Powering Real-World Solutions with Low-Energy Devices |
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Over the past decade, the Internet of Things (IoT) has become part of everyday life, powered by advances in sensors, wireless networks, and artificial intelligence (AI). But as these devices get smarter and more connected, they run into big challenges, especially with energy and security. Most devices run on small batteries, which makes it hard to use advanced AI that needs a lot of power. They also struggle to keep data secure, even though these devices constantly collect personal and sensitive information. That’s why, even though IoT devices are everywhere, they are mostly used in simpler areas like smart homes, where energy use and security are less of a concern. To bring IoT into more critical areas like healthcare and agriculture, we need new ways to solve these energy and security problems. In this talk, I will share ideas on how to make IoT devices last longer, stay secure, and help tackle real-world problems in society. I will start by explaining the key challenges of making these small devices, both energy-efficient and secure. Then I will introduce some new approaches to keeping devices connected and smart without draining too much energy. Finally, I will show how low-power IoT can support sustainable farming, helping both the environment and society. |
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Younghyun Kim is an Associate Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University, leading the Networked and ded Intelligent Systems Lab, and a faculty member of the Institute for Chips and AI, Center for Education and Research in Information Assurance and Security (CERIAS), Applied AI Research Center (AARC) at Purdue. Before joining Purdue in 2024, he was with the University of Wisconsin-Madison from 2016 to 2023. He was a Postdoctoral Research Assistant at Purdue University from 2013 to 2016. He received his Ph.D. degree in Electrical Engineering and Computer Science in 2013 and B.S. degree (highest honor) in Computer Science and Engineering in 2007, both from Seoul National University. His Ph.D. dissertation won the EDAA Outstanding Dissertation Award (2013). He is a recipient of the NSF CAREER Award (2019), Meta Research Faculty Research Award (2021), and other awards for innovative publications, designs, and demonstrations. He is a Co-PI of the NSF National AI Institute for Edge AI supported by NSF and DOH, and his research is supported by various federal agencies and corporations including NSF, USDA, Intel, and Meta. He is also collaborating with universities and industry in Korea, especially on research and education in semiconductors. His research interests include energy-quality scalable computing, edge/applied/physical AI, cyber-physical systems, and security and privacy for ded computing systems. |
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