Generating new music inspired by existing music datasets is a major area of interest for Zhiqian “Danny” Chen, a Ph.D. student at the Discovery Analytics Center. “Music, with its complex hierarchical and sequential structure and its inherent emotional and aesthetic subjectivity, is an intriguing research subject at the core of human creativity,” said Chen. “And […]
The Discovery Analytics Center continually brings together computer scientists, engineers, and statisticians to meet the research and workforce needs of today’s data-driven society. This fall, DAC welcomes two new faculty to bolster its strengths in information retrieval, data mining, human-computer interaction, and information science. The two new faculty members are Jiepu Jiang and Anuj Karpatne, both […]
Chen Gao traveled to Newcastle, United Kingdom, last month to present a paper on human-object interaction at the 29th British Machine Vision Conference, a major international conference on computer vision and related areas held in the UK. Gao is a first-year Ph.D. student in the Bradley Department of Electrical and Computer Engineering. After graduating with […]
Chris North, associate director of the Discovery Analytics Center, and Ph.D. students Michelle Dowling and John Wenskovitch will be in Berlin, Germany, from Oct. 21 to 26, attending the 2018 IEEE VIS Conference. In addition to presenting their research, the three are organizers of a conference workshop: Machine Learning from User Interaction for Visualization and […]
The prospect of being located in the heart of Northern Virginia drew Rongrong Tao to Virginia Tech and the Discovery Analytics Center in the National Capital Region. A Ph.D. student who earned a master’s degree in computer science at the University of Michigan in Ann Arbor, Tao conducts research on misinformation detection and analysis. “This […]
Ellis Kessler graduated from Virginia Tech in the spring of 2017 with a bachelor’s degree in mechanical engineering. The following fall, he was back at the university working toward a Ph.D. “As an undergraduate, I knew I wanted to do some kind of research with vibrations or structural dynamics. My adviser, Pablo Tarazaga, taught about […]
Jonathan Baker and Sirui Yao, Ph.D. students at the Discovery Analytics Center, and Leanna Ireland, a National Science Foundation research trainee in the Urban Computing (UrbComp) Certificate program administered through DAC, have each been awarded a Deloitte Foundation Data Analytics Fellowship in the amount of $10,000 to fund their research. Baker, also a National Science […]
In his research, Kaiqun Fu uses spatial data mining, urban computing, and machine learning to infer crime rates/types from street view images, roadway networks, and criminal records. Applying deep learning methods also uncover hidden safety-related patterns from the physical appearance of street blocks that help address urban safety issues.
Sorour Ekhtiari Amiri developed an interest in machine learning during her senior year of college. After earning a bachelor’s degree in computer engineering from Beheshti University, she worked on machine learning applications while getting a master’s in computer engineering at the University of Tehran. Amiri then decided to pursue a Ph.D. in computer science.
Yuliang Zou, a Ph.D. student at the Discovery Analytics Center, was in Munich, Germany, earlier this week to participate in the 2018 European Conference on Computer Vision ECCV. The conference, held every other year, is one of the most influential academic conferences for this area of research.