By working with nationally recognized faculty and graduate students, Industrial Operations and Engineering undergrad students are able to get real-world research experience in fields like healthcare, aviation, transportation and more.
What is it like to be an undergraduate researcher?
The College of Engineering and the University of Michigan offer two programs SURE (Summer Undergraduate Research in Engineering) and SROP (Summer Research Opportunity Program) to provide undergraduate students with an opportunity to participate in summer research. Please find information below about these two exciting programs. Read more here.
We conduct research to investigate how humans interact with automated technologies/robots in simulated environments. Students can work on various dimensions of a project including designing games, coding, conducting human-subject experiments and data analysis. For students interested in game design and coding, a strong background in EECS is expected (java, c++, python etc.). For students interested in experiments and data analysis, some experience with statistics is preferred. To check out the specific projects a student can work on, please visit http://icrl.engin.umich.edu.
We will work on the application of modeling and operations research techniques to applied problems in healthcare. Prior projects have included work in transplant surgery, emergency medicine, and precision health. Students will have the opportunity to work with a wide variety of other students as well as experts from the application domains (e.g. physicians, nurses, clinical managers). Desirable skills and background include IOE310, programming skills, data analysis skills, and strong writing and interpersonal skills.
The research is related to an ongoing NSF-funded project that is collaborative and across several disciplines, including Industrial & Operations Engineering, Civil Engineering, Transportation Institute, Computer Science, and Business Analytics. The research is inspired by the fast-developing shared mobility systems, including carsharing and ridesharing, to operate which, decision makers face new problem features and computational challenges. In particular, we would like to address the issue of demand and budget uncertainty in design of shared mobility strategies considering shared fleet size, type, location design, and operational activities such as real-time vehicle routing, rebalancing, and electronic vehicle charging. We aim to derive high-fidelity, data-driven mathematical models and efficient numerical algorithms for designing and operating shared mobility systems.
Example tasks for student(s) who participate in this research are:
Students with good data analyzing skills, programming skills (or willingness to acquire those skills) will be preferred.
My research team addresses a variety of questions related to the development and application of Industrial Engineering methodology to support medical decision making and other healthcare decisions. Using large datasets, some of the sample questions investigated by our team include: when to monitor and treat patients with chronic conditions? How to plan the long-term supply and demand for transplant organs? How to prevent hospital readmissions? These questions are addressed both from a patient and from a system’s perspective.
The student(s) involved in this research will support model development, validation and implementation potentially including (but not limited to):
No prior medical/healthcare experience is necessary. Students involved will work actively with the research team and participate in our lab meetings both in Engineering and at the Hospital. Students with good communication and programming skills and some statistical/machine learning background (or willingness to acquire those skills) will be preferred.
Industrial and Operations Engineering