evl | electronic visualization laboratory

	Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics Fabio Miranda, Gustavo Moreira October 13, 2024 - October 28, 2024 Over the past decade, several urban visual analytics systems and tools have been proposed to tackle a host of challenges faced by cities, in areas as… Read more
	Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection Haoyue Shi, Wei Tang September 29, 2024 - October 4, 2024 Unsupervised video anomaly detection (UVAD) aims to detect abnormal events in videos without any annotations. It remains challenging because… Read more
	Analysis-by-Synthesis Transformer for Single-View 3D Reconstruction Dian Jia, Kun Xia, Wei Tang, Zhiming Zou September 29, 2024 - October 4, 2024 Deep learning approaches have made significant success in single-view 3D reconstruction, but they often rely on expensive 3D annotations for… Read more
	BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analytics Andrew Wentzel, G. Elisabeta Marai, Juan Trelles Trabucco September 22, 2024 In the biomedical domain, taxonomies organize the acquisition modalities of scientific images in hierarchical structures. Such taxonomies leverage… Read more
	Assessing the Landscape of Toolkits, Frameworks, and Authoring Tools for Urban Visual Analytics Systems Fabio Miranda, Gustavo Moreira, Leonardo Ferreira August 21, 2024 Over the past decade, there has been a significant increase in the development of visual analytics systems dedicated to addressing urban issues… Read more
	Electronic Visualization Laboratory’s 50th Anniversary Retrospective: Look to the Future, Build on the Past Andrew Johnson, Dana M. Plepys, Daniel J. Sandin, Daria Tsoupikova, G. Elisabeta Marai, Jason Leigh, Jonas Talandis, Lance Long, Luc Renambot, Maxine Brown, Michael E. Papka, Thomas A. DeFanti August 1, 2024 September 2023 marks the 50th anniversary of the Electronic Visualization Laboratory (EVL) at University of Illinois Chicago (UIC). EVL’s… Read more
	DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer Andrew Wentzel, G. Elisabeta Marai July 18, 2024 - July 1, 2024 Digital twin models are of high interest to Head and Neck Cancer (HNC) oncologists, who have to navigate a series of complex treatment decisions that… Read more
	Fully Test-time Adaptation for Object Detection Wei Tang, Xiaoqian Ruan June 18, 2024 Though the object detection performance on standard benchmarks has been improved drastically in the last decade, current object detectors are often… Read more
	Imbalance-Aware Discriminative Clustering for Unsupervised Semantic Segmentation Wei Tang May 14, 2024 Unsupervised semantic segmentation (USS) aims at partitioning an image into semantically meaningful segments by learning from a collection of… Read more
	MOTIV: Visual Exploration of Moral Framing in Social Media Andrew Wentzel, G. Elisabeta Marai March 15, 2024 This project was performed during the COVID-19 pandemic. It presents a visual computing framework (MOTIV) for analyzing moral rhetoric on social… Read more
	Deep Umbra: A Generative Approach for Sunlight Access Computation in Urban Spaces Fabio Miranda, Gustavo Moreira, Kazi Shahrukh Omar February 1, 2024 Sunlight and shadow play critical roles in how urban spaces are utilized, thrive, and grow. While access to sunlight is essential to the success of… Read more
	e-JUST - Environmental Justice using Urban Scalable Toolkit Fabio Miranda, Gustavo Moreira January 28, 2024 - February 1, 2024 e-JUST - Environmental Justice using Urban Scalable Toolkit, a state-of-the-art GIS-based web platform, is being developed to inform local and… Read more
	Kiviat Defense: An Empirical Evaluation of Visual Encoding Effectiveness in Multivariate Data Similarity Detection Andrew Wentzel, G. Elisabeta Marai, Juan Trelles Trabucco, Mirko Mantovani January 22, 2024 - January 25, 2024 Similarity detection seeks to identify similar, but distinct items over multivariate datasets. Often, similarity cannot be defined computationally… Read more
	MouseScholar: Evaluating an Image+Text Search System for Biocuration Carla Floricel, G. Elisabeta Marai, Juan Trelles Trabucco December 5, 2023 - December 8, 2023 Biocuration is the process of analyzing biological or biomedical articles to organize biological data into data repositories using taxonomies and… Read more
