Welcome to Applied AI Lab
of Dept. Software Engeeinering
at Jeonbuk National University
Our Topics are
SOTA AI
Prediction Diseases & Precision Medicine
Analysis of Health & Environmental Data
Analysis of Health & Environmental Data
NEWS & HISTORY
2025
06
윤수영(학부과정)학생이 학부연구생을 시작했습니다. 환영합니다!
배서진(학부과정)학생이 학부연구생을 시작했습니다. 환영합니다!
03
이진태(학부과정)학생이 학부연구생을 시작했습니다. 환영합니다!
권지민(학부과정)학생이 학부연구생을 시작했습니다. 환영합니다!
황해규(학부과정)학생이 학부연구생을 시작했습니다. 환영합니다!
현준서(석사과정)학생이 석사과정생을 시작했습니다. 환영합니다!
02
김민재(학부과정)학생이 학부연구생을 시작했습니다. 환영합니다!
현준서(학부과정)학부연구생이 졸업합니다.
2024
11
AI로 공기 정화·건강 관리하는 '에어스텔라' 플랫폼
(한국경제)
10
전북대 조재혁 교수, 국가연구개발사업 우수성과 20선 선정
(베리타스, 투데이안, 전북도민일보, 전민일보 등)
전북대 연구팀, 가짜뉴스 분류 하이브리드 모델 개발
(전북일보, 아이뉴스24, 투데이안 등)
조재혁 교수, 전북대학교 개교 77주년 미래인재상 대상 수상
김재홍(학부과정)학생이 학부연구생을 시작했습니다. 환영합니다!
09
김윤수(학부과정)학생이 학부연구생을 시작했습니다. 환영합니다!
Shi Ming(박사과정)학생이 박사과정생을 시작했습니다. 환영합니다!
05
권예원(학부과정)학생이 학부연구생을 시작했습니다. 환영합니다!
03
문기훈(학부과정)학생이 학부연구생을 시작했습니다. 환영합니다!
2023
06
전북대 조재혁 교수팀, 사물인터넷의 데이터 이상치 검출을 위한
인공지능 앙상블 알고리즘 개발
(매일경제, 베리타스 등)
05
전북대 조재혁 교수팀, 수질정화 예측 머신러닝 알고리즘 개발
(한국경제, 전북도민일도 등)
2022
12
현준서(학부과정)학생이 학부연구생을 시작했습니다. 환영합니다!
9
유서현(박사과정)학생이 박사과정생을 시작했습니다. 환영합니다!
Professor
Biography
Chairperson of the
- GFID (Ministry of Health and Welfare)
- Industrial Intelligence, AI semi-conductor & Next-gen sensors (Ministry of Trade, Industry and Energy)
- Package R&D AI (Ministry of Science and ICT)
- SBAS, Smart city (Ministry of Land, Infrastructure and Transport)
- e-Navigation Advisory Committee (Ministry of Oceans and Fisheries)
Head of Research at major IT companies (LG CNS)
2024 환경 R&D 우수성과 20선
전북대학교 77주년 미래인재상 대상 수상, 공과대학 우수교수상
2022-
Professor of
Department of Software Engineering &
Division of Electronics and Information Engineering
at Jeonbuk National University, Jeonju, Korea
2019-2022
Director of AI Data Research Cetre and Professor of
Eletronic Information Engineering (IT Convergence Major)
at Soongsil University, Seoul, Korea
2003-2019
National R&D Project Pre-feasibility Study and Project Coordination PM, KISTEP
2002-2003
Technology leader, LG CNS
RESEARCHERS
Hye-Shin Kim
Post-Doc (2024 Jul-)
Research: Biological AI, AI-driven Microbiology/Immunology
Email: kimhyes@jbnu.ac.kr
Eunkyung Sin
Researcher (2025 May-)
Email:
STUDENTS
Seohyun Yoo
PhD Student (2022 Sep-)
Research: Natural Language Processing, Artificial Intelligence, Machine Learning, Meta-heuristics, Depp Learning, Environmental Studies
Email: ysh3575@jbnu.ac.kr
Shi Ming
PhD Student (2024 Sep-)
Research: Graph Neural Network(including Application), Combinatorial Optimization
Email: sming0408@163.com
Joonseo Hyeon
Master Student (2025 Mar-)
Research: Natural Language Processing, AI Agent, Multimodal Model, Vision Language Model
