The Intelligent and Scalable Systems REU Site, sponsored by the National Science Foundation and hosted by the Computer Science and Engineering Department at Lehigh University, provides undergraduate students from across the country with an opportunity to learn how to harness the incredible potential of machine learning and the unprecedented power of modern parallel compute resources, and to use their knowledge and experience to invent new systems and algorithms that are infused with intelligence and capable of solving pressing societal problems.
Our REU site provides every student with a deliberate program of research and study, and pairs each student with a dedicated faculty mentor. In addition, we have prepared a series of seminars and tutorials designed to ensure that every participant will be ready to collaborate, knowledgeable about the key concepts and technologies in modern intelligent and scalable systems, and inspired to pursue further education and life-long careers in Computer Science.
Modern advances in machine learning, especially the use of parallel computational resources to train algorithms on large data sets, is enabling revolutions in many sectors of our society and our economy. To sustain this revolution, our REU Site is focused on research into fundamental topics in both machine learning and scalable computer systems, such as new algorithms for machine learning, new approaches to privacy preservation, and new techniques for increasing the performance of parallel programs. We also support application-focused research, with an emphasis on creating solutions to hard problems in both research and society.
Through this REU Site, students will have the opportunity to pursue research in a broad array of areas. Below is a list of topics offered in past years. However, this list is by no means exhaustive.
Projects to be investigated this year will be determined through a combination of faculty and student interests. For broader research areas, and for a list of potential advisors for the topics that interest you most, please see our faculty research interests.
We welcome applications from undergraduate students who are US citizens and permanent residents. We are particularly interested in applicants who come from groups that are traditionally underrepresented in computer science and engineering (low-income, ethnic and racial minorities, first generation college students, and women). If you are a member of one or more of these groups, please highlight this in your personal statement.
Note that applicants must be US citizens or permanent residents to apply. Students must also be currently enrolled in an undergraduate college or university. High school students or college students that have graduated before this experience are not eligible.
To apply, please perform the following two steps:
Submit the following application materials as a zip file via email to Heidi Wegrzyn <email@example.com>: (Please note that recommendation letters must be sent directly by students' references.)
Any questions about the REU Site can be sent to Professor Michael Spear <firstname.lastname@example.org>.
Review of applications will begin immediately. Applications will be processed on a rolling basis, and notifications will begin being made on May 1st, 2021.