Undergraduate Research in Scientific Inquiry with R. Weiss

Description

Rigorous quantitative and qualitative research is an important component of academic learning in Scientific Inquiry. This independent learning opportunity allows advanced students to delve into real-world research with faculty who are currently engaged in specific projects. Students typically begin by working in apprenticeship with faculty or laboratory staff and gradually take on more independent projects within the context of the specific research program as they gain experience. Students can develop vital skills in research design, data acquisition and interpretation, written and oral communication, collaboration, and critical thinking that are valuable for students pursuing a graduate degree or entering the job market.

Richard Weiss (computer science and mathematics) has several ongoing projects in computer architecture, vision, robotics, artificial intelligence and security. One of his projects in computer vision is recovering three-dimensional information from multiple images. He is also interested in applying machine learning to visual recognition problems, including facial expressions. One of the computer architecture problems that he has worked on is the simulation of hardware faults and techniques for fault correction. In addition, he is open to working with students who have their own ideas for projects in these and related areas.