이화여자대학교

나종걸(羅鐘杰) 부교수

화공신소재공학과 / 시스템헬스융합전공[대학원]

나종걸 프로필 사진
나종걸 교수는 서울대학교 화학생물공학부에서 학사(2013, Cum Laude, 경제학 부전공)와 공학박사(2018) 학위를 취득하였다. 박사과정 중 미국 MIT 화학공학과에서 방문연구를 수행하였으며, 학위 취득 후 한국과학기술연구원(KIST) 청정에너지연구센터와 미국 카네기멜런대학교(Carnegie Mellon University) 화학공학과에서 박사후연구원을 거쳐 2020년 이화여자대학교 화공신소재공학과 조교수로 부임하였다. 2025년 차세대 우수 연구자에게 수여되는 ‘신진이화펠로우(Ewha Young Fellow)’에 선정되었다.

주요 연구 분야는 공정시스템공학(Process Systems Engineering), 인공지능, 다중스케일 시뮬레이션 및 수학적 최적화를 융합한 ‘자율 공정 및 제품 설계(Autonomous Process & Product Design)’이다. 특히 단순한 신소재 개발 연구에 머물지 않고, 인공지능과 로봇 자동화를 결합한 자율실험실(Self-Driving Laboratory, SDL)을 활용해 기존 기술로는 도달하기 어려운 ‘신공정 탄소중립’ 달성과 순환경제 시스템 구축을 위한 혁신적인 공정 설계에 주력하고 있다. 이러한 성과를 바탕으로 Nature Communications, Nature Chemical Engineering, Chemical Society Reviews, ACS Catalysis, ACS Energy Letters, Chemical Engineering Journal, Chemical Science 등 최상위 국제학술지에 다수의 논문을 발표해 왔다. 

현재 과학기술정보통신부 국가연구실(NRL 2.0) 사업으로 출범한 멀티스케일 물질 및 시스템 연구소(IMMS)의 핵심 멤버이자 자율실험실(SDL) 분과 리더를 맡고 있으며, 인공지능과 로보틱스를 통해 신소재와 최적 공정의 발견 속도를 획기적으로 가속화하는 차세대 연구 인프라 구축을 최전선에서 진두지휘하고 있다.

연구 우수성을 인정받아 미원상사 신진과학자상(2024), 이화여자대학교 연구실적 우수교원 총장상(2024), AIChE CACE Best Paper Award(2022) 등을 수상하였다. 나종걸 교수 연구실은 "분자 스케일의 물질 발견부터 첨단 제조 시스템의 전주기적 최적화까지, 지능형 자율 공정의 시대"를 함께 이끌어갈, 화학공학·인공지능·로봇공학·재료과학 융합에 열정을 가진 대학원생을 적극적으로 모집하고 있다.
  • jgna@ewha.ac.kr
  • 아산공학관 527호
  • 0232774202
  • 면담 가능시간
    • 목요일 14:00-18:00
  • 연구관심분야
    • 공정시스템공학, 공정설계, 자율실험실, 인공지능, 최적화
  • sdg07
  • sdg09
  • sdg13
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  • [학술발표] Explainable formation energy prediction for uncovering the relationship between the electronic structure and stability of the heterogeneous catalyst The 33rd European Symposium on Computer-Aided Process Engineering (ESCAPE-33), 그리스, 아테네, 2023-06-19 Computer Aided Chemical Engineering, 2023
  • [학술발표] Physics-informed neural networks for optimization of polymer reactor design The 33rd European Symposium on Computer-Aided Process Engineering (ESCAPE-33), 그리스, 아테네, 2023-06-19 Computer Aided Chemical Engineering, 2023
  • [학술발표] Break the Trade-Off Relationship between Detection and Diagnosis Performance through Explainable Deep Learning 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-16 2022 AIChE Annual Meeting Proceeding, 2022
  • [학술발표] Decision-Making Optimization of Hybrid Energy Management System for Curtailed Renewable Energy through Deep Reinforcement Learning 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-13 2022 AIChE Annual Meeting Proceeding, 2022
  • [학술발표] Energy optimization of chemical process : Comparison of derivative-free algorithms 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-15 2022 AIChE Annual Meeting Proceeding, 2022
  • [학술발표] General Techno-Economic Analysis of Electrochemical Ammonia Production Processes with Various Nitrogen Sources 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-15 2022 AIChE Annual Meeting Proceeding, 2022
  • [학술발표] Multi-Objective Catalyst Shape Optimization for Solid-Catalyzed Gas-Phase Reactions with q-Expected Hypervolume Improvement Via Particle-Resolved CFD Simulations 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-16 2022 AIChE Annual Meeting Proceeding, 2022
  • [학술발표] Slug Flow Reactor Simulation for Controllable Residence Time Distribution Using Computational Fluid Dynamics 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-16 2022 AIChE Annual Meeting Proceeding, 2022
  • [학술발표] Techno-Economic Analysis of Ultrasound Technology for Ethanol-Water Mixture Separation Process 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-16 2022 AIChE Annual Meeting Proceeding, 2022
  • [학술발표] echno-Economic and Life-Cycle Assessment of Electrochemical Captured CO2 Conversion Process in Monoethanolamine 2022 AIChE Annual Meeting, 미국, 2022-11-16 2022 AIChE Annual Meeting Proceeding, 2022
  • [학술발표] Autonomous Exploration of Catalyst Shape with Blender-CFD based Multi-Objective Bayesian Optimization 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-29 한국화학공학회 초록집, 2021
  • [학술발표] Comparative study of electrochemical ammonia production processes via nitrogen reduction 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-28 한국화학공학회 초록집, 2021
  • [학술발표] Conceptual design of non-equilibrium ultrasonic separation for clean chemical processes 2021 한국공업화학회 추계 총회 및 학술대회 , 대한민국, 2021-11-05 한국공업화학회 초록집, 2021
  • [학술발표] Efficient Calculation of Molecular Weight Distribution in the Presence of Non-ideal Mixing 한국화학공학회 2020년도 봄 총회 및 학술대회, 대한민국, 2021-04-22 한국화학공학회 초록집, 2021
  • [학술발표] Explainable Catalyst Performance Prediction for Electrochemical CO2RR 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-29 한국화학공학회 초록집, 2021
  • [학술발표] Generative Chemical Transformer: Attention makes neural machine learn molecular structures via text 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-28 한국화학공학회 초록집, 2021
  • [학술발표] Geometric optimization of random packing catalyst in trickle-bed reactor using computational fluid dynamics 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-29 한국화학공학회 초록집, 2021
  • [학술발표] Kinetic Modeling and Process Design of Shale gas Aromatization using Mo/ZSM-5 in Packed Bed Catalytic Reactor 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-29 한국화학공학회 초록집, 2021
  • [학술발표] Multiscale model to Interpret kinetic behavior of CO2 RR system on Ag foil catalyst 한국화학공학회 2020년도 봄 총회 및 학술대회, 대한민국, 2021-04-23 한국화학공학회 초록집, 2021
  • [학술발표] Optimal Decision-making Model for Renewable Energy Supply Chain Using Reinforcement Learning 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-29 한국화학공학회 초록집, 2021
강의
  • 2026-2학기

