaf E, Sun Y. Predicting in-stream water quality constituents at the watershed scale using machine learning. Journal of Contaminant Hydrology. https://doi.org/10.1016/j.jconhyd.2022.104078
23. Rajesh M, Indranil P, Rehana S, Ahmadisharaf E, Singh SK (2022) Short-range reservoir inflow forecasting using hydrological and large-scale atmospheric circulation information. Journal of Hydrology 612(B):128153. https://doi.org/10.1016/j.jhydrol.2022.128153
22. Ahmadisharaf E, Alamdari N, Tajrishy M, Ghanbari S (2021) Effectiveness of retention ponds for sustainable urban flood mitigation across a range of storm depths in northern Tehran, Iran. Sustainable Water in the Built Environment 7(2): 05021003. https://doi.org/10.1061/JSWBAY.0000946
21. Sridharan V, Quinn NWT, Kumar S, McCutcheon SC, Ahmadisharaf E, Fang X, Zhang H, Borah Parker A (2021) Selecting reliable models for total maximum daily load development: A holistic protocol. Journal of Hydrologic Engineering 26(10): 04021031. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002102
20. Moghadamnia A, Asadi A, Bakhtiari Enayat B, Alilou H, Ahmadisharaf E, Kanda EK, Kipkorir EC (2021) An integrated approach for prioritization of river water quality sampling points using Modified Sanders, Analytic Network Process and hydrodynamic modeling. Environmental Monitoring and Assessment 193(482). https://doi.org/10.1007/s10661-021-09272-y
19. Darabi H, Rahmati O, Naghibi SA, Mohammadi F, Ahmadisharaf E, Kalantari Z, Haghighi AT, Soleimanpour SM, Tiefenbacher JP, Bui DT (2021) Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood. Geocarto International. https://doi.org/10.1080/10106049.2021.1920629
18. Rajaei F, Behrooz RD, Ahmadisharaf E, Galalizadeh S, Dudic B, Spalevic V, Novicevic R (2021) Application of integrated watershed management measures to minimize the impacts on nitrate pollution. Water 13(15): 2039. https://doi.org/10.3390/w13152039
17. Ahmadisharaf E, Lacher IL, Fergus C, Benham BL, Akre T, Kline KS (2020) Projecting land use change impacts on nutrients, sediment and runoff in multiple spatial scales: Business-as-usual vs. stakeholder-informed scenarios. Journal of Cleaner Production 257, 120466. https://doi.org/10.1016/j.jclepro.2020.120466
16. Ahmadisharaf E, Benham BL (2020) Risk-based decision making for TMDLs. Science of the Total Environment 702:135022. https://doi.org/10.1016/j.scitotenv.2019.135022
15. Janizadeh S, Avand M, Jaafari A, Phong TV, Bayat M, Ahmadisharaf E, Prakash I, Pham BT, Lee S (2019) Prediction success of several machine learning methods for flash flood modeling. Sustainability 11:5426. http://dx.doi.org/10.3390/su11195426
14. Ahmadisharaf E, Camacho RA, Zhang HX, Hantush MM, Mohamoud YM (2019) Calibration and validation of watershed models and advances in uncertainty analysis in TMDL studies. Journal of Hydrologic Engineering 24(7):03119001. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001794
13. Ahmadisharaf E, Kalyanapu AJ (2018) A coupled probabilistic hydrologic-hydraulic modelling framework to investigate the uncertainty of flood loss estimates. Journal of Flood Risk Management e12536. https://doi.org/10.1111/jfr3.12536
12. Lacher I, Ahmadisharaf E, Fergus C, Akre T, McShea WJ, Benham BL, Kline KS (2018) Scale-dependent impacts of urban and agricultural land use on nutrients, sediment, and pollution. Science of the Total Environment 652:611-622. https://doi.org/10.1016/j.scitotenv.2018.09.370
11. Ahmadisharaf E, Kalyanapu AJ, Bates PD (2018) A probabilistic framework for floodplain mapping using hydrological modeling and unsteady hydraulic modeling. Hydrological Sciences Journal 63 (12): 1759-1775. https://doi.org/10.1080/02626667.2018.1525615
10. Ahmadisharaf E, Kalyanapu AJ, Lillywhite JR, Tonn GL (2018) A probabilistic framework to evaluate the uncertainty of design hydrograph: Case study of Swannanoa River Watershed. Hydrological Sciences Journal 63(12): 1776-1790. https://doi.org/10.1080/02626667.2018.1525616