	Effects of employing liquid-liquid emulsions on heat transfer within a turbulent Rayleigh-Benard convection Hal Brynteson, Michael E. Papka November 19, 2023 - November 21, 2023 Rayleigh-Benard (RB) convection occurs in a fluid layer when there is a temperature difference between the top and bottom boundaries, resulting in… Read more
	Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI Michael E. Papka November 12, 2023 - November 17, 2023 In the realm of Computational Fluid Dynamics (CFD), the demand for memory and computation resources is extreme, necessitating the use of… Read more
	SAGE3 for Interactive Collaborative Visualization, Analysis, and Storytelling Luc Renambot November 5, 2023 - November 8, 2023 SAGE3, the newest and most advanced generation of the Smart Amplified Group Environment, is an open-source software designed to facilitate… Read more
	Using Personal Situated Analytics (PSA) to Interpret Recorded Meetings Andrew Johnson, Ashwini Naik October 29, 2023 - November 1, 2023 Applications in immersive environments have gained popularity for training, learning, and recreational tasks. Due to the increasing availability of… Read more
	Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining Andrew Wentzel, Carla Floricel, G. Elisabeta Marai October 22, 2023 - October 27, 2023 Personalized head and neck cancer therapeutics have greatly improved survival rates for patients, but are often leading to understudied long-lasting… Read more
	The Urban Toolkit: A Grammar-based Framework for Urban Visual Analytics Fabio Miranda, Gustavo Moreira, Md Nafiul Alam Nipu October 22, 2023 - October 27, 2023 While cities around the world are looking for smart ways to channel new advances in data collection, management, and analysis to address their… Read more
	ProWis: A visual approach for building, managing, and analyzing weather simulation ensembles in runtime Fabio Miranda October 22, 2023 - October 27, 2023 Weather forecasting is essential for decision-making and is usually performed using numerical modeling. Numerical weather models, in turn, are… Read more
	Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes Landon Richard Dyken, Sidharth Kumar October 22, 2023 - October 27, 2023 New web technologies have enabled the deployment of powerful GPU-based computational pipelines that run entirely in the web browser, opening a new… Read more
	PSA: A Cross-Platform Framework for Situated Analytics in MR and VR Andrew Johnson, Ashwini Naik October 16, 2023 - October 20, 2023 Using immersive environments for training, education, and recreation is becoming increasingly popular among individuals. In recent years these… Read more
	Guest editorial: special issue on human pose estimation and its applications Wei Tang October 13, 2023 Estimating the human posture from an image or a video is a fundamental task in computer vision. It not only enhances other vision tasks like action… Read more
	Learning from noisy pseudo labels for semi-supervised temporal action localization Wei Tang October 2, 2023 - October 6, 2023 Semi-Supervised Temporal Action Localization (SS-TAL) aims to improve the generalization ability of action detectors with large-scale unlabeled… Read more
	Reflecting on the Scalable Adaptive Graphics Environment Team’s 20-Year Translational Research Endeavor in Digital Collaboration Tools Andrew Johnson, Arthur Nishimoto, Lance Long, Luc Renambot, Maxine Brown August 23, 2023 * Authors: Belcaid, M., Leigh, J., Theriot, R., Kirshenbaum, N., Tabalba, R., Rogers, M. University of Hawai’i at Manoa, Honolulu, HI Johnson, A… Read more
	Multi-Organ Spatial Stratification of 3-D Dose Distributions Improves Risk Prediction of Long-Term Self-Reported Severe Symptoms in Oropharyngeal Cancer Patients Receiving Radiotherapy: Development of a Pre-Treatment Decision Support Tool. Andrew Wentzel, G. Elisabeta Marai July 17, 2023 Recent advances in precision medicine for treating Oropharyngeal cancer (OPC) have led to significant improvements in survival for patients. However… Read more
