Department news
CS&E Ph.D. Student Mo Houtti Earns Honorable Mention Award at ACM-CSCW
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The paper titled, “‘All of the White People Went First’: How Video Conferencing Consolidates Control and Exacerbates Workplace Bias”, explores workplace bias in video conferencing and interventions to mitigate bias.
Vipin Kumar Leads $1.2M Grant on Deep Learning for Inverse Modeling
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Regents Professor Vipin Kumar will lead a $1.2 million grant from the National Science Foundation with a focus on deep learning for inverse modeling.
CSpotlight: The Art of Learning Languages
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Sanjali Roy talks about her love for languages and how that has influenced her work as a computer science student.
George Karypis Part of $4.5 Million Grant to Apply Machine Learning to Material Sciences
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The four-year project will establish foundational machine learning models that can be applied to material sciences.
Boujè: A Different Way to Look at Social Media
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B.S. student Apekshik Panigrahi created a new social media app where your friends control your account and vice versa.
Meet the Faculty - Yogatheesan Varatharajah
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Yogatheesan Varatharajah joined the Department of Computer Science & Engineering in fall 2023 as an assistant professor. He is broadly interested in leveraging the recent advances in machine learning (ML) to improve the healthcare system.
CSpotlight: Finding A Community That Shares My Passions
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Rimika Dhara talks about finding her community in Computer Science and Engineering at the University of Minnesota.
Mashaal Musleh Wins Best Demo Award at 2023 ACM-SIGMOD
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Specifically, the system Musleh created, named KAMEL, adapts artificial intelligence (AI) models to trajectory data in order to make predictions about locations.
AI-CLIMATE: Broadening Participation in Climate-Smart Agriculture and Forestry
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In addition to broadening participation within farming and forestry communities, Ogutu, Roop and Gini’s work will help develop and educate a diverse AI workforce.
Ju Sun Part of $1.2M Grant to Study Role of AI in Breast Cancer Treatment
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The funding will be used to help develop an innovative computational framework for artificial intelligence (AI)-driven healthcare research with imbalanced data.