Teaching
Teaching is one of our fundamental contributions. In addition to sharing knowledge with new generations of computer scientists, we greatly value the insights and perspectives that our ever-evolving student body brings to our field. We also foster close research collaborations with motivated students, whether through degree theses or Research Trainee positions. We invite you to join our courses, or become a Research Trainee or Ph.D. student.
教学是我们最基本的职业之一。除了向新一代计算机科学人才传授知识，我们尤为珍视不断更新的学生群体为该领域带来的深刻见解与独特视角。无论是通过学位论文还是本科研究实习生，我们都致力于培养充满热情的学生。我们欢迎您加入我们的课程，或成为研究实习生、博士研究生。
Courses
| 《漫谈脑科学与类脑智能》 | 新生研讨课 | 本科一年级 |
|---|---|---|
| 《“医工+“数字孪生的魅力》 | 学科前沿领航课 | 本科一年级 |
| 《信息技术前言与综合素养》 | 专业选修课 | 本科三年级 |
| 《数字孪生技术与应用》 | 专业选修课 | 研究生 |
Theses
We offer support for Bachelor theses for Nanjing University of Science and Technology (NJUST), including but not limited to computer science, software engineering, mathematics, etc. All topics are closely related to our ongoing research, allowing you to work on cutting-edge issues and gain a deeper insight into the field and our work. As our work evolves, the topics change continuously. If you want to know more about our currently available topics, please get in touch with us:
我们为南京理工大学的本科生提供毕业设计/论文支持（包括但不限于计算机科学、软件工程、数学等专业）。所有论文选题均与我们的在研项目紧密相关，学生可借此探索前沿领域问题，深入了解学科动态及我们的研究工作。由于研究方向持续演进，选题也会不断更新。若想了解当前可参与的论文题目，欢迎与我们联系：
General requests (all topics):
- Multitier Programming
- Deep Learning
- Machine Learning
- Statistical Analysis
- Medical Image Analysis
常规研究方向（涵盖所有选题）：
- 多层级编程（Multitier Programming）
- 深度学习（Deep Learning）
- 机器学习（Machine Learning）
- 统计分析（Statistical Analysis）
- 医学图像分析（Medical Image Analysis）
Please include your research interests and experiences to date in your email. Knowing about your favorite courses, projects, and personal experience helps us to find the right thesis topic for you.
请在邮件中注明你的研究兴趣及学术经历，包括主修课程、参与项目及个人实践等信息。这些内容将帮助我们为你匹配更合适的论文主题。