Research and Engineering

Informaton's work falls into seven technical domains. They differ in subject matter, but they share one way of working: treat the problem as a system, build the software it needs, and verify the result.

Connecting theme

Systems engineering

Systems engineering is the connecting theme. Sleep recordings, seawater sensors, video timestamps and transaction records are different kinds of data, but each problem required the same steps: define requirements, integrate instruments and software, and verify outputs against known references. Domain F.

Domain A

Biomedical signal processing and computational research

Overnight sleep recordings and other physiological data are long, multichannel and noisy. Research teams need reliable ways to detect events, characterize spectral content, prepare large datasets for analysis and turn signals into measures that can be compared across studies.

Methods

Spectral and time-frequency analysis of EEG
Event detection in polysomnography, including leg movements
Machine-learning classification of physiological recordings
Wavelet analysis of heart rate variability
Dataset preparation, harmonization and quality control

Representative activities

Narcolepsy classification software and computational methods
Large-scale sleep research involving multiple research teams, including work associated with Jazz Pharmaceuticals
EEG spectral analysis and signal-processing investigations
Diabetes mellitus-related EEG investigations
Periodic limb movement analysis and research-data preparation associated with the University of Wisconsin
Algorithms for physiological time-series and biomedical data analysis

The emphasis is computational: algorithms, software and data infrastructure. Informaton does not provide clinical services.

A participant asleep in a dim sleep-study room, wearing EEG electrodes connected to a bedside amplifier — Overnight polysomnography

Two monitors showing multichannel EEG traces and a spectrogram — Multichannel EEG and spectral analysis

Domain B

Medical algorithms and neonatal feeding analysis

Feeding readiness and sucking behavior in premature infants are assessed from small, rhythmic physiological signals. Turning those measurements into consistent quantitative descriptions requires careful signal processing and evaluation against the research question.

Methods

Physiological measurement and sensor signal conditioning
Detection and characterization of rhythmic sucking patterns
Algorithm development and experimental evaluation

Representative activities

Development of computational methods for evaluating neonatal sucking and feeding behavior in premature infants, associated with nFant

This work concerned measurement and algorithms. Informaton does not provide medical care.

An instrumented feeding bottle connected to a data-acquisition box and a laptop showing pressure waveforms — Feeding-pressure measurement on a laboratory bench

Domain C

Oceanographic instrumentation and environmental measurement

Measurements of seawater salinity, carbon dioxide-related conditions and ocean chemistry depend on instruments that must be controlled, tested and logged reliably. These measurements are relevant to coral reef health and wider environmental research.

Methods

Instrument control and test software
Instrumentation integration and data acquisition
Time-series logging and measurement support

Representative activities

Development of experimental test and control software supporting oceanographic research associated with a Stanford laboratory
Software supporting measurement of seawater salinity, carbon dioxide-related conditions and ocean chemistry

Informaton's role was software development, instrumentation integration, test and control systems, and measurement support. The vessels, instruments and laboratory were not Informaton's.

A small research vessel with seawater sampling equipment on its aft deck, in clear water near a reef

Laptop and monitor showing time-series plots beside a flow-through seawater sensor manifold aboard a vessel — Shipboard measurement software and sensors

Domain D

Digital forensics, cybersecurity and data exploitation

Digital records are fragmented across devices, formats and systems. Questions about what happened, and when, depend on extracting that data intact, processing it at scale and documenting each step.

Methods

Data extraction, recovery and processing
Integrity analysis of records and artifacts
Computational and AI-assisted analysis of large record sets
Development of specialized forensic software

Representative activities

AI-assisted and computational data exploitation
Technical support for private investigations
Digital evidence analysis
Cybersecurity-oriented technical investigations
Data extraction, processing and integrity analysis
Research and development of specialized forensic software

Technical analysis only. Informaton does not hold or imply any law-enforcement authority.

A workstation with a write-blocker attached to a hard drive and monitors showing record structures and timelines — Digital evidence examination

Domain E

Digital evidence integrity and video verification

When video recordings are used in legal proceedings, their chronology and consistency matter. Timestamps from different devices and records can disagree, drift or be altered, and those differences need to be found and explained.

Methods

Timestamp extraction and analysis
Synchronization of multiple recordings and records
Traceable, repeatable verification procedures

Representative activities

Development of software to audit timestamps and associated data records, to help evaluate the consistency, chronology and integrity of video recordings used in legal proceedings

No claim is made that any tool has received judicial certification or has been used in court.

A monitor showing four camera views above parallel timeline tracks aligned by a marker — Multi-source video timeline comparison

Domain F · connecting theme

Systems engineering and specialized software development

Research problems become engineering problems once data must be acquired, processed and trusted. Each of the other domains required requirements to be pinned down, components to be integrated and results to be verified before they could be used.

Methods and engineering activities

Systems architecture and requirements analysis
Specialized research software
System integration and interface development
Experimental design and technical evaluation
Verification and validation
Test automation and instrumentation control
Data processing and analytical infrastructure
Prototype development and feasibility studies
Model development and evaluation

An oscilloscope, power supply and optical test fixture wired to a laptop running control software — Test bench under software control

Domain G

Financial technology and transaction-system evaluation

Period: [CONFIRM: year this work began, if it should be shown]

Electronic payment and financial systems are large, distributed software systems. Their behavior, interoperability and reconciliation can be studied with the same methods used elsewhere: measurement, modeling and verification.

Methods

Analysis of transaction processing and data reconciliation
Study of payment network behavior
Review of financial software architecture and platform interoperability

Representative activities

Electronic financial transaction systems
Payment network behavior
Financial software architecture
Transaction processing and data reconciliation
Platform interoperability
Technical and operational characteristics of financial services

Independent investigation. No proprietary products, commercial relationships or regulatory approvals are implied.

A monitor showing a directed network graph above a bar chart of volumes over time — Transaction-flow network