Scopus	https://www.scopus.com/authid/detail.uri?authorId=57218147465

ResearchGate	https://www.researchgate.net/profile/Muthu-Subash-Kavitha-2

GoogleScholar	https://scholar.google.com/citations?user=QgdtEqQAAAAJ&hl=en

研究キーワード	research interests	Artificial Intelligence, Deep Learning Algorithms, Image processing, Image Analysis and Recognition, Computer-aided Diagnosis, Computer Vision	Artificial Intelligence, Deep Learning Algorithms, Image processing, Image Analysis and Recognition, Computer-aided Diagnosis, Computer Vision

研究分野	research research_areas	生命、健康、医療情報学,ソフトコンピューティング,知覚情報処理,知能情報学	Biological, health, and medical informatics,Soft computing,Perceptual information processing,Intelligent informatics

学歴	education	2009年 － 2012年 Ph.D. Graduate School of Engineering, Hiroshima University, Japan Department of Information Engineering 2009 － 2012 Ph.D. Graduate School of Engineering, Hiroshima University, Japan Department of Information Engineering

経歴	experience	2024年05月 － 長崎大学 Associate Professor (Tenured) 2021年04月 － 2024年04月 School of Information and Data Sciences, Nagasaki University, Japan Assistant Professor 2020年10月 － 2021年03月 Graduate School of Advanced Science and Engineering, Pattern Recognition and Machine Learning, Hiroshima University, Japan 2020年08月 － 2020年09月 Graduate School of Advanced Science and Engineering, Pattern Recognition and Machine Learning,Hiroshima University, Japan 2018年08月 － 2020年07月 Department of Information Engineering, Pattern Recognition and Machine Learning, Hiroshima University, Japan 2017年 － 2018年 School of Medicine, Department of Nuclear Medicine, Kyungpook National University, Korea 2015年 － 2017年 School of Electronics & Engineering, Department of Computer Vision and Image Processing, Kyungpook National University, Korea 2012年 － 2015年 School of Medicine, Department of Dentomaxillofacial radiology, Seoul National University, Korea 2024/05 － School of Information and Data Sciences, Nagasaki University, Japan Associate Professor (Tenured) 2021/04 － 2024/04 School of Information and Data Sciences, Nagasaki University, Japan Assistant Professor 2020/10 － 2021/03 Graduate School of Advanced Science and Engineering, Pattern Recognition and Machine Learning, Hiroshima University, Japan 2020/08 － 2020/09 Graduate School of Advanced Science and Engineering, Pattern Recognition and Machine Learning,Hiroshima University, Japan 2018/08 － 2020/07 Department of Information Engineering, Pattern Recognition and Machine Learning, Hiroshima University, Japan 2017 － 2018 School of Medicine, Department of Nuclear Medicine, Kyungpook National University, Korea 2015 － 2017 School of Electronics & Engineering, Department of Computer Vision and Image Processing, Kyungpook National University, Korea 2012 － 2015 School of Medicine, Department of Dentomaxillofacial radiology, Seoul National University, Korea

委員歴	committee memberships	2024年06月 － Vellore Institute of Technology, Chennai, India Research Advisory Committee member at center for Cyber Physical Systems 2021年04月 － Nagasaki University International Committee 2016年12月 － International Association of Engineers 2012年06月 － 2015年12月 IEEE Computer Society 2022年01月 － Information Processing Society of Japan 2022年01月 － The Japanese Society for Artificial Intelligence 2021年12月 － The Institute of Electronics, Information and Communication Engineers 2024/06 － Vellore Institute of Technology, Chennai, India Research Advisory Committee member at center for Cyber Physical Systems 2021/04 － Nagasaki University International Committee 2016/12 － International Association of Engineers 2012/06 － 2015/12 IEEE Computer Society 2022/01 － Information Processing Society of Japan 2022/01 － The Japanese Society for Artificial Intelligence 2021/12 － The Institute of Electronics, Information and Communication Engineers

