In 2024, the SCI Institute marked three decades of multidisciplinary research, innovation, and impact. On April 24th and 25th, we had two days of events showcasing the ground-breaking research of SCI’s faculty, staff and students and highlighting our vision for the future. You can watch all talks and panel discussions here
Welcome, Mitzi Montoya, Sr. VP Academic Affairs; Manish Parashar, SCI Director
Keynotes: The Value of Translational, Multi-disciplinary Science
- Pat Hanrahan, Canon Professor in the School of Engineering and Professor of Electrical Engineering, Emeritus, Stanford
- Will Schroeder, Kitware co-founder
- Dave Weinstein, Director of Virtual Reality and Augmented Reality at NVIDIA
Panel Discussion: The Next Decade
Moderator: Dr. Paul Rosen, Associate Professor
Kate Isaacs, Associate Professor
Amir Arzani, Assistant Professor
Shireen Elhabian, Associate Professor
Tamara Bidone, Assistant Professor
Bao Wang, Assistant Professor
Panel Discussion: Harnessing Responsible AI: Opportunities and Challenges At the Intersection of AI and Society
Moderator: Mike Kirby
Margaret Woolley Busse, Executive Director, Utah Department of Commerce
Bill Anderegg, Associate Professor, School Of Biological Sciences, University of Utah
Ana Marasovic, Professor, Kalhert School of Computing, University of Utah
Fireside Chat: SCI History & Legacy
Moderator: Rob MacLeod, SCI co-Founder
Dave Pershing, former University of Utah President
Greg Jones, Director, Global Business Development/Product Management, XR at NVIDIA
Chris Johnson, SCI co-Founder
- Use-Inspired AI Applications
- Connecting Foundational AI with Engineering
- AI for Optimal Hypersonic Vehicle Design
- Accelerating Predictions with Neural Operators
- What is Physics-Informed Machine Learning (PIML)?
- Advances in Physics-Informed Neural Networks
- Prospective Validation from a Retrospective Trial That Validated an AI/MLDerived Whole-Genome Biomarker as the Most Accurate and Precise Predictor of Survival and Response to Treatment in Glioblastoma
- AI/ML-Derived Mechanistically-Interpretable Whole-Genome Biomarkers of Patient Survival in Pre-Treatment Primary Neuroblastoma Tumors and Whole Blood
- Cardiac Electrophysiology Background
- Image-Based Modeling: From Image to Cardiac Digital Twins
- Machine Learning in Cardiology
- Modeling of Cardiac Electrophysiology
- Software and Support in the CEG
- Uncertainity Quantification Applied to Cardiac Electrophysiology
- A Geometric Visual Comparative Analysis of Neural Network Model
- Attribute-Aware Radial Basis Functions: Interactive Visualization of Time Series Particle Volumes Using RT Core Range Queries
- Immersive Neuron Tracing in Large-scale Microscopy Data
- National Science Data Fabric: Data Democratization at a National Level
- Scalable AI Training and Inference of Cancer Images for in-situ Surgery Support
- U.S.-Canada Center on Climate-Resilient Western Interconnected Grid
- Web-based Visualization and Analytics of Petascale NASA Climate Data: Equity as a Tide that Lifts All Boats
- WIFIRE: A Scalable Cyberinfrastructure for Wildfires
- VisStore: Achieving Equity in Data Access for Agriculture, Materials Science, and More
- Patient-Specific Cardiovascular Computational Fluid Dynamics Modeling
- Dimensionality reduction and denoising of unsteady flows
- Physics Informed Neural Networks (PINNs) in Cardiovascular Flows
- CranioRate: A Deep-Phenotyping Analysis Toolset, Repository, and Interface for Craniosynostosis
- ShapeWorks: An Integrated Suite for Shape Representation and Analysis & More
- Computational Modeling of Adaptive Bone Healing During Physical Rehabilitation
- Vessel Growth and Remodeling in FEBio
- Impact of Intermolecular Crosslinking on Tendon Mechanics
- Quantifying Material Uncertainty in Computational Biomechanics
- Deixis-Centered Documentation for Data Meetings
- Interactive Visualization of Binary Code for Compiler Optimizations
- GASP: Gradient Aware Shortest Path Algorithm for Boundary-Confined Visualization of 3D ReebGraphs
- How do people lie with charts?
- Enabling Analysis of Complex Data with User-Centric Approaches to Data Visualization
- Elevate Your Charts: Make Visualizations Speak with Effective and Engaging Annotations
- Deciphering Visual Cognition: The Influence of Line Chart Variations on Trust, Trend Perception, and Reproducibility
- Crowdsourced think-aloud studies
- Accelerating Data-Intensive Seismic Research Through Parallel Workflow Optimization and Federated CI
- Optimizing Data Movement for GPU-Based In-Situ Workflow
- GeoSciFramework : Pioneering Early Warning Systems Through Big Data And Machine Learning
- Developing Efficient Uncertainty Visualization Algorithms in VTK-m
- A Virtual Frame Buffer Abstraction for Parallel Rendering of Large Tiled Display Walls
- Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks
- Ray Tracing Generalized Tube Primitives: Method and Application
- Visualizing Uncertainties in Ensemble Wildfire Simulations
- GPGPU Adaptive Ray Tracing for Radiation Transport in the Nyx Cosmological Simulation Code
- Local Regularization for Inverse Problems (EEG)
- Approximation and Visualization of Surface Uncertainty
- OpenSpace: Scientific Astronomy Visualization
- FluoRender: An Interactive System for 3D and 4D Image Data Analysis in Biomedical Research
- Fast Comparative Analysis of Merge Tree Using Locality Sensitive Hashing
- In-context Example Ordering Guided by Label Distributions
- Activation Space Visualization of Morse Complex Generation
- Flexible & Probabilistic Topology Tracking Using Partial Optimal Transport
- Topological Characterization and Uncertainty Visualization of Atmospheric Rivers
- Topology Preserving Compressor
- Tolga’sGroup
- Eye-gaze Guided Alignment between Image and Text
- Pathology-specific Data Augmentation
- Machine Learning for Nuclear Forensics
- Hierarchical Transformer: Bring Scale To Your Attention