- This REU Supplement program supports two (2) University of Dayton undergraduate students during one academic year. The main goal is to provide undergraduate students with an in-depth, hands-on research experience focused on artificial intelligence (AI), object modeling and urban simulation. The students will be mentored and will assist with various research tasks, e.g., data collection and annotation, AI model training, 3D modeling, and simulation development. The recruited students must be US citizens or Permanent residents.
- In particular, this program seeks to engage undergraduate students interested in the fields of computer science or engineering who wish to pursue intensive research opportunities in a supportive and engaging learning environment. The emphasis will be on computer vision and 3D simulation, areas that have extensive practical applications from education, entertainment to healthcare, and beyond. Below are the research activities, with the term “research” used broadly to include activities that produce new knowledge, new interpretations of information, or new expressions of creativity.
- 1. Enhance student knowledge in the field of computer science and artificial intelligence
- 2. Increase student interest and engagement by integrating object modeling into their research activities
- 3. Enhance student scientific writing, communication, and collaborative skills
- 4. Improve students’ ability to apply algorithmic principles and computing theory to applications involving 3D modeling, computer vision, and simulation.
- 5. Broaden participation in research among underrepresented students
- The REU call is here. Please email your CV to Prof. Tam Nguyen (tnguyen1@udayton.edu) if you are interested in joining this REU program.
