Project:

o Sejong Science Fellowship, National Research Foundation of Korea: Predicting micropollutants using explainable artificial intelligence and numerical model (2022-2026), $ 650,000 USD (Principal Investigator) 

o 영남대학교 신임교원 과제, 인공지능과 수치모델을 활용하여 수질 예측, (2022-2024), $ 22,000 USD (Principal Investigator) 

o 디지털트윈 시스템 구축을 위한 상수관망 수질사고 모의 및 분석기술 개발, ETRI, (2022-2023), $ 27,000 USD (Principal Investigator) 

Honors and Awards:

o Best research award, Korea Water Resource Association, 2018. (우수발표 논문상, 수자원학회, 2018)

o 1st prize at EDISON challenge, Ministry of Science and ICT, 2018. (EDSION software 경진대회 대상, 과학기술정보통신부장관, 2018)

o 3rd prize at Graduate's Paper Competition organized by Ulsan Development Institute (UDI) in Ulsan, Korea, 2015. (대학원 논문경진대회 3등상, 울산발전연구원, 2015)

o Talent award of Korea, Deputy prime minister & Ministry of Education, Republic of Korea, 2014. (대한민국인재상, 사회부총리 겸 교육부장관, 2014)

Publication (international)

57. Sang-Soo Baek, Jiyi Jang, Daehyun Kang, Yongeun Park, Mayzonee Ligaray, Seungho Baek, Jinyong Choi, Bum Soo Park, Myoung-In Lee*, and Kyung Hwa Cho*, Influences of climate change and anthropogenic sources on harmful algal bloom in South Korea, under review,  (First-author)

56. Soobin Kim, Eunhee Lee, Hyoun-Tae Hwang, Jongcheol Pyo, Daeun Yun, Sang-Soo Baek*, and Kyung Hwa Cho*A spatiotemporal assessment of groundwater and surface water conditions using deep learning and a physics-based model, under review,  (Corresponding-author)

55. Jiyi Jang, Sung Min Cha, JongCheol Pyo, Kwang-Sik Yoon, Yongeun Park, Sang-Soo Baek*, Kyung Hwa Cho* ,New water flow module for the storm water management model simulations of low impact development designs, Journal of the American Water Resources Association, in revision, (Corresponding-author)

54. Jang, J., Abbas, A., Kim, H., Rhee, C., Shin, S. G., Chun, J. A.,SS Baek & Cho, K. H. (2023). Prediction and interpretation of pathogenic bacteria occurrence at a recreational beach using data-driven algorithms. Ecological Informatics, 78, 102370.  (Co-author) 

53. Mashkoor, F., Shoeb, M., Anwer, A. H., Hasan, I., Baek, S. S., & Jeong, C. (2023). W2O7 decorated polyindole nanocomposites: A dual-function platform for efficient removal and electrochemical sensing of cadmium metal ion. Journal of Environmental Chemical Engineering, 11(6), 111460.  (Co-author) 

52. Mashkoor, F., Shoeb, M., Rauf, M. A., Kareem, S., Adnan, S. M., Mashkoor, R., ... Baek, S. S*., & Jeong, C. (2023). Facile one-pot environmentally benign synthesis of graphene decorated hematite nanocomposites for environmental remediation, antibacterial and anticancer activity. Inorganic Chemistry Communications, 156, 111113. (Corresponding-author)

51. Mashkoor, F., Shoeb, M., Mashkoor, R., Anwer, A. H., Zhu, S., Jeong, H., ...Baek, S. S.,  & Jeong, C. (2023). Synergistic effects of tungstate trioxide hemihydrate decorated reduced graphene oxide for the adsorption of heavy metals and dyes and postliminary application in supercapacitor device. Journal of Cleaner Production, 418, 138067.  (Co-author) 

50. Kim, S., Abbas, A., Pyo, J., Kim, H., Hong, S. M., Baek, S. S., & Cho, K. H. (2023). Developing a data-driven modeling framework for simulating a chemical accident in freshwater. Journal of Cleaner Production, 138842. ,  (Corresponding-author)

