![]() ![]() The research could aid the detection of money laundering through cryptocurrency. Their temporality amplifies the diverse nature of networks, obscures the notion of scale and explodes the size, he says. Sariyuce’s research will focus on temporal networks, which contain links that are only active at certain points in time. “So, analyzing networks is critically important for bank fraud detection, ensuring cyber-secure environments and even preventing pandemics.” “Money transfers, communications between computers and face-to-face interactions are all networks,” says Sariyuce. With a $556,000 grant, Sariyuce aims to create a novel approach to network analysis that could better detect cyberattacks and connect the dots between money launderers. Networks that transfer money and messages are all around us. The project will also involve a diverse cohort of student researchers, as well as work to help ensure consistent screening services for glaucoma are provided in underserved communities.Ĭatching cybercriminals and money launderers The research will be conducted using chest X-rays and eye images supplied by Cornell University and the University of Virginia. Gao aims to improve the performance of deep learning models in clinical environments, where data may be limited, patient populations may be more diverse, and rare diseases cannot be ignored, as in simplified lab settings. Most crucially, she will train the models not to forget previous information upon learning new information, a problem known as catastrophic forgetting. However, says Gao, deep learning is heavily dependent on large, high-quality labeled datasets only available in lab settings. “Life-threatening diseases could be caught early or avoided entirely,” says Gao.Įxisting AI-enabled medical devices use deep learning models to scan complex patterns in large data sets and flag suspicious findings on a patient’s scan as capably as board-certified radiologists. Funding by a $579,000 grant, she will create algorithms that help machine learning models analyze medical images, leading to improved clinical decisions and more confidence in AI-assisted health care. ![]() This is the future that Gao aims to create through the advancement of AI-powered medical imaging diagnostics. What if a patient could get an accurate assessment of a rash on their skin by simply pulling out their phone and taking a photo of the infected area? “As a School of Engineering and Applied Sciences, we take immense pride in the profound impact our faculty have on society, and we remain committed to fostering an environment that cultivates innovation, collaboration and societal responsibility.” “I am extremely proud of the research that our early career faculty are leading,” says Kemper Lewis, dean and professor of the School of Engineering and Applied Sciences. In total, they will receive nearly $2.9 million in funding for their respective projects, which include both research on pressing societal problems and outreach to diverse communities. Erdem Sariyuce and Ziming Zhao, assistant professors in the Department of Computer Science and Engineering Prathima Nalam, assistant professor in the Department Materials Design and Innovation and Sangwoo Shin, assistant professor in the Department of Mechanical and Aerospace Engineering, are recipients of one of the most prestigious honors for early-career scientists and engineers. ![]()
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