Welcome to VIDA
The Visualization and Data Analytics Research Center at NYU consists of computer scientists who work closely with domain experts to apply the latest advances in computing to problems of critical societal importance, and simultaneously generate hypotheses and methods that new data sources and data types demand.
We work in the areas of Visualization, Imaging and Data Analysis.
Research in graphic design methods as well as the effective use of visualization methods and techniques to explore and interpret high-dimensional data. Our group has worked in urban and sports computing, as well as in the areas of biochemistry, cybersecurity, development, healthcare, climate sciene and human rights.
Development of novel imaging analysis methodologies related to segmentation, shape analysis and image statistics. Our work is multidisciplinary, primarily collaborating with experts in clinical imaging on research in areas including schizophrenia, autism, multiple sclerosis.
Creation of novel data management and analysis methods applied to urban, scientfic, web, and public health domains. Our group has particular expertise in provenance and computational reproducibility and personal-data informatics.
NEWS & EVENTS
08/2022 – Congratulations Haoyue Ping on having his first-author paper “Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences” accepted to SIGMOD. A nice way to finish his PhD thesis!
08/2022 – Aécio Santos is giving a talk on his work on Sketching Methods for Efficient Correlated Dataset Search at the Database Lab
08/2022 – Congratulations to Mengwei Ren and Neel Dey on their paper accepted to NeurIPS 2022:
“Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis”, Mengwei Ren, Neel Dey, Martin A. Styner, Kelly Botteron, Guido Gerig, https://arxiv.org/abs/2206.04281
08/2022 -Congratulations to Jun, Gromit, Brian, Kyle, Kim, Gustavo, Enrico and Claudio on their paper. This is a collaboration with Capital One and USP: “SUBPLEX: A Visual Analytics Approach to Understand Local Model Explanations at the Subpopulation Level”, Jun Yuan, Gromit Yeuk-Yin Chan, Brian Barr, Kyle Overton, Kim Rees, Luis Gustavo Nonato, Enrico Bertini, and Claudio Silva, IEEE Computer Graphics & Applications (special issue on Human-Centered Visualization Approaches to AI Explainability), to appear
07/2022 – Congratulations to Peter, Joao and Claudio on their paper:”Calibrate: Interactive Analysis of Probabilistic Model Output”, Peter Xenopoulos, Joao Rulff, Luis Gustavo Nonato, Brian Barr, and Claudio Silva, IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VIS 2022), to appear
07/2022 – Congratulations to Peter, Joao and Claudio on their paper: “ggViz: Accelerating Large-Scale Esports Game Analysis”, Peter Xenopoulos, Joao Rulff, and Claudio Silva, to appear at CHI PLAY 2022
07/2022 – Congratulations to Peter, Gromit, Harish, Gustavo, and Brian on their paper: “GALE: Globally Assessing Local Explanations”, Peter Xenopoulos, Gromit Chan, Harish Doraiswamy, Luis Gustavo Nonato, Brian Barr, and Claudio Silva. To appear in 2022 ICML Workshop on Topology, Algebra, and Geometry in Machine Learning- The paper has been selected for a Spotlight Talk!
07/2022 – Congratulations to Neel for his paper accepted to MICCAI : ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration, Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Bo Zhou, Guido Gerig, Michal Sofka, accepted MICCAI’2022
04/2022 – Congratulations to Aecio on receiving the Deborah Rosenthal, MD Award, which is awarded to a graduate student in computer science for outstanding performance on the PhD qualifying examination
04/2022 – Congratulations to Neel Dey for the this year’s CSE best research Pearl Brownstein Doctoral Research Award
04/2022 – CUSP’s Research Seminar Series – Juliana Freire – “Dataset Search for Data Discovery, Augmentation and Explanation ”
04/2022 – Congratulations to Andrew Bell on receiving an NSF Graduate Research Fellowship!
04/2022 – CS Colloquium – Hao Zhang – Machine Learning Parallelization Could Be Automated, Performant, and Easy-to-use
03/2022 Congrats to Joao, Fabio, Maryam and Marcos on their paper accepted to Eurovis 2022. “Urban Rhapsody: Large-scale exploration of urban soundscapes”, Joao Rulff, Fabio Miranda, Maryam Hosseini, Marcos Lage, Mark Cartwright, Graham Dove, Juan Bello, and Claudio T. Silva.
