Topics for
TekSummit - R & D for AI, Advanced Test & Measurement,
Hosted by GAO Research Inc.

Introduction

Advancements in AI and precision instrumentation are redefining the landscape of test and measurement. From quantum calibration to terahertz signal integrity, these technologies ensure compliance, elevate performance, and foster innovation in industries demanding the highest accuracy—spanning aerospace, photonics, semiconductors, and national metrology systems.

1. Frontiers in Quantum Metrology and Fundamental Constants

This session examines how quantum effects and precision measurement of fundamental physical constants are transforming global standards. Attendees will gain insight into how quantum metrology underpins next-generation calibration frameworks and measurement traceability across national and industrial labs.

Key Subtopics

  • Quantum electrical metrology (Josephson junctions, quantum Hall effect)
  • Redefinition of SI units using Planck constant, Boltzmann constant
  • Atom interferometry and optical lattice clocks
  • Single-electron transport and quantum current standards
  • Quantum voltage and resistance references
  • Quantum-enhanced uncertainty analysis
  • Fundamental physical constants in material science and precision engineering
  • Standardization frameworks (BIPM, NIST, NMIs)

Applications

  • National metrology laboratories and international standardization
  • Semiconductor process calibration
  • High-precision aerospace instrumentation
  • Time and frequency distribution networks

Tools & Techniques

  • Quantum voltmeters and resistance bridges
  • Cryogenic current comparators
  • Optical lattice and ion clocks
  • Frequency combs and atomic beam systems

Challenges & Solutions

  • Challenge: Achieving measurement traceability at the quantum scale
    Solution: Adopt quantum-referenced devices traceable to SI units
  • Challenge: Complex calibration of quantum systems
    Solution: Use AI for real-time quantum error correction and predictive stability
  • Challenge: Limited access to national quantum standards
    Solution: Collaborate through interlaboratory comparisons and shared calibration services

Learning Objectives

  • Understand quantum-based definitions of SI units
  • Evaluate how fundamental constants support modern calibration
  • Explore instrumentation aligned with quantum standards
  • Apply quantum metrology to industrial and laboratory-scale measurements

2. Ultra-Precision and Nanometrology Techniques

Focused on ultra-fine dimensional and surface measurements, this session details emerging techniques in nanometrology essential for semiconductor fabrication, advanced materials, and micro-electromechanical systems (MEMS). The session emphasizes instrumentation and AI-enhanced methodologies that push precision to the sub-nanometer level.

Key Subtopics

  • Atomic force microscopy (AFM), scanning tunneling microscopy (STM)
  • White light interferometry and scatterometry
  • Laser interferometric displacement sensing
  • Precision surface roughness and defect characterization
  • Sub-nanometre calibration standards and uncertainty quantification
  • AI-assisted defect detection and classification
  • Thermal drift compensation and vibration isolation
  • High-resolution coordinate metrology

Applications

  • Semiconductor lithography and metrology
  • MEMS/NEMS device fabrication
  • Biomedical nano-devices
  • Precision optics and lens testing

Tools & Techniques

  • AFM, STM, SEM-based metrology systems
  • Precision laser interferometers
  • AI algorithms for image-based surface analysis

Challenges & Solutions

  • Challenge: Surface variability under nanoscale imaging
    Solution: Use environmental control and in-situ calibration methods
  • Challenge: Drift and vibration affecting nano measurements
    Solution: Implement active damping and real-time compensation feedback
  • Challenge: High volume of surface defect data
    Solution: Apply machine learning to automate feature classification

Learning Objectives

  • Deploy nanometrology instruments with traceable accuracy
  • Implement AI models for nanoscale defect analysis
  • Control environmental factors impacting ultra-precision tests
  • Build robust nano-characterization workflows for production and R&D

3. High-Frequency, mmWave, and THz Measurements

This session covers advanced test and measurement strategies for high-frequency signal domains including millimetre-wave (mmWave) and terahertz (THz) systems. With the rapid growth of 5G/6G, radar, and ultra-broadband communications, these capabilities are crucial for validating RF designs and ensuring spectrum integrity.

Key Subtopics

  • Vector network analysis at mmWave/THz bands
  • On-wafer probing and de-embedding at high frequencies
  • Signal integrity in ultra-wideband circuits
  • Time-domain reflectometry (TDR) for interconnect testing
  • Calibration and verification of THz components
  • Over-the-air (OTA) testing and phased array measurements
  • Electromagnetic compatibility (EMC) in high-frequency systems
  • AI-assisted waveform analysis and signal classification

Applications

  • 5G/6G base station and handset development
  • Automotive radar systems
  • Satellite communication payload validation
  • Secure military-grade THz communications

Tools & Techniques

  • mmWave VNAs and real-time spectrum analysers
  • THz time-domain spectroscopy systems
  • High-speed oscilloscopes with deep memory
  • OTA test chambers and planar near-field scanners

Challenges & Solutions

  • Challenge: Calibration accuracy at mmWave and THz frequencies
    Solution: Use automatic calibration modules and de-embedding algorithms
  • Challenge: RF signal loss and parasitics in test setups
    Solution: Optimize interconnects and probe station integrity
  • Challenge: Analysing complex, wideband signal behaviour
    Solution: Use AI for spectral feature extraction and anomaly detection

Learning Objectives

  • Execute reliable high-frequency tests from GHz to THz
  • Improve RF test accuracy with advanced calibration techniques
  • Interpret mmWave signals using modern test instrumentation
  • Integrate AI tools for real-time waveform and EMC analysis

4. Optical and Photonic Metrology

This session explores R&D in optical and photonic measurement systems, enabling ultra-accurate calibration and testing for Fiber optics, laser systems, photodetectors, and photonic integrated circuits. Precision optical testing is fundamental to advancing communications, sensing, and quantum information science.