所属学協会	association memberships

受賞	awards	2018年08月 Hiroshima University JSPS International Fellowship for Research 2017年09月 Kyungpook National University, Brain Korea 21Plus 2017年01月 Hiroshima University JSPS Visiting Researcher 2015年09月 Kyungpook National University, Brain Korea 21 Research Fellowship 2009年04月 Hiroshima University JASSO Doctoral training Grant 2018年08月 Hiroshima University JSPS International Fellowship for Research 2017年09月 Kyungpook National University, Brain Korea 21Plus 2017年01月 Hiroshima University JSPS Visiting Researcher 2015年09月 Kyungpook National University, Brain Korea 21 Research Fellowship 2009年04月 Hiroshima University JASSO Doctoral training Grant

論文	papers	iReasoner: Trajectory-Aware Intrinsic Reasoning Supervision for Self-Evolving Large Multimodal Models Meghana Sunil,Venmathimaran Manikandarajan,Muthu Subash Kavitha The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) 2026年07月 Can We Go Beyond Visual Features? Neural Tissue Relation Modeling for Relational Graph Analysis in Non-Melanoma Skin Histology Shravan Venkatraman,Muthu Subash Kavitha,Joe Dhanith P R.,V Manikandarajan,Jia Wu CVPR, PHAROS AI Factory for Medical Imaging & Healthcare workshop 2026年06月 TIDE: Two-Stage Inverse Degradation Estimation with Guided Prior Disentanglement for Underwater Image Restoration Shravan Venkatraman,Rakesh Raj Madavan,Pavan Kumar S.,Muthu Subash Kavitha CVPR, New Trends in Image Restoration and Enhancement workshop 2026年06月 Letter to the Editor: Magnetic resonance imaging-based deep learning radiomics for preoperative risk stratification in pediatric hepatoblastoma Ujjayita Chowdhury,Atharva A Mahajan,Muthu Subash Kavitha,Ramya Lakshmi Rajendran,Prakash Gangadaran,Byeong-Cheol Ahn World Journal of Radiology 18巻4号 2026年04月28日 Advanced attention-enhanced model for precise polyp detection in colorectal cancer screening P. R. Sriram,Muthu Subash Kavitha,S. P. Syed Ibrahim Signal, Image and Video Processing 20巻3号 2026年03月06日 1227 Quantitative Assessment of Disease Status in Chronic Lymphocytic Leukemia Using Artificial Intelligence (AI)-Assisted Peripheral Blood Smear Image Analysis Jingchun Liu,Yun Gong,Xiaoping Sun,Amaris Shi,Xin Han,Jeffrey Liu,Pinfeng Huang,Kavitha Muthu Subash,Wei J. Wang,Eric (Hao Gang) Chen,L. Jeffrey Medeiros,Wei Wang,Jia Wu,Zhihong Hu Laboratory Investigation 106巻3号105519頁-105519頁 2026年03月 Semantic and temporal-aware hybrid embedding for transformer-based sequential recommendation Smriti Vipin Madangarli,G. Suganeshwari,S. P. Syed Ibrahim,Muthu Subash Kavitha,Norio Setozaki Artificial Intelligence Review 2026年02月11日 Artificial Intelligence for Road Anomaly Detection: A Review Rohit Samanta,Amutha Sadasivan,Muthu Subash Kavitha,Surendiran Balasubramanian WIREs Data Mining and Knowledge Discovery 16巻1号 2026年01月05日 Multi-domain Image Translation with Spatial and Channel Attention for MRI Modality Synthesis. Perichiappan, Kavitha