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김상윤, SangYoun Kim

박사 과정, Ph.D. Student (AI+Environment/TEA/LCA/반도체/Decarbonization,QSAR,소프트센서, DAC/MOF/PSA/수소, Water자율

031-201-2124

    Name: 

      - 김상윤, SangYoun Kim

    Position: 

      - 박사과정, Ph.D. Student

    Education:

      - 2015.03 ~ 2019.02, Kyung Hee University (B.S. - Environmental Engineering)

      - 2021.09 ~ 2023.08, Kyung Hee University (M.Sc. - Environmental Engineering)

      - 2023.09 ~ till date,   Kyung Hee University (Ph.D. - Environmental Engineering)

    Research Area: 

    환경 시스템 공학, 인공지능, 자율 운전, Smart Data Analytics, AI/Big data application, Deep learning/Reinforcement learning, 기술경제성평가(TEA), 환경전과정평가 (LCA), 반도체/디스플레이 배기/그린, ESG, GIS-informed Model, DAC/MOF/PSA/CCS/H2 모델링 (분자/포집/흡착/탈착/탄소/수소 in-house 모델링), 신재생에너지와 바이오조류 에너지 전환 모델링: 공정설계/최적계획/전과정 평가,Computational toxicology(TRANSFORMER, QSPR, in silico), TN 소프트센서/Water 자율설계

    Email:

      - tkddbs5234@khu.ac.kr

    Fellowship: 

    연구재단 박사과정생연구지원 장려금 선정 (2년, 5천만원) 

    -과제명 : 탄소 중립을 위한 DAC 시스템의 AI 기반 역설계, 모델링, 자율 운전 및 기후 통합 연구 

    - 발주처 :연구재단

    -책임자 : 김상윤 박사과정(경희대학교 환경응용과학과)

    -연구기간 : 2025년 9월 1일 ~ 2027년 8월 31일 (2년, 5천만원)


    Selected Publications:

    INTERNATIONAL JOURNAL (SCI/SCIE)

    1. SangYoun Kim, Shahzeb Tariq, Roberto Chang, Usama Ali, Abdulrahman H. Ba-Alawi, SungKu Heo**, ChangKyoo Yoo*, Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data, Building and Environment (ISSN: 0360-1323, SCIE, Top 5% journal: Civil Eng.), Elsevier, 263(9), pp.111906. (2024.09)

    2. SangYoun Kim, Shahzeb Tariq, SungKu Heo, ChangKyoo Yoo*, Interpretable attention-based multi-encoder transformer based QSPR model for assessing toxicity and environmental impact of chemicals, Chemosphere (ISSN: 0045-6535, SCIE, IF 8.9/JCR TOP 12%), Elsevier, 350(2), pp.141086 (2024.02)

    3. SangYoun Kim, SungKu Heo, KiJeon Nam, TaeYong Woo and ChangKyoo Yoo*, Flexible renewable energy planning based on multi-step forecasting of interregional electricity supply and demand: Graph-enhanced AI approach, Energy (ISSN: 0360-5442, SCI, Top 5% journal - THERMODYNAMICS), Elsevier, 282(11), pp. 128858 (2023.11) 

    4. SangYoun Kim , Shahzeb Tariq , SungKu Heo, Mohammad Moosazad, ChangKyoo Yoo*, Multi-objective pathway selection for sustainable biorefinery process with harvest scheduling under time-varying climate: Techno-economic analysis and life cycle assessment approach, Energy Conversion and Management(SCI, JCR TOP 3%), 343(11), pp. 120247​ (2025.11.01) 

    5. TaeYong Woo+, SangYoon Kim+, Shahzeb Tariq, SungKu Heo, ChangKyoo Yoo* Leveraging Generative AI and Large Language Model for Process Systems Engineering: A State-of-the-art Review, Korean Journal of Chemical Engineering

    6. SangYoun Kim, TaeYong Woo, ChanHyeok Jeong, NaYeong Jeon, Byung-Moon Jun, KiJeon Nam, SungKu Heo*, and ChangKyoo Yoo**Offline reinforcement learning-driven feedforward control in sequencing batch reactor for TMAH-rich semiconductor wastewater, Journal of Water Process Engineering (ISSN: 2214-7144, SCIE, JCR TOP 10%: Water Resources), Elsevier, (), pp.(2026.3) (Ack 2개:)

