BSE666: Computational Biomedical Engineering (2025)

1. Instructors: Ketan Rajawat (EE), K Muralidhar (ME)
2. Description:The goal of this course is to introduce students to computational approaches to biomedical problems. The course will introduce the students to state-of-the-art computational techniques, applications of computational tools, and instill an understand of how biological concepts and computational methods can be integrated to address complex biomedical problems. The overarching goal of the course is to provide students with a deep understanding of how computational modeling and simulation can be used to create personalized virtual representations of biological systems for various biomedical applications. After completing this course, the students are expected to have the knowledge and skills necessary to develop, analyze, and use technologies such as digital twins in healthcare.
3. Contents: We plan to cover the following contents tentatively
1. Solving ODEs and PDEs: numerical methods, relevant software
2. Physics-based models and examples in biomedical domain
3. Data-driven (AI) models and examples in biomedical domain
4. Digital twins and inverse modeling
4. Class Venue: TBA
5. Grading: TBA