Prospective students please read the following before applying:
We are always looking for motivated and creative graduate, undergraduate, and high-school students to join our research group. Due to our base at Cincinnati Children's, much of our research focuses on Pediatric Health: the use of image processing and machine learning with the goal of improving pediatric patient care, quality of life, and serving various other divisions - Radiology, Pathology, Microscopy Core, Neurology, Neurosurgery, Pulmonary, Health Informatics, Clinical Informatics, Emergency Medicine, Immunobiology, Human Genetics,...
As our research is intensively applied, you should expect to spend a significant amount of time coding, prototyping, and running empirical studies. This process is quite demanding and requires patience and perseverance. However, it is also quite rewarding to design systems that are actually used by pediatricians.
As with other labs, our funding situation varies, but is always a limiting factor on the size of any research group (including ours). Your best chances to joining the lab are to take classes in Machine Learning/Deep Learning (important), Image Processing (optional), Signal Processing (optional), and Computer Vision (optional). If you have a strong background in Mathematics, learning the above subjects are not mandatory and can be learned on the job.
If you're already a student at the University of Cincinnati, please free to
stop by email Dr. Prasath to introduce yourself and your research interests. Reading a couple of our recent publications will give you a leg up! If you're not yet a student at the University of Cincinnati, please go through the standard admission procedures and mention our lab as a possible destination - either at Electrical Engineering and Computer Science, CEAS or at Biomedical Informatics, University of Cincinnati. The admission committee does a good job at sharing the applications of prospective students with relevant faculty.