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Da Teng, male, Ph.D. in Computer Science and Technology, Associate Professor, Master's Supervisor.

• 2009: Graduated from Jiangnan University with a Bachelor's degree in Computer Science and Technology.
• 2012: Graduated from University of Science and Technology of China (USTC) with a Master's degree in Computer Science and Technology.
• 2015: Graduated from China Academy of Railway Sciences with a Ph.D. in Computer Science and Technology.
• Aug 2015 – Jul 2022: Assistant Researcher/Associate Researcher at China Academy of Railway Sciences.
• Aug 2022 – Present: Associate Professor at the Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology.

 

I. Main Research Areas

1. Intelligent healthcare and medical AI – computer-aided diagnosis, disease prognosis and rehabilitation assessment
2. Medical image analysis – automated segmentation of multi-sequence MRI and other medical imaging modalities
3. Large language models (LLMs) – domain-specific LLMs for medicine and education
4. AI in education – LLM-based intelligent teaching assistants and flipped classrooms

 

II. Awards and Honors

1. Member, CNKI Expert Database
2. Holder of two authorized national invention patents

 

III. Research Projects

3. Qinghai Provincial Key R&D and Transformation Program, Principal Investigator (BIPT lead), "Prognosis and Rehabilitation Assessment for Endometrial Cancer in Elderly Patients in Qinghai Region"
4. Image-based Train Localization and Perception Projects, China Academy of Railway Sciences, 2015-2022

 

IV. Representative Academic Papers

5. Teng, D., et al. (2025). Investigating the Utilization and Impact of Large Language Model–Based Intelligent Teaching Assistants in Flipped Classrooms. Education and Information Technologies.
6. Teng, D., et al. (2024). Cervical-YOSA: Utilizing Prompt Engineering and Pre-Trained Large-Scale Models for Automated Segmentation of Multi-Sequence MRI Images in Cervical Cancer. IET Image Processing.
7. [Co-author] (2024). Assessing and Optimizing Large Language Models on Spondyloarthritis Multi-Choice Question Answering: Protocol for Enhancement and Assessment. JMIR Research Protocols.

 

V. Admissions Information Currently recruiting Master's students in:

• Electronic Information (0854, Professional Degree)
• Computer Science and Technology-related fields

Our research team focuses on cutting-edge applications of artificial intelligence in healthcare and education. We offer a supportive research environment with opportunities to work on meaningful projects that bridge AI technology with real-world applications in medicine and education. Students with strong programming skills and interests in medical AI or educational technology are especially encouraged to apply.

Contact: tengda@bipt.edu.cn