Key Subtopics

  • Optical power and wavelength calibration
  • Interferometric optical testing and Fiber inspection
  • Photonic chip characterization (modulators, detectors, splitters)
  • Laser linewidth and phase noise measurement
  • Spectral responsivity and irradiance testing
  • High-speed optical T&M for coherent communication
  • Optical time-domain reflectometry (OTDR)
  • Quantum photonic measurements (entanglement, coherence)

Applications

  • Optical telecom systems (DWDM, coherent optics)
  • Photonic computing and signal processing
  • Medical laser calibration
  • Quantum sensing and cryptography platforms

Tools & Techniques

  • Optical spectrum analyzers, tunable lasers
  • High-speed photodiodes and sampling oscilloscopes
  • Optical interferometers and autocorrelators
  • AI-driven defect inspection systems for fiber and waveguides

Challenges & Solutions

  • Challenge: Precise phase and polarization alignment in optics testing
    Solution: Use polarization-maintaining setups and real-time feedback control
  • Challenge: Characterizing sub-picosecond timing in photonic circuits
    Solution: Deploy ultra-fast sampling scopes and correlation techniques
  • Challenge: Testing complex integrated photonic structures
    Solution: Combine simulation with AI-enhanced inverse design validation

Learning Objectives

  • Apply modern optical metrology tools for photonic component validation
  • Ensure wavelength and power traceability using calibrated systems
  • Test high-speed, coherent optical systems under real-world conditions
  • Integrate AI for defect detection in optical manufacturing and QA

5. RF and Microwave Metrology

This session focuses on precision testing techniques for RF and microwave components used in communication, aerospace, and defense systems. With the rise of 5G/6G, satellite constellations, and ultra-low-noise radar, accurate RF metrology is vital for signal fidelity and regulatory compliance.

Key Subtopics

  • S-parameter measurement and calibration
  • Power and impedance measurements at GHz frequencies
  • Phase noise and frequency stability analysis
  • On-wafer and coaxial VNA measurements
  • Electromagnetic interference (EMI) and EMC testing
  • High-power RF device testing
  • Traceability to national RF standards (e.g., NIST)
  • AI-based anomaly detection in RF spectrum

Applications

  • 5G/6G communication hardware testing
  • Aerospace radar and avionics certification
  • RF component development for satellite systems
  • Wireless medical device validation

Tools & Techniques

  • Vector Network Analyzers (VNA)
  • Spectrum analyzers with real-time capability
  • RF power sensors and directional couplers
  • Signal generators and synthesizers
  • AI-driven signal pattern recognition tools

Challenges & Solutions

  • Challenge: De-embedding complex test fixtures at high frequencies
    Solution: Use multi-tier calibration and AI-aided correction algorithms
  • Challenge: Drift in signal generators or power sensors
    Solution: Regular automated calibration against traceable standards
  • Challenge: Identifying intermittent RF interference
    Solution: Deploy machine learning models on time-series spectrum data

Learning Objectives

  • Understand best practices in RF calibration and traceability
  • Apply AI techniques to enhance RF signal analysis
  • Select appropriate test instrumentation for complex RF systems
  • Design reproducible RF test setups for regulatory compliance

6. Electrical and Electronic Metrology

This session explores precise electrical measurement methods for voltage, current, resistance, and capacitance—critical for electronics R&D, power systems, and calibration services. It emphasizes accuracy, traceability, and AI-enhanced fault analysis in circuit evaluation and standards compliance.

Key Subtopics

  • DC and AC voltage/current metrology
  • Capacitance and inductance measurement
  • Resistance standards and bridges
  • Transient and harmonics analysis
  • Circuit simulation and model-based testing
  • AI-based diagnostics for PCB fault isolation
  • Traceability in automated test equipment (ATE)
  • Power quality testing and compliance

Applications

  • Power electronics and battery management systems
  • Consumer electronics production QA
  • Calibration labs and traceability chains
  • Smart grid and industrial power monitoring

Tools & Techniques

  • Precision digital multimeters (DMMs)
  • Electrical calibrators and source-measure units (SMUs)
  • Bridge circuits (Wheatstone, Kelvin, etc.)
  • Oscilloscopes and logic analyzers
  • AI tools for circuit fault pattern recognition

