EECS Research

John Gahl (left) and Caleb Philipps, senior research scientists at the University of Missouri Research Reactor, prepare a sample to be loaded into the scanning electron microscope.

Sparking innovation for research

A scanning electron microscope at the University of Missouri Research Reactor will enhance the facility’s investigative capabilities for materials research and discoveries.

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Mizzou Engineer developing system to combat cybersickness experienced by soldiers using XR goggles

In theory, augmented and virtual reality are ideal tools to train soldiers for battle in safe, controlled settings. In reality, these extended reality (XR) goggles are causing all sorts of problems — headaches, nausea, eye strain and other forms of so-called cybersickness.

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Researcher outlines process to simplify manufacturing of solid-state lighting

LED lighting is replacing traditional incandescent lighting across the country. These light-emitting diodes are energy efficient, but also problematic. Not only are they costly, they also emit harsh blue lighting that’s polluting our night sky and interrupting our sleep patterns. Mizzou Engineering’s Peifen Zhu is coming up with better solid-state lighting technology.

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Engineering team places first, third at inaugural segmentation challenge

A Mizzou Engineering team took first and third place at a new competition aimed to advance methods to not only detect but also trace the 3D shape of a specific type of brain lesion in newborns. The BONBID-HIE Lesion Segmentation Challenge was part of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023) and sponsored by Boston Children’s Hospital and its Fetal-Neonatal Neuroimaging Developmental Science Center and Harvard Medical School.

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Calyam leading efforts to establish zero trust cybersecurity approach for battlefield communications

A Mizzou Engineer is leading efforts to establish a new cybersecurity approach to better protect classified information and communications on the battlefield. Prasad Calyam — Greg L. Gilliom Professor of Cyber Security and director of the Mizzou Center for Cyber Education, Research and Infrastructure — is leading the project as Principal Investigator of a National Security Agency grant.

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Team devising methods to make computer chips more energy efficient, sustainable

A Mizzou Engineering team is devising a method to make computer chips designed to run deep neural networks (DNNs) not only reliable, but also energy efficient and sustainable.

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Mizzou Engineer secures NSF grant to increase computational storage at MU

A Mizzou Engineer is leading an interdisciplinary project that will provide a large-scale storage solution for the thousands of images being generated daily and will leverage artificial intelligence to help researchers analyze the data they collect.

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Longtime AI researcher stays grounded as new bots turn field upside down

Generative artificial intelligence (AI) systems such as ChatGPT can provide a lot of convincing answers to user queries. What these models can’t do so well is explain how they derived their result and how confident they are in the output.  And large language models (LLMs) aren’t the only machines making decisions that impact us. Professor Derek Anderson has been studying complex issues around AI for 20 years.

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Mizzou Engineering team develops video retrieval system based on captioning

t’s not hard to search for a cute cat video on the internet. But if you want to find a video of a cat chasing a dog down a street on a sunny day, it gets trickier. Now, a Mizzou Engineering team has developed a novel system that relies on image captioning to find video clips of specific objects and scenes.

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AI software can predict ‘roadmap’ for protein location, biological discoveries

Recently, Dong Xu, Curators' Distinguished Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri, and colleagues updated their protein localization prediction model, MULocDeep, with the ability to provide more targeted predictions, including specific models for animals, humans and plants.