Vanderbilt researchers have developed a novel skin assessment platform that analyzes the molecular composition of skin using artificial intelligence to match individuals with optimal skincare products.
MRED is a Python-based, Monte Carlo radiation simulation software platform that models energy deposition and charge generation in microelectronic devices due to ionizing radiation. It enables product teams to predict single-event effects, total ionizing dose, and displacement damage before hardware testing. Companies use MRED to de-risk designs, prioritize mitigations, and cut test cost and time.
Vanderbilt researchers have developed a novel combinatorial logic circuit that prevents the propagation of signal glitches such as those caused by radiation-induced transients. The interlocked-feedback circuit accomplishes this without the loss of any speed. The circuit is designed for robustness in both combinatorial and sequential logic applications.
Vanderbilt researchers have developed a system that corrects for compressional effects in ultrasound data during soft tissue imaging. The system uses tracking and digitization information to detect the pose of the ultrasound probe during imaging, and then couples this information with a biomechanical model of the tissue to correct compressional effects during intraoperative imaging.
Vanderbilt researchers led by Dr. Nilanjan Sarkar have invented a multimodal data capture system that gathers multi-sensory data from children and their groundtruth affective states to build a machine learning model yielding individualized profiles in accordance to the interview-informed synthesized contingency analysis.
A flexible endoscope for ophthalmic orbital surgery is presented. The endoscope has illuminating fiber, image fiber and a free conduit to deliver purge gas/fluid in addition to instruments such as ablation instruments, coagulating instrument or a medication delivery instrument.
High-resolution pharyngeal manometry (HRM) provides an inexpensive and objective method for analyzing the pharynx during natural sleep and can be utilized to select candidates for certain surgical procedures for obstructive sleep apnea (OSA).
Robust and accurate sensor fusion algorithm using time of arrival data for acoustic event localization. The fusion algorithm compensates for incorrect measurements including multipath effects. The algorithm is capable of localizing multiple simultaneous sources with a high degree of accuracy.
The FACT toolsuite assists engineers working with complex aerospace systems to design and implement control systems that can maintain control even when the controlled system ""fails."" The tool suite uses a model-based approach where the designer creates design models of the plant and its associated control system, and the tools automatically generate code that implements fault-detection, isolation and control reconfiguration functions.
