The main theme of Brain-inspired eXplainable Artificial Intelligence(BXAI) laboratory is a next generation Artificial Intelligence based on  Neuroscience.

Notice

• We are looking for postdocs, graduate and undergraduate students interested in 

  • • Brain-inspired Artificial Intelligence (to building Artificial Brain Models based on Neuroimage & Neural Computation)

      • Application 1: Brain-machine Interface

      • Application 2: Financial Time Series Forecasting

  • If you're interested, please send me an email(h2kim at pknu.ac.kr) with your curriculum vitae.

• We highly recommend that you apply to the job opening for AI and Data Scientist in 4N Inc.

  • Homepage: https://www.4nbrain.com/recruit

Research Areas

PI: HOON-HEE KIM (HUNHEE KIM), Ph.D.

• Assistant Professor, Pukyong National University, Republic of Korea, 2022.09.01. – present.

  • Pukyong National University (English Page)

  • College of Information Technology and Convergence (English Page)

  • Department of Computer Engineering and Artificial Intelligence (English Page)

  • Major of Computer Engineering (English Page)

    • E-mail: h2kim at pknu.ac.kr  |  Phone: +82-51-629-6244 | Fax: +82-50-7088-1203

    • Nuri-gwan(A13) 1st Floor #2104 (Office)  | #2105, #2106 (Lab)

• Scientific Advisor, 4N Inc., Republic of Korea, 2021.03.01. – present.

  • 4N Inc.

    • E-mail: hhkim at 4nbrain.com

• Assistant Professor, Kangnam University, Republic of Korea, 2021.03.01. – 2022.08.31.

• CTO, 4N Inc., Republic of Korea, 2020.09.01. – 2021.02.28.

• Researcher (PI),  Information & Electronics Research Institute, Korea Advanced Institute of Science and Technology, Republic of Korea, 2019.09.01. – 2020.08.31.

• Researcher, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea, 2020.03.01. – 2020.08.31.

• Researcher, Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Republic of Korea, 2019.09.01 – 2020.08.31.

• Researcher, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea, 2017.03.01 – 2017.12.31.

• Combined M.S./Ph.D., Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea, 2019.

Member

• Han-Beot Park | Major: Materials Science and Engineering

• Do-Hyeon Lim | Major: Computer Engineering

• Yun-Jeong Cho | Major: Biomedical Engineering

• Seung-Hyuk Ko | Major: Data Engineering

• Myeong-Ju Jo | Major: Computer Engineering

• Gyujin Kim | Major: Biomedical Engineering

• Tae-Hoon Lee | Major: Applied Mathmatics

• (Alumni) Su-Min Beak | Major: Data Science

• (Alumni) Myo-kyeong Kim | Major: Data Science

• (Alumni) Hoe-young Lee | Major: Data Science

• (Alumni) Yeon-hee Choo | Major: Software Engineering

• (Alumni) Hyun-Ku Kang | Major: Data Science

Selected Publications

• Hoon-Hee Kim, Jaeseung Jeong, “An electrocorticographic decoder for arm movement for brain-machine interface using an echo state network and Gaussian readout”, Applied Soft Computing, 117, 108393, 2022. https://doi.org/10.1016/j.asoc.2021.108393 [IF: 6.725, JCR=0.09 < 10%, Rank: 11/111 (COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS)] 

• Hoon-Hee Kim, “Integrated Model of Reservoir Computing and Autoencoder for Explainable Artificial Intelligence", BMC Neuroscience, 21(Suppl 1), P99, 29th Annual Computational Neuroscience Meeting: CNS(Organization for Computational Neuroscience)-2020. https://doi.org/10.1186/s12868-020-00593-1

• Sungu Nam, Hoon-Hee Kim, Dong-Hwa Jeong, Youngjo Song, Jeungmin Lee, Jaeseung Jeong, “Questionnaire accuracy measurement and verification using bio signal sensor based virtual reality head mounted display”, 10th World Congress of Neuroscience (International Brain Research Organization; IBRO), 2019.