9. Borah DK, Ahmadisharaf E, Padmanabhan G, Imen S, Mohamoud YM (2019) Watershed models for development and implementation of total maximum daily load. Journal of Hydrologic Engineering 24(1):03118001. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001724
8. Mishra A, Ahmadisharaf E, Benham BL, Gallagher DL, Reckhow KH, Smith EP (2019) Two-phase Monte Carlo simulation for partitioning the effects of epistemic and aleatory uncertainty in TMDL modeling. Journal of Hydrologic Engineering 24(1):04018058. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001731
7. Mishra A, Ahmadisharaf E, Benham BL, Wolfe ML, Leman SC, Gallagher DL, Reckhow KH, Smith EP (2018) Generalized likelihood uncertainty estimation and Markov chain Monte Carlo simulation to prioritize TMDL pollutant allocations. Journal of Hydrologic Engineering 23(12): 05018025. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001720
6. Ahmadisharaf E, Kalyanapu AJ, Chung ES (2017) Sustainability-based flood hazard mapping of the Swannanoa River watershed. Sustainability 9(10): 1735. http://dx.doi.org/10.3390/su9101735
5. Ahmadisharaf E, Kalyanapu AJ, Thames BA, Lillywhite JR (2016) A probabilistic framework for comparison of dam breach parameters and outflow hydrograph generated by different empirical prediction methods. Environmental Modelling & Software 86: 248-263. http://dx.doi.org/10.1016/j.envsoft.2016.09.022
4. Ahmadisharaf E, Kalyanapu AJ, Chung ES (2016) Spatial probabilistic multi-criteria decision making for assessment of flood management alternatives. Journal of Hydrology 533: 365-378. http://dx.doi.org/10.1016/j.jhydrol.2015.12.031
3. Ahmadisharaf E, Tajrishy M, Alamdari N (2016) Integrating flood hazard into site selection of detention basins using spatial multi-criteria decision making. Journal of Environmental Planning and Management 59(8): 1397-1417. https://doi.org/10.1080/09640568.2015.1077104
2. Ahmadisharaf E, Kalyanapu AJ, Chung ES (2015) Evaluating the effects of inundation duration and velocity on selection of flood management alternatives. Water Resources Management 29(8): 2543-2561. http://dx.doi.org/10.1007/s11269-015-0956-4
1. Ahmadisharaf E, Tajrishy M (2015) Siting detention basins using SWMM and spatial multi-criteria decision making. Journal of Water and Wastewater 25 (6): 57-66. http://www.wwjournal.ir/article_6516.html
25. Pakdehi M*, Ardestani M, Niksokhan MH, Barkdoll BD, Ahmadisharaf E (2023) Using Analytical Hierarchy Process for excess chlorine risk assessments in a water distribution network: A case study. Journal of Environmental Engineering 149(12). https://doi.org/10.1061/JOEEDU.EEENG-7375. doi.org/10.1061/JOEEDU.EEENG-7375
24. Adedeji IC*, Ahmadisharaf E, Sun Y. Predicting in-stream water quality constituents at the watershed scale using machine learning. Journal of Contaminant Hydrology. https://doi.org/10.1016/j.jconhyd.2022.104078
23. Rajesh M, Indranil P, Rehana S, Ahmadisharaf E, Singh SK (2022) Short-range reservoir inflow forecasting using hydrological and large-scale atmospheric circulation information. Journal of Hydrology 612(B):128153. https://doi.org/10.1016/j.jhydrol.2022.128153
22. Ahmadisharaf E, Alamdari N, Tajrishy M, Ghanbari S (2021) Effectiveness of retention ponds for sustainable urban flood mitigation across a range of storm depths in northern Tehran, Iran. Sustainable Water in the Built Environment 7(2): 05021003. https://doi.org/10.1061/JSWBAY.0000946
21. Sridharan V, Quinn NWT, Kumar S, McCutcheon SC, Ahmadisharaf E, Fang X, Zhang H, Borah Parker A (2021) Selecting reliable models for total maximum daily load development: A holistic protocol. Journal of Hydrologic Engineering 26(10): 04021031. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002102