MS, Balaji International Conference on Data, Energy and Communication Networks (DECoN), 2025 (Accepted) 2025年12月 Hierarchical graph-guided contextual representation learning for Neurodegenerative pattern recognition in MRI Shravan Venkatraman,Joe Dhanith P.R.,Muthu Subash Kavitha Computers in Biology and Medicine 199巻111276頁-111276頁 2025年12月 iReasoner: Trajectory-Aware Intrinsic Reasoning Supervision for Self-Evolving Large Multimodal Models Meghana Sunil,Venmathimaran Manikandarajan,Muthu Subash Kavitha The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) 2026/07 Can We Go Beyond Visual Features? Neural Tissue Relation Modeling for Relational Graph Analysis in Non-Melanoma Skin Histology Shravan Venkatraman,Muthu Subash Kavitha,Joe Dhanith P R.,V Manikandarajan,Jia Wu CVPR, PHAROS AI Factory for Medical Imaging & Healthcare workshop 2026/06 TIDE: Two-Stage Inverse Degradation Estimation with Guided Prior Disentanglement for Underwater Image Restoration Shravan Venkatraman,Rakesh Raj Madavan,Pavan Kumar S.,Muthu Subash Kavitha CVPR, New Trends in Image Restoration and Enhancement workshop 2026/06 Letter to the Editor: Magnetic resonance imaging-based deep learning radiomics for preoperative risk stratification in pediatric hepatoblastoma Ujjayita Chowdhury,Atharva A Mahajan,Muthu Subash Kavitha,Ramya Lakshmi Rajendran,Prakash Gangadaran,Byeong-Cheol Ahn World Journal of Radiology 18.4. 2026/04/28 Advanced attention-enhanced model for precise polyp detection in colorectal cancer screening P. R. Sriram,Muthu Subash Kavitha,S. P. Syed Ibrahim Signal, Image and Video Processing 20.3. 2026/03/06 1227 Quantitative Assessment of Disease Status in Chronic Lymphocytic Leukemia Using Artificial Intelligence (AI)-Assisted Peripheral Blood Smear Image Analysis Jingchun Liu,Yun Gong,Xiaoping Sun,Amaris Shi,Xin Han,Jeffrey Liu,Pinfeng Huang,Kavitha Muthu Subash,Wei J. Wang,Eric (Hao Gang) Chen,L. Jeffrey Medeiros,Wei Wang,Jia Wu,Zhihong Hu Laboratory Investigation 106.3.105519-105519 2026/03 Semantic and temporal-aware hybrid embedding for transformer-based sequential recommendation Smriti Vipin Madangarli,G. Suganeshwari,S. P. Syed Ibrahim,Muthu Subash Kavitha,Norio Setozaki Artificial Intelligence Review 2026/02/11 Artificial Intelligence for Road Anomaly Detection: A Review Rohit Samanta,Amutha Sadasivan,Muthu Subash Kavitha,Surendiran Balasubramanian WIREs Data Mining and Knowledge Discovery 16.1. 2026/01/05 Multi-domain Image Translation with Spatial and Channel Attention for MRI Modality Synthesis. Perichiappan, Kavitha MS, Balaji International Conference on Data, Energy and Communication Networks (DECoN), 2025 (Accepted) 2025/12 Hierarchical graph-guided contextual representation learning for Neurodegenerative pattern recognition in MRI Shravan Venkatraman,Joe Dhanith P.R.,Muthu Subash Kavitha Computers in Biology and Medicine 199.111276-111276 2025/12 さらに表示する more

