Staff Introduction
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ムトゥ スバシュ カビタ Muthu Subash KAVITHA
- Emailkavithanagasaki-u.ac.jp- Position / Degree Institute of Integrated Science and Technology, Associate Professor
School of Information and Data Sciences, Associate Professor
Doctor of Engineering- Specialized Field Artificial Intelligence, Deep Learning Algorithms, Image processing, Image Analysis and Recognition, Computer-aided Diagnosis, Computer Vision- External Links researchmap
CV
| Apr.2012 | Dr.Eng., Graduate School of Engineering, Image Informatics and Machine Learning, Hiroshima University, Japan |
| Jul.2012 | Postdoctoral Fellow, School of Medicine, Seoul National University, Korea |
| Sep.2015 | Postdoctoral Fellow, School of Electronics & Engineering, Kyungpook National University, Korea |
| Sep.2017 | Professor, School of Medicine, Kyungpook National University, Korea |
| Aug.2018 | JSPS Fellow, Graduate School of Engineering, Pattern Recognition and Machine Learning, Hiroshima University, Japan |
| Oct.2020 | Assistant Professor, Graduate School of Advanced Science and Engineering, Pattern Recognition and Machine Learning, Hiroshima University, Japan |
| Apr.2021 | Assistant Professor, School of Information and Data Sciences, Nagasaki University, Japan |
Research Activities
Artificial Intelligence for Data Driven Decisions
The functioning of the human brain in the context of information acquisition and retrieval has influence the design of the deep neural network solutions to image object recognition. I have been involving in key retrieval information from huge amount of data in an intelligent way using deep neural network algorithms.
Imitating Neuroscience in Deep learning
Neural networks forget previously learned tasks when learning multiple tasks sequentially. In contrast brain can learn multiple tasks and can choose best solution when it interleaved to learn new task. In order to mimic brain, I have been studying the possible strategy of synaptic weight pushing in the network to prevent forgetting and optimize learning.
Educational Activities
Class
Information and Data Sciences：Technical English Ⅳ, Project Based Learning on Practical Problems A/B/C/D