University of Wisconsin–Madison
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PEOPLE

The STRIDE Consortium is housed within the Department of Civil and Environmental Engineering at the University of Wisconsin–Madison, while affiliated researchers span multiple departments across the College of Engineering, the College of Letters and Sciences, and the School of Computer, Data and Information Sciences at UW-Madison. 

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DIRECTOR’S MESSAGE

Remote sensing is transforming how we understand and engineer the subsurface. Across energy, infrastructure, and environmental sectors, we are now able to observe fractures, stress changes, and fluid interactions as they evolve—not years later, but in real time. Yet major challenges remain: reducing uncertainty in material behavior, assessing geohazards before they escalate, and extracting actionable insights from rapidly growing data streams. I founded the STRIDE Consortium to bring together researchers and industry partners who see this opportunity clearly—to turn advanced sensing, physics-based models, and artificial intelligence into practical tools that reduce risk and cost throughout the life of a reservoir or engineered system. 

Our focus is simple and ambitious: to understand civil and geological systems from microcracks to field-scale seismicity, using technologies such as distributed fiber-optic sensing, acoustic emissions, and deep learning. By anchoring our work in laboratory and field observations, we aim to reveal how damage initiates, organizes, and ultimately controls performance underground or within civil materials. 

STRIDE is built for collaboration. Consortium members shape our research directions, gain early access to new analytics and datasets, and help accelerate deployment of methods that can improve drilling, fracturing, geothermal stimulation, structural health monitoring, and long-term monitoring of civil and geologic systems. 

I invite you to join us—to connect the science of damage evolution with the solutions our industries urgently need. Together, we can unlock more sustainable, resilient, and intelligent subsurface engineering. 

– Jesse Hampton, PhD

Prof. Jesse Hampton, Assistant Professor at UW–Madison, leads the STRIDE Consortium and the Geomechanics and Damage (GeoD) Group at the University of Wisconsin–Madison. His work sits at the intersection of civil and geological engineering, geophysics, and data science—advancing remote-sensing technologies to quantify rock and infrastructure behavior from microcracks to field-scale seismicity.

Prior to joining UW–Madison, Dr. Hampton spent seven years in the oil and gas industry developing advanced geomechanics and sensing technologies with New England Research and Halliburton, contributing to more than 19 patents and numerous publications. Today, his team partners with industry to transform distributed fiber-optic sensing, acoustic emissions, and deep learning into actionable tools for reducing risk and cost in subsurface engineering.

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AFFILIATED RESEARCHERS

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DANTE FRATTA

Associate Professor of Geological Engineering

Specialty: DAS, signal processing

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HERB WANG

Emeritus Professor of Geological Engineering

Specialty: poroelasticity, DAS

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VICTOR ZAVALA

Associate Professor of Chemical & Biological Engineering

Specialty: graph theory, topological analyses

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FRED SALA

Assistant Professor of Computer Science

Specialty: machine learning

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HIROKI SONE

Associate Professor of Geological and Civil & Environmental Engineering

Specialty: geomechanics, subsurface stress

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GRADUATE STUDENTS & POSTDOCS

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ANA PAULA VILLAQUIRÁN VARGAS

BS, Universidad Industrial de Santander, Colombia
MS, Universidad Industrial de Santander, Colombia

Areas of study: fracture fluid flow, reservoir engineering

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ERIK KNIPPEL

BS, Colorado School of Mines

Areas of study: damage mechanics, induced seismicity

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ELLIE JOHNSON

BS, UW-Madison Geological Engineering and Geoscience

Areas of study: graphic neural networks, machine learning, induced seismicity

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CHAO-SHENG WU

BS, National Central University, Business Administration in Economics
MS, UW-Madison, Statistics: Data Science

Area of study: DAS, deep learning

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NATHAN OPPERMAN

BS, Missouri University of Science and Technology, Geology and Geophysics

Areas of study: distributed fiber optic sensing, fracture system imaging 

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GOWSHIKAN ARULANANTHAN

BS, University of Moratuwa, Civil Engineering
MS, University of Moratuwa, Civil Engineering

Area of study: distributed fiber optic sensing

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YERKEZHAN MADENOVA

BS, Nazarbayev University, Civil Engineering
MS, Nazarbayev University, Mining Engineering

Areas of study: fracture caging and fracture systems

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RESEARCH COORDINATOR

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SABRINA BRADSHAW

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SHARED COST,
EXPONENTIAL GAIN

Turn our revolutionary research into proprietary, field-ready tools that secure your competitive edge for the next decade.

STRIDE a UW–Madison Consortium