49. Jeung, M., Jang, J., Yoon, K., & Baek, S. S. (2023). Data assimilation for urban stormwater and water quality simulations using deep reinforcement learning. Journal of Hydrology, 624, 129973. (Corresponding-author)

48. Abbas, A., Park, M., Baek, S. S., & Cho, K. H. (2023). Deep learning-based algorithms for long-term prediction of chlorophyll-a in catchment streams. Journal of Hydrology, 130240. (Corresponding-author) 

47. Yun, D., Kang, D., Cho, K. H., Baek, S. S., & Jeon, J. (2023). Characterization of micropollutants in urban stormwater using high-resolution monitoring and machine learning. Water Research, 235, 119865. . (Corresponding-author) 

46. Anwer, A. H., Khan, N., Ansari, M. Z., Baek, S. S., Yi, H., Kim, S., Jeong, C. (2022). Recent Advances in Touch Sensors for Flexible Wearable Devices. Sensors, 22(12), 4460. (Co-author) 

45. Sang-Soo Baek, Young Ok Kim, Jungmin Choi, Hong Yeon Cho, Min-Chul Jang, Determination of sampling time interval for ecological trend of tintinnids, (2022), Journal of Plankton Research,  fbac027. (First-author)

44. Lim, Y. K., Park, B. S., Bak, S. H., Baek, S. S., & Baek, S. H. (2022). Potential inhibition of the harmful dinoflagellate Cochlodinium (= Margalefidinium) polykrikoides by the intrusion of Changjiang diluted water into Korea coastal waters. Ecological Indicators, 139, 108924. (Co-author) 

43. Baek, S. S., Jung, E. Y., Pyo, J., Pachepsky, Y., Son, H. J., & Cho, K. H. (2022). Hierarchical deep learning model to simulate phytoplankton at phylum/class and genus levels and zooplankton at the genus level. Water Research, 118494. (First-author)

42. Kim, S., Kim, M., Kim, H., Baek, S. S., Kim, W., Kim, S. D., & Cho, K. H. (2022). Chemical Accidents in Freshwater: Development of Forecasting System for Drinking Water Resources. Journal of Hazardous Materials, 128714. (Co-author) 

41. Do Hyuck Kwon; Seok Min Hong; Ather Abbas; JongCheol Pyo; Hyung-Kun Lee; Sang-Soo Baek*; Kyung Hwa Cho, Inland harmful algal blooms (HABs) modeling using internet of things (IoT) system and deep learning, Environmental Engineering Research, accepted, (Corresponding-author)

40. Yun, D., Kang, D., Jang, J., Angeles, A. T., Pyo, J., Baek, S.S*., & Cho, K. H*. (2022). A novel method for micropollutant quantification using deep learning and multi-objective optimization. Water Research, 118080., (Corresponding-author)

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39. Jin Hwi Kim; Jae-Ki Shin; Hankyu Lee; Dong Hoon Lee; Joo-hyon Kang; Kyung Hwa Cho; Yong-Gu Lee; Kangmin Chon; Sang-Soo Baek; Yongeun Park. Improving performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling method, Water research, (Corresponding author)

38. Ather Abbas, Sangsoo Baek, Norbert Silver, Bounsamay Soulileuth, Olivier Ribolzi, Laurie Boithias, Kyung Hwa Cho, In-stream Escherichia coli modeling using a high temporal resolution data with deep learning and process-based model, Hydrology and Earth System Sciences, (Co-author)

37. Sang-Soo Baek, Daeun Yun, JongCheol Pyo, Daeho Kang, Junho Jeon and Kyung Hwa Cho, Analysis of micropollutants in a marine outfall using network analysis and decision tree, Science of the Total Environment, accepted, (First author)

36. Baek, S. S., Pyo, J., Kwon, Y., Chun, S. J., Baek, S., Ahn, C. Y., ... & Cho, K. Deep learning for simulating harmful algal blooms using ocean numerical model. Frontiers in Marine Science, 1446. (First author)