20. Moghadamnia A, Asadi A, Bakhtiari Enayat B, Alilou H, Ahmadisharaf E, Kanda EK, Kipkorir EC (2021) An integrated approach for prioritization of river water quality sampling points using Modified Sanders, Analytic Network Process and hydrodynamic modeling. Environmental Monitoring and Assessment 193(482). https://doi.org/10.1007/s10661-021-09272-y
19. Darabi H, Rahmati O, Naghibi SA, Mohammadi F, Ahmadisharaf E, Kalantari Z, Haghighi AT, Soleimanpour SM, Tiefenbacher JP, Bui DT (2021) Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood. Geocarto International. https://doi.org/10.1080/10106049.2021.1920629
18. Rajaei F, Behrooz RD, Ahmadisharaf E, Galalizadeh S, Dudic B, Spalevic V, Novicevic R (2021) Application of integrated watershed management measures to minimize the impacts on nitrate pollution. Water 13(15): 2039. https://doi.org/10.3390/w13152039
17. Ahmadisharaf E, Lacher IL, Fergus C, Benham BL, Akre T, Kline KS (2020) Projecting land use change impacts on nutrients, sediment and runoff in multiple spatial scales: Business-as-usual vs. stakeholder-informed scenarios. Journal of Cleaner Production 257, 120466. https://doi.org/10.1016/j.jclepro.2020.120466
16. Ahmadisharaf E, Benham BL (2020) Risk-based decision making for TMDLs. Science of the Total Environment 702:135022. https://doi.org/10.1016/j.scitotenv.2019.135022
15. Janizadeh S, Avand M, Jaafari A, Phong TV, Bayat M, Ahmadisharaf E, Prakash I, Pham BT, Lee S (2019) Prediction success of several machine learning methods for flash flood modeling. Sustainability 11:5426. http://dx.doi.org/10.3390/su11195426
14. Ahmadisharaf E, Camacho RA, Zhang HX, Hantush MM, Mohamoud YM (2019) Calibration and validation of watershed models and advances in uncertainty analysis in TMDL studies. Journal of Hydrologic Engineering 24(7):03119001. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001794
13. Ahmadisharaf E, Kalyanapu AJ (2018) A coupled probabilistic hydrologic-hydraulic modelling framework to investigate the uncertainty of flood loss estimates. Journal of Flood Risk Management e12536. https://doi.org/10.1111/jfr3.12536
12. Lacher I, Ahmadisharaf E, Fergus C, Akre T, McShea WJ, Benham BL, Kline KS (2018) Scale-dependent impacts of urban and agricultural land use on nutrients, sediment, and pollution. Science of the Total Environment 652:611-622. https://doi.org/10.1016/j.scitotenv.2018.09.370
11. Ahmadisharaf E, Kalyanapu AJ, Bates PD (2018) A probabilistic framework for floodplain mapping using hydrological modeling and unsteady hydraulic modeling. Hydrological Sciences Journal 63 (12): 1759-1775. https://doi.org/10.1080/02626667.2018.1525615
10. Ahmadisharaf E, Kalyanapu AJ, Lillywhite JR, Tonn GL (2018) A probabilistic framework to evaluate the uncertainty of design hydrograph: Case study of Swannanoa River Watershed. Hydrological Sciences Journal 63(12): 1776-1790. https://doi.org/10.1080/02626667.2018.1525616
9. Borah DK, Ahmadisharaf E, Padmanabhan G, Imen S, Mohamoud YM (2019) Watershed models for development and implementation of total maximum daily load. Journal of Hydrologic Engineering 24(1):03118001. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001724
8. Mishra A, Ahmadisharaf E, Benham BL, Gallagher DL, Reckhow KH, Smith EP (2019) Two-phase Monte Carlo simulation for partitioning the effects of epistemic and aleatory uncertainty in TMDL modeling. Journal of Hydrologic Engineering 24(1):04018058. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001731
7. Mishra A, Ahmadisharaf E, Benham BL, Wolfe ML, Leman SC, Gallagher DL, Reckhow KH, Smith EP (2018) Generalized likelihood uncertainty estimation and Markov chain Monte Carlo simulation to prioritize TMDL pollutant allocations. Journal of Hydrologic Engineering 23(12): 05018025. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001720
6. Ahmadisharaf E, Kalyanapu AJ, Chung ES (2017) Sustainability-based flood hazard mapping of the Swannanoa River watershed. Sustainability 9(10): 1735. http://dx.doi.org/10.3390/su9101735
