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    Home»Tech News»Coral Reef ROV Wins IEEE Presidents Scholarship
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    Coral Reef ROV Wins IEEE Presidents Scholarship

    Ironside NewsBy Ironside NewsAugust 25, 2025No Comments7 Mins Read
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    Coral reefs are important to marine ecosystems, supporting extra species than every other ocean surroundings. Greater than 80 percent of the planet’s coral reefs have been bleached as a consequence of rising ocean temperatures and pollution, in accordance with the U.S. National Oceanic and Atmospheric Administration. The reef injury threatens marine biodiversity throughout the globe.

    Highschool scholar Sydney West constructed a remotely operated car (ROV) designed to assist protect and maintain coral reefs. West, a graduate of Hanford High in Richland, Wash., and an incoming freshman on the University of Hawai’i at Manoa, plans to pursue a level in mechanical engineering.

    Her undertaking, The Design and Engineering of an Intelligent Remotely Operated Vehicle for Coral Reef Research and Monitoring, was showcased in Might at Regeneron’s International Science and Engineering Fair, held in Columbus, Ohio.

    West received this 12 months’s IEEE Presidents’ Scholarship of US $10,000 for her underwater vehicle, Cnidaria. The award is payable over 4 years of undergraduate college research and features a complimentary IEEE scholar membership. Ramy Tantawy, chair of the IEEE Columbus Section, offered West with the scholarship.

    The IEEE Foundation established the Presidents’ Scholarship to acknowledge a deserving highschool scholar whose undertaking demonstrates an understanding of electrical engineering or one other IEEE discipline of curiosity. The scholarship is run by IEEE Educational Activities.

    The second-place winner acquired a $600 scholarship; the third-place winner acquired a $400 scholarship. Each additionally acquired complimentary IEEE student memberships.

    Computer vision and sensors establish coral species

    The ROV’s title, Cnidaria, comes from the taxonomic household title for coral species. When discussing the undertaking, West affectionately refers back to the drone as “she,” a nod to the nautical custom of personifying vessels, in addition to a mirrored image of the deep connection and satisfaction she feels for her work.

    Cnidaria is provided with pc imaginative and prescient know-how, conductivity, temperature and depth sensors, and a water-sampling system. The car is able to figuring out a wide range of coral species, detecting anomalies amongst them, amassing water samples, and logging knowledge in regards to the water’s situation.

    West describes the ROV as versatile. “Every of her techniques may be modified, indifferent, or changed simply,” she says. The car may be custom-made for various analysis wants.

    “By no means be afraid of failing. Failing isn’t the top. In case you’re not failing, you’re not studying.”—Fay Salim al-Mahrouqi

    West plans so as to add a data-logging system and a navigational assist, a Doppler velocity log, to assist researchers extra precisely observe coral areas and streamline data collection.

    “I need her to be a device for all researchers who research coral to enhance their effectivity, and make it simpler for them to concentrate on their analysis and never have to fret about the entire labor-intensive and logistical hassles,” West says.

    West intends to launch a enterprise providing providers for ROV customers, together with refurbishing the drones, promoting components and techniques, and providing coaching programs to those that wish to construct their very own marine automobiles.

    After finishing her bachelor’s diploma in mechanical engineering, she plans to attend graduate college to check marine biology.

    “I wish to get the most effective of each worlds,” she says. “Having data in regards to the rules of engineering, and in addition what I’m engineering for, will assist me strengthen my work within the discipline.”

    West advises budding engineers to domesticate tenacity.

    “Issues will go fallacious,” she says. “You’ll hit roadblocks and obstacles, and spend days or perhaps weeks making an attempt to resolve a single downside, however that constant effort and dedication are key to eventual success.”

    Fay Salim al-Mahrouqi, a highschool senior on the Dohat al-Adab School in Muscat, Oman, took second place for her undertaking, A Hybrid Learning-Driven Approach for Lung Enhancement, Tumor Detection, and Fibrosis System.

