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KDD keynote speakers Duke Computer Science Professor Cynthia Rudin and Microsoft Healthcare's Corporate VP Peter Lee will address key industry challenges related to data science in interpretable ML and healthcare at KDD 2019. The premier interdisciplinary conference for data science, data mining, knowledge discovery, large-scale data analytics, and big data researchers and practitioners, KDD is Aug. 4-8 in Alaska. read more about KDD 2019 Announces Duke University Computer Scientist Cynthia Rudin as a Keynote Speaker for 25th Annual Conference »

Duke Computer Science's database group presented five (5) research papers and a demo at the SIGMOD 2019 conference in Amsterdam June 30-July 5. Also, a Duke paper on Ektelo was selected for the 2018 ACM SIGMOD Research Highlight Award. SIGMOD is a prestigious international forum on databases for researchers, practitioners, developers, and users to explore and exchange cutting-edge ideas, research, techniques, and tools. Duke Research Papers at SIGMOD 2019 “APEx: Accuracy-Aware… read more about Duke Computer Science at SIGMOD 2019 »

When Associate Chair Richard Lucic joined the Duke University faculty in 1992, the world’s first popular web browser was just about to be released, and the Computer Science department was among the smallest on campus. Things couldn’t be more different today. The global economy has gone digital, the internet has remade the world, and computer science is the most popular major Duke offers. Now the department will have to undergo another large change: operating without Lucic for the first time in 21 years. During his Duke… read more about Professor Richard Lucic Celebrating End of 27-Year Duke Career »

Duke Computer Science undergrad Chunge Wang developed a new app that helps to stop drones from delivering contraband to prisons. In conjunction with an alerting system developed by Duke ECE Professor Mary "Missy" Cummings and team, the Prison Reconnaissance Information System (PRIS) interface notifies prison security personnel when it detects a drone or human intruder. read more about Duke Comp Sci undergrad Chunge Wang develops app to deter drones from delivering prison contraband »

Congratulations to recipients of the 2019 undergraduate student awards presented at commencement ceremonies on May 12. Alex Vasilos Memorial Award  Friends and colleagues of the late Alex Vasilos donated the Alex Vasilos Memorial Award to the Department of Computer Science to recognize deserving students. This year's recipients: Rohith Kuditipudi For first-rate research contributions in several areas, including generative adversarial networks, theoretical guarantees for learning neural… read more about Undergraduate Awards Presented 2019 »

Duke Computer Science Associate Professor and security expert Ashwin Machanavajjhala spoke in Washington, DC on current capabilities of differential privacy and its applications to federal statistical agencies at a workshop held by the National Academies of Sciences, Engineering and Medicine on June 6. read more about Ashwin Machanavajjhala speaks on Differential Privacy in Washington, DC at the National Academies of Sciences »

Conitzer entered his video on consciousness in the National Science Foundation competition, which sets the U.S. agenda for fundamental research in science and engineering. View and comment by June 26 to help select Conitzer's question as vital research to address in the coming decade. read more about Conitzer Submits Video on the "Theory of Conscious Experience" to the NSF 2026 Idea Machine »

The Department congratulates our newest graduates who were awarded degrees for 2018-2019 at commencement ceremonies on May 12, 2019. Visit Facebook photo album. PhD Degrees | MS Degrees | MSEC Degrees | Undergraduate Degrees PhD Degrees Ilker Bozkurt - Advisor: Bruce Maggs. Getting More Out of the Existing Internet Infrastructure To Improve User Experiences. Cassandra Carley - Advisor… read more about 2019 Graduation: Degrees Conferred »

Professor Cynthia Rudin states in this new paper that both “black box” and “explainable” machine learning models carry serious concerns for those who care about justice and accuracy in high-stakes fields like criminal justice and healthcare. read more about Cynthia Rudin's paper "Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead" is published on Nature Machine Intelligence »

Duke's Cynthia Rudin recently demonstrated the real-world impact that interdisciplinary research can make, when her team of two machine learning experts and two neurologists used interpretable models to predict seizures in ICU patients. Rudin and colleagues from Wisconsin, Harvard, and Mass General won first prize in the INFORMS Innovative Applications in Analytics Award competition. Congratulations! read more about Duke's Cynthia Rudin and Colleagues from Wisconsin, Harvard, and Mass General take first prize at IAAA »

Caroline Wang, a junior computer science major at Duke University, has been named a 2019 Goldwater Scholar by the Barry M. Goldwater Scholarship and Excellence in Education Foundation. This is a prestigious national award for undergraduates in the fields of mathematics, science, and engineering. Congratulations! read more about Duke Computer Science undergraduate wins prestigious Goldwater Scholarship »

Duke's Bruce Donald, James B. Duke professor of computer science and researchers from his lab launched Gavilán Biodesign, which uses software to overcome drug resistance and fight cancer. Their company was selected as a startup by IndieBio, a biotech startup accelerator. read more about Bruce Donald and researchers from his Duke lab start company that uses software to overcome drug resistance, fight cancer »

Shalin Shah, John Reif, and Abhishek Dubey of Oak Ridge National Lab just published research on a new imaging technique in which tiny light-up DNA barcodes identify molecules by their twinkling. The team will present their work on April 15, 2019 at the 16th Foundations of Nanoscience Conference (FNANO19). read more about Shah, Reif, and Dubey to Present Temporal DNA Barcode Research at FNANO19 Conference »

Jun Yang, Associate Chair and Duke Professor of Computer Science, recently published Data Management in Machine Learning Systems, with coauthors Matthias Boehm and Arun Kumar. This important book follows a data-centric view of ML systems and provides a comprehensive overview of data management in ML systems for the end-to-end data science or ML lifecycle. read more about Jun Yang Publishes "Data Management in Machine Learning Systems" »

Susan Rodger, a professor of the practice of computer science at Duke University, will receive the 2019 IEEE Computer Society Taylor L. Booth Education Award “for leadership in undergraduate and K-12 computer science education, and for broadening participation of women in computing.” Congratulations! read more about Susan Rodger is Recognized with IEEE Computer Society 2019 Taylor L. Booth Education Award »

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 »