    ​DOMESTIC JOURNAL

    1. ​정찬혁, 김상윤, 허성구, Shahzeb Tariq, 신민혁, 유창규, 3D 프린팅 소재 화학물질의 독성 예측을 위한 Data-centric XAI 기반 분자 구조 data imputation과 QSAR 모델 개발, Korean Chemical Engineering Research (HWAHAK KONGHAK) (ISSN: 0304-128X, 학진등재/Scopus), 61(4), pp. 523-541, (2023.11)

    2. 김상윤, 남기전, 허성구, 이선정, 최지훈, 박준규, 유창규, 기후 변화 적응을 위한 벡터매개질병의 생태 모델 및 심층 인공 신경망 기반 공간-시간적 발병 모델링 및 예측, Korean Chemical Engineering Research (HWAHAK KONGHAK) (ISSN:0304-128X, 학진등재/Scopus), 58(2), pp. 197-208, (2020.04) 


    PATENT APPLICATION (특허출원)


    PATENT  REGISTRATION (특허 등록)

     

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우태용, Taeyong Woo

석박사 통합과정, Integrated M.S./Ph.D. program (AI+Environment/MBR/Decarbonization(탈탄소)/LLM/Gen AI, TN소프트센서

031-201-2124
    Name태용, Taeyong Woo
    Position: 석박사통합과정, Integrated M.S./Ph.D. program
    Education:
    - 2012.09  ~  2017.12  State University of New York - Environmental Science and Forestry  (BS - Environmental Science)
    - 2020.09  ~  till date   KyungHee University  (MS/PhD combined - Environmental Engineering)
     
    Research Area: 환경정보학, 인공지능, 강화학습, 미세먼지, 실내공기질, 에너지, TN소프트센서/Water자율설계, MBR/Decarbonization(탈탄소)/LLM/Gen AI, ​Agentic AI

    INTERNATIONAL JOURNAL (SCI/SCIE)

    Publication list (SCI/SCIE)

    1. TaeYong Woo+ , KiJeon Nam+, SungKu Heo, Juin Yau Lim, SangYoun Kim, and ChangKyoo Yoo*Predictive maintenance system for membrane replacement time detection using AI-based functional profile monitoring: Application to a full-scale MBR plant, Journal of Membrane Science (ISSN: ISSN: 0376-7388, IF=8.7, JCR JCR Top 3.4%), 649(5), pp.120400 (2022.5) (Editor’s choice-Cover paper)

    ​2. TaeYong Woo+, A.S. Tayerani Charmchi+, Pouya Ifaei+, SungKu Heo, KiJeon Nam, ChangKyoo Yoo*, Three energy self-sufficient networks of wastewater treatment plants developed by nonlinear bi-level optimization models in Jeju IslandJournal of Cleaner Production (ISSN:0959-6526, SCIE, Top 10% journal:Engineering Civil), Elsevier, 379(11), pp.134465 (2022.11) 

    3. HeeJu Song+TaeYong Woo+, SangYoun Kim, ChanHyeok Jeong , MinHan Kim, SungKu Heo**ChangKyoo Yoo*, Predictive monitoring of wastewater treatment performance: Seasonal microbial activity and data-informed water quality model, Journal of Water Process Engineering (ISSN: 2214-7144, SCIE, JCR TOP 10%: Water Resources), Elsevier, 73(5), pp.107718(2025.5) 
    4. TaeYong Woo+ SangYoon Kim+, Shahzeb Tariq, SungKu Heo, ChangKyoo Yoo* Leveraging Generative AI and Large Language Model for Process Systems Engineering: A State-of-the-art Review, Korean Journal of Chemical Engineering
    5. SangYoun Kim, TaeYong Woo, ChanHyeok Jeong, NaYeong Jeon, Byung-Moon Jun, KiJeon Nam, SungKu Heo*, and ChangKyoo Yoo**Offline reinforcement learning-driven feedforward control in sequencing batch reactor for TMAH-rich semiconductor wastewater, Journal of Water Process Engineering (ISSN: 2214-7144, SCIE, JCR TOP 10%: Water Resources), Elsevier, (), pp.(2026.3) (Ack 2개:)
    6. KiJeon Nam , Qian Li , SungKu Heo, Shahzeb Tariq, Jorge Loy-Benitez, TaeYong Woo, and ChangKyoo Yoo* , Inter-regional multimedia fate analysis of PAHs and potential risk assessment by integrating deep learning and climate change scenarios, Journal of Hazardous Materials (ISSN:0304-3894, SCIE, TOP 3% journal: Environmental Science) (2021.06) Elsevier, 411(6), pp.125149 (Ack: 2017R1E1A1A03070713 & Graduate School specialized in Climate Change).

