RESEARCH. FIELD PRACTICE. ENGINEERING JUDGMENT.
Dr. Xuefeng (Jason) Nong — Founder of RAUZ
Dr. Xuefeng (Jason) Nong founded RAUZ around a research-to-practice approach to environmental and engineering monitoring: verify evidence, understand physical context and turn observations into trusted intelligence.
Founder & Technical Origin
Research depth. Field context. A clearer way to read monitoring evidence.
Dr. Xuefeng (Jason) Nong is the founder of RAUZ, operated by Rauz Caucasus LLC in Tbilisi, Georgia. His background connects geotechnical research, instrumentation and monitoring, infrastructure engineering and environmental geotechnics. That combination shapes RAUZ’s focus on the layer between measurement and decision: checking whether data can be trusted, understanding the physical context and interpreting mixed evidence before conclusions are drawn.
University of Tokyo
The University of Tokyo repository records a Doctor of Engineering degree awarded to Nong Xuefeng on 27 September 2013 through the Department of Civil Engineering, Graduate School of Engineering.
Ground, water and environmental behaviour
Published work spans soft-rock weathering, soil-water characteristic curves, soil shrinkage and root–soil mechanical response—subjects where measurements only become useful when the physical mechanism is understood.
Monitoring and infrastructure
The official GEOOE founder profile records professional experience across geotechnical and environmental engineering, instrumentation and monitoring, soil investigation, infrastructure delivery and quality management.
Why RAUZ Exists
The hard part is often not collecting another reading. It is deciding what the evidence means.
Monitoring programmes can combine field instruments, survey, environmental observations, remote sensing and project records. Each source has different resolution, uncertainty, geometry and failure modes. RAUZ was founded around the engineering gap that remains after the measurements arrive: validating the evidence, comparing independent signals, relating change to plausible mechanisms and communicating what should be checked next.
Observe
Field sensors, survey, InSAR, environmental observations and project records describe different parts of the same physical system.
Validate
Baselines, timestamps, units, completeness, repeatability, drift and metadata are checked before apparent movement is treated as meaningful.
Interpret
Trend, rate, spatial pattern, construction sequence, geology, groundwater and environmental context are considered together where evidence is available.
Decide
Measured facts, engineering interpretation, uncertainty and recommended follow-up are separated so the project team can act on a traceable basis.
Above measurement. Before decision.
RAUZ’s role is not to replace the field measurement system or the responsible project professionals. It is to make the evidence easier to verify, compare and interpret.Academic Foundation
Geotechnical research before monitoring intelligence.
The founder’s academic record is relevant to RAUZ because it starts with physical behaviour rather than software. The University of Tokyo’s official repository records Nong Xuefeng as a doctoral graduate in Engineering from the Department of Civil Engineering. The university’s Geotechnical Engineering Laboratory lists his doctoral thesis on the laboratory reproduction and microscopic observation of the mechanical weathering process of soft rock.
Doctor of Engineering — The University of Tokyo
Degree awarded 27 September 2013. The official repository identifies the Department of Civil Engineering, Graduate School of Engineering, and records the doctoral degree information.
Mechanical weathering of soft rock
The University of Tokyo Geotechnical Engineering Laboratory lists the thesis: Laboratory reproduction and microscopic observation of mechanical weathering process of soft rock.
Selected Research
Research connecting material behaviour, water, environment and measurement.
The publications below are included because they are directly traceable to university, DOI or publisher records. They are examples of the founder’s earlier research background and are not presented as RAUZ research projects.
Soft-rock weathering and mechanical properties — Soils and Foundations
Investigation of mechanical properties of soft rock due to laboratory reproduction of physical weathering process. Xuefeng Nong and Ikuo Towhata. Soils and Foundations, Volume 57, Issue 2, 2017, pp. 267–276. DOI: 10.1016/j.sandf.2016.12.004.
The study reproduced physical weathering in soft rock and examined changes in strength and stiffness. For monitoring practice, the relevant lesson is that the same observed change can have different meaning depending on material condition and the mechanism acting on it.
Soil-water characteristic curves — ASTM Geotechnical Testing Journal
Expedited Soil–Water Characteristic Curve Tests Using Combined Centrifuge and Chilled Mirror Techniques. H. Rahardjo, X. F. Nong, D. T. T. Lee, E. C. Leong and Y. K. Fong. Geotechnical Testing Journal, 41(1), 2018. DOI: 10.1520/GTJ20160275.
The study compared methods for obtaining soil-water characteristic curves over a wide suction range. It connects directly with the importance of measurement method, test duration, water-retention behaviour and interpretation in unsaturated soils.
Organic content, water retention and shrinkage — Environmental Geotechnics
Effects of organic content on soil-water characteristic curve and soil shrinkage. Xue Feng Nong and co-authors. Environmental Geotechnics, 8(7), 442–451. DOI: 10.1680/jenge.19.00028.