5. Ahmadisharaf E, Kalyanapu AJ, Thames BA, Lillywhite JR (2016) A probabilistic framework for comparison of dam breach parameters and outflow hydrograph generated by different empirical prediction methods. Environmental Modelling & Software 86: 248-263. http://dx.doi.org/10.1016/j.envsoft.2016.09.022
4. Ahmadisharaf E, Kalyanapu AJ, Chung ES (2016) Spatial probabilistic multi-criteria decision making for assessment of flood management alternatives. Journal of Hydrology 533: 365-378. http://dx.doi.org/10.1016/j.jhydrol.2015.12.031
3. Ahmadisharaf E, Tajrishy M, Alamdari N (2016) Integrating flood hazard into site selection of detention basins using spatial multi-criteria decision making. Journal of Environmental Planning and Management 59(8): 1397-1417. https://doi.org/10.1080/09640568.2015.1077104
2. Ahmadisharaf E, Kalyanapu AJ, Chung ES (2015) Evaluating the effects of inundation duration and velocity on selection of flood management alternatives. Water Resources Management 29(8): 2543-2561. http://dx.doi.org/10.1007/s11269-015-0956-4
1. Ahmadisharaf E, Tajrishy M (2015) Siting detention basins using SWMM and spatial multi-criteria decision making. Journal of Water and Wastewater 25 (6): 57-66. http://www.wwjournal.ir/article_6516.html
Presentations
Keynote Speaker
2021 Watershed Management Conference. Opening Plenary Panel Session. TMDL analysis and modeling: State-of-the-Art and state-of-the practice. Virtual.
2021 FSU Fellows Forum. ‘Enhancing community resilience to floods through advanced computational models’. Virtual.
Invited Speaker
6. Impacts of hurricane events on mold growth and asthma risk in residential buildings: Findings from recent hurricanes. Florida Environmental Health Association, 2023 75th Anniversary AEM. Crystal River, FL. Oct 2023.
5. Hurricanes, mold growth and respiratory health issues. Florida Department of Health’s Annual Asthma Coalition Summit. Ft. Myers, FL. Jun 2023.
4. The importance of risk-based decision making for total maximum daily loads in a changing climate. Stormwater. Webinar on Climate Change Impacts on Wastewater/Stormwater Management. Florida Water & Climate Alliance. Sep 2021.
Flood hazard prediction via data-driven models. Data Mining. Department of Computer and Information Sciences, Florida A&M University. Mar 2021.
3. The impact of watershed model parameterization on the reliability of bacterial pollution mitigation strategies. Biocomplexity Engineering Group, Department of Agricultural & Biological Engineering, University of Florida. Jan 2021.
2. From models to decisions: Uncertainties in flood management. Department of Environmental Engineering, Texas A&M University—Kingsville. May 2020.
1. Sustainability-based management of coupled human-water systems under deep uncertainty. Department of Civil and Mechanical Engineering, University of Missouri-Kansas City. Feb 2020.
Oral Presentations (* denotes presenters)
23. Cho E*, Ahmadisharaf E (2024) Probabilistic hydrodynamic modeling of compounding rain-storm surge flood events for vulnerability assessments of critical infrastructures in coastal cities. NHERI Computational Symposium, Los Angeles, CA.
22. Cho E*, Ahmadisharaf E (2023) Multivariate frequency analysis framework for hurricane events and its application on Hurricane Ian. 36th US-Korea Conference, Dallas, TX.
21. Azimi P, Keshavarz Z, Caballero C*, Pakdehi M, Yan, Z, Allen JG, Ahmadisharaf E (2023) Understanding the interrelationship among human behaviors, building and flood characteristics, mold growth, and respiratory health after Hurricanes Ian and Ida. International Society of Exposure Science, Chicago, IL.
20. Pakdehi M*, Ahmadisharaf E (2023) Hindcasting maximum flood depths during Hurricane Ida using spatially distributed machine learning algorithms. ASCE-EWRI World Environmental & Water Resources Congress, Henderson, NV.
