Jun Yang
Real-Time Fact-Checking: There's (Almost) An App For That

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 FactCheck.org. The database grew out of an earlier partnership between the Reporters’ Lab and Google.

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Organ matching process
How AI Changed Organ Donation in the US

A person stepping forward to donate a kidney can set off a chain that saves dozen of lives. An article in Quartz features  work by Vince Conitzer and his colleagues in AI, economics, and philosophy.

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Vincent Conitzer
Vince Conitzer Receives NSF Grant for AI Research

Vincent Conitzer has been awarded an NSF grant titled "RI: Small: Designing Preferences, Beliefs, and Identities for Artificial Intelligence." Total funding is $400,000.

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2018 Undergrad Awards Recipients
Undergraduate Awards Presented 2018

Congratulations to recipients of the 2018 undergraduate student awards which were presented at commencement ceremonies on May 13.   

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Tianyu Wang
Tianyu Wang Named an Energy Data Analytics Fellow

Tianyu Wang (G) has been named to the inaugural cohort of Energy Data Analytics PhD Student Fellows.  

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mHealth poster
Undergraduate Research Showcase 2018

The inaugural Computer Science Undergraduate Project Showcase celebrated student inquiry in computer science. Students presented 22 posters on projects from mentored research, class projects, and independent work.  More | Photos

Amanda Randles
Amanda Randles Receives ACM Grace Murray Hopper Award

Amanda Randles has been named the recipient of the 2017 ACM Grace Murray Hopper Award for developing HARVEY, a massively parallel circulatory simulation code capable of modeling the full human arterial system at subcellular resolution.  ACM | People of ACMDuke BME

Lee Research Group
Duke Research Team Wins HPCA Best Paper Award

Co-first authors Seyed Majid Zahedi (G) and Qiuyun Llull, and Benjamin Lee won the HPCA Best Paper Award for a processor allocation framework that uses Amdahl’s Law to apportion resources fairly among data center users.  

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Sudeepa Roy
Sudeepa Roy: Making Sense of “Big Data” Databases

As numbers and facts continue to accumulate in today’s world of big data, a growing challenge is how to sift through the reams of data for relevant discoveries. Enter Sudeepa Roy, assistant professor of computer science. Roy is a database researcher who is creating new ways to help mine enormous data sets for meaning.

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Presentation of award
AAAI 2018 Student Paper Award Given for paper Co-authored by Conitzer and Freedman

An algorithm trained to decide which patient receives a donor kidney wins AAAI 2018 Student Paper Award.  Rachel Freedman (AB '17) and Vincent Conitzer are co-authors. 

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Shadow on dumpster
Rudin Uses Machine-Learning Algorithm to Predict Re-Arrest

Cynthia Rudin writes about scrapping secret proprietary algorithms in decisions about bail, sentencing, and parole in favor of transparent machine-learning algorithms such as CORELS.

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Research graphic
Reif and Students Research DNA Computing Time Using Locality

A core principle of computer architecture for fast computing is the principle of locality. Adopting a similar principle for DNA computing, John Reif and students Hieu Bui, Shalin Shah, Reem Mokhtar, Tianqi Song, and Sudhanshu Garg show that a significant improvement in computing time is possible by using the principle of locality. More in ACS Nano Journal.

Debmalya Panigrahi
Panigrahi Receives NSF CAREER Award

Debmalya Panigrahi has received a CAREER Award from the National Science Foundation for a project entitled "CAREER: New Directions in Graph Algorithms." Total funding will be $515,998 over 5 years. The award will support Panigrahi's research into fundamental problems in graph algorithms seeking generic solutions for core algorithmic challenges in modern networks: efficiency at scale, uncertainty and impreciseness of network requirements, and correlation effects. This is NSF's most prestigious award in support of junior faculty.

 

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Professor Bruce R Donald
NIH Grant Awarded to Donald

Bruce Donald has been awarded a new R01 grant from the NIH entitled "Deep Topological Sampling of Protein Structures." Total funding will be $1.2M over 4 years.

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Xi He
Xi He Awarded 2017 Google Fellowship

Xi He (G) has been awarded a Google 2017 Fellowship. Her project is titled "Private Mobility Data Publication, Integration." The fellowship begins on September 1.  

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Handcuffs
Rudin Trains Computers to Predict Recidivism

Cynthia Rudin and colleagues are training computers to build statistical models to predict future criminal behavior, called recidivism, that are just as accurate as black-box models, but more transparent and easier to interpret.  

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3-d models of household items
Burchfiel Helps Robots See in 3D

Ben Burchfiel (G) and his thesis advisor have developed new technology that enables machines to make sense of 3-D objects in a richer and more human-like way.

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Professor Ashwin Machanavajjhala
Machanavajjhala receives Influential Paper Award

Ashwin Machanavajjhala has received the IEEE ICDE 2017 Influential Paper Award for his 2006 paper "L-diversity: privacy beyond k-anonymity."

Screen capture of Tay Tweets
Rudin Creates Tools for Transparent Algorithms

Algorithms, like humans, can discriminate. Cynthia Rudin addresses this problem by creating publicly available tools for transparent algorithms.

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Professor Cynthia Rudin
Rudin Designs Algorithms to Help Turn Raw Information into Informed Choices

Cynthia Rudin, a rising star in the field of machine learning, focuses on writing algorithms that are easily interpretable by human experts for practical tasks like predicting energy grid reliability or diagnosing sleep apnea. She holds a dual appointment in Computer Science and the Department of Electrical and Computer Engineering.