	Enhancing biomedical search interfaces with images G. Elisabeta Marai, Juan Trelles Trabucco July 17, 2023 Motivation: Figures in biomedical papers communicate essential information with the potential to identify relevant documents in biomedical and… Read more
	Spatially-aware clustering improves AJCC-8 risk stratification performance in oropharyngeal carcinomas Andrew Wentzel, G. Elisabeta Marai June 28, 2023 Objective: Evaluate the effectiveness of machine learning tools that incorporate spatial information such as disease location and lymph node… Read more
	ChemoGraph: Interactive Visual Exploration of the Chemical Space Michael E. Papka June 12, 2023 - June 16, 2023 Honorable Mention in the EuroVis Best Paper Category Exploratory analysis of the chemical space is an important task in the field of cheminformatics… Read more
	The State of the Art in Visualizing Dynamic Multivariate Networks Michael E. Papka June 12, 2023 - June 16, 2023 Most real-world networks are both dynamic and multivariate in nature, meaning that the network is associated with various attributes and both the… Read more
	DASS Good: Explainable Data Mining of Oncology Imaging and Toxicity Data Andrew Wentzel, Carla Floricel, G. Elisabeta Marai June 1, 2023 Developing applicable clinical machine learning models is a difficult task when the data includes spatial information, for example, radiation dose… Read more
	Visualizing the NOAA CarbonTracker-CH4 3-D Mole Fraction (Pressure Corrected) Dataset Matt Ziminski May 1, 2023 Methane the main component of natural gas is also a potent greenhouse gas that requires robust monitoring, so that scientists, educators, and the… Read more
	Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery Fabio Miranda February 22, 2023 While cities around the world are increasingly promoting streets and public spaces that prioritize pedestrians over vehicles, significant data gaps… Read more
	Abnormal Ratios Guided Multi-Phase Self-Training for Weakly-Supervised Video Anomaly Detection Wei Tang January 1, 2023 Weakly-supervised Video Anomaly Detection (WVAD) aims to detect abnormal events in videos given only video-level labels for training. Recent methods… Read more
	Visual Analysis and Detection of Contrails in Aircraft Engine Simulations Carla Floricel, G. Elisabeta Marai, Md Nafiul Alam Nipu January 1, 2023 Contrails are condensation trails generated from emitted particles by aircraft engines, which perturb Earth’s radiation budget. Simulation modeling… Read more
	DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing Michael E. Papka December 1, 2022 Cluster schedulers are crucial in high-performance computing (HPC). They determine when and which user jobs should be allocated to available system… Read more
	Alveolus Analysis: A Web Browser-based Tool to Analyze Lung Intravital Microscopy Andrew Burks, G. Elisabeta Marai November 30, 2022 BACKGROUND: Acute lung injury and the acute respiratory distress syndrome (ARDS) are characterized by pulmonary inflammation, reduced endothelial… Read more
	The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytics, Policy, and Tools Fabio Miranda October 23, 2022 - October 26, 2022 Inaccessible urban infrastructure creates and reinforces systemic exclusion of people with disabilities and impacts public health, physical activity… Read more
	Head and Neck Cancer Predictive Risk Estimator to Determine Control and Therapeutic Outcomes of Radiotherapy (HNCPREDICTOR) G. Elisabeta Marai, Md Nafiul Alam Nipu October 21, 2022 Background. Personalized radiotherapy can improve treatment outcomes of head and neck cancer (HNC) patients, where currently a… Read more
	Crowdsourcing and Sidewalk Data: A Preliminary Study on the Trustworthiness of OpenStreetMap Data in the US Fabio Miranda, Gustavo Moreira, Kazi Shahrukh Omar October 17, 2022 Sidewalks play a pivotal role in urban mobility of everyday life. Ideally, sidewalks provide a safe walkway for pedestrians, link public… Read more
	Visual Analysis and Detection of Contrails in Aircraft Engine Simulations Carla Floricel, G. Elisabeta Marai, Md Nafiul Alam Nipu October 16, 2022 - October 21, 2022 Contrails are condensation trails generated from emitted particles by aircraft engines, which perturb Earth’s radiation budget. Simulation… Read more