    DOMESTIC JOURNALS
    1. 허성구+정찬혁+이나희심예림우태용김정인유창규*첨단 전자산업 폐수처리시설의 Water Digital Twin(II): e-ASM 모델 보정수질 예측공정 선택과 설계 (Water Digital Twin for high-tech electronics industrial wastewater treatment system (II): e-ASM model calibration, effluent prediction, process selection, and design, Clean Technology(청정기술) (ISSN:1598-9712한국연구재단 등재학술지), (), -  (Ack: NRF2021-중견연구) (2022.1)

    PATENT APPLICATION (특허출원)

    1. 발명인명유창규우태용남기전, 출원인 명칭: 인공지능 기반 막 수명 진단방법막 교체 시기 파악을 위한 예측유지 관리방법 및 시스템 (Predictive maintenance system for membrane replacement time detection using AI-based functional profile monitoring), 출 원 번 호: 10-2022-0030740출 원 일 자 2022-03-11 (Ack: NRF2021R1A2C2007838​) 


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정찬혁, ChanHyeok Jeong

박사과정, Ph.D. Student (AI+Environment/안전/반도체/QSAR/Decarbonization(탈탄소)/AD소화조제어/Water자율설계, Resilient 환경

031-201-2124

    Name: 정찬혁, JEONG CHAN HYEOK

    Positions:  Ph. D. Student

    Eduation:

    - 2017.03 ~ 2023. 02 KyungHee University (BS – Environmental Engineering)

    - 2023.03 ~ 2025. 02 KyungHee University (MSc – Environmental Engineering)

    - 2025.03 ~ till date KyungHee University (Ph. D. – Environmental Engineering)

     

    Research Area: 환경시스템공학, 자율운전, Software, Smart Data Analytics, Environmental Informatics, AI-Autonomous operation system,​ Artificial Intelligence for Environment System, Deep reinforcement learning-based monitoring, control and optimization, QSAR/Risk assessment, Dynamic programming, Iterative PID control, Advanced control, LCA, 반도체/디스플레이 배기/그린/안전, AD소화조제어/TN소프트센서/Water자율설계, Resilient 환경시스템​, AD소화조 제어/TN_TP소프트센서/Water자율설계

     

    Fellowship: 

    [KHYSS장학] BK21+ KHYSS(세계적 학자 육성 프로그램) Fellowship 과제 

    ​-연구과제 : 다차원 프린팅 폐수처리 공정 Digital Twin Platform : 제조도메인 특화 AI자율모델링·자율보정·자율제어

    -기간 : 2026.03 ~ 2027.02

    - 참여 연구원: 정찬혁 (박사과정)

    [RA/GCR] 연구과제 : 탄소중립 하수처리장 공정 온실가스발생량 및 에너지사용 정량화 신기술 연구기술-경제-환경 통합 평가(TEA-LCA)

    (Project: Integrated TEALCA for Greenhouse Gas and Energy Quantification in Carbon-Neutral Wastewater Treatment Plants

     - 참여 연구원: 정찬혁 (박사과정), 전나영 (석사과정​)

     

    Selected Publications:

    INTERNATIONAL JOURNAL (SCI/SCE)