Email: hjs40111@gmail.com
Kihoon Moon
Undergraduate Assistant (2024 Sep-)
Research: Time-series Forecasting, Medical AI, Computer Vision
Email: mnmn0825@naver.com
Yewon Kwon
Undergraduate Assistant (2024 May-)
Research:
Email: helloalal23@jbnu.ac.kr
Yunsu Kim
Undergraduate Assistant (2024 Sep-)
Research:
Email: yunsu3375@jbnu.ac.kr
Jaehong Kim
Undergraduate Assistant (2024 Oct-)
Research: Time-series Forecasting
Email: 202311518@jbnu.ac.kr
Minjae Kim
Undergraduate Assistant (2025 Feb-)
Research: Machine Learning, Time-series
Email: min_jae@outlook.kr
Jimin Kwon
Undergraduate Assistant (2025 Mar-)
Research: Efficient AI, AI Miniaturization
Email: fnfn0923@naver.com
Haegyu Hwang
Undergraduate Assistant (2025 Mar-)
Research:
Email: hkyu03013@jbnu.ac.kr
Jintae Lee
Undergraduate Assistant (2025 Mar-)
Research:
Email:
Sooyung Yoon
Undergraduate Assistant (2025 Jun-)
Research:
Email:
Seojin Bae
Undergraduate Assistant (2025 Jun-)
Research:
Email:
Who is the next?
We are always open to you
Who is the next?
We are always open to you
Alumni
To be Determined
We wish you soar
To be Determined
We wish you soar
To be Determined
We wish you soar
Research
Recent Publications
· SCI IF 10% 저널에 30편 이상 논문 게재
· 생성형 AI, 자율학습, 머신러닝 등 관련 논문 다수 게재
· 의료 및 스마트 시티 분야에서 AI 응용 연구 논문 발표
· AI 기반 다학제적 연구를통한 첨단 기술 논문 다수 출판
Patent & Technology Transfer
· 2023년 이후 특허 출원 22건
- AI, IoT 및 환경 모니터링 관련 특허 집중
- 실시간 재난 대응 시스템 및 AI 기반 기술 다수 등록
- 환경 오염 및 식품공정 관리시스템 분야 특허 확대
· IoT 기반 빅데이터 수집 및 관리 기술 관련 기술 이전
· 환경유해인자 및 건강영향인자 모니터링 기술의 상용화
· 소프트웨어 저작권 등록 16건
- AI 및 데이터 기반 환경 모니터링 관련 소스코드 다수 등록
· 웨어러블 디바이스 및 실내 공기질 관리 소프트웨어 등록
R&D Projects
(2021-2024) IoT 기반 환경 보건 빅데이터 시스템 구축
(환경부, 60억 원, 3+1년)
(2021-2023) AI 플랫폼 및 디지털 오픈랩 구축
(과학기술정보통신부, 20억 원, 5년)
(2020-2024) 센서 기반 SoC
(산업통상자원부, 3억 원, 4년)
(2019-2023) 5G 기반 스마트 센서 플랫폼
(과학기술정보통신부, 50억 원, 5년)
(2019-2021) 의료 공통 데이터 모델
(보건복지부, 5억 원, 3년)
Publications
- Second Half of 2025
- First Half of 2025
- Jakeer, S., Reddy, S., Thameem Basha, H., Cho, J. & Sathishkumar, V. (2025). Activation energy and Coriolis force impact on three-dimensional dusty nanofluid flow containing gyrotactic microorganisms: Machine learning and numerical approach. Nanotechnology Reviews, 14(1), 20250179.Yoo, S., Jeon, E., Hyeon, J. & Cho, J. (2025). Adaptive ensemble techniques leveraging BERT based models for multilingual hate speech detection in Korean and english. Scientific Reports, 15, 19844Alohali, M. A., Alqahtani, H., Ebad, S. A., Alotaibi, F. A., & Cho, J. (2025). Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks. PeerJ Computer Science, 11, e2853.Mazroa, A. A., Eltahir, M. M., Ebad, S. A., Alotaibi, F. A., Venkatachalam K5, & Cho, J. (2025).EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection. PeerJ Computer Science, 11, e2811.Rajesh, A., DineshKumar, R., Shanmugam, S., Cho, J., & Easwaramoorthy, S. V. (2025). Enhancing security in social computing systems through knowledge learning techniques. Egyptian Informatics Journal, 30, 100675.Parthasarathi, P., Alshahrani, H. M., Venkatachalam, K., & Cho, J. (2025). Variational quantum classifier-based early identification and classification of chronic kidney disease using sparse autoencoder and LASSO shrinkage. PeerJ Computer Science, 11, e2789.Kande, G. B., Nalluri, M. R., Manikandan, R., Cho, J., & Veerappampalayam Easwaramoorthy, S. (2025). Multi scale multi attention network for blood vessel segmentation in fundus images. Scientific Reports, 15(1), 3438.KalaiSelvi, B., Anandan, P., Easwaramoorthy, S. V., & Cho, J. (2025). IoT-driven cancer prediction: Leveraging AI for early detection of protein structure variations. Alexandria Engineering Journal, 118, 21-35. (JCR 8.3%)Chinnasamy, R., Subramanian, M., Easwaramoorthy, S. V., & Cho, J. (2025). Deep Learning-driven Methods for Network-based Intrusion Detection Systems: A Systematic Review. ICT Express.
- Second Half of 2024
- Geeitha, S., Prabha, K. R., Cho, J., & Easwaramoorthy, S. V. (2024). Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival. Scientific Reports, 14(1), 31641.Sangeetha, S. K. B., Mathivanan, S. K., Muthukumaran, V., Cho, J., & Easwaramoorthy, S. V. (2024). An Empirical Analysis of Transformer-Based and Convolutional Neural Network Approaches for Early Detection and Diagnosis of Cancer Using Multimodal Imaging and Genomic Data. IEEE Access.Mathivanan, S. K., Rajadurai, H., Cho, J., & Easwaramoorthy, S. V. (2024). A multi-modal geospatial–temporal LSTM based deep learning framework for predictive modeling of urban mobility patterns. Scientific Reports, 14(1), 31579.Banumathy, D., Vetriselvi, T., Venkatachalam, K., & Cho, J. (2024). Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction. PeerJ Computer Science, 10, e2498.Selvaraj, J., Nakeeb, N. A., Cho, J., & Easwaramoorthy, S. V. (2024). Enhancing Next-Generation Wireless Networks Using Preemptive Energy Conservation Technique. IEEE Access.Sangeetha, S. B., Selvarathi, C., Mathivanan, S. K., Cho, J., & Easwaramoorthy, S. V. (2024). Secure Healthcare Access Control System (SHACS) for Anomaly Detection and Enhanced Security in Cloud-Based Healthcare Applications. IEEE Access.Anusuya, P., Vanitha, C. N., Cho, J., & Easwaramoorthy, S. V. (2024). A comprehensive review of sensor node deployment strategies for maximized coverage and energy