Developing algorithms and learning-based systems to support potentially life-saving biomedical devices is more than abstract research for Stevens Institute of Technology electrical and computer engineering assistant professor and senior IEEE member Negar Tavassolian. "I've always been interested in solving medical problems with commercially viable technology," says Tavassolian, whose work is affiliated with the Stevens Institute for Artificial Intelligence. "I like to make things and see how they can help somebody." Tavassolian was granted a National Science Foundation (NSF) CAREER Award to leverage millimeter-wave technology in her quest to use artificial intelligence and other emerging technologies to develop an innovative, portable dermatological application to create a high-resolution image of a patient's skin for early detection of skin cancers. Millimeter-wave imaging (at a frequency of 30 to 300 GHz) is cheaper, safer, less power-intensive and much more portable than other types of body imaging.