19. Adedeji IC*, Ahmadisharaf E (2023) Scalability of machine learning-based modeling frameworks for watershed-scale water quality predictions. ASCE-EWRI World Environmental & Water Resources Congress, Henderson, NV.
18. Ahmadisharaf E, Leitman SF, Brunner MI (2023) Evaluating the response of the Apalachicola-Chattahoochee-Flint (ACF) Basin to alternative stationary hydrologic scenarios. ASCE-EWRI World Environmental & Water Resources Congress, Henderson, NV.
17. Borah DK, Zhang HX, Zellner M, Babbar-Sebens M, Leelan R, Quinn NWT, Kumar S, Lott C, Ahmadisharaf E (2023) Total Maximum Daily Load implementation modeling, planning, and design resources for stakeholders. ASCE-EWRI World Environmental & Water Resources Congress, Henderson, NV.
16. Ahmadisharaf E (2023) The intersection of hurricanes and human respiratory health: Tips from Hurricane Ida. Research Coordination Network workshop. Virtual. Feb 2023.
15. Azimi P*, Keshavarz Z, Caballero C*, Yan Z, Allen JG, Ahmadisharaf E (2023) Impacts of building and flood characteristics on mold growth and respiratory illnesses after Hurricane Ida. International Society of Exposure Science, Lisbon, Portugal.
14. Azimi P, Keshavarz Z, Caballero C*, Pakdehi M*, Yan Z*, Allen JG, Ahmadisharaf E (2023) Understanding the interrelationship among human behaviors, building and flood characteristics, mold growth, and respiratory health after Hurricanes Ian and Ida. International Society of Exposure Science, Chicago, IL.
13. Adedeji CI, Ahmadisharaf E*, Clark C (2022) A Machine Learning-based framework to generate in-stream bacteria pollution. ASCE-EWRI World Environmental & Water Resources Congress, Atlanta, GA.
12. Hoque SS*, Ahmadisharaf E, Mayou L, Her Y, Tang Y (2022) Stream pollution under a changing climate: The case of Martin Lake Watershed in Northwest Florida. ASCE-EWRI World Environmental & Water Resources Congress, Atlanta, GA.
11. Adedeji CI*, Ahmadisharaf E, Sun Y (2022) Machine Learning algorithms to generate in-stream bacteria pollution at the watershed scale. HydroML Conference, College Station, PA.
10. Leitman SF*, Ahmadisharaf E, Brunner MI (2021) How much will climate variability effect flow and reservoir elevations in ACF watershed? ANERR Virtual Research Symposium.
9. Ahmadisharaf E*, Benham BL (2019) Using the Enhanced Expert System for HSPF (HSPEXP+) to implement Generalized Likelihood Uncertainty Estimation (GLUE) for TMDL uncertainty analysis. ASCE-EWRI World Environmental & Water Resources Congress, Pittsburgh, PA.
8. Ahmadisharaf E*, Lacher I, Fergus C, Benham BL, Kline KS, McShea W, Akre T (2018) Impact of land use change on water quantity and quality in the Shenandoah National Park. ASCE-EWRI World Environmental & Water Resources Congress, Minneapolis, MN.
7. Ahmadisharaf E*, Kalyanapu AJ (2017) GIS-based uncertainty analysis of a coupled hydrologic-hydraulic modeling framework. ASCE-EWRI World Environmental & Water Resources Congress, Sacramento, CA.
6. Ahmadisharaf E, Jato-Espino D, Kalyanapu AJ*, Charlesworth S, Lillywhite J (2016) Development of a stochastic hydrologic model to analyze the uncertainty of the design hydrograph under climate change. ASCE-EWRI World Environmental & Water Resources Congress, West Palm Beach, FL.
5. Ketabchy M*, Tajrishy M, Ahmadisharaf E (2016) Development of Permeable Pavement Design Model (PPDM) for Runoff Reduction and Pollutant Removal Efficiency Prediction. ASCE-EWRI World Environmental & Water Resources Congress, West Palm Beach, FL.
4. Ahmadisharaf E*, Kalyanapu AJ (2015) A risk and reliability analysis approach to investigate the impact of reservoir inflow change on dam overtopping. 24th Tennessee Water Resources Symposium 2B4-7, Burns, TN.
