EVL PhD candidate Kunting Qi's paper entitled &ldquo;ML–Driven Auto-tuning Framework for Non-uniform All-to-All Data Exchange&rdquo; (Qi, K., Fan, K., Domke, J., Ba, S., Vishwanath, V., Papka, M.E., Kumar, S.) has been selected as a Distinguished Paper Award Nominee to the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science (HiPC) 2025. 
HiPC serves as a forum to present current work by researchers from around the world in the areas of high-performance computing and data science. The meeting focuses on all aspects of high-performance computing systems, data science and analytics, and their scientific, engineering, and commercial applications. This year the conference will be held in Hyderabad, India, December 17-20, 2025.

EVL Graduate Researcher Kunting Qi HiPC 2025 Distinguished Paper Award Nominee

Candidate: Francesco Botto 
Committee: 
Professor G. Elisabeta Marai, Chair and Advisor 
Professor Khairi Reda 
Professor Stefano Di Calro, Politecnico di Torino 
Date/Time: Tuesday, December 9 at 9:30AM 
Location: CDRLC 5424 
Abstract: FlavorCharter introduces a data-driven research framework composed of a mobile platform for crowd-sourced sensory data collection and an interactive visualization environment for exploratory analysis. This integrated system bridges data acquisition and visual reasoning, enabling both large-scale collection and interpretability of flavor perception data. This approach has the potential to document taste loss and empower patients to describe taste loss symptoms in a more precise and standardized language.

MS Thesis Defense Announcement: &ldquo;FlavorCharter: Development of a Framework for Quantifying and Visually Analyzing Flavor Perception&rdquo;

This year&rsquo;s Art of HPC showcase at the <ahref="https://sc25.supercomputing.org/">International Conference for High Performance Computing SC25</a>, brought together an inspiring community of artists, designers, and technologists exploring the intersections of creativity, high-performance computing, AI, and immersive media. The Art Gallery became a vibrant hub of curiosity and inspiration, where the audience could explore new possibilities at the intersection of art and cutting-edge computation. 
UIC Design and EVL Professor Daria Tsoupikova participated on the panel &ldquo;From Silicon to Surrealism: The Fusion of Art, AI, and HPC,&rdquo; moderated by Tomasz Bednarz with Amy Karle, Ruth West, and Mark Hereld. The discussion explored how large-scale computation is opening new frontiers in creative expression, from generative imagery to immersive storytelling, and how artistic inquiry, in turn, is reshaping our understanding of the purpose and potential of computing itself. 
The EVL Hummingbird VR Performance project, featured prominently in the exhibition, was displayed on giant displays across the show floor, in the Art Gallery, and in the poster ballroom. It was awe-inspiring for Tsoupikova to share this work, born from deep collaboration between theater artists, designers, and computer scientists, which was truly inspiring. 
This was Tsoupikova&rsquo;s first SC, &ldquo;I am deeply grateful to the Art of HPC Committee Joseph Insley, Francesca Samsel, Mark Hereld, India Gordon and Silvina Caino-Lores for championing and elevating artistic innovation at SC25. Their vision made this year&rsquo;s program groundbreaking.&rdquo; 
#SC25, #HPCignites 
<a href="https://sc25.supercomputing.org/program/art-of-hpc/">The Art of HPC</a> Where Creativity Meets HPC: 
Creativity has always been at the heart of innovation. It drives new perspectives, fuels artistic expression, and allows us to see beauty in unexpected places. By leveraging cutting-edge technology and resources, we can push the boundaries of both science and art. 
SC proudly presents Art of HPC, a showcase of the intersection between artistic creativity and high-performance computing. This comprehensive event featured a diverse array of exhibits, presentations, and activities throughout the conference. 
The Art of HPC Panel: 
High-performance computing and AI are sparking a thrilling new era in creativity and the arts. This dynamic panel brought together visionary artists and cutting-edge technologists to reveal how they harness the power of large-scale computation to craft works that dazzle the senses, resonate culturally, and often surprise us in delightful ways. From mesmerizing generative imagery to immersive, interactive experiences, the panelists demonstrated how HPC unlocks artistic possibilities at scales and resolutions previously unimaginable. 
But the excitement doesn&rsquo;t stop there - this is a two-way street. Artistic practices aren&rsquo;t just benefiting from big tech; they&rsquo;re reshaping how we think about computing itself, transforming its purpose from mere efficiency and scientific rigor to a wellspring of inspiration and expressive power. The panel provided an accessible and fascinating peek into a future where silicon and creativity join forces, co-designing bold new forms of culture and unlocking realms of imagination we&rsquo;ve yet to explore.

The Art of HPC Exhibition was a tremendous success at Supercomputing25!