  • 2025-2학기

    • 공정제어시스템

      • 학수번호 37520분반 01
      • 3학년 (3학점, 3시간) 수 3~3 (공학),금 2~2 (159)
      • 영어강의
  • 2025-1학기

    • 화학공정설계

      • 학수번호 37525분반 01
      • 4학년 (3학점, 3시간) 화 6~6 (연구),목 4~4 (101)
    • 화공수학

      • 학수번호 38776분반 01
      • 2학년 (3학점, 3시간) 월 2~2 (공대강당),목 3~3 (공대강당)
      • 영어강의 교환학생 수강불가
    • 시스템헬스개론

      • 학수번호 G18067분반 01
      • 학년 (3학점, 3시간) 목 7~8
    • 시스템헬스개론

      • 학수번호 G18441분반 01
      • 학년 (3학점, 3시간) 목 7~8
      • 교수변경
  • 2024-2학기

    • 공정제어시스템

      • 학수번호 37520분반 01
      • 3학년 (3학점, 3시간) 수 3~3 (공학),금 2~2 (161)
      • 영어강의
    • 시스템과학머신러닝

      • 학수번호 G18280분반 01
      • 학년 (3학점, 3시간) 수 4~5 (연구)
      • 강의실변경
  • 2024-1학기

    • 화학공학실험Ⅱ

      • 학수번호 37516분반 02
      • 3학년 (3학점, 4.5시간) 목 6~8 (공학)
      • 정원 외 교환학생 수강 불가
    • 화학공정설계

      • 학수번호 37525분반 01
      • 4학년 (3학점, 3시간) 월 4~4 (연구),목 5~5 (101)
    • 화공수학

      • 학수번호 38776분반 01
      • 2학년 (3학점, 3시간) 월 2~2 (공대강당),목 3~3 (공대강당)
      • 영어강의
    • 융합신소재

      • 학수번호 G18278분반 01
      • 학년 (3학점, 3시간) 화 6~7 (공학)
  • 2023-2학기

    • 공정제어시스템

    • 시스템과학머신러닝

      • 학수번호 G18280분반 01
      • 학년 (3학점, 3시간) 목 4~5 (공학)
  • 2023-1학기

    • 화학공정설계

    • 화공수학

    • 시스템헬스개론 강의 계획서 상세보기

      • 학수번호 G18067분반 01
      • 학년 (3학점, 3시간) 목 7~8
    • 융합신소재

      • 학수번호 G18278분반 01
      • 학년 (3학점, 3시간) 목 3~4 (공학)
    • 시스템헬스개론

      • 학수번호 G18441분반 01
      • 학년 (3학점, 3시간) 목 7~8
      • 엘텍공과대학행정실-847(2022.06.17.) 신설
학력

서울대학교공학박사(화학생물공학부)

서울대학교공학사(화학생물공학부)

경력

Carnegie Mellon University2019-07-01 ~ 2020-02-29

한국과학기술연구원(KIST)2018-03-01 ~ 2019-06-21

Massachusetts Institute of Technology, Visiting Scholar2026-03-01 ~ 2027-02-28

교내수상이력

신진이화펠로우2025-03-01

연구실적우수(우수)2024-03-01

교외수상이력

Computers & Chemical Engineering (CACE) Best Paper Award (Elsevier)2022-11-15

미원상사신진과학자상 (한국공업화학회)2024-05-09