Student working on a research project.

Computational Image Analytics In Renal Pathology

Dr. Sarder is looking for motivated undergraduates to assist in his research on application of image analysis and machine learning / AI algorithms to tackle modern challenges in pathology and biology. The student will learn to identify important regions in kidney images which are important for diagnosis and prognosis of kidney diseases. Students will learn elementary use of MATLAB or python to analyze digital images. This project has potential to aid in the diagnosis and understanding of a variety of diseases of chronic importance to public health in the US, such as diabetic nephropathy or lupus nephritis. This project will teach the student how to work with large scale scientific data, and how to tackle problems with real world impact. Students with some background in elementary computer science, scripting experience, or pre-med or pathology are preferred, but not required. Contact pinakisa@buffalo.edu for more info.

Research Project Information

Disciplines: Biomedical Engineering, Computer Science, Electrical Engineering, Medical Image Analytics, Machine Learning, Signal Processing
Student Skill-Set Needed: Basic knowledge of coding, image editing,
Compensation: Academic Credit, Salary / Stipend, Volunteer, Work Study
Available: Fall, Spring, Summer
Website: http://www.acsu.buffalo.edu/~pinakisa/research.html

Contact

For further information on this opportunity, or to apply, contact:

Faculty Member: Pinaki Sarder
Title: Assistant Professor
Department: Pathology And Anatomical Sciences
Office: 955 Main Street, Buffalo, NY 14203
Phone: 7168292265
Email: pinakisa@buffalo.edu