Experience

Current appointments

Assistant Professor
2020 - now

Department of Computer Science - Utah State University, USA

Utah State University
Staff Scientist
2020 - now

Scientific Computing and Imaging Institue

Center for Extreme Data Management Analysis and Visualization (CEDMAV) - University of Utah, USA

SCI Institute   CEDMAV
President
2019 - now

Data Intensive Science (nonprofit 501c3), USA

DataIntensiveScience.org

Previous appointments

PostDoctoral Fellow
2017 - 2020

Scientific Computing and Imaging Institue

Center for Extreme Data Management Analysis and Visualization (CEDMAV) - University of Utah, USA

System Analyst
2013 - 2015

Product Innovation & Advanced EW Solutions - Elettronica SpA, Italy

Software Engineer
2012 - 2013

High Tech Defence/Aerospace division - Capgemini SpA, Italy

Web developer
2006 - 2012

Freelancer, Italy

Education

Degrees

PhD Computer Science
2018

University of Rome "Tor Vergata", Italy

Thesis: Combining Scalability Portability and Usability in Big Data Analytics
MS Computer Engineering
2013

University of Rome "Tor Vergata", Italy

Thesis: Distributed Traffic Analysis Attacks to Network Centric Critical Systems.
BE Computer Engineering
2010

University of Rome "Tor Vergata", Italy

Thesis: Automatic system for ontology population via web page semantic analysis.

Visiting Scholar

Visiting Scholar
2015-2016

Scientific Computing and Imaging Institue - University of Utah, USA

Visiting Scholar
2015-2016

King Abdullah University of Science and Technology (KAUST), Saudi Arabia

Research

High Performance Computing

Large scale data analysis, dynamic runtime systems, in situ analytics, parallel I/O, edge computing.

Scientific Visualization

Interactive scientific data analytics, feature extraction and tracking, topological analysis.

Selected Publications


Portable and Composable Flow Graphs for In Situ Analytics
Sergei Shudler, Steve Petruzza, Valerio Pascucci, Peer-Timo Bremer
The 11th IEEE Symposium on Large Data Analysis and Visualization (LDAV 2021)   PDF
Investigating the effect of grain structure on compressive response of open-cell metal foam using high-fidelity crystal-plasticity modeling
Dongfang Zhao, Kristoffer E Matheson, Brian R Phung, Steve Petruzza, Michael W Czabaj, Ashley D Spear.
Elsevier - Materials Science and Engineering: A, 2021   PDF
Distributed merge forest: a new fast and scalable approach for topological analysis at scale
Xuan Huang, Pavol Klacansky, Steve Petruzza, Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci.
ACM International Conference on Supercomputing (ICS), 2021.   PDF
Adaptive Spatially Aware I/O for Multiresolution Particle Data Layouts
Will Usher, Xuan Huang, Steve Petruzza, Sidharth Kumar, Stuart R. Slattery, Sam T. Reeve, Feng Wang, Chris R. Johnson, and Valerio Pascucci.
IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2021.   PDF
Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements
Torin McDonald, Will Usher, Nate Morrical, Attila Gyulassy, Steve Petruzza, Frederick Federer, Alessandra Angelucci, and Valerio Pascucci.
IEEE Transactions on Visualization and Computer Graphics, 2020.   PDF
High-throughput feature extraction for measuring attributes of deforming open-cell foams.
Steve Petruzza, Attila Gyulassy, Samuel Leventhal, John J Baglino, Michael Czabaj, Ashley D Spear, and Valerio Pascucci.
IEEE Transactions on Visualization and Computer Graphics, 2019.   PDF
Babelflow: An embedded domain specific language for parallel analysis and visualization.
Steve Petruzza, Sean Treichler, Valerio Pascucci, and Peer-Timo Bremer.
Proceedings of IEEE International Parallel and Distributed Processing Symposium 2018, IPDPS ’18, 2018.   PDF
Toward an exascale volume visualization system. In Eurographics Symposium on Parallel Graphics and Visualization.
Qi Wu, Will Usher, Steve Petruzza, Sidharth Kumar, Feng Wang, Ingo Wald, Valerio Pascucci, and Charles D Hansen.
Proceedings of Eurographics Symposium on Parallel Graphics and Visualization. The Eurographics Association, 2018.   PDF
Scalable data management of the uintah simulation framework for next-generation engineering problems with radiation.
Sidharth Kumar, Alan Humphrey, Will Usher, Steve Petruzza, Brad Peterson, John A Schmidt, Derek Harris, Ben Isaac, Jeremy Thornock, Todd Harman, et al.
Proceedings of Asian Conference on Supercomputing Frontiers, pages 219–240. Springer, 2018.   PDF
ISAVS: Interactive scalable analysis and visualization system.
Steve Petruzza, Aniketh Venkat, Attila Gyulassy, Giorgio Scorzelli, Frederick Federer, Alessandra Angelucci, Valerio Pascucci, and Peer-Timo Bremer.
Proceedings of SIGGRAPH Asia 2017 Symposium on Visualization, SA ’17, pages 18:1– 18:8, New York, NY, USA, 2017.   PDF
Reducing network congestion and synchronization overhead during aggregation of hierarchical data.
Sidharth Kumar, Duong Hoang, Steve Petruzza, John Edwards and Valerio Pascucci.
Proceedings of IEEE 24th International Conference on High Performance Computing (HiPC), pages 223–232, Dec 2017.   PDF
In-staging data placement for asynchronous coupling of task-based scientific workflows.
Qian Sun, Melissa Romanus, Tong Jin, Hongfeng Yu, Peer-Timo Bremer, Steve Petruzza, Scott Klasky, and Manish Parashar.
Proceedings of International Workshop on Extreme Scale Programming Models and Middleware (ESPM2) (held jointly with Supercomputing 2016), pages 2–9. IEEE, 2016.   PDF

