Results: 364

The Lane Family Ethics in Technology Program begins next fall for a three-year trial run and seeks to integrate ethics into engineering and computer science, addressing new ethical quandaries that have come along with the advancement of technology. read more about Morality and machines: New program aims to integrate ethics into technology curriculum »

Professor Cynthia Rudin comments on an AI approach to finding patterns between related crimes she helped invent while at MIT, along with former student Tong Wang, Lt. Daniel Wagner and Rich Sevieri of the Cambridge PD. These ideas are now being implemented in software at the NYPD to solve crimes! read more about NYPD Unveils Controversial Algorithm to Track Crime Patterns »

Alumnus Lirong Xia graduated from Duke in 2011 with a PhD in Computer Science and in 2010 with an MA in Economics at Duke. Now a CompSci associate professor at Rensselaer Polytechnic Institute (RPI), he has published a book entitled Learning and Decision-Making from Rank Data. This is part of Mongan & Claypool's Synthesis Lectures on Artificial Intelligence and Machine Learning. The Book Lirong’s book surveys recent progress toward addressing learning… read more about Duke CompSci Alumnus Lirong Xia Publishes Book on AI and ML »

Duke Computer Science professor Cynthia Rudin, along with colleagues Aaron Struck (Wisconsin), Berk Ustun (Harvard), and Brandon Westover (Massachusetts General Hospital) are finalists for the 2019 Innovative Applications in Analytics Award (IAAA) for their work "Transparent Machine Learning Models for Predicting Seizures in ICU Patients from cEEG Signals." Their interpretable machine learning model for predicting seizures in ICU patients is currently in use, and stands to have a… read more about Duke's Cynthia Rudin and Colleagues from Wisconsin, Harvard, and Mass General are IAAA Finalists »

Duke Sophomore Alex Balfanz used his programming skills to develop the wildly popular Jailbreak game, earning millions. His ongoing improvements and coding updates keep the players coming back. Initially drawn to Duke's machine learning department and now studying computer science and statistics, Balfanz says "I always knew I wanted to do programming for my career. . . I just want to keep doing what I love." read more about Jailbreak computer game made Duke Computer Science student Alex Balfanz millions »

Ashwin Machanavajjhala, Duke computer science professor and privacy expert, spoke on “Public Use Data Products and Privacy Protection: Experiences from the Front Lines” at the AAAS Annual Meeting. Currently assisting the 2020 Census team to modernize their data publications using differential privacy (DP), Professor Machanavajjhala’s recent work includes “Utility-cost of Provable Privacy: A Case Study Using United States Census Data.”   Dr. John Abowd, the U.S. Census Bureau’s Chief Scientist and… read more about Ashwin Machanavajjhala spoke at AAAS Annual Meeting on Privacy and the Census »

FICO recently announced winners of the inaugural explainable machine learning challenge. Duke Computer Science received the FICO Recognition Award for going above and beyond expectations with a fully transparent global model and a user-friendly dashboard. Duke's team included Cynthia Rudin, Chaofan Chen, Kangcheng Lin, Yaron Shaposhnik, Sijia Wang, and Tong Wang. read more about Duke Computer Science receives FICO Recognition Award »

It's the 50th anniversary of SIGCSE, the pre-eminent international conference on computer science education. To commemorate the occasion, just 20 papers from the last 50 years were nominated for consideration as the top 10 most influential and important papers of all time. Authored by Owen Astrachan, Duke Professor of the Practice of Computer Science, and three then undergraduate Duke students, the paper Design patterns: an essential component of CS curricula was nominated… read more about Astrachan, Berry, Cox, and Mitchener Nominated for SIGCSE Top 10 Symposium Papers of All Time Award »

The computer science department is proud to acknowledge that PhD candidate Brandon Fain was selected as a 2019 Teaching Award Recipient. The 2019 recipients of the Dean’s Awards for Excellence in Mentoring, Excellence in Teaching and Inclusive Excellence in Graduate Education were just announced on January 14, and the Awards Ceremony will take place in March 2019 at the Sarah P. Duke Gardens.   This is a well-deserved recognition for Brandon's hard work. A highly competitive award, Brandon… read more about Brandon Fain Wins the 2019 Dean's Award for Excellence in Teaching »

