RPI presents a novel, DCL-Net system, and method based on a machine learning/DL technique to reconstruct 3D volumes from a series of 2D images. The developed technology does not require the use of sensor tracking hardware/devices (e.g., robotic arms, touchless position/pose trackers) to operate. The technology acquires multiple (two or more) consecutive, 2D US-generated image frames using a handheld imaging sensor or a sensor mounted on a motion restricted device used as inputs for estimating a US probe trajectory and tracking its motion.

New ideas to increase the safety and reliability of multicopters have become critical to optimizing maintenance activities, reducing fatalities in unmanned aircraft, increasing surveillance reliability in drones, and improving mission effectiveness in vertical take-off and landing (VTOL) aircraft.

A dual-capacitor resonant circuit for adaptive resonant energy to be used in quasi-resonant ZCS dc-dc converters has been created. Specifically, the full-bridge (FB) boost-type dc-dc converters were developed for quasi-resonant ZCS operation and smooth current commutation by utilizing L-C resonance between leakage inductance of high frequency transformer and a resonant capacitor. In the new design, two capacitors (i.e.

Hybrid imaging combines different imaging modalities to obtain information from both systems, such as anatomy and physiology through MRI while leveraging tools available for X-ray fluoroscopy. Hybrid image systems could offer the benefits of increased diagnostic accuracy, faster examinations, and a better understanding of different medical professions. Current medical imaging research leverages hybrid imaging, which is of particular value to interventional applications as additional information is provided with MRI and soft-tissue contrast.

Researchers at RPI have developed a conceptual notebook/tablet/laptop device that integrates the ability to capture written text onto a flexible screen which can be rolled up after use into storage compartments. The device provides users a dedicated wide screen display for written text/image/drawing capture, is portable and easy to store with screen retraction capability via rolling into a pocket-size device of small dimensions, does not rely on a "hinge "based mechanism (e.g., foldable) to effect screen retraction and does not rely on touchscreen technology to carry out writing.

Space exploration within the commercial, business, and military sectors continues to increase, and the development of an autonomous navigation system capable of guidance navigation anywhere in the solar system free from the use of Earthbound orbiting satellites is required to ensure that these operations can be performed safely and accurately. Researchers at Rensselaer created a wide field-of-view (FoV) optical system for use as a StarNAV sensor with the potential to be mounted onto a spacecraft vehicle for use in measuring the velocity of the vessel during interstellar flights.

Strokes are one of the primary sources of long-term disability with billions in annual direct and indirect costs to the United States healthcare system. Nearly one-third of all strokes occur in patients with clogged carotid arteries. Carotid artery imaging types include digital subtraction angiography (DSA), duplex ultrasonography (DUS), CT angiography, and MR angiography. These imaging techniques provide information on the carotid artery’s shape, localized blood flow, and plaque composition.

Researchers at Rensselaer Polytechnic Institute are developing a non-invasive and user-friendly wearable

device for monitoring blood pressure, blood glucose, and biomarkers, which could improve quality of life, 

decrease healthcare expenditure, and allow for early intervention for potentially serious diseases. 

Currently, a major area of interest within the medical wearable device industry is the real-time monitoring

of blood pressure. More than 100 million adults in the United States and a third of the worldwide population

Researchers at RPI have developed a prototype hydrocarbon-based membrane for use in AE fuel cells and electrolyzers. This membrane can operate in a stable manner at elevated temperatures with the potential to provide enhanced operational performance. This membrane could possibly effectively participate in the growing fuel cell/electrolyzer market, as tested, the DPE membrane provides increased Tg values as compared to non-functionalized PS materials and increased Tg values as compared to main chain Nafion-117.

"Researchers at RPI developed an optical reservoir computer (ORC) with commercial off-the-shelf components to predict lung tumor motion during radiotherapy. The technology could improve radiation therapy outcomes and yield applications for other imaging modalities. The ORC shows comparable motion prediction accuracy and error rates to traditional neural networks (long short-term memory (LSTM), Multi-Layer Perceptron Neural Network (MLP-NN), and Adaptive Boosting and Multi-Layer Perceptron Neural Network (ABMLP-NN)).