I am working as a research assistant under Dr. Zhang Yan and a postgraduate assistant at the School of International Affairs, Beijing Institute of Technology.

First publication as co-author: "Textual and Numerical Data Fusion for Depression Detection: A Machine Learning Framework." The paper focuses on leveraging machine learning to integrate textual and numerical data for identifying the socioeconomic factors underlying depression, a global mental health challenge. Second publication as a first author; “Hybrid Approach for Enhancing Monkeypox Disease with Explainable AI: Integrating Deep Learning, Transfer Learning and Vision Transformer” The paper focuses on leveraging deep learning models, including Vision Transformer and hybrid frameworks, for accurate monkeypox diagnosis, utilizing Grad-CAM for model interpretability. Third Publication as a co-author : “Explainable Deep Transfer Learning Framework for Rice Leaf Disease Diagnosis and Classification”

During my study period.

I am currently pursuing a full-time Master's degree in Computer Science and Technology at BIT. Having completed my coursework, my research focuses on artificial intelligence, machine learning, and deep learning. Additionally, I work as a teaching assistant under Professor Zhang Yan. I have achieved a grade of 88% in my master's studies

Completed undergraduate studies at Yunnan University with a GPA of 3.61/4.00. excelled in rigorous academic coursework. secured top-tier academic accolades. I have achieved a grade of 89% in my undergraduate studies