Archana Venkataraman, member of the MINDS faculty and a John C. Malone Assistant Professor in the Department of Electrical and Computer Engineering, has been named to MIT Technology Review’s 2019 list of 35 Innovators under 35. The annual list recognizes outstanding innovators from a wide range of fields whose work promises
Vishal Patel and Rene Vidal join partnership to advance machine learning, artificial intelligence
Vishal Patel, an ECE Assistant Professor and a member of Johns Hopkins University’s Mathematical Institute for Data Science (MINDS), and Rene Vidal, the Herschel L. Seder Professor in JHU’s Department of Biomedical Engineering (with a secondary appointment in ECE) and the director of MINDS, have joined a new interdisciplinary research consortium
Vladimir Braverman received a Best Paper Award at FAST ’19
Load balancing is critical for distributed storage to meet strict service-level objectives (SLOs). It has been shown that a fast cache can guarantee load balancing for a clustered storage system. However, when the system scales out to multiple clusters, the fast cache itself would become the bottleneck. Traditional mechanisms like cache
Carey Priebe’s paper “On a `Two Truths’ Phenomenon in Spectral Graph Clustering” has been accepted for publication at PNAS
Clustering is concerned with coherently grouping observations without any explicit concept of true groupings. Spectral graph clustering – clustering the vertices of a graph based on their spectral embedding – is commonly approached via K-means (or, more generally, Gaussian mixture model) clustering composed with either Laplacian or Adjacency spectral embedding (LSE
Students win best poster at Princeton Day of Optimization
Poorya Mianjy and Raman Arora won best poster at the Princeton Day of Optimization for their project titled “On the Implicit Bias of Dropout.”
Five papers from professors Arora and Vidal’s teams have been accepted for presentation at ICML 2018
ICML is the leading international machine learning conference and is supported by the International Machine Learning Society (IMLS). The 35th International Conference on Machine Learning (ICML 2018) will be held in Stockholm, Sweden from Tuesday, July 10 to Sunday, July 15, 2018. The conference will consist of one day of tutorials (July 10),
QnAs with Donald Geman
With the proliferation of “omics” technologies, personalized medicine—which tailors treatment to an individual’s genomic profile—promised a revolution in care. That revolution, says applied mathematician Donald Geman, has been slow to arrive. Geman has spent nearly four decades devising statistical methods for a variety of applications. He recently teamed up with an
Can we teach computers to be digital detectives?
Imagine standing on the sidewalk of a busy city street, taking in your surroundings. “When you or I look at that scene, we have a task in mind—whether to find a place to eat or shop, the metro station, or a particular person,” says René Vidal, a Johns Hopkins professor of biomedical
Rene Vidal speaking about Artificial Intelligence and Machine Learning in Biomedicine and Health Care
Rene Vidal, professor of biomedical engineering, will be speaking at the Association of American Medical Colleges GRAND Spring Conference on Thursday, April 19. Learn more
MINDS partners with HopHacks for Data Science Challenge
Twice a year, Johns Hopkins University hosts HopHacks, a popular hackathon challenge in Baltimore, Maryland. Students from across JHU and other institutions work in teams to bring a software or hardware idea to life. As part of the most recent event, which took place February 16, 2018, HopHacks partnered with the