	A Comparison of Spatiotemporal Visualizations for 3D Urban Analytics Fabio Miranda October 16, 2022 - October 21, 2022 Recent technological innovations have led to an increase in the availability of 3D urban data, such as shadow, noise, solar potential, and earthquake… Read more
	Linking scientific instruments and computation: Patterns, technologies, and experiences Michael E. Papka October 14, 2022 Powerful detectors at modern experimental facilities routinely collect data at multiple GB/s. Online analysis methods are needed to enable the… Read more
	A Comparative Study of Methods for the Visualization of Probability Distributions of Geographical Data Fabio Miranda, Sanjana Srabanti July 13, 2022 Probability distributions are omnipresent in data analysis. They are often used to model the natural uncertainty present in real phenomena or to… Read more
	Moving from Composable to Programmable Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Zhongyi Chen June 3, 2022 In today’s Big Data era, data scientists require modern workflows to quickly analyze large-scale datasets using complex codes to maintain the… Read more
	Composable Infrastructures for an Academic Research Environment: Lessons Learned Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Zhongyi Chen June 3, 2022 Composable infrastructure holds the promise of accelerating the pace of academic research and discovery by enabling researchers to tailor the… Read more
	Monitoring COMPaaS April 29, 2022 The Electronic Visualization Laboratory at the University of Illinois Chicago acquired a 24 compute node, 64 GPU composable infrastructure compute… Read more
	Moving from Composable to Programmable Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Zhongyi Chen April 15, 2022 In today’s Big Data era, data scientists require modern workflows to quickly analyze large-scale datasets using complex codes to maintain the… Read more
	Composable Infrastructures for an Academic Research Environment: Lessons Learned Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Timothy Bargo April 15, 2022 Composable infrastructure holds the promise of accelerating the pace of academic research and discovery by enabling researchers to tailor the… Read more
	A Tale of Two Centers: Visual Exploration of Health Disparities in Cancer Care G. Elisabeta Marai, Sanjana Srabanti April 11, 2022 - April 14, 2022 The annual incidence of head and neck cancers (HNC) worldwide is more than 550,000 cases, with around 300,000 deaths each year. However, the… Read more
	Exploiting appearance transfer and multi-scale context for efficient person image generation Wei Tang April 1, 2022 Pose guided person image generation means to generate a photo-realistic person image conditioned on an input person image and a desired pose. This… Read more
	CitySurfaces: City-scale semantic segmentation of sidewalk materials Fabio Miranda April 1, 2022 While designing sustainable and resilient urban built environment is increasingly promoted around the world, significant data gaps have made research… Read more
	Visualizing simulation ensembles of extreme weather events Fabio Miranda February 3, 2022 In the last 20 years, extreme weather-related events like floods, landslides, droughts, and wildfires have caused the death of 1.23 million people… Read more
	THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy Andrew Wentzel, Carla Floricel, G. Elisabeta Marai, Md Nafiul Alam Nipu January 1, 2022 Although cancer patients survive years after oncologic therapy, they are plagued with long-lasting or permanent residual symptoms, whose severity… Read more
	Securing Collaborative Work in Wide-band Display Environments Andrew Burks, Andrew Johnson, Krishna Bharadwaj, Lance Long, Luc Renambot, Maxine Brown December 13, 2021 - December 15, 2021 SAGE2 (Scalable Amplified Group Environment) is the de-facto platform to support group work on wide-band display environments. Unlike most web… Read more
	ANIMO: Annotation of Biomed Image Modalities G. Elisabeta Marai, Juan Trelles Trabucco December 9, 2021 - December 12, 2021 Figures within biomedical articles present essential evidence of the relevance of a publication in a curation workflow. In particular, visual cues of… Read more