• Hoon-Hee Kim, Jaeseung Jeong, “Decoding electroencephalographic signals for direction in brain-computer interface using echo state network and Gaussian readouts”, Computers in Biology and Medicine, 110, 254-264, 2019. https://doi.org/10.1016/j.compbiomed.2019.05.024 [IF: 4.589, JCR=0.12 < 15%, Rank: 7/58 (MATHEMATICAL & COMPUTATIONAL BIOLOGY)]

• Hoon-Hee Kim, Jaeseung Jeong, “Decoding Electrocorticography Signals of the Arm Movement Using Echo State Networks”, The 3rd International Conference on Biomedical Imaging, Signal Processing, 2018.

• Hoon-Hee Kim, Jaeseung Jeong, “Predicting user intent directions in EEG using Echo State Network with Gaussian Readouts”, The 2nd International Conference on Medical Information and Bioengineering, 2017, (Best Presentation Award).

• Hoon-Hee Kim, Jaeseung Jeong, “Representations of directions in EEG-BMI using winner-take-all readouts”, IEEE 5th International Winter Conference on Brain-Computer Interface (BCI), Article number 7858178, Pages 121-122. 2017. https://doi.org/10.1109/IWW-BCI.2017.7858178 (Conference Paper)

• Hoon-Hee Kim, Seok-hyun Moon, Do-won Lee, Sung-beom Lee, Ji-yong Lee, Jaeseung Jeong, “Representations of directions in EEG‑BCI using Gaussian readouts”, BMC Neuroscience, 17(Suppl 1), P14, 25th Annual Computational Neuroscience Meeting: CNS(Organization for Computational Neuroscience)-2016. https://doi.org/10.1186/s12868-016-0283-6 

• Hoon-Hee Kim, Jaeseung Jeong, “The roles of short-term plasticity and synaptic weights in self-organized criticality”, BMC Neuroscience, 14(Suppl 1), P192-P192, 22nd Annual Computational Neuroscience Meeting: CNS(Organization for Computational Neuroscience)--2013. https://doi.org/10.1186/1471-2202-14-S1-P192

• Hoon-Hee Kim, Jaeseung Jeong, “Modeling Orientation Selectivity and Contrast Invariance using Recurrent Neural Networks without Attractors”, The 3rd Annual Meeting of Society for Computational Neuroscience, 2011. (Best Poster Award)

• Hoon-Hee Kim, Jaeseung Jeong, “Recovery of computation capability for neural networks from damaged states using self-organized criticality”, BMC Neuroscience, 11(Suppl 1), P30-P30, 19th Annual Computational Neuroscience Meeting: CNS(Organization for Computational Neuroscience)--2010. https://doi.org/10.1186/1471-2202-11-S1-P30

• Hoon-Hee Kim, Bon-Woong Ku, Byoung-Tak, “Modeling Orientation-Selectivity using Recurrent Neural Networks without Attractors”, Korea Computer Congress, 2008. 35(1C): p. 226-229, 2008. (Conference Paper)

Patents

• Hoon-Hee Kim, Seongkyun Kim, Jaehyung Kwon, “사용자의 생각을 디코딩하는 인공지능 시스템 (AN ARTIFICIAL INTELLIGENCE SYSTEM DECODING THE USER'S THOUGHTS)”, South Korea, Registration No. 10-2610810. (2023.12.01.), Application No.10-2022-0128484. (2022.10.07.).

• Hoon-Hee Kim, Seongkyun Kim, Jaehyung Kwon, “정신질환의 진단을 위한 설명 가능한 인공지능 시스템 및 정신질환 진단 방법 (EXPLAINABLE ARTIFICIAL INTELLIGENCE SYSTEM FOR DIAGNOSIS OF MENTAL DISEASES AND METHOD FOR DIAGNOSING OF MENTAL DISEASES)”, South Korea, Registration No. 10-2344532. (2021.12.23.), Application No.10-2021-0036451. (2021.03.22.).

• Hoon-Hee Kim, Seongkyun Kim, Jaehyung Kwon, “기계학습 모델을 이용한 전자약 처방 시스템 및 그 제어방법 (ELCTROCEUTICALS PRESCRIPTION AND THE CONTROL METHOD THEREOF USING MACHINE LEARCNING MODEL)”, South Korea, Registration No. 10-2316631. (2021.10.18.), Application No.10-2021-0036452. (2021.03.22.).