MISC

Continuous measurement of the mandibular cortical bone in dental panoramic radiographs for the diagnosis of osteoporosis. Kavitha MS,Li L,Samopa F,Asano A,Taguchi A Proceedings of IEICE: Topical meeting on Medical Imaging, 110巻195号MI2010頁-53頁 2010年09月 Continuous measurement of the mandibular cortical bone in dental panoramic radiographs for the diagnosis of osteoporosis. Kavitha MS,Li L,Samopa F,Asano A,Taguchi A Proceedings of IEICE: Topical meeting on Medical Imaging, 110.195.MI2010-53 2010/09

書籍等出版物	books	The impact of COVID-19 on International Students and the support provided by Nagasaki University: a study based on the results of a Questionnaire survey Nurgaliyeva Lyailya,Suk Sunhee,Tomoko Kiyota,Miyuki Tada,Muthu Subash Kavitha Multicultural Social Research 2022年03月 The impact of COVID-19 on International Students and the support provided by Nagasaki University: a study based on the results of a Questionnaire survey Nurgaliyeva Lyailya,Suk Sunhee,Tomoko Kiyota,Miyuki Tada,Muthu Subash Kavitha Multicultural Social Research 2022/03

講演・口頭発表等	conference	Artificial Intelligence bridges the gap between human and machine Muthu Subash Kavitha Symposium on Cutting Edge Issues in Spatial Econometrics and Image Processing: Missing data, Casual Inference and Machine learning 2022年03月02日 2022年03月02日 2022年03月03日 AI and Deep Learning in Medical Image Analysis Muthu Subash Kavitha 1st NUNU miniFORUM 2025 "Transforming Diagnostics: Cutting-Edge AI, Machine Learning & Statistical Innovation in Laboratory Medicine and Health Diagnostics" 2025年05月29日 Regularizers in convolution neural network improve the medical domain analysis Muthu Subash Kavitha NU-ISI Biomedical Data Science Online Workshop 2022年03月01日 Enhancing Performance of Deep Networks for Medical Images using Regularizers Muthu Subash Kavitha Workshop on Analytical tools for Image Processing 2022年02月16日 Desire weight learning with class-variant loss for Imbalanced segmentation Muthu Subash Kavitha Symposium on New Developments in Methodologies and Applications in Data Science and Statistics. 2021年12月04日 Artificial Intelligence bridges the gap between human and machine Muthu Subash Kavitha Symposium on Cutting Edge Issues in Spatial Econometrics and Image Processing: Missing data, Casual Inference and Machine learning 2022/03/02 2022/03/02 2022/03/03 AI and Deep Learning in Medical Image Analysis Muthu Subash Kavitha 1st NUNU miniFORUM 2025 "Transforming Diagnostics: Cutting-Edge AI, Machine Learning & Statistical Innovation in Laboratory Medicine and Health Diagnostics" 2025/05/29 Regularizers in convolution neural network improve the medical domain analysis Muthu Subash Kavitha NU-ISI Biomedical Data Science Online Workshop 2022/03/01 Enhancing Performance of Deep Networks for Medical Images using Regularizers Muthu Subash Kavitha Workshop on Analytical tools for Image Processing 2022/02/16 Desire weight learning with class-variant loss for Imbalanced segmentation Muthu Subash Kavitha Symposium on New Developments in Methodologies and Applications in Data Science and Statistics. 2021/12/04

担当経験のある項目	teaching experience	Preparatory course for research-Technical English Ⅳ,Data Science and Statistics,Real-world Problem Solving Project,Artificial Intelligence Theory and hands-on lab sessions.,Deep learning Techniques and Algorithms.	Preparatory course for research-Technical English Ⅳ,Data Science and Statistics,Real-world Problem Solving Project,Artificial Intelligence Theory and hands-on lab sessions.,Deep learning Techniques and Algorithms.

Works

競争的資金等の研究課題	research grants	Artificial intelligence research in the field of medical and industrial big data, Exchange Program Nagasaki University 2022年09月 - 研究代表者 継続的な虚血性脳卒中評価のためのデータ節約型自己教師型深層学習システム 日本学術振興会 科学研究費助成事業 2024年04月 - 2027年03月 Self Supervised AI model in plant growth analysis. Joint research with the Institute of Resource Plant Science, Okayama University. 2023年04月 - 2024年03月 アルツハイマー病診断のための深層学習によるＰＥＴ画像解析 日本学術振興会 科学研究費助成事業 特別研究員奨励費 2018年10月 - 2021年03月 研究分担者 Artificial intelligence research in the field of medical and industrial big data, Exchange Program Japan Science and Technology agency- Sakura Science Program 2022/09 - principal_investigator A data-saving and self-supervised deep learning system for continuous ischemic stroke assessment Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research 2024/04 - 2027/03 Self Supervised AI model in plant growth analysis. Joint research with the Institute of Resource Plant Science, Okayama University. 2023/04 - 2024/03 PET image analysis by deep learning for diagnosis of Alzheimer's disease Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for JSPS Fellows 2018/10 - 2021/03 coinvestigator

特許	patents	Artificial intelligence system for lymph node metastases detection for thyroidectomized papillary thyroid cancer (Granted) Kavitha MS,Lee C-H,Shibudas KS,Anh B-C 2018KR 2018年10月04日 Automatic stem cells condition assessment system Kavitha MS,Kurita T,Park S-Y,Anh B-C,Chien S-I 2017KR 2017年06月09日 Computational system and method to identify cancer causing genes, recording medium for performing the method. Ganesh Kumar P,Kavitha MS,Anh B-C 2016-0177-KR] 2016年06月29日 Apparatus for assisting diagnosis of osteoporosis and program for diagnosis of osteoporosis Asano A,Kavitha MS,Li L,Samopa F,Taguchi A Artificial intelligence system for lymph node metastases detection for thyroidectomized papillary thyroid cancer (Granted) Kavitha MS,Lee C-H,Shibudas KS,Anh B-C 2018KR 2018/10/04 Automatic stem cells condition assessment system Kavitha MS,Kurita T,Park S-Y,Anh B-C,Chien S-I 2017KR 2017/06/09 Computational system and method to identify cancer causing genes, recording medium for performing the method. Ganesh Kumar P,Kavitha MS,Anh B-C 2016-0177-KR] 2016/06/29 Apparatus for assisting diagnosis of osteoporosis and program for diagnosis of osteoporosis Asano A,Kavitha MS,Li L,Samopa F,Taguchi A