Computing Elevated Lab

The Computing Elevated Lab investigates novel techniques to improve large scale data analysis and visualization in different settings, from edge devices to leadership supercomputers. We focus on different aspects of data management and analysis of large scientific data, including heterogenous parallel I/O, interactive analysis and visualization, real-time and cloud computing.


Current Students

MS
Pravin Paudel (MS)
parallel WebGPU scientific visualization
MS
Shubham Gupta (MS)
AI-driven scientific visualization
PhD
Santosh Arial (PhD)
in situ analysis
MS
Andres Sewell (MS)
real-time aerial data analysis
MS
Siddharth Bhawsar (MS)
edge AI
BS
Ethan Payne (BS)
real-time aerial data analysis

Previous Students

PhD
Ryan Goodman (PhD)
real-time aerial data analysis

Other Projects

National Science Data Fabric
Integrated data delivery and access to shared storage, networking, computing, and educational resources that will democratize data-driven scientific discovery
Collaborators: A bunch
http://nationalsciencedatafabric.org/
OpenVisus framework
Open source frameworks for large scale scientific data analysis and visualization. Applications in several domains including: neuroscience, material science, combustion and climate simulations, precision agriculture.
Collaborators: University of Utah, University of Alabama at Birmingham
https://www.visus.org https://www.visoar.net
ALPINE Ascent
Lightweight in-situ visualization and analysis infrastructure for multi-physics HPC simulations. Part of Department of Energy’s Exascale Computing Project (ECP).
Collaborators: University of Utah, Lawrence Livermore National Lab, University of Oregon, Lawrence Berkeley National Lab, Kitware Inc.
http://www.ascent-dav.org
NSF Cyberinfrastructure Center of Excellence (CiCOE) Pilot (now CI-Compass)
Leadership, expertise, and active support to NSF Major Facilities cyberinfrastructure.
Collaborators: University of Southern California, University of North Carolina at Chapel Hill, University of Notre Dame, University of Utah, Indiana University
https://cicoe-pilot.org https://ci-compass.org
Interactive Analysis and Visualization of Large Scale Airborne Observatory Platform Data
Cyberinfrastructure for interactive visualization of Large scale Airborne Observatory Platform image data. This infrastructure has been also used by University of Florida to present their deep learning analysis results on these data.
Collaborators: National Ecology Observatory Network (NEON), University of Utah, University of Florida
https://data.neonscience.org/data-products/DP3.30010.001#visualizations http://tree.westus.cloudapp.azure.com/trees/
Distributed Resources for the Earth System Grid Advanced Management (DREAM)
Next-generation ESGF (Earth System Grid Federation) architecture for managing and accessing data and services resources on a distributed and scalable environment.
Collaborators: NASA Goddard Space Flight Center, NASA Jet Propulsion Laboratory, Lawrence Livermore National Laboratory, Princeton University, University of Utah
https://esgf.llnl.gov https://www.youtube.com/watch?v=S4s1neB9FJs

Teaching

Blog Desc SciVis
Spring 2022 - Utah State University

Scientific Visualization

This course introduces principles, methods and techniques for visual analysis of scientific data...
Blog Desc HPC
Fall 2021 - Utah State University

High Performance Computing

This course is an introduction to high-performance computing. High-performance computing (HPC) is the practice of leveraging parallel computing power...
Previous courses

Other fun stuff