Template for Selective Area Growth of Group III-Nitride Devices is an advanced LED fabrication technology that improves the performance and manufacturability of group III-nitride devices, including gallium nitride (GaN)-based LEDs. By utilizing selective-area growth techniques, optimized epitaxial processes, enhanced doping methods, and refined device architectures, the technology reduces crystal defects and improves carrier injection and light extraction. These improvements increase brightness, energy efficiency, reliability, and operational lifespan while supporting more cost-effective manufacturing. Potential applications include solid-state lighting, display backlighting, automotive lighting, medical devices, and UV sterilization systems. The technology is protected by U.S. Patent Application, is at TRL 3, and is available for licensing.

Artificial Intelligence (AI) is rapidly advancing—and with it, the promise of solving some of academia’s toughest problems. But while many researchers focus on using AI to find answers, Associate Professor Hiroshi Kera of the Institute for Advanced Academic Research/Graduate School of Informatics is asking a different question: How can we design better problems for AI to solve?

A specialist in algebra—the branch of mathematics that explores equations using symbols and letters, from the quadratic equations taught in junior high and high school to far more abstract structures—Dr. Kera is working at the intersection of computational algebra and AI. By combining computer-based algebraic computation with AI, he aims to open new frontiers in mathematical discovery. We spoke with Dr. Kera about how AI could reshape—and expand—the world of mathematics.

A HNF4α-caGR Fusion Transcription Factor as a Potential Treatment for Inflammatory Liver Diseases and Liver Cancer is a novel protein-based therapeutic that combines hepatocyte nuclear factor 4α (HNF4α) and a constitutively active glucocorticoid receptor (caGR) to restore critical liver functions and reduce inflammation. By simultaneously activating two key regulatory pathways involved in liver cell differentiation, metabolism, and anti-inflammatory responses, the technology is designed to overcome resistance mechanisms that limit current treatments. Its selective, liver-focused approach may reduce the systemic side effects associated with conventional glucocorticoid therapies. Potential applications include inflammatory liver diseases, liver cancer, and other disorders involving transcriptional dysregulation. The technology is patent pending and available for licensing.

A Feedforward Cancellation Method for Receiver Nonlinearity Suppression is an advanced radio-frequency receiver technology that improves signal quality by reducing nonlinear distortion caused by strong interfering signals. The innovation uses two parallel receive paths with identical characteristics except for attenuation, enabling more effective feedforward cancellation of frequency-dependent nonlinear distortions. Combined with high-linearity, low-noise amplifiers and optimized signal conditioning, the approach enhances receiver sensitivity, dynamic range, interference rejection, and overall signal fidelity. Potential applications include 5G and 6G wireless communications, radar systems, radio astronomy, and other high-performance sensing platforms where signal integrity is critical. The patent-pending technology is at TRL 3 and available for licensing.

The All-Hazards Preparedness Game is a virtual reality-based training platform that helps individuals develop disaster preparedness and decision-making skills through immersive simulations of emergencies such as evacuations and shelter-in-place scenarios. Initially designed and tested with older adults, the technology provides a safe, controlled environment for practicing protective actions without the risks and ethical challenges associated with studying real-world disasters. Built using platforms such as Unity and Blender, the game enhances engagement, learning, and preparedness through realistic interactive experiences. Potential applications include community preparedness programs, emergency management training, education, and resilience planning. The patent-pending technology is at TRL 5 and available for licensing.

State University of New York (SUNY) Chancellor John B. King Jr. yesterday announced that this technology is a recipient of the latest round of seed funding through the SUNY Technology Accelerator Fund (TAF), which provides grants to faculty inventors and scientists. Potent Melatonin Receptor Ligands are a series of more than 120 novel compounds developed at the University at Buffalo to selectively modulate the MT1 and MT2 melatonin receptors, which play key roles in sleep regulation, circadian rhythms, and numerous physiological processes. These compounds include receptor-specific agonists, partial agonists, antagonists, and inverse agonists with demonstrated receptor-binding activity. Potential applications extend beyond sleep and circadian rhythm disorders to include pain management, depression, hypertension, stroke, inflammatory diseases, autoimmune conditions, and metabolic disorders. The technology has generated in vitro and early in vivo data, is supported by U.S. Provisional Patent Application, and is available for licensing or collaboration.