Our research group aims to be a dynamic, diverse and collaborative team, in which each group member takes the initiative to do the research they are interested in and drives the success of the team. Each member will receive individual mentorship directly. We are always looking to add new members that are passionate about research and eager to learn.
Brynn Roy, PhD Student
Shuyang Zhang, PhD Student
Tianyu Yang, Phd Student, graduated in Spring 2024
Henry Fessler, Master Student (co-advised with Dr. Adam Alessio), graduated in Spring 2024
Albert Chua, Phd Student, graduated in Fall 2023
Guanghui Huang, Postdoc, (co-advised with Dr. Jianliang Qian)
Yernat Assylbekov, Postdoc
Shuyang Qin, Master's Student, (co-advised with Dr. Rongrong Wang), graduated in Fall 2022
Ray Hasan, Undergraduate Student
Osiri Ekene, Undergraduate Student
Kaitlyn Morgenstern, Undergraduate Student
Eunhye Park, Undergraduate Student
Evan Francis Bell, Undergraduate Student
Sarah Ingemunson, Undergraduate Student
Hongji Gao, Undergraduate Student
Isabella Ginnett, Undergraduate Student
Isaac Cinzori, Undergraduate Student
Lei Huang, Undergraduate Student
Meigen Starr, Undergraduate Student
Nathan Barbish, Undergraduate Student
Yu Gao, Undergraduate Student
Prospective PhD position is available in the field of inverse problems and imaging interpreted in the broad sense. Candidates are expected to have expertise in one or more of the following areas: computational mathematics, differential equations, inverse problems, statistics, optimization, image analysis and processing, signal processing, machine learning, deep learning, data science. Proficient programming skill is strongly recommended.
Successful applicants will have opportunities to:
(1) be supported as teaching assistants (TAs) or research assistants (RAs) with competitive salary and benefits;
(2) join a growing department with vibrant research atmosphere;
(3) work on cutting-edge interdisciplinary research projects that have both profound scientific impact and broad real-world applications.
We always welcome undergraduate students to join our team (summer or year-round). Undergraduate students will have opportunities to perform research tasks in their areas of interest, to receive course credits or to work as undergraduate research assistants (paid hourly). If you are a motivated undergraduate student wondering if research is right for you, please reach out to Dr. Yang for a discussion.