    1. SungKu Heo, Jaerak Ko , SangYoun Kim, Chanhyeok Jeong, Soonho Hwangbo**ChangKyoo Yoo*, Explainable AI-driven net-zero carbon roadmap for petrochemical industry considering stochastic scenarios of remotely sensed offshore wind energyJournal of Cleaner Production (ISSN:0959-6526, SCIE, Top 10% journal:Engineering Civil), 379(2), pp.134793​ (2022.12)

    2. ChanHyeok Jeong, SungKu Heo**, TaeYong Woo , SangYoun Kim, and ChangKyoo YooAI-driven ventilation control policy proximal optimization coupled with dynamic-informed real-time model calibration for 6 healthy and sustainable indoor PM2.5 management, Energy and Buildings (ISSN: 0378-7788​, JCR TOP10% journal)Elsevier,323(11), pp. 114786(2024.11)

    3. TaeYong Woo, SangYoon Kim, ChanHyeok Jeong, SungKu Heo**ChangKyoo Yoo*Membrane-informed multi-mechanistic predictive maintenance for MBR plants: Early determination of membrane cleaning with biologically driven, physically deposited, and chemically induced fouling model​, Desalination (ISSN:0011-9164, SCI, Top 5% journal - Water Resource), Elsevier, 594(01), pp.118263  (2025.1) (Ack 1: NRF2021중견연구)

    4. HeeJu Song+, TaeYong Woo+, SangYoun Kim, ChanHyeok Jeong , MinHan Kim, SungKu Heo**ChangKyoo Yoo*, Predictive monitoring of wastewater treatment performance: Seasonal microbial activity and data-informed water quality model, Journal of Water Process Engineering (ISSN: 2214-7144, SCIE, JCR TOP 10%: Water Resources), Elsevier, 73(5), pp.107718(2025.5) (Ack:NRF중견과제)

    5. Byung-Moon Jun, SangYoun Kim, Inho Choi, Su-Ho Ahn, ChanHyeok Jeong, Seung Hwan Kim, Hojung Rho, ChangKyoo Yoo, Yeomin Yoon*, Recent advances in rare earth elements recovery: A comprehensive review of membrane-based pressure-driven processes and selective chemical precipitation​, Chemical Engineering Journal (SCI, ISSN:1385-8947, JCR TOP 5%), 531(3), pp. 173905 (2026.03)

    6. ChanHyeok JeongView More..

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전나영, NaYoung Jeon

석사과정, MSc student (DAC/MOF/CCS 모델링, 환경시스템공학, 기술-경제성평가(TEA), 전과정평가 (LCA), ​Decarbonization(탈탄소), AI/D

031-201-2124

    Name:

      - 전나영, NaYoung Jeon

     

    Email:

      - nay4885@khu.ac.kr

     

    Position:

      - 석사과정, MSc student

     

    Education:

      - 2020.03 ~ 2025.02, Kyung Hee University (B.S. - Environmental Engineering)

      - 2025.03 ~ till date, Kyung Hee University (M.Sc. - Environmental Engineering)

     

    Research Area:

    DAC/MOF/CCS 모델링, 환경시스템공학, 기술-경제성평가(TEA), 전과정평가 (LCA), ​Decarbonization(탈탄소), AI/Big data application, Deep learning/Reinforcement learning

     

    Fellowship: 

    [RA/GCR] 연구과제 : 탄소중립 하수처리장 공정 온실가스발생량 및 에너지사용 정량화 신기술 연구기술-경제-환경 통합 평가(TEA-LCA)

    (Project: Integrated TEALCA for Greenhouse Gas and Energy Quantification in Carbon-Neutral Wastewater Treatment Plants

     - 참여 연구원: 정찬혁 (박사과정), 전나영 (석사과정​)

    - 기간 : 2026.03 ~ 2027.01

     

    Selected Publications:

    INTERNATIONAL JOURNAL (SCI/SCIE) 

    1. SangYoun Kim, TaeYong Woo, ChanHyeok Jeong, NaYeong Jeon, Byung-Moon Jun, KiJeon Nam, SungKu Heo*, and ChangKyoo Yoo**Offline reinforcement learning-driven feedforward control in sequencing batch reactor for TMAH-rich semiconductor wastewater, Journal of Water Process Engineering (ISSN: 2214-7144, SCIE, JCR TOP 10%: Water Resources), Elsevier, (), pp.(2026.3) (Ack:)

