| Comparative study on total nitrogen prediction in wastewater treatment plant and effect of various feature selection methods on machine learning algorithms performance F Bagherzadeh, MJ Mehrani, M Basirifard, J Roostaei Journal of Water Process Engineering 41 (102033), 2021 | 139 | 2021 |
| Mixotrophic Microalgae Biofilm: A Novel Algae Cultivation Strategy for Improved Productivity and Cost-efficiency of Biofuel Feedstock Production J Roostaei, Y Zhang, K Gopalakrishnan, A Ochocki Scientific Reports Nature, 2018 | 129 | 2018 |
| Spatially Explicit Life Cycle Assessment: Opportunities and challenges of wastewater-based algal biofuels in the United States. J Roostaei, Y Zhang Algal Research 24 (Part B), 395-402, 2017 | 100 | 2017 |
| Lead distribution in urban soil in a medium-sized city: household-scale analysis E Obeng-Gyasi, J Roostaei, JMD Gibson Environmental science & technology 55 (6), 3696-3705, 2021 | 42 | 2021 |
| Predicting the risk of GenX contamination in private well water using a machine-learned Bayesian network model J Roostaei, S Colley, R Mulhern, AA May, JMD Gibson Journal of Hazardous Materials, 125075, 2021 | 39 | 2021 |
| Real-Time Sensor Response Characteristics of 3 Commercial Metal Oxide Sensors for Detection of BTEX and Chlorinated Aliphatic Hydrocarbon Organic Vapors G Yurko, J Roostaei, T Ditrich, L Xu, M Ewing, Y Zhang, G Shreve Chemosensors 7 (Chemical Sensors for Air Quality Monitor), 2019 | 32 | 2019 |
| The case for camelina-derived aviation biofuel: Sustainability underpinnings from a holistic assessment approach EP Resurreccion, J Roostaei, MJ Martin, RL Maglinao, Y Zhang, S Kumar Industrial Crops & Products, 2021 | 20 | 2021 |
| Mixed Culture of Chlorella sp. and Wastewater Wild Algae for Enhanced Biomass and Lipid Accumulation in Artificial Wastewater Medium K Gopalakrishnan, J Roostaei, Y Zhang Frontiers of Environmental Science and Engineering (FESE), 2018 | 15 | 2018 |
| A new approach to a legacy concern: evaluating machine-learned Bayesian networks to predict childhood lead exposure risk from community water systems R Mulhern, J Roostaei, S Schwetschenau, T Pruthi, C Campbell, ... Environmental Research 204, 112146, 2022 | 11 | 2022 |
| Spatially explicit life cycle assessment: opportunities and challenges of wastewater-based algal biofuels in the United States. Algal Res 24: 395–402 J Roostaei, Y Zhang | 10 | 2017 |
| IoT-based Edge and Cloud Computing for Smart Environmental Engineering Applications J Roostaei Wayne State University, 2018 | 8 | 2018 |
| IoT-based Edge Computing (IoTEC) for Improved Environmental Monitoring J Roostaei, YZ Wager, W Shi, T Dittrich, C Miller, K Gopalakrishnan Sustainable Computing: Informatics and Systems, 2023 | 4 | 2023 |
| Smart Wastewater Treatment: Internet of Things (IoT) and Edge Computing Applications in Environmental Engineering YZ Javad Roostaei, Weisong Shi Michigan Environmental Health Association’s 2018 Annual Education Conference, 2018 | 3* | 2018 |
| Internet of Things-based Edge Computing (IoTEC) Sensor Network and Integrated Air Purifier for Rapid Response Vapor Intrusion Identification and Potential Mitigation S Mobasser, J Roostaei, Y Zhang, W Shi, T Dittrich, C Miller NIEHS SUPERFUND RESEARCH PROGRAM Annual Meeting, 2019 | 2 | 2019 |
| Development and performance of a machine learning‐based tool that predicts influent flow to a WRF 72 h in advance and integrates with existing wet weather nutrient management … K Bilyk, J Roostaei, E Bailey Water Environment Research 95 (6), e10880, 2023 | 1 | 2023 |
| Integrated Strategies for Sustainable Wastewater-based Algal biofuel Production and Environmental Mitigation in US J Roostaei Wayne State University, Detroit, 2018 | 1 | 2018 |
| Data Organization Matters J Benjamin, F Shoushtarian, P Fiske, H Torkzadeh, F Shaheen, M Dirks, ... AWWA, 2024 | | 2024 |
| Vehicle parking data collection system and method D Brooks, Z Holbert, A Jordan, Z Lyu, J Roostaei US Patent 11,790,773, 2023 | | 2023 |
| Are You Ready for Big Data? Z Weintraut, K Newhart, K Thompson, J Roostaei AWWA 114 (10), 78-82, 2022 | | 2022 |
| Unsupervised learning methods for efficient geographic clustering and identification of disease disparities with applications to county-level colorectal cancer incidence in … ME McMahon, L Doroshenko, J Roostaei, H Cho, MA Haider Health Care Management Science, 2022 | | 2022 |
Kishore GopalakrishnanResearch Scientist Wayne State University在 wayne.edu 的电子邮件经过验证
