A Mathemalchemy: An Adventure in Math and Art exhibit. Duke's Department of Computer Science, along with the Department of Electrical and Computer Engineering, hosted a unique "insider access" exhibition and reception on Thursday, October 17, for ”Mathemalchemy: An Adventure in Math and Art” at MoMath, the National Museum of Mathematics in New York City.James B. Duke Distinguished Professor Emeritus of Mathematics Ingrid Daubechies, co-creator of the exhibit who The New York… read more about Duke Alumni and Friends Experience Mathemalchemy: An Adventure in Math and Art at National Museum of Mathematics »
Cells rely on complex molecular machinery to perform essential functions such as energy production and protein synthesis. To understand how these molecular machines impact health and disease, scientists can study their organization by using state-of-the-art cryo-electron tomography (cryo-ET) technology to acquire high-resolution images of native cellular landscapes. This approach is exciting because it allows researchers to directly observe how and where proteins interact with each other within the cell.However, locating… read more about Uncovering Molecular Patterns Using AI »
As the need for talented innovators in the field of computing grows, cultivating a robust and diverse workforce becomes increasingly essential. Co-chaired by Susan Rodger, professor of the practice of Computer Science, the Computing Research Association’s Committee on Widening Participation (CRA-WP) addresses this need. CRA-WP is one of several National Science Foundation (NSF) Broadening Participation in Computing (BPC) Alliances that receive funding as part of a key initiative aimed at… read more about Computing Research Association’s Committee on Widening Participation Receives $5.2 Million Investment from National Science Foundation »
In the culmination of an academic career spanning nearly 29 years, Professor Alvin ‘Alvy’ R. Lebeck retired from Duke University at the end of September. Lebeck, who holds a primary appointment in the Department of Computer Science and a secondary appointment in Electrical and Computer Engineering, is an innovator in computer architecture and systems. Lebeck’s research employs a combination of interdisciplinary and conventional research methods, with a foundation in computer architecture and systems. His… read more about Professor Alvin ‘Alvy’ R. Lebeck Retires After Nearly 29 Years at Duke »
Combining a tool she loves and a topic she cares about, Assistant Professor Monica Agrawal uses computational methodologies to study the multiple scales of human health. read more about Monica Agrawal Uses Computational Methodologies to Study Human Health »
Assistant Professor of the Practice Eric Fouh looks at computer science education though a particularly human angle: emotional self-regulation and the role it plays on learning. read more about Eric Fouh Is Bringing Self-Regulation to Computer Science Education »
Michael Reiter, James B. Duke Distinguished Professor of Computer Science and Electrical & Computer Engineering, was the recipient of the 2024 Lasting Research Award from the Association for Computing Machinery Conference on Data and Application Security and Privacy (ACM CODASPY). Reiter’s research focuses on computer and communications security, fault-tolerant distributed computing and applied cryptography. The award recognizes his work on “vulnerability detection in systems, applications and machine learning models,… read more about Reiter Recognized for his Work on Computer Security and Privacy »
Duke Computer Science's Theory Group members are honored to have eight papers accepted at the January 2024 ACM-SIAM Symposium on Discrete Algorithms (SODA) conference, with six of the Duke CS papers co-written by our graduate students. Read a brief summary of one of these papers, "Fair Price Discrimination," below. Imagine a scenario where a seller is selling copies of an item, like tickets to a museum or copies of a computer software. Each buyer can potentially value the item… read more about New Research with Machine Learning Tools Helps Determine "Fair Price Discrimination" »
Duke Computer Science's Theory Group members are honored to have eight papers accepted at the January 2024 ACM-SIAM Symposium on Discrete Algorithms (SODA) conference, with six of the Duke CS papers co-written by our graduate students. Read a brief summary of one of these papers, "Beyond the Quadratic Time Barrier for Network Unreliability," below. The unreliability of a network, defined as the probability that it disconnects under random (and independent) connection failures,… read more about New Research Goes "Beyond the Quadratic Time Barrier" »