3. Ahmadisharaf E*, Kalyanapu AJ (2015) Investigation of the impact of streamflow temporal variation on dam overtopping risk: Case study of a high-hazard dam. ASCE-EWRI World Environmental & Water Resources Congress, Austin, TX.
2. Ahmadisharaf E*, Ketabchy M, Alamdari N, Tajrishy M (2014) Investigation of the effectiveness of landscape improvement on downstream flow hydrograph at different return periods. 50th AWRA Annual Water Resources Conference, Tyson’s Corner, VA.
1. Ahmadisharaf E*, Bhuiyan M, Kalyanapu AJ (2013) Impact of spatial resolution on downstream flood hazard due to dam break events using probabilistic flood modeling. 5th ASDSO Dam Safety Conference, Providence, RI.
2021 Watershed Management Conference. Opening Plenary Panel Session. TMDL analysis and modeling: State-of-the-Art and state-of-the practice. Virtual.
2021 FSU Fellows Forum. ‘Enhancing community resilience to floods through advanced computational models’. Virtual.
Invited Speaker
6. Impacts of hurricane events on mold growth and asthma risk in residential buildings: Findings from recent hurricanes. Florida Environmental Health Association, 2023 75th Anniversary AEM. Crystal River, FL. Oct 2023.
5. Hurricanes, mold growth and respiratory health issues. Florida Department of Health’s Annual Asthma Coalition Summit. Ft. Myers, FL. Jun 2023.
4. The importance of risk-based decision making for total maximum daily loads in a changing climate. Stormwater. Webinar on Climate Change Impacts on Wastewater/Stormwater Management. Florida Water & Climate Alliance. Sep 2021.
Flood hazard prediction via data-driven models. Data Mining. Department of Computer and Information Sciences, Florida A&M University. Mar 2021.
3. The impact of watershed model parameterization on the reliability of bacterial pollution mitigation strategies. Biocomplexity Engineering Group, Department of Agricultural & Biological Engineering, University of Florida. Jan 2021.
2. From models to decisions: Uncertainties in flood management. Department of Environmental Engineering, Texas A&M University—Kingsville. May 2020.
1. Sustainability-based management of coupled human-water systems under deep uncertainty. Department of Civil and Mechanical Engineering, University of Missouri-Kansas City. Feb 2020.
Oral Presentations (* denotes presenters)
23. Cho E*, Ahmadisharaf E (2024) Probabilistic hydrodynamic modeling of compounding rain-storm surge flood events for vulnerability assessments of critical infrastructures in coastal cities. NHERI Computational Symposium, Los Angeles, CA.
22. Cho E*, Ahmadisharaf E (2023) Multivariate frequency analysis framework for hurricane events and its application on Hurricane Ian. 36th US-Korea Conference, Dallas, TX.
21. Azimi P, Keshavarz Z, Caballero C*, Pakdehi M, Yan, Z, Allen JG, Ahmadisharaf E (2023) Understanding the interrelationship among human behaviors, building and flood characteristics, mold growth, and respiratory health after Hurricanes Ian and Ida. International Society of Exposure Science, Chicago, IL.
20. Pakdehi M*, Ahmadisharaf E (2023) Hindcasting maximum flood depths during Hurricane Ida using spatially distributed machine learning algorithms. ASCE-EWRI World Environmental & Water Resources Congress, Henderson, NV.
19. Adedeji IC*, Ahmadisharaf E (2023) Scalability of machine learning-based modeling frameworks for watershed-scale water quality predictions. ASCE-EWRI World Environmental & Water Resources Congress, Henderson, NV.
18. Ahmadisharaf E, Leitman SF, Brunner MI (2023) Evaluating the response of the Apalachicola-Chattahoochee-Flint (ACF) Basin to alternative stationary hydrologic scenarios. ASCE-EWRI World Environmental & Water Resources Congress, Henderson, NV.
17. Borah DK, Zhang HX, Zellner M, Babbar-Sebens M, Leelan R, Quinn NWT, Kumar S, Lott C, Ahmadisharaf E (2023) Total Maximum Daily Load implementation modeling, planning, and design resources for stakeholders. ASCE-EWRI World Environmental & Water Resources Congress, Henderson, NV.