The paper examines how organic content affects soil-water retention and shrinkage behaviour. It is relevant to RAUZ’s broader environmental-and-engineering perspective because ground response can be influenced by water, soil composition, vegetation and seasonal environmental conditions.
Tree-root–soil mechanical response — Canadian Journal of Forest Research
Mechanical response of the real tree root architecture under lateral load. Published in the Canadian Journal of Forest Research, 50(7), 595–607. DOI: 10.1139/cjfr-2019-0332.
The work combines field loading and numerical analysis of root–soil systems. It illustrates a recurring engineering theme behind RAUZ: environmental systems often require multiple forms of evidence and a physical interpretation rather than a single threshold or sensor value.
Professional Engineering Experience
Monitoring data makes sense only when the field context is understood.
The official GEOOE founder profile records more than 15 years of experience across geotechnical and environmental engineering, instrumentation and monitoring, soil investigation, infrastructure delivery and quality management in Singapore and Asia. The examples below are presented as the founder’s earlier professional experience—not as RAUZ project contracts.
Infrastructure monitoring environments
The GEOOE founder profile records experience associated with the LTA North-South Corridor, MRT infrastructure environments including CCL, EWL and DTL, Kampong Glam heritage monitoring and HDB residential-development monitoring assignments.
Post-earthquake monitoring and reconstruction
The same first-party record describes experience connected with China Geological Survey Wenchuan post-earthquake monitoring and reconstruction work during 2008–2010.
Post-earthquake building monitoring
It also records Great East Japan Earthquake post-earthquake building-monitoring experience during 2011–2013.
Technical Direction at RAUZ
From physical mechanism to monitoring intelligence.
RAUZ extends the founder’s research-and-field background into a platform model for environmental and engineering monitoring. The operating idea is deliberately simple: measurements are evidence, not conclusions. Data should be checked, compared and placed in physical context before it is used to support a decision.
Data trust first
Check identity, units, timestamps, baseline, completeness, repeatability, drift and anomalies before interpreting apparent change.
Cross-source evidence
Where suitable information exists, compare sensors, survey, InSAR, environmental observations and project chronology rather than relying on one data stream.
Physical context
Interpretation should reflect geology, groundwater, construction activity, climate or environmental conditions and the known limits of each measurement method.
Traceable decisions
Separate observed facts, processed data, engineering interpretation, uncertainty and recommended follow-up so later reviewers can reconstruct the reasoning.
Engineering Principles
The founder’s role is to turn expertise into a repeatable system—not to make every answer depend on one person.
RAUZ’s long-term value depends on whether sound monitoring practice can be made traceable and repeatable across projects, datasets and regions. The founder’s technical role therefore extends beyond individual review: it is to define the reasoning structure, quality controls and product direction that allow a wider platform and team to work consistently.
- Define the engineering or environmental question before selecting an analysis.
- Check whether data is credible before interpreting movement, change or exceedance.
- Use trend and rate together with absolute magnitude.
- Compare independent evidence where it is technically meaningful.
- Keep geology, groundwater, climate and project events visible in interpretation.
- Separate observed facts from engineering judgement.
- State uncertainty, missing information and alternative explanations.
- Keep baselines, corrections, exclusions and review decisions traceable.
- Use automation and AI to support screening and analysis—not to hide responsibility.
- Keep consequential conclusions subject to appropriate engineering review.
Verified Sources
Claims on this page should be checkable.
RAUZ uses institutional, publisher and first-party company records for the founder information presented here. The links below are provided so clients, partners and researchers can verify the underlying record directly.
Frequently Asked Questions
About the founder and RAUZ’s technical direction.
What is Dr. Xuefeng (Jason) Nong’s academic background?
Why is the founder’s research relevant to RAUZ?
Is earlier infrastructure experience presented as RAUZ project experience?
Does RAUZ depend on proprietary field instruments?
What role does AI play in the founder’s technical direction?
Can clients or partners discuss technical development directly with the founder?
Technical Collaboration
Start with the evidence and the question you need answered.
RAUZ welcomes discussions with asset owners, consultants, contractors, monitoring specialists, researchers and technology partners working with environmental, geotechnical, structural or remote-sensing data. A useful first conversation explains the project or asset, what is already being measured, what has changed and which technical decision the evidence needs to support.
Monitoring interpretation
Discuss unexplained movement, conflicting datasets, trigger events, recurring monitoring review or a monitoring programme that needs a clearer engineering interpretation.
Technical collaboration
Explore research, data-analysis, environmental monitoring, geotechnical interpretation or monitoring-method development where the technical question is clearly defined.
Platform & data integration
Discuss compatible data workflows, remote sensing, monitoring analytics, QA/QC, reporting automation or other integrations that strengthen the path from measurement to decision.