This project aims to develop effective methods for early detection of cognitive changes. Using MRI, behavioral measures and our smartphone app, we will develop a computational model that can predict cognitive function from smartphone usage. Outcomes of this project may improve care and research for patients with cognitive impairments. BackgroundCognitive Read more…
Despite recent evidence of the role of motivation in successful aging, causal evidence is nonexistent. By combining transcranial direct current stimulation (tDCS) with neuroimaging, the TIME project aims to determine if modulation of brain function via stimulation leads to improved motivation and memory in normal elderly adults. This will provide Read more…
This project develops novel anti-jamming techniques for Global Navigation Satellite Systems (GNSS) that are effective, yet computationally affordable. GNSS is ubiquitous in civilian, security and defense applications, causing a growing dependence on such technology for position and timing purposes, particularly in critical infrastructures. The threat of a potential disruption of Read more…
We represent the state of the world in a low-dimensional subspace, called “pose”, which is a succinct interpretable representation of important information in the state. The state can then be estimated and predicted from this low-dimensional representation. The pose can also be used as a semi-supervised generative model to render Read more…
Melanoma is diagnosed in approximately 124,000 people and is responsible for about 10,000 deaths every year, in the USA. Dermatologists rely on visual and dermatoscopic examination to discriminate benign melanocytic lesions from malignant, resulting in high and highly variable benign-to-malignant biopsy ratios from 8:1 to 47:1, and millions of unnecessary Read more…
People with severe speech and physical impairments can benefit from a direct brain computer interface for their communication needs. This project aims to develop an AAC interface using noninvasive EEG sensors to infer the user’s intent regarding desired letters and symbols during text generation. The designed RSVP Keyboard system will Read more…
Retinopathy of prematurity (ROP) is a leading cause of childhood visual loss worldwide, and the social burdens of infancy-acquired blindness are enormous. Early diagnosis is critically important for successful treatment, and can prevent most cases of blindness. However, lack of access to expert medical diagnosis and care, especially in rural Read more…
Representations of real-world phenomena as graphs are ubiquitous, ranging from social and information networks, to technological, biological, chemical, and brain networks. Many graph mining tasks — including clustering, anomaly detection, nearest neighbor, similarity search, pattern recognition, and transfer learning — require a distance measure between graphs to be computed efficiently. Read more…