• Hoon-Hee Kim, Seongkyun Kim, Jaehyung Kwon, “인공지능을 이용한 사용자의 생각을 단어로 도출하는 시스템 (SYSTEM FOR DERIVING THE USER'S THOUGHTS INTO WORDS USING ARTIFICIAL INTELLIGENCE)”, South Korea, Public No. 10-2023-0171413. (2023.12.20.), Application No. 10-2023-0172553. (2023.12.01.).

• Hoon-Hee Kim, Seongkyun Kim, Jaehyung Kwon, “EXPLAINABLE ARTIFICIAL INTELLIGENCE SYSTEM FOR DIAGNOSIS OF MENTAL DISEASES AND THE CONTROL METHOD THEREOF”, USA, Application No.17/531,619, under review. (2021.11.19.).

• Hoon-Hee Kim, Seongkyun Kim, Jaehyung Kwon, “ARTIFICIAL INTELLIGENCE SYSTEM DECODING USER'S THOUGHTS AND METHOD FOR CONTROLLING THEREO”, USA, Application No.18/047,073, under review. (2022.10.17.).

Miscellaneous

• The Transfer of Technical Know-how, Technology for Developing Artificial Brain Models that Simulate Sensation-Perception Based on Individual EEG, 4N Inc., 2024.02.26.-2024.04.30.

• The Transfer of Technical Know-how, Implementation of qEEG reporting of large-scale EEG data using cloud computing, 4N Inc., 2023.03.02.-2023.03.20.

• Appearing of broadcast on YTN Science Today- Master of Science (SF 영화처럼 생각만으로 로봇 조종…인공두뇌 개발), 2022.03.10.

  • https://science.ytn.co.kr/program/program_view.php?s_mcd=0082&s_hcd=0031&key=202203101712448457&page=1

• 2nd Prize, AI Championship, Ministry of SMEs and Startups, 2020.11.20.

Research Project (PI)

• "Development of a new form of brain interface system for smart devices and the metaverse: User's thought command recognition brain-machine interface", 2022.07.01. - 2024.06.30.

• "Predicting Financial Time Series and Extracting Explainable Features using Reservoir Computing", 2022.09.01. – 2024.08.31.

• "Development of Artificial Intelligence-based Precise Detection System for False Statements using EEG-fMRI", 2022.03.01. – 2025.12.31

• "A Study on the Optimal Learning Algorithm of EEG Decoder Based on Reservoir Computing”, 2024.01.19. – 2024.02.28.

• “A Study on Internal Unit Layer Size Optimization of EEG Decoder Based on Reservoir Computing”, 2023.11.10. – 2023.12.31.

• “A Study on Spectral Radius Optimization of EEG Decoder Based on Reservoir Computing”, 2023.08.11. – 2023.12.31.

• “Research on the Personal Electroencephalogram Data-Based Sensory-Perception Mimicking Artificial Brain Model for Brain-Machine Interface Decoders”, 2023.06.21. – 2023.12.31.

• “A Study on Brain-Machine Interface for Alternate Speech for Aphasia Patients”, 2023.04.01. – 2023.12.31.

• "Development of an Artificial Intelligence for Long-term EEG Recording system", 2022.12.06. – 2023.10.31.

• "Explainable Reservoir Computing Artificial Intelligence: Application for Nonlinear System Analysis", 2022.11.01. – 2023.10.31.

• "Target Detection based on Brain-computer Interface", 2022.07.01. - 2023.03.31.

• "Algorithm for Computational Function of Neuromorphic System", 2022.12.28. – 2023.02.28.

• "Development of Long-term Usable and Comfortable EEG Recoding AI System", 2022.11.01. – 2023.02.28.

• “Implementation of qEEG Reporting of Large-scale EEG Data using Cloud Computing”, 2023.01.19. – 2023.02.20.

• "Development of Artificial Intelligence Algorithm for Ion-gel Neuromorphic Design", 2022.10.07. – 2023.01.31.

• "Development of Artificial Intelligence for EEG Analysis using Cloud Computing", 2022.01.01. – 2022.06.30.

• "Research and Development of Artificial Intelligence Model for EEG and Bio-signal Processing", 2021.10.01. – 2021.12.31.

• "Development of a Platform for Effective Management of Young Epilepsy Patients", 2020.12.18 - 2021.12.31(2025.08.31).