16. Ahmadisharaf E (2023) The intersection of hurricanes and human respiratory health: Tips from Hurricane Ida. Research Coordination Network workshop. Virtual. Feb 2023.
15. Azimi P*, Keshavarz Z, Caballero C*, Yan Z, Allen JG, Ahmadisharaf E (2023) Impacts of building and flood characteristics on mold growth and respiratory illnesses after Hurricane Ida. International Society of Exposure Science, Lisbon, Portugal.
14. Azimi P, Keshavarz Z, Caballero C*, Pakdehi M*, Yan Z*, Allen JG, Ahmadisharaf E (2023) Understanding the interrelationship among human behaviors, building and flood characteristics, mold growth, and respiratory health after Hurricanes Ian and Ida. International Society of Exposure Science, Chicago, IL.
13. Adedeji CI, Ahmadisharaf E*, Clark C (2022) A Machine Learning-based framework to generate in-stream bacteria pollution. ASCE-EWRI World Environmental & Water Resources Congress, Atlanta, GA.
12. Hoque SS*, Ahmadisharaf E, Mayou L, Her Y, Tang Y (2022) Stream pollution under a changing climate: The case of Martin Lake Watershed in Northwest Florida. ASCE-EWRI World Environmental & Water Resources Congress, Atlanta, GA.
11. Adedeji CI*, Ahmadisharaf E, Sun Y (2022) Machine Learning algorithms to generate in-stream bacteria pollution at the watershed scale. HydroML Conference, College Station, PA.
10. Leitman SF*, Ahmadisharaf E, Brunner MI (2021) How much will climate variability effect flow and reservoir elevations in ACF watershed? ANERR Virtual Research Symposium.
9. Ahmadisharaf E*, Benham BL (2019) Using the Enhanced Expert System for HSPF (HSPEXP+) to implement Generalized Likelihood Uncertainty Estimation (GLUE) for TMDL uncertainty analysis. ASCE-EWRI World Environmental & Water Resources Congress, Pittsburgh, PA.
8. Ahmadisharaf E*, Lacher I, Fergus C, Benham BL, Kline KS, McShea W, Akre T (2018) Impact of land use change on water quantity and quality in the Shenandoah National Park. ASCE-EWRI World Environmental & Water Resources Congress, Minneapolis, MN.
7. Ahmadisharaf E*, Kalyanapu AJ (2017) GIS-based uncertainty analysis of a coupled hydrologic-hydraulic modeling framework. ASCE-EWRI World Environmental & Water Resources Congress, Sacramento, CA.
6. Ahmadisharaf E, Jato-Espino D, Kalyanapu AJ*, Charlesworth S, Lillywhite J (2016) Development of a stochastic hydrologic model to analyze the uncertainty of the design hydrograph under climate change. ASCE-EWRI World Environmental & Water Resources Congress, West Palm Beach, FL.
5. Ketabchy M*, Tajrishy M, Ahmadisharaf E (2016) Development of Permeable Pavement Design Model (PPDM) for Runoff Reduction and Pollutant Removal Efficiency Prediction. ASCE-EWRI World Environmental & Water Resources Congress, West Palm Beach, FL.
4. Ahmadisharaf E*, Kalyanapu AJ (2015) A risk and reliability analysis approach to investigate the impact of reservoir inflow change on dam overtopping. 24th Tennessee Water Resources Symposium 2B4-7, Burns, TN.
3. Ahmadisharaf E*, Kalyanapu AJ (2015) Investigation of the impact of streamflow temporal variation on dam overtopping risk: Case study of a high-hazard dam. ASCE-EWRI World Environmental & Water Resources Congress, Austin, TX.
2. Ahmadisharaf E*, Ketabchy M, Alamdari N, Tajrishy M (2014) Investigation of the effectiveness of landscape improvement on downstream flow hydrograph at different return periods. 50th AWRA Annual Water Resources Conference, Tyson’s Corner, VA.
1. Ahmadisharaf E*, Bhuiyan M, Kalyanapu AJ (2013) Impact of spatial resolution on downstream flood hazard due to dam break events using probabilistic flood modeling. 5th ASDSO Dam Safety Conference, Providence, RI.