Research output per year
Research output per year
Personal profile
Research interests
Praewa Wongburi's research has consistently focused on leveraging big data analytics and recurrent neural networks (RNN) to improve operational efficiencies and predictive capabilities in wastewater treatment plants. Through her work, Dr. Wongburi has contributed to advancing the understanding of effluent water quality, sludge volume index prediction, and the broader application of data-driven decision-making tools in environmental engineering.
Looking forward, Dr. Wongburi is dedicated to exploring the optimization of aeration in wastewater treatment processes, enhancing real-time control systems, and developing advanced predictive models for effluent quality. Her upcoming research aims to establish a logistics framework for real-time prediction models and an energy efficiency database to support the transition towards carbon-neutral hospital wastewater treatment plants. These efforts are poised to significantly impact the field by improving energy efficiency, reducing carbon footprints, and facilitating the adoption of sustainable wastewater treatment solutions.
Education/Academic qualification
PhD, Civil and Environmental Engineering, University of Wisconsin-Madison
5 Sept 2018 → 22 Aug 2021
Award Date: 22 Aug 2021
Master, Civil and Environmental Engineering, University of Wisconsin-Madison
6 Sept 2016 → 13 May 2017
Award Date: 13 May 2017
Bachelor, Environmental Engineering, Kasetsart University
Award Date: 25 May 2015
Keywords
- TD Environmental technology. Sanitary engineering
- Wastewater Treatment Optimization
- Sustainable Wastewater Treatment
- Artificial Intelligence (AI)
- Big Data Analytics
- Recurrent Neural Networks (RNN)
- Effluent Water Quality
- Energy Efficiency
- Aeration Optimization
- Environmental Sustainability
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Comparison of ground biomass for carbon measurement and management in persimmon plantation at Mae Hae Royal Project
Bhaktikul, K., Wongburi, P., Prasertpong, P., Jaturus, P., Budwang, P., Jäppinen, S., Wonghatam, N. & Suksungworawong, P., Sept 2026, In: Environmental Challenges. 24, 101533.Research output: Contribution to journal › Article › peer-review
Open Access -
Sustainable removal of methylene blue using minimally modified hydrochar from durian peels with experimental adsorption and density functional theory studies
Peerakiatkhajohn, P., Wongburi, P., Nakason, K., Panyapinyopol, B., Nueangnoraj, K., Sakulaue, P., Poggio, D., Nimmo, W. & Phanthuwongpakdee, J., Mar 2026, In: Chemical Engineering Journal Advances. 25, 101011.Research output: Contribution to journal › Article › peer-review
Open Access -
Prediction of Wastewater Treatment Plant Effluent Water Quality Using Recurrent Neural Network (RNN) Models
Wongburi, P. & Park, J. K., Oct 2023, In: Water (Switzerland). 15, 19, 3325.Research output: Contribution to journal › Article › peer-review
Open Access -
Prediction of Sludge Volume Index in a Wastewater Treatment Plant Using Recurrent Neural Network
Wongburi, P. & Park, J. K., 1 May 2022, In: Sustainability (Switzerland). 14, 10, 6276.Research output: Contribution to journal › Article › peer-review
Open Access -
Big data analytics from a wastewater treatment plant
Wongburi, P. & Park, J. K., 1 Nov 2021, In: Sustainability (Switzerland). 13, 22, 12383.Research output: Contribution to journal › Article › peer-review
Open Access