	COVID-19 EnsembleVis: Visual Analysis of County-level Ensemble Forecast Models Fabio Miranda, G. Elisabeta Marai, Sanjana Srabanti December 1, 2021 The spread of the SARS-CoV-2 virus and its contagious disease COVID-19 has impacted countries to an extent not seen since the 1918 flu pandemic. In… Read more
	Supporting Collaborative Exploratory Visual Data Analysis in Multi-device Environments Abeer Alsaiari November 1, 2021 There is a steadily growing interest in leveraging ecosystems of digital devices that go beyond a single desktop for collaborative visual data… Read more
	Interaction with Multiple Data Visualizations Through Natural Language Commands Jillian Aurisano November 1, 2021 Data exploration stands to benefit from environments that permit users to examine and juxtapose many views of data, particularly views that present… Read more
	Parameter Analysis and Contrail Detection of Aircraft Engine Simulations Carla Floricel, G. Elisabeta Marai, Md Nafiul Alam Nipu October 25, 2021 Aircraft engines emit particulates that alter the chemical composition of the atmosphere and perturb the Earth’s radiation budget by creating… Read more
	Modulated Graph Convolutional Network for 3D Human Pose Estimation Wei Tang October 11, 2021 - October 17, 2021 The graph convolutional network (GCN) has recently achieved promising performance of 3D human pose estimation (HPE) by modeling the relationship… Read more
	Feature Selection for Support Vector Regression Using a Genetic Algorithm G. Elisabeta Marai September 8, 2021 Support vector regression (SVR) is particularly beneficial when the outcome and predictors are nonlinearly related. However, when many covariates are… Read more
	UrbanRama: Navigating Cities in Virtual Reality Fabio Miranda July 26, 2021 Exploring large virtual environments, such as cities, is a central task in several domains, such as gaming and urban planning. VR systems can greatly… Read more
	Utilizing Image and Caption Information for Biomedical Document Classification G. Elisabeta Marai, Juan Trelles Trabucco July 25, 2021 - July 30, 2021 Motivation: Biomedical research findings are typically disseminated through publications. To simplify access to domain-specific knowledge while… Read more
	Hybrid Collaborative Virtual Environments Krishna Bharadwaj July 23, 2021 Collaborative Virtual Environments have been increasingly used in supporting group work. Several collaborative systems have come up in recent years… Read more
	Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes G. Elisabeta Marai July 14, 2021 - July 16, 2021 Patient-Reported Outcome (PRO) surveys are used to monitor patients’ symptoms during and after cancer treatment. Late symptoms refer to those… Read more
	Oropharyngeal cancer patient stratification using random forest based‑learning over high‑dimensional radiomic features G. Elisabeta Marai July 7, 2021 To improve risk prediction for oropharyngeal cancer (OPC) patients using cluster analysis on the radiomic features extracted from pre‑treatment… Read more
	Exploit Visual Dependency Relations for Semantic Segmentation Wei Tang June 19, 2021 - June 25, 2021 Dependency relations among visual entities are ubiquitous because both objects and scenes are highly structured. They provide prior knowledge about… Read more
	A digital twin dyad with deep Q-learning in head and neck cancer treatment Andrew Wentzel, Elisa Tardini, G. Elisabeta Marai June 18, 2021 Each year, over 60,000 people in the United States are diagnosed with head and neck cancers. Treatment strategies are dynamic and complex and can… Read more
	Precision association of lymphatic disease spread with radiation-associated toxicity in oropharyngeal squamous carcinomas Andrew Wentzel, G. Elisabeta Marai, Timothy Luciani June 11, 2021 Purpose: To determine whether patient similarity in terms of head and neck cancer spread through lymph nodes correlates significantly with… Read more
	Identifying Symptom Clusters Through Association Rule Mining Carla Floricel, G. Elisabeta Marai June 8, 2021 Cancer patients experience many symptoms throughout their cancer treatment and sometimes suffer from lasting effects post treatment. Patient-Reported… Read more