35. Pyo, J., Cho, K. H., Kim, K., Baek, S. S., Nam, G., & Park, S. (2021). Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblage. Water Research, 203, 117483. (Co-author)

34. Hong, S. M., Baek, S. S., Yun, D., Kwon, Y. H., Duan, H., Pyo, J., & Cho, K. H. (2021). Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning models. Science of The Total Environment, 148592. (Co-author)

33. Lim, Y. K., Park, B. S., Kim, J. H., Baek, S. S., & Baek, S. H. (2021). Effect of marine heatwaves on bloom formation of the harmful dinoflagellate Cochlodinium polykrikoides: Two sides of the same coin?. Harmful Algae, 104, 102029. (Co-author)

32. Soobin Kim, Yong Sung Kwon, JongCheol Pyo, Sang-Soo Baek, Mayzonee Ligaray, Joong-Hyuk Min, Jung Min Aihn, Kyung Hwa Cho, , Developing a Cloud-based Tool for Sensitivity and Uncertainty Analysis of a Water Quality Model, Accepted, Environmental Modelling & Software, (Corresponding-author).

31. Yongeun Park, Han Kyu Lee, Jae-Ki Shin, Kangmin Chon, SungHwan Kim, Kyung Hwa Cho, Sang-Soo Baek Development of an early-warning system for algal bloom alert level in an inland weir pool, Korea, Journal of Environment management, Accepted (Corresponding-author)

30. Daeun Yun, Ather Abbas, Mayzonee Ligaray, Junho Jeon, Sang-Soo Baek, Kyung Hwa Cho, , Coupling physical-based and deep-learning models for the simulation of micro-pollutants, Journal of Cleaner Production, Accepted (Corresponding-author).

29. Baek, S. S., Kwon, Y. S., Pyo, J., Choi, J., Kim, Y. O., & Cho, K. H. (2021). Identification of influencing factors of A. catenella bloom using machine learning and numerical simulation. Harmful Algae, 103, 102007. (First author)

28. Pyo, J., Kwon, Y. S., Ahn, J. H., Baek, S. S., Kwon, Y. H., & Cho, K. H. (2021). Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water. Remote Sensing, 13(4), 709 (Co-author).

27. Kim, M., Ligaray, M., Kwon, Y. S., Kim, S., Baek, S., Pyo, J., & Cho, K. H. (2021). Designing a marine outfall to reduce microbial risk on a recreational beach: Field experiment and modeling. Journal of hazardous materials, 409, 124587 (Co-author).

26. Sang-Soo Baek, Younghun Choi, Junho Jeon, JongCheol Pyo, Jongkwan Park, Kyung Hwa Cho, (2021), Replacing the internal standard to estimate micropollutants using deep and machine learning, Water Research, 116535, (First author).

25. Baek, S. S., Pyo, J., & Chun, J. A. (2020). Prediction of Water Level and Water Quality Using a CNN-LSTM Combined Deep Learning Approach. Water, 12(12), 3399. (First author)

24. JongCheol Pyo, Lan Joo Park, Yakov Pachepsky, Sangsoo Baek, Kyunghyun Kim, Kyung Hwa Cho, (2020), Using Convolutional Neural Network for Predicting Cyanobacteria Concentrations in River Water, Water research, 186, 116349., (Co-author)

23. Jiyi Jang, Minjeong Kim, Sangsoo Baek, Jingyeong Shin, Juhee Shin, Seung GuShin, Young Mo Kim, Kyung Hwa Cho, (2020), Hydrometeorological Influence on Antibiotic‐Resistance Genes (ARGs) and Bacterial Community at a Recreational Beach in Korea, Journal of Hazard Material, 403, 123599., (Co-author)

22. Ather Abbas, Sangsoo Baek, Minjeong Kim, Olivier Ribolzi, Norbert Silvera, Joong-Hyuk Min, Laurie Boithias, Kyung Hwa Cho, (2020), Surface and sub-surface flow estimation at high temporal resolution using deep neural networks, Journal of Hydrology, 590: 125370., (first author).

