Key achievements in: 1. Research: Research underway:  Thermal breast imaging: with the goal of early detection of breast tumors, we are acquiring infrared images from normal and cancerous breasts to detect warm regions that may indicate the growth of a tumor. Aspects of the process include: (1) using both classical feature-based pattern-recognition methods and current deep-learning algorithms to identify tumors, and (2) validation of the methods using finite-element analysis to register the true location of a tumor as found at surgery, when the patient is supine, with the thermal image acquired when the patient is sitting.  Development of magnetic resonance (MR) image segmentation methods for detection and risk stratification of prostate cancer  Creation of pathology-preserving anonymization methods to prevent identification of faces in 3d renderings of computerized tomography images of the skull  Development of tools that quantitate the components of explainable artificial intelligence (especially with respect to image analysis), by characterizing separability, assessing data-augmentation techniques, and creating robust segmentation methods  Extension, improvement, and validation of methods of analysis of MR images for early detection of Alzheimer’s disease  Refining and benchmarking our reflectance transformation imaging dome, which provides high-resolution 3d images of surface characteristics of materials  Shape description for reliable discrimination between benign and malignant tumors of the breast and kidney  Combining genomic data with MR images for detection of subtle prostate tumors 2. Teaching: revised and taught a course in pattern recognition and machine learning (graduate, fall 2021), and digital image processing (graduate, spring 2021) to good reviews; on the basis of the courses, recruited several new graduate students to my lab. 3. Service: Member, Advisor Council on Research. Chair, BME search committee, BME personnel committee; ad hoc member of all BME standing committees