JIANG XJ
Ph.D candidate of UCAS(SINAP)
Shanghai Institute of Applied Physics,CAS(SINAP)
University of Chinese Academic of Sciences(UCAS)
Biography
Artificial Intelligence(AI) is one of the most emerging fields of science and engineering. Since 1956, “artificial intelligence” is created, after more than 60 years of development, AI now encompasses a wide variety of subfields, ranging from general-purpose fields such as learning and perception to specialized fields such as playing chess, proving mathematical theorems, diagnosing diseases, autonomous driving and so on, becoming a broad interdisciplinary and frontier science.
I’m interested in machine learning, deep learning, computer vision, SIP, fault diagnosis. Now, my research is mainly focuses on fault diagnosis of Molten Salt Reactor based on deep learning.
I’m currently a Ph.D. candidate at University of Chinese Academy of Sciences. My Ph.D. thesis is mainly on deep learning and fault diagnosis in TMSR.
Interests
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Signal Processing
- Fault Diagnosis
- Nuclear Science and Technology
Education
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PhD in Nuclear Science and Engineering, 2019-
University of Chinese Academic Sciences
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MEng in Signal and Information Processing, 2018-2019
University of Science and Technology of China
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BSc in Applied Physics, 2014-2018
Njtech University
