Publications and Presentations - Project 2
Project 2 - Sensing & Remediation Study
*Denotes Corresponding Author; ** Denotes Presenter; ^Denotes Student Advised
Publications
^Roostaei, J., *Wager, Y., Shi, W., Dittrich, T., Miller, C., Gopalakrishnan , K., 2023. "IoT-based Edge Computing (IoTEC) for Improved Environmental Monitoring", Sustainable Computing: Informatics and Systems (38): 100870. https://doi.org/10.1016/j.suscom.2023.100870.
Featured as Hot Publication in Superfund Research Program Newsletter (July 2023).
^Mobasser, S., Wager, Y., *Dittrich, T. 2022. "Indoor air purification of volatile organic compounds (VOCs) using activated carbon, zeolite and, organosilica sorbents", Industrial & Engineering Chemistry Research.
^Mulhern, R., ^J. Roostaei, ^S. Schwetschenau, ^T. Pruthi, C. Campbell, and J. MacDonald Gibson. 2022. A new approach to a legacy concern: predicting lead exposure risk in community water systems using machine-learned Bayesian networks. Environmental Research (204):112146. https://doi.org/10.1016/j.envres.2021.112146.
Lu, S., ^Yao, Y., Shi, W. 2021. "CLONE: Collaborative Learning on the Edges," IEEE Internet of Things Journal (IF 10.2), Vol. 8, No. 13. pp. 10222-10236.
^Roostaei, ^J., S. Colley, ^R. Mulhern, A. A. May, and J. MacDonald Gibson. 2021. Predicting the risk of GenX contamination in private well water using a machine-learned Bayesian network model. Journal of Hazardous Materials 411(5):125075. DOI: https://doi.org/10.1016/j.jhazmat.2021.125075
^Yurko, G., ^Roostaei, J., Dittrich, T., Xu, L., ^Ewing, M., Zhang, Y., *Shreve, G. 2019. "Real-Time Sensor Response Characteristics of 3 Commercial Metal Oxide Sensors for Detection of BTEX and Chlorinated Aliphatic Hydrocarbon Organic Vapors", Chemosensors.
^Zabinski, J. W., G. Garcia-Vargas, M. Rubio-Andrade, R. C. Fry, and J. MacDonald Gibson*. 2016. Advancing dose-response assessment methods for environmental regulatory impact analysis: a Bayesian belief network approach applied to inorganic arsenic. Environmental Science & Technology Letters 3(5):200-204.
Presentations and Conferences
^Wang, Q., Roostaei, J., Shi,W., Miller, C., Dittrich1, T., , *Wager, Y. IoTEC - A Novel Sensor Network for Real-time Monitoring of Vapor Intrusion in Urban Environments. 2023 SRP Annual Grant Recipient Meeting, Albuquerque, NM, December 4 -6, 2023 (poster presentation).
^Wang, Q., Roostaei, J., Shi,W., Miller, C., Dittrich1, T.,*Wager, Y. IoTEC - A Novel Sensor Network for Real-time Monitoring of Vapor Intrusion in Urban Environments. 2023 Brownfield Conference, Detroit, August 8 – 11, 2023 (poster presentation).
^Roostaei, J., Shi,W., Miller, C., *Dittrich1, T., , *Wager, Y. IoT-based Edge Computing (IoTEC) for Improved Environmental Monitoring: A Case Study of Real-Time Monitoring of Vapor Intrusion. 2022 Superfund Research Program Annual Meeting, Raleigh, North Carolina, December 14 - 16, 2022 (poster presentation).
^Tummala, C.M., ^Mobasser, S., ^Roostaei, J., Zhang, Y., Shi, W., Dittrich, T.M. & Miller, C. J., Internet of Things-based Edge Computing (IoTEC) for Rapid Response Vapor Intrusion Identification and Potential Mitigation, 2020 NIEHS SRP Annual Conference (virtual meeting), December 14-15, 2020 (Poster Presentation).
^Mobasser, D., ^Roostaei, J., **Zhang, Y., Shi, W., *Dittrich, T., and Miller, C. Internet of Things-based Edge Computing (IoTEC) Sensor Network and Integrated Air Purifier for Rapid Response Vapor Intrusion Identification and Potential Mitigation. NIEHS SRP 2019 Annual Conference, Seattle WA, November 18-20, 2019 (Poster Presentation).
^Roostaei, J., Shi, W., *Dittrich, T., ^Zhang, Y. IoT-based Edge Computing (IoTEC) for Environmental Sensing: A Case Study of Monitoring Vapor Intrusion, AEESP 2019 Research and Education Conference, Phoenix AZ, 2019 May 14-16 (Oral Presentation).