	Recursive meta-Reinforcement Learning for Personalized Sequential Dynamic Treatment Policies Elisa Tardini May 1, 2021 In recent years deep meta-reinforcement learning has extended the applicability of reinforcement learning (RL) algorithms: by integrating recurrent… Read more
	Modality-Classification of Microscopy Images Using Shallow Variants of Deep Networks G. Elisabeta Marai, Juan Trelles Trabucco December 16, 2020 - December 19, 2020 Microscopy images are pervasive in biomedical research publications, where images obtained through various microscopy modalities (light… Read more
	Learning Global Pose Features in Graph Convolutional Networks for 3D Human Pose Estimation Wei Tang November 30, 2020 - December 4, 2020 As the human body skeleton can be represented as a sparse graph, it is natural to exploit graph convolutional networks (GCNs) to model the… Read more
	Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology Andrew Wentzel, G. Elisabeta Marai October 25, 2020 - October 30, 2020 Advances in data collection in radiation therapy have led to an abundance of opportunities for applying data mining and machine learning techniques… Read more
	High-order Graph Convolutional Networks for 3D Human Pose Estimation Wei Tang September 7, 2020 - September 10, 2020 Graph convolutional networks (GCNs) have been applied to 3D human pose estimation (HPE) from 2D body joint detections and have demonstrated promising… Read more
	A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation Wei Tang August 23, 2020 - August 28, 2020 Graph convolutional networks (GCNs) have been applied to 3D human pose estimation (HPE) from 2D body joint detections and have shown encouraging… Read more
	Many At Once: Capturing Intentions to Create And Use Many Views At Once In Large Display Environments Abeer Alsaiari, Abhinav Kumar, Andrew Johnson, Jillian Aurisano May 25, 2020 - May 29, 2020 This paper describes results from an observational, exploratory study of visual data exploration in a large, multi-view, flexible canvas environment… Read more
	Evaluating Strategies of Exploratory Visual Data Analysis in Multi Device Environments Abeer Alsaiari, Andrew Johnson, Jillian Aurisano May 25, 2020 - May 29, 2020 Supporting exploratory visual data analysis is essential when multiple analysts collaborate using multiple devices. Yet, we still have no full… Read more
	Intelligent Assistant for Exploring Data Visualizations Abhinav Kumar, Andrew Johnson, Jillian Aurisano May 17, 2020 - May 20, 2020 Visualization, while an effective tool for identifying patterns and insights, requires expert knowledge due to challenges faced when translating user… Read more
	Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory Visualization Abhinav Kumar, Andrew Johnson, Jillian Aurisano May 11, 2020 - May 16, 2020 Our goal is to develop an intelligent assistant to support users explore data via visualizations. We have collected a new corpus of conversations… Read more
	Case Study: UIC Utilizes Liqid Composable Infrastructure for Uneven Applications in Scientific Research Andrew Johnson, G. Elisabeta Marai, Lance Long, Luc Renambot, Maxine Brown April 23, 2020 Led by EVL Director Maxine Brown, a large team of research faculty and staff from UIC’s College of Engineering applied for and received a Major… Read more
	A Spatial Neighborhood Methodology for Computing and Analyzing Lymph Node Carcinoma Similarity in Precision Medicine Andrew Wentzel, G. Elisabeta Marai, Timothy Luciani March 1, 2020 Precision medicine seeks to tailor therapy to the individual patient, based on statistical correlates from patients who are similar to the one under… Read more
	Visual Data Science: Advanced Cyberinfrastructure Systems (poster session) Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown January 17, 2020 COMPaaS DLV, COMposable Platform as a Service Instrument for Deep Learning & Visualization, was purchased from Liqid, Inc., with NSF funds. Its… Read more
	Towards Understanding Collaborative Visual Data Analysis in Multi-Device Environments Abeer Alsaiari, Andrew Johnson October 20, 2019 - October 25, 2019 There is a steadily growing interest in leveraging ecosystems of digital devices that go beyond a single desktop for visual data analysis and… Read more
