Raed Al Kontar
Smart and connected products and systems
Fadhl Alakwaa
machine learning, personalized medicine, predictive modeling
Jacob Allgeier
Using ecological theory to help solve conservation problems
Camille Avestruz
Evolution of galaxy clusters, machine learning in cosmology
Veera Baladandayuthapani
High-dimensional modeling and Bayesian inference
Laura Balzano
Statistical signal processing and optimization with large data.
David Brang
electrophysiology, machine learning, Multisensory, neuro-oncology, neuroscience
Christopher Brooks
Visualizing the interaction between learners and learning technology
Ceren Budak
Computational social science
Bilal Butt
Agritech, Big Data, Environmental Social Sciences
Dallas Card
and computational social science, machine learning, Natural language processing
Neil Carter
complex adaptive systems, human-wildlife coexistence
Tim Cernak
Computational design of chemical reactions and synthesis
Joyce Chai
Artificial Intelligence, Natural language processing, situated communication
Sriram Chandrasekaran
Computer models of protein networks
Yang Chen
Statistical inference and applied statistics in biology and astronomy
Thomas L. Chenevert
Longitudinal Image Registration, Oncologic MR Imaging, Quantitative Imaging Biomarkers, Tumor Volume Segmentation
Lia Corrales
Statistical techniques for studying astrophysical aerosols in the X-ray and UV
Walter Dempsey
Mobile Health, Network Science, Statistical Methods
Paramveer Dhillon
and Field/Digital Experiments, Computational social science, Natural language processing, Statistical Machine Learning
Ivo D. Dinov
Mathematical modeling, statistical analysis and data visualization
Anne Draelos
Real-time machine learning for adaptive neuroscience applications
Marisa Eisenberg
and intervention design, forecasting, Mathematical modeling of disease mechanisms
Jeff Fessler
Large-scale inverse problems in image reconstruction
Lana Garmire
Applying data science for actionable transformation of human health
Benjamin Goldstein
Sustainability analytics for cities
Andrew Gronewold
Quantifying and communicating uncertainties arising within long-term hydrological monitoring networks and data
Anhong Guo
Human-AI Systems for Accessibility
Yongqun (Oliver) He
literature mining and gene networks, Ontology
Libby Hemphill
digital data, justice, social media
Wei Hu
Deep Learning, machine learning, optimization, Representation Learning, theory
Xianglei Huang
climate diagnostics, data modeling, optimization, remote sensing, time-series analysis
Meha Jain
agriculture, machine learning, remote sensing, sustainability
Dani Jones
adjoint modeling, data assimilation, Gaussian processes, Great Lakes, oceanography, unsupervised classification
Jian Kang
Bayesian methods, composite likelihood approach and missing data problems, efficient statistical computation algorithms, graphical models, latent source separation methods, network inference, ultrahigh-dimensional feature selection
Evan Keller
Single cell and spatiotemporal analyses of healthy and diseased tissues
Nicholas Kotov
and graph theoretical representations, biomimetic nanocomposites, Chiral nanostructures
Amanda Kowalski
targeting healthcare interventions
Arpan Kusari
autonomous vehicles, LiDAR, realistic simulation, Reinforcement Learning, uncertainty estimation
Elizaveta Levina
Statistical inference on realistic models for network
Gen Li
Data Integration, Dimension Reduction, graphical models, Microbiome Research, Parsimonious Models, predictive modeling
Max Li
and Optimization of Air Transportation Systems, Design, Management
Yi Li
Statistical methods for kidney epidemiology
Jie Liu
Machine learning and computational genomics
Zhongming Liu
computational and cognitive neuroscience, deep neural networks
Sabine Loos
Data and user-driven approaches on disasters and equity
Wei Lu
integrating human knowledge into machine learning
Qiaozhu Mei
Information retrieval and text mining
Briana Mezuk
aging, disparities, mental health, suicide
Emily Mower Provost
Emotion modeling and assistive technology
Nambi Nallasamy
Intersection of Machine Learning and Ophthalmology
Joshua P Newell
geographic information systems, gis, remote sensing, resource flow analysis, sustainability, urban systems
Mohammed Ombadi
Climate and Weather Extremes, climate change, data science, Hydrology
Gabor Orosz
Automated, Connected, Control, Delay, Dynamics, Learning, Traffic, Vehicle
Samet Oymak
decision-making, efficient and robust ML, learning and optimization theory
Yulin Pan
data assimilation, fluid mechanics, physical oceanography
Vitaliy Popov
clinical simulations, learning analytics, multimodal
Qing Qu
Deep Learning, Inverse Problems, Nonconvex Optimization, Representation Learning
Majdi Radaideh
Autonomous Control, Nuclear Reactor Design, optimization, Physics-informed Machine Learning, Uncertainty quantification
Arvind Rao
Multi-modal decision algorithms that integrate clinical measurements
Daniel Romero
Empirical and theoretical analysis of social and information networks
Perry Samson
Relationships between student performance and behaviors
Maureen Sartor
Bioinformatics, biomarkers, cancer, classification, epigenomics, integrative omics, prediction, regulatory genomics
Xu Shi
causal inference, EHR data
Yajuan Si
Bayesian, confidentiality protection, missing data, statistics, survey
Peter Song
Data Integration, distributed inference, machine learning
Wencong Su
Efficient management of a large number of devices through distributed intelligence
Vijay Subramanian
decision and control theory and applications to networks, Stochastic modeling
Wenhao Sun
Materials Discovery and Design, Materials Informatics
Misha Teplitskiy
computational methods, experimental methods, science of science
Ivy F. Tso
brain network, computational and predictive models, Psychiatric disorders
Alex Lam Tsoi
skin disease / genetics / genomics / psoriasis / single cell multiomics
Venkat Viswanathan
differentiable physics, Scientific machine learning
V. G. Vinod Vydiswaran
AI for evaluating trustworthiness in medical literature
Yixin Wang
causal inference, Large-scale probabilistic machine learning, machine learning for science
Lu Wang
Natural language processing
Joshua Welch
Machine learning for representing molecular cell states
Zhenke Wu
Statistical methods for precision medicine
Ming Xu
Computational and data-enabled methodology for sustainability
Bing Ye
Artificial Intelligence, behavior, cell biology, computational science, developmental biology, Drosophila, neuroscience
Lei Ying
and large-scale graph mining, Complex stochastic systems and big-data, private data marketplaces
Y Z
Nuclear engineering, robotics, materials science and engineering
Xiang Zhou
Statistical and computational methods for genetic and genomic studies
Jiayu Zhou
Advancing scalable, interpretable AI for health informatics and knowledge integration
Kai Zhu
Environmental data science
Paul Zimmerman
Computational chemical reaction discovery