社会貢献活動	social contribution

メディア報道	media_coverage

学術貢献活動	academic_contribution	(https://invite.temjaiservices.com/1st-nunu-miniforum-2025) 企画立案・運営等 https://invite.temjaiservices.com/1st-nunu-miniforum-2025/ 2025年05月29日 - Advisory Committee- International Conference on Recent Trends in Advanced Computing (ICRTAC'24) 学術調査立案・実施 Vellore Institute of Technology, India 2024年11月14日 - Applied Sciences-MDPI 審査・評価 2022年05月 - IW-FCV2022, The 28th International Workshop on Frontiers of Computer Vision パネル司会・セッションチェア等 Hiroshima University, Japan 2022年02月21日 - International Conference on Sustainable Information Engineering and Technology パネル司会・セッションチェア等 Brawijaya University, Indonesia 2021年09月13日 - Journal of Computer Assisted Radiology and Surgery 審査・評価,査読 2016年02月05日 - American Journal of Artificial Intelligence 監修 2020年 - IEEE Artificial Intelligence in Engineering 審査・評価,査読 2019年12月09日 - Neural Information Processing 審査・評価 2019年10月04日 - Journal of Computers in Biology and Medicine 審査・評価 2019年10月01日 - 1st NUNU miniFORUM 2025 "Transforming Diagnostics: Cutting-Edge AI, Machine Learning & Statistical Innovation in Laboratory Medicine and Health Diagnostics" planning_etc Co-chair 2025/05/29 - Advisory Committee- International Conference on Recent Trends in Advanced Computing (ICRTAC'24) academic_research_planning Vellore Institute of Technology, India 2024/11/14 - Applied Sciences-MDPI review 2022/05 - IW-FCV2022, The 28th International Workshop on Frontiers of Computer Vision panel_chair_etc Hiroshima University, Japan 2022/02/21 - International Conference on Sustainable Information Engineering and Technology panel_chair_etc Brawijaya University, Indonesia 2021/09/13 - Journal of Computer Assisted Radiology and Surgery review,peer_review 2016/02/05 - American Journal of Artificial Intelligence supervision 2020 - IEEE Artificial Intelligence in Engineering review,peer_review 2019/12/09 - Neural Information Processing review 2019/10/04 - Journal of Computers in Biology and Medicine review 2019/10/01 - さらに表示する more

その他	etc	2021年12月 - Global Seminar B- Information Engineering Artificial Intelligence Bridges the Gaps between Human and Machine 2025年03月 - 2025年05月 海外の教授の訪問- Research collaboration and Inviting overseas Professor to Kavitha's lab Inviting Asst. Prof. Dr. Kittisak Thawnashom, Department of Medical Technology, Faculty of Allied Health Sciences,, Naresuan University, Thailand. Research collaboration meeting and discussion for future activities. 2025年01月 - 2025年03月 Incremental learning to mitigate catastrophic forgetting in neural network architecture Three plus one program (TPO)- Mentoring a student from VIT for research guidance for final year thesis 2021/12 - Global Seminar B- Information Engineering Artificial Intelligence Bridges the Gaps between Human and Machine 2025/03 - 2025/05 Research collaboration and Inviting overseas Professor to Kavitha's lab Inviting Asst. Prof. Dr. Kittisak Thawnashom, Department of Medical Technology, Faculty of Allied Health Sciences,, Naresuan University, Thailand. Research collaboration meeting and discussion for future activities. 2025/01 - 2025/03 Incremental learning to mitigate catastrophic forgetting in neural network architecture Three plus one program (TPO)- Mentoring a student from VIT for research guidance for final year thesis