efficiency in wireless sensor networks. PeerJ Computer Science, 10, e2407.Selvaraj, J., Nakeeb, N. A., Cho, J., & Easwaramoorthy, S. V. (2024). Enhancing Next-Generation Wireless Networks Using Preemptive Energy Conservation Technique. IEEE Access.Sangeetha, S. B., Selvarathi, C., Mathivanan, S. K., Cho, J., & Easwaramoorthy, S. V. (2024). Secure Healthcare Access Control System (SHACS) for Anomaly Detection and Enhanced Security in Cloud-Based Healthcare Applications. IEEE Access.Anusuya, P., Vanitha, C. N., Cho, J., & Easwaramoorthy, S. V. (2024). A comprehensive review of sensor node deployment strategies for maximized coverage and energy efficiency in wireless sensor networks. PeerJ Computer Science, 10, e2407.Karthik, R., Inamdar, R., Sundarr, S. K., Cho, J., & Sathishkumar, V. E. (2024). Point Cloud-based 3D Object Classification with Non local attention and Lightweight Convolution Neural Networks. IEEE Access.Karthik, R., Menaka, R., Atre, S., Cho, J., & Easwaramoorthy, S. V. (2024). A Hybrid Deep Learning Approach for Skin Cancer Classification using Swin Transformer and Dense Group Shuffle Non-Local Attention Network. IEEE Access.Kulandaivel, R., Ramachandran, M., Veerappampalayam Easwaramoorthy, S., & Cho, J. (2024). Gauss Markov and Flow Balanced Vector Radial Learning network traffic classification on IoT with SDN. PloS one, 19(10), e0308052.Karthik, R., Ajay, A., Bisht, A. S., Cho, J., & Easwaramoorthy, S. V. (2024). An Explainable Deep Learning Network for Environmental Microorganism Classification using Attention-Enhanced Semi-Local features. IEEE Access.Geeitha, S., Ravishankar, K., Cho, J., & Easwaramoorthy, S. V. (2024). Integrating cat boost algorithm with triangulating feature importance to predict survival outcome in recurrent cervical cancer. Scientific Reports, 14(1), 19828. (JCR 18.3%)Sangeetha, S. K. B., Immanuel, R. R., Mathivanan, S. K., Cho, J., & Easwaramoorthy, S. V. (2024). An empirical analysis of multimodal affective computing approaches for advancing emotional intelligence in artificial intelligence for healthcare. IEEE Access.Lee, J., Chang, H. E., Cho, J., Yoo, S., & Hyeon, J. (2024). Analysis of issues related to nursing law: Examination of news articles using topic modeling. Plos one, 19(8), e0308065.현준서, 유서현, & 조재혁. (2024). Bayesian Optimization-HyperBand 를 적용한 효과적인 가짜 뉴스 탐지모델의 성능 평가와 분석. JOURNAL OF PLATFORM TECHNOLOGY, 12(4), 55-66.Challa, L. S., Ragoju, R., Veerappampalayam Easwaramoorthy, S., & Cho, J. (2024). Linear instability of the vertical throughflow in a porous layer saturated by a power-law fluid with variable gravity effect. Open Physics, 22(1), 20240049.