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    PATENT APPLICATION (특허출원)

     

    PATENT  REGISTRATION (특허 등록) 

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Israel Ayodamola Bayode

Ph.D. Student

    Research Interests: AI + X (Energy, Environment, …), Data Science, Reinforcement Learning, Machine Learning, Deep Learning, Robotic Process Automation, Software Engineering

     

    Education:

    • 2010 – 2014: Bachelor of Science (Hons.) in Mathematics, Department of Mathematics, University of Ibadan

    BSc Project: Advantages of Project Evaluation Review Technique (PERT) over Critical Path Method (CPM) in Project Planning

    • 2016 – 2018: Master of Science in Mathematics, Department of Mathematics, University of Ibadan

    MSc Thesis: Pricing and Managing Swing Options in Energy Market

        • 2022 – till date: Ph.D. in Integrated Engineering [AI + X], EMSEL, KyungHee University 

     

      Selected Publications:

      INTERNATIONAL JOURNAL (SCI/SCIE)

    1. Israel A. Bayode+Abdulrahman H. Ba-Alawi+, Hai-Tra Nguyen+, Taeyong Woo, and ChangKyoo Yoo*, Long-term policy guidance for sustainable energy transition in Nigeria: A deep learning-based peak load forecasting with econo-environmental scenario analysis,Energy (ISSN: 0360-5442, SCI, Top 5% journal - THERMODYNAMICS)Elsevier, (), pp.-  (Ack.: 2021R1A2C2007838) (2025.03)

     

    PATENT APPLICATION (특허출원)

     

    PATENT  REGISTRATION (특허 등록) 

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Usama Ali

Combined student of MSc-Ph.D

    Research Interest:  Smart Systems/ Machine Learning/ Digital Twin/ Reinforcement Learning/Data Science

    Education:

    - 2016.02 – 2020.11: (BE) Electronics Engineering IQRA University Karachi, Pakistan  

     Bachelors Thesis: Foldimate (cloth folding and pressing machine) and AI based humanoid Robot 

     - 2022.09 ~ till date:   KyungHee University  (MS/PhD combined - Integrated Engineering @ Dept of Applied Environment)

     

      Selected Publications:

      Usama Ali+ , Shahzeb Tariq+ , Sangyoun kim , Usman Safder , ChangKyoo Yoo*, Techno-economic assessment of a demand-responsive RO-PRO superstructure for sustainable saline wastewater treatmentDesalination (ISSN:0011-9164, SCI, Top 5% journal - Water Resource), Elsevier, 622(03), pp.119797​  (2026.3)

      Usama Ali+HeeJu Song+Pouya Ifaei+, TaeYong Woo, ChanHyeok Jeong, ChangKyoo Yoo*Nexus approach considering Water-Exergy-Carbon-Cost for sustainable short-trip transportation systemsEnergy(SCI,  ISSN: 0360-5442, JCR TOP 5% ), 344(02), pp. 139745(2026.3)

    Usama Ali+, Shahzeb Tariq+, Keugtae Kim, Roberto Chang-Silva, ChangKyoo Yoo*, Transfer learning-informed sensor validation for detecting and diagnosing unseen air quality fault, Tunnelling and Underground Space Technology​ (ISSN: 0886-7798, SCIE, Top 10% journal: Civil Eng.), 169(03), pp. 107299(2026.3)

    Usama Ali+, Shahzeb Tariq+, Keugtae Kim, Roberto Chang-Silva, ChangKyoo Yoo*, Interpretable distance adaptive GCN-autoencoder for soft sensor validation and remote reconstruction in urban air quality monitoring networks,  ISA Transactions(ISSN: 0019-0578, SCIE, Top 10%: Instruments & Instrumentation), Elsevier (2025.10)