03/2022 CS Colloquium – Yunzhu Li – Learning Structured World Models From and For Physical Interactions
03/2022 Congrats to Harish, Aecio, Chris and Aline on their papers accepted to ICDE 2022
03/2022 CS Colloquium – Georgia Gkioxari – Perceiving the World in 2D and 3D
03/2022 CS Colloquium – Saining Xie – Towards Scalable Representation Learning for Visual Recognition
03/2022 AI seminar by Polo Chau on Human-Centered AI: Safe, Interpretable, Trustworthy Analytics
03/2022 CS Colloquium – Octavian Ganea – Euclidean Deep Learning Models for 3D Structures and Interactions of Molecules
03/2022 Talk By Yu-Xiang Wang, UCSB :Three challenges in Responsible ML and How to Overcome Them, Provably
03/2022 Congratulations to Guande and Jianzhe on their paper accepted to CVPR 2022 : “IntentVizor: Towards Generic Query Guided Interactive Video Summarization”, Guande Wu, Jianzhe Lin, and Claudio T. Silva.
03/2022 CS Colloquium – Brian Hentschel – Making Data Part of Data Structure Design
02/2022 Join us Monday, February 14 at 11:30am for our next installment of the Urban Research Seminar series! Our guest speaker Fabio Miranda will present a talk titled, “Interactive Visual Analysis of Urban Data: From Data to Actionable Insights.”
02/2022 Congrats to Peter for his paper accepted to The ACM Web Conference 2022 (WWW 2022): Analyzing the Differences Between Professional and Amateur Esports Through Win Probability, Peter Xenopoulos, Bill Freeman and Claudio Silva.
01/2022 Congrats to Juliana Freire on being elected an AAAS Fellow!
01/2022 Congrats to Raoni on his paper in collaboration with Dennis Shasha (Courant) and Eric Simon (SAP) titled “Iterative Debugging and Explanation of Pipeline Executions” was accepted to the VLDB Journal
04/2020 Julia Stoyanovich is co-authored with Jay Van Bavel and Tessa West, in a comment paper on Nature Machine Intelligence.
03/2020 Congratulations to Raoni de Paula Lourenco that had both a full paper and a demo paper accepted to SIGMOD 2020 that describe his work on debugging computational pipelines.
03/2020 Congratulations to Harish Doraiswamy and Juliana Freire on their paper that has just been accepted to ACM SIGMOD 2020 entitled: A GPU-friendly Geometric Data Model and Algebra for Spatial Queries.
02/2020Congratulations to Masayo Ota and Heiko Mueller on their paper that has just been accepted to VLDB 2020, entitled:
“Data-Driven Domain Discovery for Structured Datasets”.
02/2020 Congratulations to Aline Bessa on her paper “Efficient Discovery of Meaningful Outlier Relationships” which was accepted to the ACM Transactions on Data Science.
01/2020 Congratulations Gromit Yeuk-Yin Chan on his paper that has just been accepted (for oral presentation) at WWW 2020: Real-Time Clustering for Large Sparse Online Visitor Data.
01/2020 Congratulations Francis Williams on his paper accepted to CHI 2020. Unwind: Interactive Fish Straightening.
01/2020 Congratulations Fabio Miranda on his paper accepted to CHI 2020Urban Mosaic: Visual Exploration of Streetscapes Using Large-Scale Image Data
09/2019 Congratulations to Heejong Kim for getting her papers accepted as oral presentation for the MICCAI 2019 workshop program: A framework to construct a longitudinal DW-MRI infant atlas based on mixed e ffects modeling of dODF coefficients, Heejong Kim, Martin Styner Joseph Piven, and Guido Gerig09/2019 Congratulations James Fishbaugh for getting his papers accepted as oral presentation for the MICCAI 2019 workshop program: Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development, James Fishbaugh, Martin Styner, Karen Grewen, John Gilmore, and Guido Gerig09/2019 Congratulations to Francis on his NeurIPS 2019 paper: Gradient Dynamics of Shallow Univariate ReLU Networks
08/2019 Professor Freire`s research on Artificial Inteligence was featured on Science Magazine
07/2019 Claudio Silva and Bowen Yu selected to recieve Best Paper Award for VAST 2019 with “FlowSense: A Natural Language Interface for Visual Data Exploration with a Dataflow System”.
07/2019 With NYU Tandon’s help, the American Museum of Natural History relaunches Apollo 11
04/2019 Neel Dey receives Deborah Rosenthal Award for his outstanding PhD Qualification Exam performance
04/2019 Cristian Felix receives prestigious Pearl Brownstein Doctoral Research Award
04/2019 Juliana Freire delivers Keynote Talk at the IEEE International Conference on Data Engineering
03/2019 Prof. Chunara giving a talk at the Connective Media Brown Bag Lunch, Cornell Tech
03/2019 CHI 2019 honorable mention goes to Jorge H Piazentin Ono, Arvi Gjoka, Justin Salamon, Carlos Dietrich, Claudio Silva
02/2019 Rumi Chunara receives prestigious NSF CAREER Award
01/2019 Kien Pham and Aecio Santos paper “Bootstrapping Domain-Specific Content Discovery on the Web” accepted to WWW2019