	PolyVis: Cross-Device Framework for Collaborative Visual Data Analysis Abeer Alsaiari, Andrew Johnson, Arthur Nishimoto October 6, 2019 - October 9, 2019 Multi-device environments present new opportunities for collaborative visual data analysis and sense-making by utilizing each device’s… Read more
	Toward meaningful care plan clinical decision support: Feasibility and effects of a simulated pilot study Alessandro Febretti, Andrew Johnson September 1, 2017 - October 1, 2017 Background - Clinical decision support (CDS) tools - with easily understood and actionable information, at the point of care - are needed to help… Read more
	A Distributed Graph Approach for Pre-processing Linked RDF Data Using Supercomputers Andrew Johnson, Michael Lewis May 18, 2017 Efficient RDF, graph-based queries are becoming more pertinent based on the increased interest in data analytics and its intersection with large… Read more
	Modeling and evaluating user behavior in exploratory visual analysis. Andrew Johnson, Jason Leigh March 1, 2016 Empirical evaluation methods for visualizations have traditionally focused on assessing the outcome of the visual analytic process as opposed to… Read more
	Use of Simulation to Study Nurses’ Acceptance and Nonacceptance of Clinical Decision Support Suggestions Alessandro Febretti, Andrew Johnson October 1, 2015 Our long-term goal is to ensure nurse clinical decision support (CDS) works as intended before full deployment in clinical practice. As part of a… Read more
	Multipath Load Balancing for M x N Communication Patterns on the Blue Gene⁄Q Supercomputer Interconnection Network Andrew Johnson, Huy A. Bui September 8, 2015 - September 11, 2015 Achievable networking performance of applications in a supercomputer depends on the exact combination of the communication patterns of the… Read more
	Nurses’ Numeracy and Graphical Literacy: Informing Studies of Clinical Decision Support Interfaces Alessandro Febretti, Andrew Johnson August 1, 2015 We present findings of a comparative study of numeracy and graph literacy in a representative group of 60 practicing nurses. The paper focuses on a… Read more
	PICU Nurses’ Pain Assessments And Intervention Choices for Virtual Human And Written Vignettes Andrew Johnson July 1, 2015 - August 1, 2015 The purpose of this concurrent mixed-methods study was to 1) examine the factors pediatric intensive care unit nurses consider when assessing and… Read more
	Multiuser-Centered Resource Scheduling for Collaborative Display Wall Environments Andrew Johnson, Jason Leigh, Khairi Reda, Luc Renambot, Sungwon Nam April 1, 2015 The popularity of large-scale, high-resolution display walls, as visualization endpoints in eScience infrastructure, is rapidly growing. These… Read more
	Data Mining Nursing Care Plans of End of Life Patients: A Case Study to Improve Healthcare Decision Making Andrew Johnson February 1, 2013 Pain management of end of life patients (EOL) (n=596 episodes) is examined using statistical and data mining processes of the HANDS database of care… Read more
	Maintaining a consistent big picture: Meaningful Use of a Web-based POC EHR System Andrew Johnson October 1, 2012 Objective: To test the hypothesis that Hands-on Automated Nursing Data System (HANDS) “big picture summary” can be implemented uniformly… Read more
	Future World December 5, 2011 On a sunny August afternoon undergraduates are perusing the tables arranged around the East Campus, learning about clubs and groups to join, while… Read more
	RuleBender: integrated modeling, simulation and visualization for rule-based intracellular biochemistry G. Elisabeta Marai October 23, 2011 - October 24, 2011 Background: Rule-based modeling (RBM) is a powerful and increasingly popular approach to modeling cell signaling networks. However, novel visual… Read more
	Two-phase IO Enabling Large-scale Performance Introspection (poster) Ke Fan, Sidharth Kumar November 12, 1970 - November 17, 1970 Numerous sophisticated profiling and visualization tools have been developed to enable programmers to expose semantic information from their… Read more

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