    Shahzeb Tariqa+, Usama Ali+, Sangyoun Kimb, ChangKyoo Yoob*, Multi-agent distributed reinforcement learning for energy-efficient thermal comfort control in multi-zone buildings with diverse occupancy patterns,  Energy (ISSN: 0360-5442, SCI, Top 5% journal - THERMODYNAMICS), Elsevier, 332(9), pp. 137082​  (Ack 2개.: 2021R1A2C2007838 and DGU MOE과제) (2025.09)​

    Shahzeb Tariq+, Usama Ali+, Seshagiri Rao Ambati and ChangKyoo Yoo*, Attention Driven–Chained Transfer Learning for Generalized Sequential State of Charge Forecasting in Vanadium Redox Flow Batteries, ​International Journal of Energy Research (ISSN:0363-907X​, JCR TOP 3%:NUCLEAR SCIENCE & TECHNOLOGY), Wiley publishing, Vol. 2025 (1), pp. 9925384(2025.3) (Ack:  

     

    Selected Publications:

    INTERNATIONAL JOURNAL (SCI/SCIE) 

    1.

     

    PATENT APPLICATION (특허출원)

     

    PATENT  REGISTRATION (특허 등록) 

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    Mahmoud Kiannejad Amiri

        Research interest:

        Nanomaterials, Nanofluid, Nanoscience, Wastewater, Environmental, Modeling, Optimization

         

        Education:

        - 2015.09 – 2018.12, University of Science and Technology of Mazandaran, Behshahr, Iran (Master of Chemical Engineering)

        - 2010.09 – 2014.09, Shomal University, Amol, Iran (Bachelor of Chemical Engineering)

         

        Selected Publications:

         

        1. Mahmoud Kiannejad Amiri, Seyed Peiman Ghorbanzade Zaferani, Mohammad Reza Sarmasti Emami, Sasan Zahmatkesh, Ramin Pourhanasa, Sina Sadeghi Namaghi, Jiří Jaromír Klemeš, Awais Bokhari, Mostafa HajiaghaeiKeshteli, Multi-objective optimization of thermophysical properties GO powders-DW/EG Nf by RSM, NSGA-II, ANN, MLP and ML, Energy (ISSN: 1873-6785, Volume 280, 1 October 2023, 128176)

        2. Mahmoud Kiannejad Amiri, Sasan Zahmatkesh, Mohammad Reza Sarmasti Emami, Awais Bokhari, Curve fitting model of Polycarbonate Al2O3-nanoparticle membranes for removing emerging contaminants from wastewater: Effect of temperature and nanoparticles, Chemosphere (ISSN: 1879-1298, Volume 322, May 2023, 138184)

        3. Seyed Peiman Ghorbanzade Zaferani, Mahmoud Kiannejad Amiri, Ali Akbar

        Amooey, Computational AI to predict and optimize the relationship between dye removal efficiency and Gibbs free energy in the adsorption process utilizing TiO2/chitosan-polyacrylamide composite, International Journal of Biological Macromolecules (ISSN: 0141-8130), (Volume 264, Part 2, April 2024, 130738)

        4. Seyed Peiman Ghorbanzade Zaferani, Mahmoud Kiannejad Amiri, Mohammad Reza Sarmasti Emami, Sasan Zahmatkesh, Mostafa HajiaghaeiKeshteli, Hitesh Panchal, Prediction and optimization of sustainable fuel cells behavior using artificial intelligence algorithms, International Journal of Hydrogen Energy (ISSN: 1879-3487), (Volume 52, Part D, 2 January 2024, Pages 746-766)

         

       

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    Reza Farahmandpour

      Education:

      - 2018.09 ~ 2021.02 Isfahan University of Technology (Master’s Degree: Process Design, Chemical engineering)

      - 2014.09 ~ 2018.07 Semnan University (Bachelor's Degree: Chemical engineering)​​

       

      Selected Publications:

      1. Farahmandpour, R., Karimi, K., Denayer, J.F. and Shafiei, M., 2022. Innovative biorefineries for cleaner waste textile management towards circular economy: Techno-economic analysis. Journal of Cleaner Production, 378, p.134500. 

