2023 Awardees Dr. Jerome Baudry and Dr. Vineetha Menon "AI-ADD: Artificial Intelligence-Accelerated Drug Discovery" Dr. Gang Wang and Dr. Moonhyung Jang "Powerless Wearable Triboelectric Biosensor for Human Body Monitoring" 2022 Awardees Dr. Jerome Baudry and Dr. Vineetha Menon "AI-ADD: Artificial Intelligence-Accelerated Drug Discovery" Mr. Chakri Deverapalli "Retention and Graduation Analytics System" Dr. Gabe Xu "Using Low-Temp Atmospheric Pressure Plasma for Increasing Crop Productivity" 2021 Awardees Dr. Yu Lei "Ultrasonic Atomization of Chemicals for Atomic Layer Deposition" Mr. Chakri Deverapalli "Retention and Graduation Analytics System" 2020 Awardees Dr. Lingze Duan "Fiber-Optic Frequency Discriminator Based on PM-FBG" Mr. Chakri Deverapalli "Retention and Graduation Analytics System" Dr. Emil Jovanov "Hydration Sensor" Dr. Biswajit Ray "Methods for Instant Secure Data Deletion in Solid-State Storage Devices" 2019 Awardees Dr. Patrick J. Reardon "Additive Solid Optic Manufacturing VLSI for Optics." Dr. Don Gregory "The Next Consumer Market Display Technology." 2018 Awardees Dr. James Blackmon "RF Locator - Threat Detection System Based on Resonant RF." Dr. Hapuarachchige Surangi Jayawardena "Low Cost Rapid Point-of-care Diagnostic to Detect Chlamydia Trachomatis." Dr. Biswajit Ray "True Random Number Generator for Internet of Things Applications" 2017 Awardees Dr. Emil Jovanov (ECE) "Advanced Sensing and Human-Computer Interfaces." This technology consists of an embedded dual-sensor system that accurately senses human interaction (touch) with everyday items, such as water bottles, smartphones, and gaming consoles. The sensor system provides human/item interaction data to a microprocessor, which then interprets the data to provide useful information about the interaction between the user and the item. Dr. Yongbin Lin (ECE) "Low-cost and Mass Fabrication of Optical Fiber Sensing Probe with Nanoimprint Lithography." This technology provides a low-cost, mass-producible means of printing a nanoscopic array of metallic dots on the ends of fiber optic filaments. These metallic dots form a chemical sensor that can be used in the areas of food safety, environmental monitoring, and medical diagnostics, as the optical fiber strands can be safely inserted into the human body. 2016 Awardees Mr. Jason Carter (RSESC) "Brightness Limiting System (BLiS)." This technology consists of aBrightness Limiting System, or "BLiS." BLiS is a dynamic solar shade that uses see-throughglass displays with embedded systems to filter out glare spots from a viewer's line of sight. Dr. Junpeng Guo (ECE) "Ultra-Thin Film Wide Angle Transmission Color Filters for Imagingand Display Applications." This technology consists of an optical color filter that uses thin layersof a proprietary material being applied over a glass substrate. The varying material thicknessesfilter different wavelengths of light, thus presenting different colors at different thicknesses. Dr. Evgeny Kuznetsov (CSPAR) "Novel Photodetector Based on a Silicon Photo-Multiplierwith Temperature Compensation." This technology consists of an improved Silicon Photo-Multiplier (SiPM) whose operation is not adversely affected by temperature. The improvedSiPM would be more temperature resistant than other SiPM's currently available. 2015 Awardees Dr. Junpeng Guo (COE) "Robust Ultra-Thin Silicon Film Color Filters for Display Applications" These silicon and metal based filters rely on optical wave interference to display colors. Unlike current optical filters, these are low cost, robust, and do not change color due to changes in angle. They are intended for use in display applications such as television and computer screens, signs, and logos. Dr. Emil Jovanov (COE) "liquidTrac: A Smartphone-Based Monitoring of Liquid Intake" This technology consists of a water bottle that monitors the amount of liquid in the bottle and transmits the information to a smartphone. This can help remind people to drink enough water for a healthy lifestyle or limit water intake for patients with congestive heart failure or kidney disease. The information can be accessed by the user's physician with permission. Dr. Yongbin Lin (CAO) "Bridging Nano-Biosensing Technology to Device Commercialization" This technology consists of a fiber-based nano-biosensor to be used for molecular analysis in point-of-care applications. The goal is to create low-cost, compact, easy-to-use biosensors for early detection of cancer and other diseases in any environment. 2014 Awardees Dr. Junpeng Guo (COE) "A Novel Surface Plasmon Enhanced Absorption Spectrometer Chemical Sensor." This sensor measures small amounts of trace chemicals. It's enhanced sensitivity, smaller size, and lower cost will have significant advantages for disease diagnosis, chemical analysis, and homeland security. Dr. Philip Kovacs (COEd) "Complexity Engine." Powered by a sophisticated algorithm, Complexity Engine searches websites for content and delivers free, customized and age-appropriate reading materials to a user's computer. It will give teachers, parents, and students an efficient, affordable way to promote self-directed reading. Dr. William Kaukler (COS) "Quiet Lawn Mower Blade Development." This lawn mower blade is designed to produce significantly less noise during operation so that lawn mowers can meet new, stricter sound level regulations. Dr. James E. Smith (COE) "Passive Cooling of Computer Processors." This device uses a passive 2-phase cooling technique to provide a less expensive and cleaner method to cool computer processors. Dr. Debra Moriarty (COS) "Fabrication of Human Organ Analogues Utilizing Additive Manufacturing." This specialized 3D printing extruder allows for economical and sterile synthetic human organ analog fabrication for use in drug testing. These less expensive testing cultures would allow drugs to be screened for failure early, saving on the cost of drug development. 2013 Awardees Dr. Fan Tseng (Business) "Developing a DEA Component for Implementation in a Nurse Staffing Decision Support Dashboard." This technology consists of a software application, InnovaInsight™, which promotes the use of research evidence in nurse staffing decision-making. It helps nurse managers assess the efficiency of nursing units and make staffing decisions to optimize the quality of patient care.