국립부경대학교 | ENVIRONMENTAL AND MARINE SCIENCES AND TECHNOLOGY

Faculty

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Park, SanghunAssistant Professor

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  • Email : mail
  • Tel : 051-629-6527
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Ulsan National Institute of Science and Technology (UNIST), Ph.D. (2021)

Ulsan National Institute of Science and Technology (UNIST), B.S. (2016)

2022~2023: Cycle for Water Research, Korea Institute of Science and Technology (KIST), Postdoctoral Fellow

2021~2022: Environmental Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Postdoctoral Fellow

- Physical and Electrochemical water treatments

- Desalination

- Organic matter analysis

- Artificial intelligence (AI)

There is no registered information.

Yoon, N., Park, S., Son, M., Cho, K.H. (2022). Automation of membrane capacitive deionization process using reinforcement learning. Water Research, 227

Son, M., Yoon, N., Park, S., Ather, A., Cho, K.H. (2023). An open-source deep learning model for prediction of effluent concentration in capacitive deionization. Science of the Total Environment, 856

Park, S., Shim, J., Jeong, K., Cho, K.H. (2022). Physically-assisted removal of organic fouling by osmotic backwashing coupled with chemical cleaning. Journal of Cleaner Production, 378

Jaffari, Z.H., Abbas, A., Lam, S., Park, S., Chon, K., Kim, E., Cho, K.H. (2022). Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green. Journal of Hazardous Materials, 442, 130031

Park, S., Shim, J., Yoon., N., Moon, Son., Cho, K. (2022). Deep reinforcement learning in an ultrafiltration system: Optimizing operating pressure and chemical cleaning conditions. Chemosphere, 308, 136364

Yoon, N., Park, S., Shim, J., Lee, J., Son, M., Cho, K.H. (2022). Membrane capacitive deionization model including fouling indexes obtained via real-time fouling layer measurements. Desalination, 536, 115852

Park, S., Angeles, A.T., Son, M., Shim, J., Cho, K.H. (2022). Predicting the salt adsorption capacity of different capacitive deionization electrodes using random forest. Desalination, 537, 115826

Son, M., Shim, J., Park, S., Yoon, N., Jeong, K., Cho, K.H. (2022). Seawater Battery Desalination with Sodium-Intercalation Cathode for Hypersaline Water Treatment. Desalination, 531, 115713

Pyo, J., Hong, S.M., Jang, J., Park, S., Park, J., Noh, J.H., Cho, K.H. (2022). Drone-borne sensing of major and accessory pigments in algae using deep learning modeling, GIScience & Remote Sensing, (1), 310-332

Park, S., Kim, N., Kim, Y., Son, M., Cho, K.H. (2022). Seawater battery desalination with a reverse osmosis membrane for simultaneous brine treatment and energy storage. Journal of Cleaner Production, 333, 130188 

There is no registered information.