• "A Non-face-to-face EEG-based Depression Scale System", 2020.09.25 - 2020.11.30.

• "Development of Brain-inspired ‘White Box Machine Learning’ Methods for High Stakes Decision-Making", 2019.09.01. – 2020.08.31.

BXAI Newbie Guides (Lab Survivor)

• Courseworks for BXAI  (Member Only - Link)

  • How to Research?

    • (1 Day) Scientific Reference and Reading

    • (1 Day) Writing

    • (1 Day) Seminar - Grant Proposal Writing

    • (1 Day) Seminar - Research Paper Writing

    • (1/2 Day) Speaking

  • Brain-inspired AI & Machine Learning

    • (Regular Lecture) Introduction AI(2-1), Machine Learning(2-2), Deep Learning1 (3-1)

    • (2 Weeks) Machine Learning Lectures (10 Movies)

    • (1 Weeks) PyTorch & Deep Learning Lectures (6 Movies - Lectures / 1 Movie - Summary)

    • (2 Weeks) Spiking Neural Networks Lectures (5 Movies - SNN / 1 Movie - RC&RNN / 2 Movies - Tutorial)

    • (2 Weeks) Neuroscience for AI/ML Lectures (34 Short Movies)

    • (2 Week) Journal Club (7 Reviews Papers)

  • Domain: Brain-machine Interface

    • (2 Weeks) Introduction Brain-machine Interface (14 Movies) 

    • (1 Week) Practical Brain-machine Interface (8 Movies) 

    • (1 Day) Journal Club (1 Paper)

  • Domain: Financial Time Series

    • (1 Day) Quant Terms

    • (2 Weeks) TextBook List

    • (1 Day) Quant Packages Survey

    • (1 Day) Data Collecting

    • (1 Weeks) Journal Club (2 Papers)

    • (2 Weeks) Financial Time Series(Stock) Trend Prediction Implementation: Code Analysis 

  • Tools

    • (2 Days) AI-Assist (4 Movies)

    • (1 Weeks) Amazon Web Services (8 Movies)

• Resource (Member Only)

  • Notion: https://brainxai.notion.site

• Literacy

  • Neuroscience and Cognitive Science

    • 열두 발자국 / 정재승

    • A Thousand Brains / Jeff Hawkins , Dawkins, Richard (번역서: 천개의 뇌)

    • The Spike / Mark Humphries (번역서: 스파이크)

    • Thinking, Fast and Slow  / Kahneman, Daniel (번역서: 생각에 관한 생각)

    • Noise - A Flaw in Human Judgment / Kahneman, Daniel , Sibony, Olivier , Sunstein, Cass R. (번역서: 노이즈 - 생각의 잡음)

  • Artificial Intelligence

    • 인공지능과 뇌는 어떻게 생각하는가 / 이상완 

    • Superintelligence / Bostrom, Nick (번역서: 슈퍼인텔리전스)

    • 인공지능 원론 / 고학수 , 김용대 , 윤성로 , 김정훈 , 이선구 , 박도현 , 김시원

  • Complex Systems

    • 복잡계 개론 / 윤영수

    • 복잡계 네트워크 경제학 / 이덕희

  • Strategic and Analytical Thinking

    • Principles / Dalio, Ray (번역서: 원칙)

    • How Not to Be Wrong / Ellenberg, Jordan (번역서: 틀리지 않는 법)

    • The Book of Why / Judea Pearl

  • Writing

    • Science Research Writing A Guide for Non-Native Speakers of English / Hilary Glasman-dea (번역본: 유학생 및 과학자를 위한 영어논문 작성법)

    • 150년 하버드 글쓰기 비법 / 송숙희

• R&D Tools

  • Cloud Computing - Amazon Web Service (https://aws.amazon.com)

  • MEG/EEG Analysis & Visualization (https://mne.tools)

  • GPU Platform - PyTorch (https://pytorch.org)

  • Machine Learning Package - Scikit-Learn - Machine Learning in Python (https://scikit-learn.org)

  • Spiking Neural Networks Package - snnTorch (https://snntorch.readthedocs.io/)

  • Large Language Model - ChatGPT Plut (https://chat.openai.com/auth/login)

  • Large Language Model for Documents - SciSpace (https://typeset.io)