IEEE VIS 2025 is the premier forum for advances in theory, methods, and applications of visualization and visual analytics. The conference will convene an international community of researchers and practitioners from universities, government, and industry to exchange recent findings on the design and use of visualization tools. This year&rsquo;s Conference will be held November 2 to 7 in Vienna, Austria 
EVL PhD students Sanjana Srabanti, Leonardo Ferreira, and Gustavo Moreira have had their research papers accepted into the Conference: 
&ldquo;StreetWeave: A Declarative Grammar for Street-Overlaid Visualization of Multivariate Data&rdquo; 
Sanjana Srabanti, G. Elisabeta Marai, Fabio Miranda 
IEEE Transactions on Visualization and Computer Graphics (To appear) 
This is Sanjana&rsquo;s second full paper at a visualization conference, following her first at PacificVis. The paper proposes a design space for street-overlaid visualizations, and a declarative grammar to operationalize such space. 
&ldquo;VA-Blueprint: Uncovering Building Blocks for Visual Analytics System Design&rdquo; 
Leonardo Ferreira, Gustavo Moreira, Fabio Miranda 
IEEE Transactions on Visualization and Computer Graphics (To appear) 
This is Leonardo&rsquo;ss second VIS paper, first as first author, and third full paper overall in just 1.5 years into the PhD -- and having joined the program without a CS bachelor&rsquo;ss degree. The paper proposes an LLM-based approach to extract building blocks from papers describing visual analytics systems. The data and interface for the paper are available here: <a href="https://urbantk.org/va-blueprint/">https://urbantk.org/va-blueprint/</a> 
&ldquo;Urbanite: A Dataflow-Based Framework for Human-AI Interactive Alignment in Urban Visual Analytics&rdquo; 
Gustavo Moreira, Leonardo Ferreira, Maryam Hosseini, Carolina Veiga, Fabio Miranda 
IEEE Transactions on Visualization and Computer Graphics (To appear) 
This is Gustavo&rsquo;s fourth VIS paper and the third consecutive year he has had a first-author full paper at VIS. In total, it&rsquo;s his eighth published full paper (!) in just three years into his PhD. The paper proposes a series of design features to support human-AI alignment in the creation of urban dataflows. The code and tutorials for the paper are available here: <a href="https://urbantk.org/urbanite/">https://urbantk.org/urbanite/</a>

EVL PhD Students Sanjana Srabanti, Leonardo Ferreira, and Gustavo Moreira Publish to VIS 2025

Join us in congratulating Nafiul Nipu and co-authors for a newly accepted paper in the <a href="https://visualanalyticshealthcare.github.io/homepage/2025/">VAHC: 16th Annual Workshop on Visual Analytics in Healthcare</a> at IEEE VIS'25. The Workshop on Visual Analytics in Healthcare (VAHC) is the premier research event exploring the application of data visualization and visual analytics to biomedicine. The Workshop is organized by General Chair Alessio Arleo, Eindhoven University of Technology, and Co-Chairs Renata Raidou, TU Vienna and Gabriela Morgenshtern, University of Zurich. 
N. Nipu, L. van Dijk, G. Canahuate, C.D. Fuller, G.E. Marai, &ldquo;Lessons from the Development and Deployment of an Interactive Oncological Risk Estimator&rdquo;, VAHC 2025 (16th workshop on Visual Analytics in Healthcare), in conjunction with IEEE VIS 2025, Vienna, Austria, pp. 1-7, November 2025. 
This is a &ldquo;lessons learned&rdquo; paper about our experience developing and deploying an interactive dashboard for predicting oncological risk in head and neck cancer. The tool is hosted at EVL as <a href="https://risk-calculator.evl.uic.edu/">https://risk-calculator.evl.uic.edu/</a>, it is publicly available, and it is currently used by a large clinician base across multiple continents, which is very impressive. From the data visualization perspective, this work is particularly interesting because we collected clinician feedback more than a year after the initial deployment.

&ldquo;Lessons from the Development and Deployment of an Interactive Oncological Risk Estimator&rdquo; to be Presented at VAHC 2025

EVL PhD candidate Hossein Fathollahian has his short paper accepted at the <ahref="http://biovis.net/2025/">BioMedVis Challenge 2025</a>, a data contest organized by <a href="https://ieeevis.org/year/2025/welcome">IEEE VIS 2025</a>. 
H. Fathollahian, S. Zhao, M. Nipu, G.E. Marai, &ldquo;Attention-based Region of Interest Discovery in 3D Tissue Images&rdquo;, IEEE BioMedVis Challenge 2025, IEEE VIS, 2025. 
This work presents an approach for the detection and exploration of regions of interest (ROIs) using graph-based analysis. The novel computational approach for ROI detection is a main strength, and the interactive frontend includes several features addressing the challenge tasks, such as quick navigation to prominent ROIs. 
Additionally, Hossein paper &ldquo;From Peaks to Patterns&rdquo; was accepted to the ReDesign Contest: 
Authors: Hossein Fathollahian, Marziye Salahshour 
Abstract: MRS is a non-invasive way of gaining information about cellular metabolism and can be used to study neurological and metabolic disorders. However, the clinical utility is limited by low signal quality, overlapping spectral peaks, and the inability to interpret and compare metabolite data. We developed an interactive visual analysis system that establishes the methods by adding filtering, quality measurement, and a comparative summary of MRS signals. This will allow researchers to perform a more accurate evaluation of spectral data, which will help them understand the molecular processes behind the complex neurological and metabolic processes in greater depth. 
Congratulations, Hossein!

