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대표경력
한국화학공학회 화학안전부문위원회 총무간사
한국청정기술학회 기획이사
한국가스안전공사 자문위원
전국과학전람회 심사위원
전북대학교 공학교육혁신센터 PD
한국청정기술학회 기획이사
한국가스안전공사 자문위원
전국과학전람회 심사위원
전북대학교 공학교육혁신센터 PD
대표논문
1. Seo-Yul Kim, Akriti Sarswat, Sunghyun Cho, MinGyu Song, Jinsu Kim, Matthew J Realff, David S Sholl, Ryan P Lively, Near-cryogenic direct air capture using adsorbents, Energy & Environmental Science, 18, 15, 7427 (2025)
2. Jihun Ju, Dongyun Choi, Sunghyun Cho, Yunsung Yoo, Dongwoo Kang, Absorption characteristics and rheological properties of quaternized polyamine-based deep eutectic solvents for high performance CO2 capture, Chemical Engineering Journal, 496, 153922 (2024)
3. Sunghyun Cho, Minsu Kim, Jaewon Lee, Areum Han, Jonggeol Na, Il Moon, Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning, Engineering Applications of Artificial Intelligence, 117, 105463 (2023)
4. Sunghyun Cho, Jonghun Lim, Hyungtae Cho, Yunsung Yoo, Dongwoo Kang, Junghwan Kim, Novel process design of desalination wastewater recovery for CO2 and SOX utilization, Chemical Engineering Journal, 433, 133602 (2022)
5. Sunghyun Cho, Minsu Kim, Byeongil Lyu, Il Moon, Optimization of an explosive waste incinerator via an artificial neural network surrogate model, Chemical Engineering Journal, 407, 126659 (2021)
2. Jihun Ju, Dongyun Choi, Sunghyun Cho, Yunsung Yoo, Dongwoo Kang, Absorption characteristics and rheological properties of quaternized polyamine-based deep eutectic solvents for high performance CO2 capture, Chemical Engineering Journal, 496, 153922 (2024)
3. Sunghyun Cho, Minsu Kim, Jaewon Lee, Areum Han, Jonggeol Na, Il Moon, Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning, Engineering Applications of Artificial Intelligence, 117, 105463 (2023)
4. Sunghyun Cho, Jonghun Lim, Hyungtae Cho, Yunsung Yoo, Dongwoo Kang, Junghwan Kim, Novel process design of desalination wastewater recovery for CO2 and SOX utilization, Chemical Engineering Journal, 433, 133602 (2022)
5. Sunghyun Cho, Minsu Kim, Byeongil Lyu, Il Moon, Optimization of an explosive waste incinerator via an artificial neural network surrogate model, Chemical Engineering Journal, 407, 126659 (2021)