- First Half of 2024
- Ramanan, G., RR, N. R., Suresh, S., Cho, J., & Sathishkumar, V. E. (2024). Effect of Al7075 and activated carbon reinforced composite on optimizing WEDM responses. Materials Research Express, 11(5), 056517.Nithya, K., Krishnamoorthi, M., Easwaramoorthy, S. V., Dhivyaa, C. R., Yoo, S., & Cho, J. (2024). Hybrid approach of deep feature extraction using BERT–OPCNN & FIAC with customized Bi-LSTM for rumor text classification. Alexandria Engineering Journal, 90, 65-75. (JCR 8.3%)Reddy, S. R. R., Jakeer, S., Sathishkumar, V. E., Basha, H. T., & Cho, J. (2024). Numerical study of TC4-NiCr/EG+ Water hybrid nanofluid over a porous cylinder with Thompson and Troian slip boundary condition: Artificial neural network model. Case Studies in Thermal Engineering, 53, 103794. (JCR 7.1%)
- Second Half of 2023
- Lai, T.T., Tran, T.P., Cho, J., & Yoo, M. (2023). DoS attack detection using online learning techniques in wireless sensor networks. Alexandria Engineering Journal. (JCR 8.3%)Subramanian, M., Sathiskumar, V. E., Deepalakshmi, G., Cho, J., & Manikandan, G. (2023). A survey on hate speech detection and sentiment analysis using machine learning and deep learning models. Alexandria Engineering Journal, 80, 110-121. (JCR 8.3%)Subramanian, M., Cho, J., Veerappampalayam Easwaramoorthy, S., Murugesan, A., & Chinnasamy, R. (2023). Enhancing sustainable transportation: AI-Driven bike demand forecasting in smart cities. Sustainability, 15(18), 13840.Sathishkumar, V. E., Vadivel, R., Cho, J., & Gunasekaran, N. (2023). Exploring the finite-time dissipativity of Markovian jump delayed neural networks. Alexandria Engineering Journal, 79, 427-437. (JCR 8.3%)Shanmugavadivel, K., Sathishkumar, V. E., Cho, J., & Subramanian, M. (2023). Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early detection. Ageing Research Reviews, 91, 102072. (JCR 0.9%)Vanitha, C. N., Easwaramoorthy, S. V., Krishna, S. A., & Cho, J. (2023). Efficient qualitative risk assessment of pipelines using relative risk score based on machine learning. Scientific reports, 13(1), 14918.Lai, T. T., Tran, T. P., Cho, J., & Yoo, M. (2023). Noise-Tolerant Data Reconstruction Based on Convolutional Autoencoder for Wireless Sensor Network. Applied Sciences, 13(18), 10090.Jakeer, S., Reddy, S. R. R., Easwaramoorthy, S. V., Basha, H. T., & Cho, J. (2023). Exploring the influence of induced magnetic fields and double-diffusive convection on carreau nanofluid flow through diverse geometries: a comparative study using numerical and ANN approaches. Mathematics, 11(17), 3687. (JCR 6.8%)
- First Half of 2023
- 현준서, & 조재혁. (2023). 단어-역문서 빈도 벡터화를 통한 한국 걸그룹의 음반 메타 정보 군집화. JOURNAL OF PLATFORM TECHNOLOGY, 11(3), 12-23.Neelakandan, S., Easwaramoorthy, S. V., Chinnasamy, A., & Cho, J. (2023). Fuzzy adaptive learning control network (FALCN) for image clustering and content-based image retrieval on noisy dataset. AIMS Mathematics, 8(8), 18314-18338. (JCR 8%)Subramanian, M., Sathishkumar, V. E., Cho, J., & Shanmugavadivel, K. (2023). Learning without forgetting by leveraging transfer learning for detecting COVID-19 infection from CT images. Scientific Reports, 13(1), 8516.Park, J., Seo, Y., & Cho, J. (2023). Unsupervised outlier detection for time-series data of indoor air quality using LSTM autoencoder with ensemble method. Journal of Big Data, 10(1), 66. (JCR 6.8%)Sathishkumar, V. E., Ramu, A. G., & Cho, J. (2023). Machine learning algorithms to predict the catalytic reduction performance of eco-toxic nitrophenols and azo dyes contaminants (Invited Article). Alexandria Engineering Journal, 72, 673-693. (JCR 8.3%)Anbukkarasi, S., Sathishkumar, V. E., Dhivyaa, C. R., & Cho, J. (2023). Enhanced feature model based hybrid neural network for text detection on signboard, Billboard and news tickers. IEEE Access, 11, 41524-41534.Sathishkumar, V. E., Cho, J., & Subramanian, M. Forest fire and smoke detection using deep learning-based learning without forgetting. Fire Ecol. 19, 9 (2023). (JCR 5.1%)Kang, M., Kim, S., Ryu, D., & Cho, J. (2023). Which Exceptions Do We Have to Catch in the Python Code for AI Projects?. International Journal of Software Engineering and Knowledge Engineering, 33(03), 375-394.Subramanian, M., Cho, J., Sathishkumar, V. E., & Naren, O. S. (2023). Multiple types of Cancer classification using CT/MRI images based on Learning without Forgetting powered Deep Learning Models. IEEE Access, 11, 10336-10354.