BioMedVis 2025 Accepted Papers

EVL, Computer Science Professor and Director, UIC Institute for Health Data Science Research, Liz Marai delivered the Keynote at the <a href="https://visualanalyticshealthcare.github.io/homepage/2025/program.html">Visual Analytics in Healthcare (VAHC) 2025</a> meeting in early November in Vienna, Austria. VAHC is associated with <a href="https://ieeevis.org/year/2025/welcome">IEEE VIS 2025</a> held November 2 - 7, 2025. 
Title: &ldquo;The Blackbox Patient and the Power-of-Many&rdquo; 
Abstract: 
Precision medicine aims to tailor treatment for individual patients based on big data collected from cohorts of similar patients. This power-of-many can also be used to predict treatment outcomes and treatment-related side effects for individual patients. Visual computing and visual analytics play a crucial role in addressing this problem, from calculating spatial similarity to facilitating risk communication. This talk reflects on work in this area, emerging lessons, and future research directions.

Professor Liz Marai Delivers Keynote at the Visual Analytics in Healthcare

Regretted Electronic Visualization Laboratory (EVL) faculty Leland Wilkinson and EVL alumna Anushka Anand received the 20-Years InfoVis Test of Time Award at the IEEE VIS 2025 conference meeting this month. A &ldquo;Test of Time&rdquo; award is a highly-prestigious accolade given by academic and professional organizations to recognize published papers that have had a significant and lasting impact on their field. These awards honor research that has remained influential and useful long after its initial publication, often after a minimum of 10 years. Anushka Anand accepted the award. Here is the accolade: 
Graph-theoretic scagnostics 
Leland Wilkinson, Anushka Anand, Robert L. Grossman 
<a href="https://ieeexplore.ieee.org/document/1532142">10.1109/INFVIS.2005.1532142</a> 
In this highly influential work, the authors established the mathematical and algorithmic foundations of the now well-known scagnostics techniques for visualizing high-dimensional multivariate data. While they duly acknowledged John and Paul Tukey for the original idea, they not only formalized the concept of scagnostics but also introduced a suite of graph-theoretic measures to enable feature-driven visualization. The impact of this work extends well beyond scatter plots, setting a gold standard for visualizing complex datasets through the analysis of visual features in their graphical representations.

EVLers Receive 20-Years InfoVis Test of Time Award at the IEEE VIS 2025

Electronic Visualization Laboratory (EVL) alumna Anushka Anand received the 10-year Test of Time Award at the IEEE VIS 2025 conference this month. A &ldquo;Test of Time&rdquo; award is a highly-prestigious accolade given by academic and professional organizations to recognize published papers that have had a significant and lasting impact on their field. These awards honor research that has remained influential and useful long after its initial publication, often after a minimum of 10 years. Anushka Anand accepted the award. Here is the accolade: 
2015 (10-Years InfoVis ToT Award): 
Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations 
Kanit Wongsuphasawat, Dominik Moritz, Anushka Anand, Jock D. Mackinlay, Bill Howe, Jeffrey Heer 
<a href="https://ieeexplore.ieee.org/document/7192728">10.1109/TVCG.2015.2467191</a> 
This work represents a major landmark in the development of visualization technology, transforming from human-led interactive visualization to a mixed-initiative approach, with which visualization plots are automatically generated as machine-led recommendations. In the paper, the authors presented not only the novel concept, but also the Voyager system for demonstrating the concept, including its architecture, algorithmic components, and visual design, together with a study for comparing it with another system. With the advancement of AI, the mixed-initiative approach is even more relevant today.

EVL alumna Anushka Anand received the 10-year Test of Time Award at IEEE VIS 2025

EVL PhD graduate Andrew Wentzel and co-authors publish in Nature Scientific Data. &ldquo;Clinical and dosimetric dataset of time-to-event normal tissue complication probability for osteoradionecrosis&rdquo; Natalie A. West, Serageldin Kamel, Andrew Wentzel, Zaphanlene Kaffey, Moamen Abdelaal, G. Elisabeta Marai, Guadalupe Canahuate, Xinhua Zhang, Melissa M. Chen, Kareem A. Wahid, Jillian Rigert, Kristy K. Brock, Mark Chambers, Adegbenga O. Otun, Ruth Aponte-Wesson, Renjie He, Mohamed A. Naser, Katherine A. Hutcheson, Abdallah S. R. Mohamed, Lisanne V. van Dijk, Amy C. Moreno, Stephen Y. Lai, Clifton D. Fuller, Laia Humbert-Vidan 
This paper describes the open-access data used for building the ORN predictor model and interface (the latter is hosted at EVL). ORN is a delayed-onset, low incidence, high cost side effect of radiation therapy in head and neck cancer. 
medRxiv 2025.08.12.25333524; doi: https://doi.org/10.1101/2025.08.12.25333524

EVL Graduate Researcher Kunting Qi HiPC 2025 Distinguished Paper Award Nominee

Contact