Recent Professors
Professor Mosca
Professor Behrisch
Professor Humayoun
Professor Battle
Professor Yuksel
Professor Ottley
Professor Crouser
Professor Brown
Professor Harrison
Professor Peck
Professor
Tufts University
Computer Science
Joyce Cummings Hall
Room #365
177 College Avenue
Medford, MA 02155
(Office) 617-627-3681
remco_at_cs.tufts.edu
Professor Mosca
Professor Behrisch
Professor Humayoun
Professor Battle
Professor Yuksel
Professor Ottley
Professor Crouser
Professor Brown
Professor Harrison
Professor Peck
UnProjection, HyperNP
Use deep learning (encoder-decoder) mdoels to emulate projection methods (UMAP, tSNE, etc.) and perform inverse projection
Kyrix, Kyrix-S, Kyrix-J
Optimized database + visualization systems that enables highly interactive web-based pan-zoom visualizations
Bayesian Reasoning
Improving medical risk communicatoin using phrasing, visualization, and interactions while taking into account the user's spatial ability.
Cognitive Bias
Studies of how cognitive biases can influence a user's ability to effectively make use of progressively updating visualization
NeuralCubes
NeuralCube uses a deep learning model to replace databases for interactive visualizations with minimum loss in accuracy
Data Augmentation
CAVA is an visualization tool that helps a user perform data augmentation interactively by extracting data from knowledge graphs
Multi-View Composition
A study of the composition of multi-view visualizations and a tool that recommends multiview visualization layouts
Analytic Provenance
Analytic provenance is the analysis of user's interactions to understand the user's analysis goals and predict their future actions
NN Architecture Search
We introduce REMAP, a system that helps a user perform guided search of neural network architectures
AutoML + VIS
A visual analytics system (Snowcat) that integrates AutoML for model construction, comparison, and selection.
NSF HDR Institute (2021-2026)
HDR Institute: Institute for Data Driven Dynamical Design
NSF NRT (2020-2025)
Data Driven Decision Making to Address Complex Resource Problems
NSF HDR (2019-2021)
Accelerating the Discovery of Electronic Materials through Human-Computer Bayesian Optimization
NSF HDR (2019-2021)
Converging Genomics, Phenomics, and Environments Using Interpretable Machine Learning Models
NSF IGE (2019-2023)
STEM Graduate training in Data Science: Solution-oriented, Student-led, Team-based, Computationally-enriched (SOLSTICE) Training
MDA MIDAS (2019-2022)
Multisensory Interactive Data Analysis System
DARPA CHESS (2019-2020)
CHECKMATE: Computer Human Enhanced Coordination for Knowledge, Management, Analysis, and Testing for Exploits
Walmart Foundation (2018-2021)
Behavioral Nudges
DARPA D3M (2017-2021)
User-Driven Model Steering and Curation via Inference from Interaction and Model-Space Sampling
Navy TACTIC-D (2017-2021)
Techniques to Adjust Computational Trends Involving Changing Data
NSF CAREER (2015-2020)
Analyzing Interactions in Visual Analytics for User and Data Modeling
(09-15-2021) Shandong University
(07-19-2021) Peking University
(03-10-2021) Center for Science and Engineering Statistics
(01-21-2021) Fudan University
(09-24-2020) Tufts Human Factors Seminar
(02-25-2020) Georgia Tech
(09-23-2019) University of Minnesota
(10-01-2018) Dagstuhl
(08-22-2018) Hong Kong Univ Science and Technology
(05-31-2018) DoD Visualization Workshop
(04-18-2018) University of Konstanz
(01-24-2018) National Academies of Sciences
(01-08-2018) Luxembourg Inst Science and Technology
(12-20-2017) University of Ghent
(09-13-2017) Tufts Friedman School of Nutrition
(08-30-2017) University of Colorado Boulder
(04-03-2017) Draper
(02-15-2017) MIT CSAIL Graphics Seminar
(12-08-2016) University of Arizona
(12-06-2016) Arizona State
(11-10-2016) Department of Defense