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    Umais Khan

    Combined student of MSc-Ph.D

       

      Name : Umais Khan 

      email : umaiskhan660@gmail.com

        Research interest:

        IAQ/OAQ, HVAC, AI for Smart Systems, Deep Learning, Reinforcement Learning, LLMs

         

        Education:

        - 2020.11 - 2024.06: (BE) Mechanical Engineering from College of Electrical and Mechanical Engineers (NUST), Rawalpindi, Pakistan

                                           Bachelor Thesis: Smart Cold Storage System 

        - 2025.03  ~  till date   KyungHee University  (MS/PhD combined - Environmental Engineering)

         

        Selected Publications:

        INTERNATIONAL JOURNAL (SCI/SCIE) 

         

        PATENT APPLICATION (특허출원)

         

        PATENT  REGISTRATION (특허 등록) 

         

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    Ahsan Sher

    MS/PhD combined - Integrated Engineering

      Ahsan Sher

      Name: Ahsan Sher

      email: sherahsan97@gmail.com, ahsansher@khu.ac.kr

      Research interest:

      IAQ/OAQ, HVAC, AI for Smart Systems, Energy-Efficient HVAC System Design, Climate-Adaptive HVAC Systems.

       Education:

      - 2020.11 - 2024.06: (BE) Mechanical Engineering from College of Electrical and Mechanical Engineers (NUST), Rawalpindi, Pakistan

                                         Bachelor Thesis: Smart Cold Storage System

      - 2026.03   KyungHee University  (MS/PhD combined - Environmental Engineering)

       

      IAQ/OAQ, HVAC, AI for Smart Systems, Energy-Efficient HVAC System Design, Climate-Adaptive HVAC Systems.

       

       Education:

       

      - 2020.11 - 2024.06: (BE) Mechanical Engineering from College of Electrical and Mechanical Engineers (NUST), Rawalpindi, Pakistan

       

                                         Bachelor Thesis: Smart Cold Storage System

       

      - 2026.03   KyungHee University  (MS/PhD combined - Environmental Engineering)​ 

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    Muhammad Asjad Ikram

    MS/PhD combined - Integrated Engineering

      Muhammad Asjad Ikram


      Name: Muhammad Asjad Ikram

      email: asjadikram68@gmail.com, asjad@khu.ac.kr

      Research interest:

      HVAC, Machine Learning, Data Engineering, Control Systems


      Education:

      - 2020.11 - 2024.06: (BE) Mechanical Engineering from College of Electrical and Mechanical Engineers (NUST), Rawalpindi, Pakistan

                                   Bachelor Thesis: Smart Cold Storage System

      - 2026.03 onward KyungHee University (MS/PhD combined - Integrated Engineering) 

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    Tahereh Shojaei

    MS/PhD combined - Integrated Engineering

       

      •  Name: Tahereh Shojaei
        Email: t.shojaei228@gmail.com
      • Research Interest: Deep Reinforcement learning, Energy management, Data-Driven Modeling, Deep Learning, Optimization
      • Education:

        2026.03 onward KyungHee University (MS/PhD combined - Integrated Engineering)

        2016 – 2019,

         Shiraz University of Technology, Shiraz, Iran (Master of Industrial Engineering)

        2010 – 2014, Zand University of Higher Education, Shiraz, Iran (Bachelor of Industrial Engineering)

      •  

        Selected Publications

        1. Shojaei, Tahereh, and Alireza Mokhtar. "Forecasting energy consumption with a novel ensemble deep learning framework." Journal of Building Engineering 96 (2024): 110452

        2. Shojaei, Tahereh, and Alireza Mokhtar. "Carbon mitigation by quota allocation." Journal of Environmental Management 304 (2022): 114097

        3. Kazemi, Morteza, Ardavan Asef-Vaziri, Tahereh Shojaei, and S. A. H. S. Amiri. "A math-heuristic algorithm for concurrent assignment and sequence scheduling in multi-shuttle shared location automated storage and retrieval systems." Journal of Supply Chain and Operations Management 19, no. 1 (2021)

        4. Kazemi, Morteza, Ardavan Asef-vaziri, and Tahereh Shojaei. "Concurrent optimization of shared location assignment and storage/retrieval scheduling in multi-shuttle automated storage and retrieval systems." IFAC-PapersOnLine 52.13 (2019): 2531-2536

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