21. Cui, Y., Chun, S. J., Baek, S. S., Baek, S. H., Kim, P. J., Son, M., & Oh, H. M. (2020). Unique microbial module regulates the harmful algal bloom (Cochlodinium polykrikoides) and shifts the microbial community along the Southern Coast of Korea. Science of The Total Environment, 137725, (Co-author).

20. Park, Y., Chon, K., Shin, J. K., Lim, Y., Baek, S. S., & Kim, J. H. (2020). Modeling the influence of future climatic variables on nutrient loading in the Yeongsan River Basin, South Korea. DESALINATION AND WATER TREATMENT, 180, 104-110. (Co-author).

19. Baek, S. S., Ligaray, M., Pyo, J., Park, J. P., Kang, J. H., Pachepsky, Y., ... & Cho, K. H. (2020). A novel water quality module of the SWMM model for assessing low impact development (LID) in urban watersheds. Journal of Hydrology, 124886. (First Author).

18. Baek, S. S., Pyo, J., Pachepsky, Y., Park, Y., Ligaray, M., Ahn, C. Y., & Cho, K. H. (2020). Identification and enumeration of cyanobacteria species using a deep neural network. Ecological Indicators, 115, 106395. (Co-first author).

17. SangSoo Baek, Yakov Pachepsky, Jong Ahn Chun, Kwang-Sik Yoon, Yongeun Park, Kyung Hwa Cho, (2020), Assessment of a green roof practice using the coupled SWMM and HYDRUS models, Journal of environment management, 261: 109920, (First author).

16. JongCheol Pyo, Hongtao Duan, Mayzonee Ligaray, Minjeong Kim, Sangsoo Baek, Yong Sung Kwon, Hyuk Lee, Taegu Kang, Kyunghyun Kim, YoonKyung Cha, Kyung Hwa Cho, (2019) An integrative remote sensing application of stacked autoencoder for atmospheric correction and cyanobacteria estimation using hyperspectral imagery, Remote sensing, 12.7: 1073. (Co-author).

15. JongCheol Pyo; Hongtao Duan, Sang-Soo Baek, Taegyun Jeon, Yong Sung Kwon, Hyuk Lee, Kyung Hwa Cho, (2019), A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery, Remote Sensing of Environment, 233, 111350., (Co-author).

14. Sanghun Park, Sang-Soo Baek, JongCheol Pyo, Yakov Pachepsky, Jonkwan Park, Kyung Hwa Cho, (2019) Deep neural networks for modeling fouling growth and flux decline during NF/RO membrane filtration, Journal of Membrane Science, 587, 117164., (Co-first author).

13. Jeung, M., Sang-Soo Baek., Beom, J., Cho, K., Her, Y., & Yoon, K. (2019). Evaluation of Random Forest and Regression Tree Methods for estimation of Mass First Flush Ratio in Urban Catchments. Journal of Hydrology. 575, 1099-1110., (Co-author).

12. SangSoo Baek, Junho Jeon, Hyuk Lee, Jongkwan Park, Kyung Hwa Cho, (2019) Investigating influence of  Hydrological regime on organic matters characteristic in a Korean Watershed, Water, 11(3), 512. (First-author).

11. Jongkwan Park, Kwanho Jeong, Sangsoo Baek, Sanghun Park, Mayzonee Ligaray, Tzyy Haur Chong, Kyunghwa Cho, (2019) Modeling of NF/RO membrane fouling and flux decline using real-time observations, Journal of Membrane Science, 576, 66-77. (Co-author).

10. JongCheol Pyo, Yakov Pachepsky, Minjeong Kim, Sang-Soo Baek, Hyuk Lee, YoonKyung Cha, Kyung Hwa Cho, Yongeun Park, (2019). Simulating seasonal variability of phytoplankton in stream water using the modified SWAT model, Environmental Modelling & Software, 122, 104073. (Co-author).

9. Sangsoo Baek, Mayzonee Ligaray, Jeong-Pyo Park, Hyun-Suk Shin, Kwon Yongsung, Joseph Brascher, Kyung Hwa Cho, (2019). Developing a hydrological simulation tool to design bioretention in a watershed, Environmental Modelling and Software, 122: 104074. (First-author).