Jeff Forbes, Associate Professor of the Practice of Computer Science was recently awarded a substantial grant through a partnership with Siegel Family Endowment. The grant funds a project originating in an October 2018 ACM report, "Lighting the Path: From Community College to Computing Careers.” Forbes led the development of this report, and he also chaired the ACM Education Policy Committee. Findings from the ACM report will be converted into actionable recommendations that will be… read more about Jeff Forbes Awarded Grant to Develop Computer Science Degree and Career Paths for Minority Students »

Bob Wagner, Professor Emeritus of Computer Science at Duke University, passed away in December 2018. Bob joined the Department of Computer Science at Duke in 1978 and retired in 2007. Over the span of three decades, he served the department in multiple capacities. He was well known for his foundational work in algorithms and complexity, especially string algorithms. read more about Computer Science Emeritus Professor Bob Wagner Dies »

With organizations like Facebook currently proposing that employees and external third parties analyze sensitive user data, a need exists for the analysis of sensitive data by systems with strong privacy guarantees.  Machanavajjhala and Kotsogiannis will present compelling research on just this topic in their paper "Architecting a Differentially Private SQL Engine." At the biennial Conference on Innovative Data Systems Research on Jan. 14, 2019, they will unveil their revolutionary system… read more about Machanavajjhala and Kotsogiannis Present Novel Private Database System at CIDR 2019 »

Congratulations to Shalin Shah and John Reif for winning the 2018 Best Presentation Award at DNA24, the 24th International Conference on DNA Computing and Molecular Programming last semester. This conference was organized by the International Society for Nanoscale Science, Computation and Engineering (ISNSCE).   Their winning paper was on “Temporal DNA Barcodes: A Time-Based Approach for Single-Molecule Imaging.” Shah and Reif developed a similar technique… read more about Shah and Reif Receive Best Presentation Award at DNA24 Conference »

Bruce M. Maggs, the Pelham Wilder Professor of Computer Science, has been named an ACM Fellow for his contributions to the development of content distribution networks and the theory of computer networks. As a fellow, Maggs joins a select group of the top 1% of ACM professional members. ACM, the Association for Computing Machinery, is the world's largest educational and scientific computing society. read more about Bruce Maggs Named ACM Fellow »

Congratulations to Aaron Lowe and Pankaj Agarwal for winning the 2018 Best Paper Award at the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems in November. Their winning paper was on “Flood Risk Analysis on Terrains under the Multi-Flow-Direction Model.” It examines the flooding query problem, using a data structure that quickly estimates how much rain has to fall in a region so that a query point is flooded. The goal of the paper… read more about Aaron Lowe and Pankaj Agarwal Win 2018 Best Paper Award at ACM SIGSPATIAL »

We live in a world where data is the new currency. Every aspect of our lives is tracked digitally, especially through the internet and mobile devices. However, sensitive information can be gleaned from this data and could cause social and financial harm to the individual. Ashwin Machanavajjhala is a brilliant, creative scholar and pioneer in the important field of database privacy. While he could have spent his career in industry, his desire to blend research with teaching led him to a faculty position at… read more about Privacy Expert Awarded for Teaching Excellence »

With an endless onslaught of news and opinion pounding us from traditional outlets, blogs and social media, fact-checking helps a weary public determine which political claims are accurate and which ones aren’t. A fact-checking app being developed by a team lead by Jun Yang and and Bill Adair will rely on a database of fact-checks that were published by organizations such as The Washington Post, PolitiFact and The database grew out of an earlier partnership between the Reporters’ Lab and… read more about Real-Time Fact-Checking: There's (Almost) An App For That »

Graduate student awards for 2017-18 were presented at the 2018 annual departmental meeting. Congratulations to the recipients: Outstanding PhD Dissertation Rupert Freeman Advisor: Vincent ConitzerEliciting and Aggregating Information for Better Decision Making Xi He (ACM Dissertation Award Nominee) Advisor: Ashwin MachanavajjhalaPolicy Driven Data Sharing with Provable Privacy Guarantees Nathaniel Kell Advisor: Debmalya PanigrahiAlogorithms For… read more about Grad Student Awards 2017-18 »