Michigan Engineering | University of Michigan Twelve students and faculty co-authored papers spanning several key application areas for AI.
Seven papers by CSE researchers presented at AAAI 2021
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Fairer AI for long-term equity
Prof. Mingyan Liu is a key member of a project to mitigate bias in Artificial Intelligence and Machine Learning systems for long-term equitable outcomes.
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Zeyu Zheng selected for JP Morgan PhD Fellowship
His work on reinforcement learning is aimed at accelerating the training of RL agents.
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Elaheh Ahmadi receives CAREER Award to improve efficiency in high power electrical systems
The research could improve efficiency in systems such as electric vehicles, grid systems, mass transit, and industrial automation
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New database sheds light on Michigan’s videogame boom
The Michigan Game Studios database, developed by lecturer Austin Yarger, helps organize the state’s rapidly growing scene.
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‘Solving for equity’: A Michigan Robotics course flips the script on engineering ed
ASEE Prism magazine explores how linear algebra could level the playing field.
The post ‘Solving for equity’: A Michigan Robotics course flips the script on engineering ed appeared first on Michigan Engineering News.
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Demba Komma awarded Microsoft Research Ada Lovelace Fellowship for research on IoT localization technologies
Komma, a PhD student, is working to develop robust low powered localization technology for Artificial Intelligence enabled Internet of Things in locations where GPS is limited or blocked.
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Kaleo Roberts receives scholarship from the American Indian Science and Engineering Society
Roberts works to improve remote sensing of soil moisture, which is important for environmental conservation, natural resource management, and agriculture.
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Hacking reality
Microphones that “hear” light; microprocessors that “tell” us secrets; self-driving cars that “see” fake objects; sensors that “feel” the wrong temperature. Our devices are under attack in new, increasingly sophisticated ways. Security researchers at CSE are exploring the limits of hardware and finding new, sobering vulnerabilities in our computers and homes.
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Building a testing-free future
How automated guarantees that our most complex programs are secure and trustworthy can save us time, money, and anxiety.