8. Dong jin Jeon, Seo Jin Ki, Sang-Soo Baek, YoonKyung Cha, Kyung Hwa Cho, Kwang-Sik Yoon, Hyun Suk Shin, Joon Ha Kim (2017) Assessing the efficiency of aggregate low impact development (LID) at a small urbanized sub-catchment under different storm scenarios, Desalination and Water Treatment, Accepted, (Co-author).

7. JongCheol Pyo, Yakov Pachepsky, SangSoo Baek, YongSeong Kwon, Kim MinJeong, Hyuk Lee, Sanghyun Park, YoonKyung Cha, Rim Ha, Gibeom Nam, Yongeun Park, Kyung Hwa Cho, Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea, Remote Sensing, (2017), 9, 542 (Co-author).

6. Pyo, J., Baek, S. S., Kim, M., Park, S., Lee, H., Ra, J. S., & Cho, K. H. (2017). Optimizing agricultural best management practices in a lake erie watershed. JAWRA Journal of the American Water Resources Association, 53(6), 1281-1292. (Co-author).

5. Ligaray, M., Kim, M., Baek, S., Ra, J. S., Chun, J. A., Park, Y., Cho, K. H. (2017). Modeling the Fate and Transport of Malathion in the Pagsanjan-Lumban Basin, Philippines. Water, 9(7), 451. (Co-author).

4. Ligaray, M, Baek, S. S, Kwon, H. O., Choi, S. D., & Cho, K. H. (2016). Watershed-scale modeling on the fate and transport of polycyclic aromatic hydrocarbons (PAHs). Journal of Hazardous Materials, 320, 442-457. (Co-first author).

3. Kim, M., Baek, S., Ligaray, M., Pyo, J., Park, M., & Cho, K. H. (2015). Comparative studies of different imputation methods for recovering streamflow observation. Water, 7(12), 6847-6860. (Co-author).

2.Baek, S. S., Choi, D. H., Jung, J. W., Lee, H. J., Lee, H., Yoon, K. S., & Cho, K. H. (2015). Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approach. Water research. (First-author).

1. Baek, S. S., Choi, D. H., Jung, J. W., Yoon, K. S., & Cho, K. H. (2015). Evaluation of a hydrology and run-off BMP model in SUSTAIN on a commercial area and a public park in South Korea. Desalination and Water Treatment, 55(2), 1-13. (First-author).

Publication (Domestic)

6. 장지이, 권용성, 표종철, 백상수, 수자원과 유해조류 분야에서의 딥러닝 적용사례, (2022), 물과 미래, 55(6), 62-67.  (Corresponding-author)

5. Chun, J. A., Lee, H. J., Im, S. H., Kim, D., & Baek, S. S. (2021). Comparative assessment of frost event prediction models using logistic regression, random forest, and LSTM networks. Journal of Korea Water Resources Association, 54(9), 667-680. (Corresponding-author)

4. J.C. Pyo, S. Park, K.H. Cho, S.-S. Baek, 수 환경 분야에서의 딥러닝 모델 적용사례, Korean Society of

Water & Wastewater, (Corresponding-author)

3. Sangsoo Baek․Hanna Choi․Jongkwan Park†, Low Impact Development Modeling: Literature Review and Suggestion for Future Work,2019, J. Korean Soc. Environ. Eng., 41(5), 292~299. (First author)

Review Paper

2. 최동호, 정재운, 윤광식, 백상수, 유승화, 범진아 원단위와 LID시설규모 산정을 위한 상업지역과 위락시설지역의 유출율 분석, 2015, 한국수처리학회지, 23(3), 53-64. (Co-author)

1. Jung, J. W., Park, H. N., Choi, D. H., Baek, S. S., Yoon, K. S., Baek, W. J., Beam, J. A., and Lim, B. J. Analysis of First Flush of Recreation Park and Removal Rate According to Rainfall-Runoff Storage Depth. Journal of Korean Society on Water Environment 2013; 29(5): 648-655. (Co-author)