- 2022
- Kim, T., Kim, S., Ryu, D., & Cho, J. (2023). Deep tasks summarization for comprehending mixed tasks in a commit. International Journal of Software Engineering and Knowledge Engineering, 33(02), 207-229.Choi, S., & Cho, J. (2022). Novel feature extraction method for detecting malicious MQTT traffic using Seq2Seq. Applied Sciences, 12(23), 12306.
- 2021
- Choi, C., Jung, H., & Cho, J. (2021). An ensemble method for missing data of environmental sensor considering univariate and multivariate characteristics. Sensors, 21(22), 7595.Cho, J. (2022). Efficient Autonomous Defense System Using Machine Learning on Edge Device. Computers, Materials & Continua, 70(2).Kang, Y., Cho, J., & Park, Y. B. (2021). An empirical study of a trustworthy cloud common data model using decentralized identifiers. Applied Sciences, 11(19), 8984.Velusamy, B., Karunanithy, K., Sauveron, D., Akram, R. N., & Cho, J. (2021). Multi-objective function-based node-disjoint multipath routing for mobile ad hoc networks. Electronics, 10(15), 1781.Park, K., Chae, M., & Cho, J. H. (2021). Image pre-processing method of machine learning for edge detection with image signal processor enhancement. Micromachines, 12(1), 73.
- 2020
- Cho, J. H., & Lee, H. (2020). Dynamic topology model of Q-learning LEACH using disposable sensors in autonomous things environment. Applied Sciences, 10(24), 9037.Cho, J. H. (2020). Detection of smoking in indoor environment using machine learning. Applied Sciences, 10(24), 8912.Cho, J. H., & Lee, H. (2020). Optimization of machine learning in various situations using ICT-based TVOC sensors. Micromachines, 11(12), 1092.Cho, J. H., Kang, Y., & Park, Y. B. (2020). Secure delivery scheme of common data model for decentralized cloud platforms. Applied Sciences, 10(20), 7134.Cho, J., & Joo, W. (2020). Data clustering method using efficient fuzzifier values derivation. IEEE Access, 8, 124624-124632.
PATENT
- 2023.06.29.
- 이종 데이터 기반의 메타데이터 획득 장치 (등록)
- 2023.08.08.
- 실시간으로 재난상황을 감지하고 대응하는 재난 대응 시스템 (등록)
- 2023.11.30.
- 센서 데이터의 이상치 검출방법, 그 기록매체 및 장치 (출원)
- 2023.12.07.
- 텍스트 인식방법, 그 기록매체 및 장치 (출원)
- 2023.12.28.
- 산불 이미지에 대한 다중 클래스 분류 방법 및 시스템 (출원)
- 2023.12.21.
- 환경 오염 총량 제어 시스템 및 그 방법 (등록)
- 2024.04.17.
- DNA 기반 식품공정 관리 시스템 및 그 방법 (등록)
- 2024.08.08.
- IoT 기반 환경유해인자 및 건강영향인자 빅데이터 수집 관리 시스템 및 그 방법 (등록)AI 기반 가짜 뉴스 분류 장치 및 이의 동작 방법 (출원)
- 2024.10.10.
- 환경보건 모니터링 시스템 및 그 방법 (등록)
- 2024.12.12.
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OPENINGS
Openings
Master Program
PhD Program
Undergraduate Assistants (Junior, Senior)
Our Supporting & Benefits
1. Provide GPU Servers for AI and Data Analysis
2. Education for Data Analysis from Scratch
3. Support Incentives and Living Expenses for Full-time Graduate Students (discussion needed)
4. Support Participating Domestic/International Conferences
How to Apply?
Give under documents by E-mail
- CV (Possible work periods, personal skills, and motivation must be required)
- Official Transcript
- Cover Letter
CONTACT