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At UH, researchers are optimizing algorithms and simulations to study complex problems. They are developing advanced computing techniques to analyze everything from network performance and hardware control systems to material properties, even human and systems behavior.

Italian Space Agency Deliver Unprecedented View of Antarctica Glacier to Predict Sea-Level Rise

Italian Space Agency Deliver Unprecedented View of Antarctica Glacier to Predict Sea-Level Rise

Pietro Milillo has teamed with international partners to examine how Antarctica’s massive glaciers are shifting and how that could predict sea level changes.

November 25, 2025 / Laurie Fickman


Pietro Milillo

A University of Houston scientist has teamed with international partners to examine how Antarctica’s massive glaciers are shifting and how that could predict sea level changes. Their latest collaboration offers the most precise mapping to date in Antarctica of grounding lines, the points where glaciers lift from bedrock and begin to float on the ocean.

On Earth today, only two ice sheets, or continental glaciers, exist — one in Antarctica and the other in Greenland. Over thousands of years of snow compacting and compressing, the ice sheets formed and now cover most of the land in those areas.

About five years ago, the Italian Space Agency began examining Antarctica’s glaciers during its dedicated COSMO-SkyMed mission, meant to observe the earth using its constellation of four synthetic aperture radar satellites, first launched 17 years ago.

And now, after transcription and interpretation, these observations reveal tidal movements and retreat rates in Antarctica of up to 700 meters — or about a half mile — per year in some regions, providing an unprecedented view of glacier evolution.

Antarctica is a significant contributor to global sea level rise, with the potential to substantially increase sea level by the end of this century.

It seems a simple math problem: If the grounding line is measured as having moved inland, where glacier thickness increases, then more ice is flowing outland — or into the ocean. And the more ice into the ocean, means higher sea levels. And vice versa.

“Continuous monitoring of Antarctic evolution is important to understand ice sheet dynamics, minimizing uncertainties in sea level rise projections, and develop strategies to mitigate the risks posed by rising sea level,” said Pietro Milillo, assistant professor of civil and environmental engineering. “This dataset provides the most detailed view yet of how Antarctica’s glaciers are interacting with the ocean. For the first time, we can monitor fast-flowing glaciers at a continental scale using high-frequency radar observations.”

Milillo and the Italian Space Agency published their findings in Scientific Data, a Nature publication.

The paper presents an Antarctic grounding line dataset, manually mapped using Differential Interferometric Synthetic Aperture Radar (DInSAR) data. Over the years, various techniques have been developed for mapping grounding lines, but DInSAR stands out for its ability to operate under all weather conditions, and its proven effectiveness in continuously monitoring grounding lines and detecting their rapid migrations.

To measure tiny movements in the ice, the team analyzed 794 images from over 74 glaciers in East Antarctica, West Antarctica, and the Antarctic Peninsula between July 2020 and March 2022.

“Our collaboration with NASA and the University of Houston highlights how international cooperation can advance the frontiers of Earth observation,” said Luigi Dini of the Italian Space Agency, coauthor of the study. “The COSMO-SkyMed system’s radar technology gives scientists a powerful lens to observe Antarctica’s evolution in near real time.”

The dataset fills major data gaps left by previous missions which struggled to map fast-flowing glaciers and is freely available to the scientific community.

“By partnering with the Italian Space Agency and funding by NASA, we’ve made these data publicly available so scientists worldwide can better understand and model how Antarctic glaciers are evolving and contributing to sea-level rise,” Milillo said.


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Andrew Kapral

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Director of Engaged Data Science
HPE Data Science Institute
Faculty Bio

Building on his expertise in STEM education and the success of existing programs such as Data Analytics in Student Hands (DASH) and Project Engagement Encouraging Rising Students (PEERS), Andrew Kapral aims to use project-based learning experiences to develop a pipeline of students prepared to pursue post-secondary education and career pathways in data science. Using responsive engagement as a focal point, the Engaged Data Science initiative puts the needs of communities as its core focus and brings together a variety partners including local community leaders, UH students and faculty, K-12 schools and the business community to find innovative ways to use data science to improve collective outcomes.

Research Areas

    Research Topics
    Scientific Computing

Jerry Ebalunode

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Senior Researcher
HPE Data Science Institute
Faculty Bio

Jerry Ebalunode, Ph.D., has over 20 years of experience in high-performance computing. He earned a Ph.D. in Biochemistry from UH in 2005, focusing on computational simulations for drug design, and completed a postdoctoral fellowship at the BRITE Institute, where he developed computational tools for drug discovery. His expertise includes scientific computing, bioinformatics and data analytics.

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    Scientific Computing

Ishita Sharma

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Sr. Data Scientist
HPE Data Science Institute
Faculty Bio

Data Exploring and Analyzing, Data Preprocessing and Analysis, Data Mining, Data Visualization, Machine Learning applied to healthcare data sets, Deep learning and Neural Networks applied to Face recognition, Statistics, Sentiment Analysis, Computer Vision- Object detection, Artificial Intelligence.

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    Research Topics
    Scientific Computing

Claudia Neuhauser

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Director
HPE Data Science Institute
Faculty Bio

Claudia Neuhauser is the Vice President/Vice Chancellor for Research at the University of Houston. Prior to coming to the University of Houston, Claudia served as Associate Vice President for Research and Director of Research Computing at the University of Minnesota. In her capacity as Director of Research Computing she directed the University of Minnesota Informatics Institute (UMII), the Minnesota Supercomputing Institute (MSI), and U Spatial.

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    ML / AI
    Scientific Computing

Xin Fu

Xin Fu
Associate Professor
Electrical Engineering
Cullen College of Engineering 2, Room W344B
Faculty Bio

Computer architecture; Energy-efficient computing; High-performance computing; Hardware reliability and variability; Mobile computing; Heterogeneous computing; Emerging technologies; General-purpose computing on graphics processing units (GPGPUs); On-chip interconnection network.

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    Scientific Computing

Vedhus Hoskere

Vedhus Hoskere
Assistant Professor
Civil and Environmental Engineering
Faculty Bio

Vedhus Hoskere's current research interests are highly interdisciplinary, at the intersection of civil engineering, computer science and robotics. His doctoral work at the University of Illinois with Billie F. Spencer Jr. focused on developing artificial intelligence, machine learning and computer vision solutions for rapid and automated civil infrastructure inspection and monitoring. For his research toward automated post-earthquake building inspections, Hoskere received the Liu Huixian Earthquake Engineering Scholarship in 2018. 

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    Image Analysis
    ML / AI
    Natural Language Processing
    Robotics
    Scientific Computing
    Visualization

Richard Meisel

Richard Meisel
Assistant Professor
Biology and Biochemistry
Faculty Bio

Richard Meisel’s group analyzes genomic data to understand how environmental variation and sex differences influence diversity within populations and divergence between species. They are specifically interested in the evolution of sex chromosomes and animal-bacteria interactions.

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    Scientific Computing