GEOPHYSICS · FIBER-OPTIC SENSING · AI
Building intelligent ways to observe, understand, and protect the physical world.
I connect fiber-optic sensing, geophysics, and AI to study energy, earthquakes, infrastructure, and environmental change.
01 /
Four areas where sensing can reveal what is changing.
I use seismic sensing and geomechanics to study fractures, fluids, and geothermal reservoirs.
Unconventional reservoirs · EGS · geothermal · hydraulic fractures · reservoir characterization
I develop fast, traceable ways to detect and interpret earthquakes from seismic and fiber-optic data.
Real-time monitoring · edge computing · HPC · natural and anthropogenic events
I use distributed sensing to observe roads, bridges, tunnels, slopes, and traffic.
Roads · bridges · slopes · tunnels · highways · railways · metros · traffic and weight
I study ground motion for hazard monitoring, mine safety, and environmental observation.
Natural and human-induced hazards · mine safety · early warning · wildlife observation02 /
Research becomes useful when sensing, computation, interpretation, and communication work as one dependable system.
A live dashboard and AI assistant help interpret bridge vibration, alerts, and engineering reports.
Bridge vibration · structural modes · explainable alerts · reporting
Fiber-optic sensing tracks how roadbeds respond and change over time.
Roadbed response · corridor monitoring · distributed measurementRoadside fiber sensing supports traffic flow, speed, axle detection, and vehicle weighing research.
Traffic flow · vehicle speed · axle detection · dynamic weighing
Edge and high-performance computing turn continuous seismic data into timely, traceable results.
Continuous streams · edge processing · scalable computing · traceable outputs03 /
Each capability is a chapter in the same story: observe physical change, understand its mechanism, reason with evidence, and support better decisions.
Distributed acoustic sensing and seismic arrays transform long fibers and dense sensors into spatially continuous measurements.
Physics-based modeling links vibration, strain, deformation, fractures, and wave propagation to the processes that create them.
Scientific computing and AI organize validated tools, interrogate complex data, and communicate traceable interpretations.
Monitoring systems carry research into energy, infrastructure, hazards, transportation, and environmental observation.
04 / A GRAND CHALLENGE
I build observation systems that connect dense sensing, physical models, and AI to explain change in the physical world.
I believe the future of geoscience will be driven by the integration of physics, sensing, computation, and AI.
05 /
Exploratory ideas for moving from intelligent instruments to more open, reproducible, and verifiable science.
FROM INTELLIGENT OBSERVATION TO TRUSTED COLLABORATION
Scientific agents that connect observations, physical models, validated algorithms, and human judgment—accelerating discovery without hiding the evidence trail.
New ways to organize open collaboration, reproducible workflows, shared scientific resources, and transparent recognition of contributions.
Tamper-evident provenance for data, models, versions, and decisions—used where verifiability adds real scientific value, not as a technology slogan.
These are forward-looking research questions, not claims of deployed production infrastructure.
06 /
Peer-reviewed articles and a selected conference contribution. Available author copies can be downloaded directly; the site records aggregate download totals only.
Reviews of Geophysics and Planetary Physics
Chinese Journal of Geophysics
Chinese Journal of Geophysics
06B / PATENTS
Selected patent applications spanning earthquake early warning, transportation monitoring, infrastructure health, and vibration-based geophysics.
Zhao Y. H., He P. C., Meng H. R., Luo B.
CN202610765527.6 · Filed 2026-05-29 · Southern University of Science and TechnologyZhao Y. H., Meng H. R., He P. C., Song Z. L., Jin G.
CN202610799671.1 · Filed 2026-06-04 · Southern University of Science and TechnologyHe P. C., Zhao Y. H., Meng H. R., et al.
CN202511267391.8A · CN121430956A · Filed 2025-09-05He P. C., Meng H. R., et al.
CN202410170006.7A · Filed 2024-02-06He P. C., Meng H. R., Cai X. L., Gu Z., Liu Z. W., Zhou M., Yang C., Han T. J.
CN202410169748.8A · CN118191933A · Filed 2024-02-0607 /
I am a postdoctoral researcher in Geophysics at Colorado School of Mines. My work connects distributed fiber-optic sensing, seismology, geomechanics, scientific computing, and AI to challenges in geothermal energy, infrastructure resilience, transportation, and environmental observation.
My aim is not simply to collect more data. It is to develop trustworthy ways of observing the physical world, explaining what those observations mean, and translating them into knowledge that can improve safety, sustainability, and scientific understanding.
Colorado School of MinesPostdoctoral research in DAS, geothermal monitoring, and reservoir characterization
Southern University of Science and TechnologyPostdoctoral research and intelligent transportation / urban geophysics collaboration
IsTerre, Grenoble, FranceJoint doctoral program in geophysics; interseismic deformation modeling
Peking UniversityPhD in Geophysics; earthquake mechanics and deformation modeling
Peking UniversityBS in Geophysics; mountaineering leadership and field exploration
09 / CONTACT
I welcome conversations about research collaboration, industry partnerships, consulting, scientific communication, and future opportunities.