TS-073028 — Neonatal units need unobtrusive, continuous monitoring of presence, posture, motion, and growth metrics (recumbent length, optional weight) without cameras, wires, or labor‑intensive workflows. Frequent, accurate measurements are critical for early detection of growth deviations and unsafe sleep…

TS-072921 — Current tritium detection methods struggle with sensitivity and selectivity, especially in environments where hydrogen and tritium coexist. Tritium is a critical byproduct in nuclear reactors, hydrogen production, and waste facilities, and its monitoring is essential for safety, regulatory complia…

TS-072841 — Modern thermal management demands fast, accurate, and spatially compact heat flux sensing to complement temperature measurements, enable real‑time control, and estimate internal temperatures without waiting for equilibrium. Conventional longitudinal thermopower sensors trade sensitivity for resp…

TS-072827 — The Need Current navigation systems, such as GNSS, face limitations in urban canyons, indoor environments, and areas with signal jamming or spoofing. The rapid proliferation of LEO satellite constellations presents an untapped opportunity for resilient, accurate positioning. However, leveraging thes…

TS-072321 — The Need Current virtual and augmented reality (VR/AR) platforms lack integration of gustatory (taste) sensations, limiting user immersion and sensory engagement. Existing human-machine interfaces focus primarily on visual, auditory, and haptic feedback, neglecting the chemical dimension of taste. T…

TS-072320 — The Need Current biofuel cell sensors suffer from poor selectivity and accuracy due to fluctuations in ionic strength and pH at the sensing interface. These environmental changes can significantly interfere with sensor readings, limiting reliability in medical diagnostics, energy generation, and env…

TS-072319 — The Need Current methods for mapping electrical potential gradients in biological tissues, such as the brain, rely on high-density electrode arrays fabricated via costly microfabrication techniques. These rigid devices struggle to conform to complex tissue morphologies, limiting their effectiveness …

TS-072175 — The Need Modern industrial and energy systems are increasingly complex, making timely fault detection and discrimination critical for safety, reliability, and cost control. Existing fault diagnosis methods often struggle with transient states, require extensive historical data, or lack interpretabil…

TS-072052 — The Need Current wearable sensors for muscle health are limited in their ability to track real-time geometric changes in muscle size and shape, especially outside controlled laboratory environments. Existing solutions, such as force myography and ultrasound, either lack direct geometric insight or a…

TS-071847 — The Need Current fast neutron detection technologies suffer from inherently low sensitivity due to the limited interaction cross-section between neutrons and atomic nuclei. This restricts their effectiveness in critical applications such as nuclear security, radiation dosimetry, and advanced imaging…

TS-071747 — High-accuracy 3D depth perception is critical for autonomous systems, but current stereo camera methods falter in complex outdoor environments. While LiDAR can improve accuracy, its effectiveness plummets when using sparse data from affordable, lower-beam sensors, making high performance prohibiti…

TS-071414 — The Need Current neurochemical monitoring technologies are limited by bulky form factors, complex fabrication, and invasiveness, which restrict their clinical and research utility. Existing sensors often cause tissue damage, lack real-time resolution, and are costly to manufacture, impeding widespre…

TS-070304 — The Need Current clinical methods for assessing tremor severity in patients with Parkinson’s disease and other movement disorders rely heavily on subjective, qualitative observations, such as evaluating hand-drawn spirals or observing motor tasks. These approaches lack precision, are difficult…

TS-068476 — The Need Modern wireless networks, including 5G and future 6G systems, rely heavily on accurate channel prediction to ensure efficient and reliable communication. Frequency Domain Duplexing (FDD) systems face challenges in accurately predicting downlink channels from uplink channels, particularly in…

TS-067810 — Work environments and other brain-intensive activities impose high demands on the cognitive and cerebral resources required to process vast amounts of information. This high demand can expose individuals to cognitive overload, which can be dangerous for their health and lead to errors and accidents.…

TS-067045 — The Need Wireless implants with integrated antennas are highly desirable for diagnostic, therapeutic, and monitoring applications due to their ability to communicate directly with external devices. However, the need for major surgical incisions to implant these devices poses significant risks, incl…

TS-066963 — The Need Exposure to mold in homes costs billions of dollars every year. Exposure is particularly harmful to the 8% of the United States population that suffers from asthma; a leading cause of disability in children. Currently, odor, visible mold growth, and dampness are the best indicators of mold…

TS-066957 — The Need Colorimetric tests and remote image analysis are used in a wide range of industrial and medical applications. Digital image-based measurements made with smartphones are a promising platform to quantify colors at low cost, but suffer from inconsistency and errors caused by lens quality, sen…

TS-064825 — The Need Human touch is vital to health and well-being, supporting stress reduction, emotional regulation, and healing from infancy through old age. In therapy and rehabilitation, it plays a critical role, yet is rarely measured. Sensors that detect human contact can both encourage touch and captur…

TS-063979 —