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Professor Vincent Conitzer
Conitzer Takes CCC Blue Sky Award

Vincent Conitzer is one of three winners of Blue Sky Awards sponsored by CCC (Computing Community Consortium) for his paper "Moral Decision Making Frameworks for Artificial Intelligence."

Duke Receives Three Architecture Top Pick Honorable Mentions

Three papers from Ben Lee’s and Alvin Lebeck’s research groups were selected for honorable mention as IEEE micro top picks in computer architecture for 2016.

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Yan Chen
Chen Receives Best Paper Award

Yan Chen's (G) paper, "Differentially Private Regression Diagnostics," has been selected as one of the best papers at the International Conference on Data Mining (ICDM) 2016.

Professor Carlo Tomasi
Tomasi Named ACM Fellow

Carlo Tomasi, Iris Einheuser Professor of Computer Science, has been named an ACM Fellow for his contributions to computer vision. As a fellow, Tomasi 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.

Professor Alvin Lebeck
Lebeck Elevated to IEEE Fellow

Alvin Lebeck has been elevated to IEEE Fellow in recognition of his contributions to memory hierarchies and energy-efficient and parallel computing. Less than 0.1% of voting IEEE members are selected annually for elevation to fellow status. This is IEEE's highest honor.

Professor John Reif and students
DNA Circuit Does Math in Test Tube: SciWorks Radio Interviews Reif

John Reif and Tianqi Song (G) have created an analog DNA circuit that can add, subtract and multiply as the molecules form and break bonds. SciWorks | Article

Yang and Walenz Develop Political Fact-Checking Site

Jun Yang and Brett Walenz (G) have created the iCheck website for checking the accuracy of congressional voting claims. Article | iCheck site

Screencap of research pages
He, Raval, Machanavajjhala Take Best Demo Award at VLDB 2016

Xi He (G), Nisarg Raval (G), and Ashwin Machanavajjhala won the VLDB 2016 Best Demonstration Award for "VisDPT: Visual Exploration of Differentially Private Trajectories."

Robot
Konidaris and Sorin Take on Challenges of Robotic Motion Planning

A fast and power-efficient processor developed by Dan Sorin and George Konidaris opens up new opportunities for robots and autonomous vehicles.

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Professor Sudeepa Roy
Roy Receives NSF CAREER Award

Sudeepa Roy has received a CAREER Award from the National Science Foundation for a project entitled "CAREER: FIREFLY - Rich Explanations for Database Queries." Total funding will be $550,000 over 5 years. This award will support Roy's research into providing automatic explanations to help a range of people harness Big Data more efficiently. This is NSF's most prestigious award in support of junior faculty who exemplify the role of teacher-scholars.

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Smart phone camera
Cox, Machanavajjhala, Srivastava Develop Video Privacy Tool

Landon Cox, Ashwin Machanavajjhala, Animesh Srivastava (G), and other Duke computer scientists have developed software that helps prevent inadvertent disclosure of trade secrets and other restricted information within a camera's field of view by letting users specify what others can see.

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Device for testing motion planning robot
Team Led by Konidaris and Sorin Develops Motion Planning Processor

George Konidaris, Dan Sorin, and CS students Will Floyd-Jones (U) and Ying Qi (U) have introduced a specially-designed computer processor for motion planning that can plan up to 10,000 times faster than existing approaches.

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Camera assesses child's emotional state
Sapiro, Calderbank Collaborate on Autism Detection App

The Autism & Beyond team at Duke, which includes Robert Calderbank and Guillermo Sapiro, has introduced a free iOS app to detect and study autism in young children. DukeToday | DTMI

Summer undergrad program participants
Summer Undergraduate Enrichment Experiences 2015

The Computer Science Department provided rising sophomores, juniors and seniors with summer research experiences from May to August 2015. In addition to the individual research projects, students also participated in a weekly seminar of faculty and graduate student speakers to learn about other research ongoing in the department.

Research graphic
Donald and Hallen Work to Outsmart HIV

Bruce Donald, Mark Hallen (G), and colleagues have published a 3-D close-up of a designer protein that, if injected into patients, could help the immune system make better antibodies against the HIV virus.

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Professor George Konidaris and robot
Introducing the New CS Robot

Meet the newest member of the department, George Konidaris's robot. It will be his primary research platform, to be used in three broad areas: 1) research into automatically learning motor control skills, like opening doors or playing table tennis, 2) learning abstract representations of the world that can be used to reason and plan at a high level, and 3) learning how to manipulate every-day objects - figuring out what they do and how they work; for example, discovering how to operate a microwave, what each button does, etc.

Professor Alex Hartemink
Hartemink Receives NHGRI Grant

Alex Hartemink is part of a diverse Duke team to receive $5.9 million from the National Human Genome Research Institute to characterize how human lung epithelial cells respond to anti-inflammatory drugs called glucocorticoids. The team includes Medical School faculty members Tim Reddy and Greg Crawford, and the Pratt School's Charles Gersbach.

Equipment donated by Yahoo!
Yahoo! Donates Equipment

Yahoo! has donated 300 servers and four switches to Duke CS. The equipment will enable Shivnath Babu and Theo Benson to study the problems that big-data frameworks (e.g. Hadoop) and cluster management paradigms (e.g. Software Defined Networking and OpenStack) encounter, and search for ways to make them perform better and more reliably.

Image created by Lei Chen and Yan Liang
OSPREY Software Predicts Superbugs' Countermoves to New Drugs

Software created by the Donald Lab aids scientists in devloping pre-emptive drug strategies.

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Pablo Gainza
TIME Reports on Gainza's Research

Pablo Gainza (G) and his colleagues in the Donald Lab created OSPREY software which predicts the most likely mutations to come out of certain bacteria.

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