[25] Elsherif, S. M., Wang, S., Taha, A. F., Sela, L., Giacomoni, M. H., Abokifa, A. A. (2022). “Control-Theoretic Modeling of Multi-Species Water Quality Dynamics in Drinking Water Networks: Survey, Methods, and Test Cases” acceptedAnnual Reviews in Control.

[24] Rifaai, T. M., Abokifa, A. A., & Sela, L. (2022). “Integrated approach for pipe failure prediction and condition scoring in water infrastructure systems.” Reliability Engineering & System Safety, 220, 108271. https://doi.org/10.1016/j.ress.2021.108271

[23] Wang, S., Taha, A. F., Chakrabarty, A., Sela, L., & Abokifa, A. A. (2022). “Model order reduction for water quality dynamics.” Water Resources Research, 58(4), e2021WR029856. https://doi.org/10.1029/2021WR029856

[22] Abokifa, A. A., Maheshwari, A., Gudi, R. D., & Biswas, P. (2021). Closure to “Influence of Dead-End Sections of Drinking Water Distribution Networks on Optimization of Booster Chlorination Systems”. Journal of Water Resources Planning and Management, 147(11), 07021016. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001451

[21] Abokifa, A. A., Haddad, K., Raman, B., Fortner, J., & Biswas, P. (2021). Room temperature gas sensing mechanism of SnO2 towards chloroform: Comparing first principles calculations with sensing experiments. Applied Surface Science, 554, 149603. https://doi.org/10.1016/j.apsusc.2021.149603

[20] E. Z. Berglund, …, A. A. Abokifa, et al. “Water and Wastewater Systems and Utilities: Challenges and Opportunities during the COVID-19 Pandemic”. Journal of Water Resources Planning and Management, 147 (5), 02521001. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001373

[19] S. Wang, A. F. Taha, and A. A. Abokifa. “How Effective is Model Predictive Control in Real-Time Water Quality Regulation? State-Space Modeling and Scalable Control.” Water Resources Research, 57 (5), e2020WR027771. https://doi.org/10.1029/2020WR027771

[18] A. F. Taha, S. Wang, Y. Guo, T. H. Summers, N. Gatsis, M. H. Giacomoni, and A. A. Abokifa. “Revisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics”. Journal of Water Resources Planning and Management, 147 (7), 04021040. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001374

[17] A. Maheshwari, A. A. Abokifa, R. D. Gudi, and P. Biswas (2020). “Optimization of Disinfectant Dosage for Simultaneous Control of Lead and Disinfection-byproducts in Water Distribution Networks”. Journal of Environmental Management, 276, 111186. https://doi.org/10.1016/j.jenvman.2020.111186

[16] A. A. Abokifa, L. Xing, L. Sela (2020). “Investigating the Impacts of Water Conservation on Water Quality in Distribution Networks Using an Advection-Dispersion Transport Model”. Water, 12 (4), 1033. https://doi.org/10.3390/w12041033

[15] A. A. Abokifa, P. Biswas, B. Hodges, L. Sela (2020). “WUDESIM: A Toolkit for Simulating Water Quality in the Dead-End Branches of Drinking Water Distribution Networks”. Urban Water Journal, 17 (1), 54-64. https://doi.org/10.1080/1573062X.2020.1734949

[14] A. Maheshwari, A. A. Abokifa, R. D. Gudi, and P. Biswas (2020). “Framework for Evaluating the Impact of Water Chemistry Changes in Full-Scale Drinking Water Distribution Networks on Lead Concentrations at the Tap”. Journal of Environmental Engineering, 146 (7),  04020051. https://doi.org/10.1061/(ASCE)EE.1943-7870.0001738

[13] A. A. Abokifa, L. Katz, L. Sela (2020). “Spatiotemporal Trends of Recovery from Lead Contamination in Flint, MI as Revealed by Crowdsourced Water Sampling”. Water Research, 171, 115442. https://doi.org/10.1016/j.watres.2019.115442

[12] A. A. Abokifa, L. Sela (2019). “Identification of Spatial Patterns in Water Distribution Pipe Failure Data Using Spatial Autocorrelation Analysis”. Journal of Water Resources Planning and Management, 145 (12), 04019057. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001135

[11] A. A. Abokifa, A. Maheshwari, R. D. Gudi, and P. Biswas (2019). “Influence of the Dead-End Sections of Drinking Water Distribution Networks on the Optimization of Booster Chlorination Systems”. Journal of Water Resources Planning and Management, 145 (12), 04019053. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001125

