I attended the 2026 Annual Academic Conference of the Reliability Branch of the Operations Research Society of China at Beijing Forestry University and presented “Modeling Multivariate Degradation with Time-Varying Mean-Variance Dynamics for Reliability Assessment.”
Presented an online seminar at Reliability Home on “Reparameterized Inverse Gaussian Process and Its Applications.” Video
The paper “Modeling two-scale degradation with heterogeneity: A unified random-effects inverse Gaussian framework” was accepted by IISE Transactions.
The paper “From Statistical Modeling to AI-Integrated Inverse Gaussian Process: A Comprehensive Review for Prognostics and Health Management” was accepted by Engineering Management.
2025
Our group’s Chinese monograph 随机退化过程与统计建模 was published by Science Press.
I attended the 2025 Annual Academic Conference of the Reliability Branch of the Operations Research Society of China and presented “Reparameterized Inverse Gaussian Process and Its Applications.”
I attended SRSE 2025, chaired a special session on stochastic degradation process and statistical modeling, and presented “Reparameterized Inverse Gaussian Process and Its Applications.”
I received the Innovation and Practice Star award at the Yangtze River Delta Forum on Scientific Ethics and Academic Conduct, and was invited to share my research experience at Shanghai Jiao Tong University.
I presented at several meetings, including the Industrial Engineering Branch Annual Conference in Yinchuan, the Reliability Engineering Branch Annual Conference in Yan’an, and the Korea-China Joint Conference on Quality in Henan.
I officially started my postdoctoral position at the School of Economics and Management, Nanjing University of Science and Technology.
I successfully defended my doctoral dissertation, “Research on the Reparameterized Inverse Gaussian Process and Its Extension Models.”
The paper “Strategic integration of adaptive sampling and ensemble techniques in federated learning for aircraft engine remaining useful life prediction” was accepted by Applied Soft Computing.
2024
I passed the preliminary defense of my doctoral dissertation and was expected to receive the Ph.D. degree in statistics in June.
I received the National Scholarship for Ph.D. Students.
The paper “Multivariate reparameterized inverse Gaussian processes with common effects for degradation-based reliability prediction” was accepted by Journal of Quality Technology.
The paper “A Multivariate Student-t process model for dependent tail-weighted degradation data” was accepted by IISE Transactions.
My Google Scholar citations reached 100.
The paper “Remaining useful life prediction for two-phase degradation model based on reparameterized inverse Gaussian process” was accepted by European Journal of Operational Research.
Our paper “A prognostic driven predictive maintenance framework based on Bayesian deep learning” became a hot paper.
2023
My master’s thesis received the Zhejiang Provincial Award for Outstanding Practical Achievement by a Professional Degree Graduate; I also received an Excellent Paper Award at the Reliability Branch Annual Meeting.
I received funding from the China Scholarship Council for a one-year visit to the National University of Singapore.
The paper “A prognostic driven predictive maintenance framework based on Bayesian deep learning” was accepted by Reliability Engineering & System Safety.
2022
I received Best Student Paper awards at SRSE 2022 and the 6th Doctoral Forum on Statistics; the QTQM paper on progressive-stress accelerated life tests was accepted.
2021
I received the National Scholarship for Postgraduate Students, joined The Hong Kong Polytechnic University as a research assistant, and published my first SCI paper in Reliability Engineering & System Safety.
Before 2021
My team received awards in mathematical modeling competitions, and I served in student leadership at Wenzhou University.
论文“Modeling two-scale degradation with heterogeneity: A unified random-effects inverse Gaussian framework”被 IISE Transactions 接收。
论文“From Statistical Modeling to AI-Integrated Inverse Gaussian Process: A Comprehensive Review for Prognostics and Health Management”被 Engineering Management 接收。
论文“Strategic integration of adaptive sampling and ensemble techniques in federated learning for aircraft engine remaining useful life prediction”被 Applied Soft Computing 接收。
2024
通过博士学位论文预答辩，预计于六月获得统计学博士学位。
获得博士研究生国家奖学金。
论文“Multivariate reparameterized inverse Gaussian processes with common effects for degradation-based reliability prediction”被 Journal of Quality Technology 接收。
论文“A Multivariate Student-t process model for dependent tail-weighted degradation data”被 IISE Transactions 接收。
Google Scholar 引用次数达到 100。
论文“Remaining useful life prediction for two-phase degradation model based on reparameterized inverse Gaussian process”被 European Journal of Operational Research 接收。
论文“A prognostic driven predictive maintenance framework based on Bayesian deep learning”成为 hot paper。
2023
硕士学位论文获浙江省专业学位研究生优秀实践成果；同月参加中国运筹学会可靠性分会年会并获优秀论文奖。
获得国家留学基金委资助，计划赴新加坡国立大学访问一年。
论文“A prognostic driven predictive maintenance framework based on Bayesian deep learning”被 Reliability Engineering & System Safety 接收。