    Al-Mahrouqi’s inspiration stemmed from the lack of her grandfather to idiopathic pulmonary fibrosis. IPF is a continual illness that develops when lung tissue turns into too thick, inflicting everlasting scarring within the lungs, in accordance with the U.S. National Heart, Lung, and Blood Institute. The situation makes it arduous to breathe. Regardless of quite a few hospital visits and CT scans, her grandfather was recognized with the situation too late, main al-Mahrouqi to wish to enhance IPF analysis strategies.

    “Radiologists search for issues like tiny, honey-shaped advanced websites or faint, hazy areas referred to as ground-glass opacities within the lungs,” al-Mahrouqi says. “These similar patterns additionally present up in different illnesses, like nonspecific interstitial pneumonia and early-stage lung cancer. This usually results in a misdiagnosis.”

    She developed a hybrid artificial intelligence system that makes use of a contrast-limited adaptive histogram equalization course of, enhancing CT photos by amplifying distinction and limiting picture grain. Her prototype additionally makes use of six totally different pretrained convolutional neural networks that classify fibrosis patterns and nodule sorts—malignant, benign, or regular—to supply an earlier analysis.

    “This prototype is exclusive as a result of it converts classification and enhancement right into a single diagnostic device,” al-Mahrouqi says. She says it’s the first time machine studying strategies have been used to focus on fibrosis patterns.

    She is collaborating with hospitals to gather extra affected person knowledge to assist her enhance the accuracy of her diagnostic device.

    Al-Mahrouqi says she is dedicated to advancing her undertaking: “The method of inventing one thing isn’t about getting into a contest. It’s about fixing real-world issues. What’s the purpose of engaged on a undertaking if you’re not keen to proceed to develop it?”

    She says she hopes to launch a startup to commercialize her know-how, with the aim of attaining worldwide adoption by hospitals. Within the meantime, she says, she plans to dedicate her senior 12 months to finding out entrepreneurship and can pursue a level in data science, cybersecurity, or electrical engineering.

    Her recommendation to younger engineers is: “By no means be afraid of failing. Failing isn’t the top. In case you’re not failing, you’re not studying.”

    A stethoscope to establish a number of physique sounds

    Kayley Xu, a junior on the Bishop’s School in La Jolla, Calif., took third place for her Wearable Stethoscope Array for Cardiopulmonary Sound Localization and Interference Suppression Using Beamforming undertaking.

    When Xu was 13 years previous, she had a extreme case of pneumonia. “Throughout the analysis and therapy course of, I noticed limitations with a number of the medical gear, such because the stethoscope,” she says.

    That have impressed her to pursue respiratory illness analysis, particularly the efficiency of auscultation: listening to the physique’s inside sounds.

    By way of her analysis, she found that conventional stethoscopes have limitations together with a health care provider’s lack of ability to hearken to a number of sounds concurrently—which creates interference once they overlap.

    Xu designed a chest piece utilizing a versatile printed circuit board that conforms to the affected person’s physique. The piece makes use of a microelectromechanical microphone able to capturing a variety of frequencies. By combining novel {hardware} designs with beamforming—a signal processing approach—Xu says the machine “can seize each low- and high-frequency vary sounds resembling lung crackles and coronary heart murmurs, which are sometimes missed by typical stethoscopes.”

    The sensor in her machine detects the place a sound is coming from extra precisely with out sacrificing audio high quality. The machine is also extra reasonably priced than an ordinary stethoscope, she says, as its versatile printed circuit board may be produced for lower than US $1 per unit when manufactured at scale.

    “I hope my machine will allow extra underdeveloped areas all over the world to have broader entry to stethoscopes and more cost effective processes,” she says.

    Her undertaking not solely helped her advance her technical abilities but additionally taught her the significance of perseverance, creativity, and innovation, she says.

    As she heads into her junior 12 months of highschool, she plans to proceed growing her machine. She additionally intends to pursue an engineering diploma.

    Her recommendation to younger engineers? “Have a whole lot of grit and perseverance.”

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