[10] A. A. Abokifa, K. Haddad, C. Lo, and P. Biswas (2019). “Real-Time Identification of Cyber-Physical Attacks on Water Distribution Systems via Machine Learning Based Anomaly Detection Techniques”. Journal of Water Resources Planning and Management, 145 (1), 04018089. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001023

[9] A. Maheshwari, A. A. Abokifa, R. D. Gudi, P. Biswas (2018). “Co-ordinated, Decentralization based Optimization of Disinfectant Dosing in Large-Scale Water Distribution Networks”. Journal of Water Resources Planning and Management, 144 (10), 04018066. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000979

[8] R. Taormina, … , A. A. Abokifa, et al. (2018). Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks”. Journal of Water Resources Planning and Management, 144 (8), 04018048. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000969

[7] A. A. Abokifa, K. Haddad, J. Fortner, C. S. Lo, and P. Biswas (2018). “Sensing Mechanism of Ethanol and Acetone at Room Temperature by SnO2 Nano-columns Synthesized by Aerosol Routes: Theoretical Calculations Compared to Experimental Results”. Journal of Materials Chemistry A, 6, 2053-2066. https://doi.org/10.1039/C7TA09535J

[6] K. Haddad, A. Abokifa et al.  (2018). “SnO2 Nanostructured Thin Films for Room Temperature Gas Sensing of Volatile Organic Compounds”. ACS Applied Materials & Interfaces, 10 (35), 29972-29981. https://pubs.acs.org/doi/abs/10.1021/acsami.8b08397

[5] J. Li, … , A. Abokifa, et al. (2017). Spatiotemporal Distribution of Indoor Particulate Matter Concentration with a Low-cost Sensor Network”. Building and Environment, 127, 138-147. https://doi.org/10.1016/j.buildenv.2017.11.001

[4] A. A. Abokifa and P. Biswas (2017). “Modeling Soluble and Particulate Lead Release into Drinking Water from Full and Partially Replaced Lead Service Lines”. Environmental Science & Technology, 51 (6), 3318-3326. https://pubs.acs.org/doi/abs/10.1021/acs.est.6b04994

[3] A. A. Abokifa, Y. J. Yang, C. S. Lo, P. Biswas (2016). Investigating the Role of Biofilms in Trihalomethane Formation in Water Distribution Systems with a Multicomponent Model”. Water Research, 104, 208-219. https://doi.org/10.1016/j.watres.2016.08.006

[2] K. Haddad, A. Abokifa, et al. (2016) Growth of Single Crystal Oriented SnO2 Nanocolumn Arrays by Aerosol Chemical Vapour Deposition”. CrystEngComm, 18 (39), 7544-7553. https://doi.org/10.1039/C6CE01443G

[1] A. A. Abokifa, Y. J. Yang, C. S. Lo, P. Biswas (2016). Water Quality Modeling in the Dead-End Sections of Drinking Water Distribution Networks”. Water Research, 89, 107-117. https://doi.org/10.1016/j.watres.2015.11.025

[2020]

6. A. Maheshwari, A. A. Abokifa et al. “Control of Lead Contamination in Water Distribution Networks: A Dynamic Optimization Framework.” IFAC-ACDOS Advances in Control & Optimization of Dynamical Systems 2020 (Accepted)

[2019]

5. A. A. Abokifa, L. Sela. “Spatial Autocorrelation Analysis for the Identification of Pipe Failure Hotspots in Drinking Water Distribution Networks.” EWRI World Environmental and Water Resources Congress 2019, 446-454

4. A. A. Abokifa, L. Sela. “Spatiotemporal Scan Statistics for the Identification of Density-Based Clusters of Pipe Failure Events in Drinking Water Distribution Systems.” ASCE International Conference on Computing in Civil Engineering 2019, 306-313

[2018]

3. A. A. Abokifa and P. Biswas. “Optimal Placement and Operation of Booster Chlorination Stations using an Advection-Dispersion Transport Model for Chlorine Decay in the Dead-End pipes.” EWRI World Environmental and Water Resources Congress 2018, 380-389

[2017]

2. A. Maheshwari, A. A. Abokifa et al. “Two-Point Constraint Control of Water Quality in Distribution Networks.” 15th International Computing & Control for the Water Industry Conference 2017 (CCWI2017: F98)

1. A. A. Abokifa, K. Haddad, C. S. Lo, P. Biswas. “Detection of Cyber-Physical Attacks on Water Distribution Systems via Principal Component Analysis and Artificial Neural Networks.” ASCE-EWRI World Environmental and Water Resources Congress 2017, 676-691