Challenges & Solutions

  • Challenge: Environmental factors affecting electrical measurements
    Solution: Implement thermal stabilization and shielding systems
  • Challenge: Traceability gaps in ATE platforms
    Solution: Integrate calibrated instruments and audit workflows
  • Challenge: Difficulty locating micro faults in high-density PCBs
    Solution: Use AI-based PCB image diagnostics and signature analysis

Learning Objectives

  • Gain proficiency in precision electrical measurements
  • Understand traceability frameworks for electronic metrology
  • Leverage AI for fault detection in complex circuits
  • Build compliant test platforms for diverse electrical devices

7. Mechanical Metrology and Structural Testing

This session covers measurement techniques for force, mass, displacement, strain, and vibration. With mechanical integrity being a critical requirement in construction, transportation, and manufacturing, R&D in mechanical metrology ensures performance reliability, structural safety, and lifecycle prediction.

Key Subtopics

  • Load, force, torque, and pressure measurement systems
  • Strain gauges and extensometers
  • Structural health monitoring (SHM) using sensor networks
  • Modal analysis and dynamic response testing
  • Fatigue testing of mechanical components
  • AI-based vibration pattern recognition
  • 3D scanning and coordinate metrology systems
  • Standards for traceable mechanical calibration

Applications

  • Aerospace and automotive structural testing
  • Civil infrastructure health monitoring
  • Heavy equipment and robotics
  • Material testing and certification

Tools & Techniques

  • Load cells and torque transducers
  • Vibration sensors and accelerometers
  • DAQs and real-time strain logging platforms
  • Laser Doppler vibrometers and 3D CMMs
  • AI-based SHM data interpretation platforms

Challenges & Solutions

  • Challenge: Complex data fusion from multiple structural sensors
    Solution: Use AI algorithms for sensor correlation and anomaly detection
  • Challenge: Signal noise in dynamic mechanical tests
    Solution: Apply advanced filtering and adaptive averaging techniques
  • Challenge: Difficulty predicting fatigue failures in composites
    Solution: Integrate AI-driven life modelling with SHM data

Learning Objectives

  • Master modern structural and mechanical test instrumentation
  • Apply AI to SHM data for predictive maintenance
  • Perform standards-based calibration of mechanical sensors
  • Improve dynamic testing for reliability engineering

8. Thermal and Thermophysical Measurements

Focused on the precise characterization of thermal behaviour, this session addresses the metrology of temperature, heat flow, thermal conductivity, and thermophysical properties across industrial and scientific applications. Thermal testing is crucial for electronics reliability, materials R&D, and energy efficiency.

Key Subtopics

  • Contact and non-contact temperature measurement (IR, thermocouples)
  • Thermal conductivity and diffusivity analysis
  • Phase change detection and calorimetry
  • Thermal expansion and strain
  • Thermophysical modeling and material characterization
  • AI-enhanced thermal imaging diagnostics
  • Traceability in thermal metrology systems
  • Calibration of temperature sensors and IR cameras

Applications

  • Electronics cooling and thermal management
  • Energy systems and battery thermal analysis
  • Process industries (glass, metal, polymers)
  • Aerospace and automotive thermal qualification

Tools & Techniques

  • Differential scanning calorimeters (DSC)
  • Thermocouples, RTDs, and infrared thermography
  • Thermal conductivity meters
  • Finite Element Analysis (FEA) and simulation tools
  • AI platforms for real-time thermal image interpretation

Challenges & Solutions

  • Challenge: Inaccurate readings due to emissivity variation
    Solution: Use calibrated IR systems with material-specific settings
  • Challenge: Rapid temperature fluctuation in dynamic tests
    Solution: Use high-speed sensors with real-time processing
  • Challenge: Limited thermal modeling accuracy
    Solution: Integrate AI with multi-physics simulation models

Learning Objectives

  • Perform precise, traceable thermal and thermophysical measurements
  • Utilize simulation and AI tools for thermal behavior modeling
  • Calibrate and deploy thermal sensors in diverse environments
  • Optimize thermal testing for reliability and performance validation

9. Chemical and Gas Metrology

This session explores the precise measurement of chemical compositions and gas concentrations, essential for environmental monitoring, industrial safety, and medical diagnostics. The integration of AI enables real-time analysis and decision-making in complex sensing environments.

Key Subtopics

  • Trace gas detection and quantification
  • Calibration of chemical sensors and analysers
  • Spectroscopy (FTIR, NDIR, UV-Vis) and mass spectrometry
  • Volatile Organic Compound (VOC) testing
  • Environmental metrology standards
  • AI-based signal processing for gas chromatography
  • Gas sensor networks and IoT integration
  • Uncertainty analysis in chemical measurement

Applications

  • Air quality monitoring and emissions compliance
  • Process control in chemical manufacturing
  • Breath-based medical diagnostics
  • Hazard detection in industrial safety systems

Tools & Techniques

  • Gas chromatographs and FTIR spectrometers
  • Portable gas analyzers and PID detectors
  • Reference gas standards and calibration stations
  • AI software for spectral pattern classification
  • Wireless sensor networks for distributed monitoring

Challenges & Solutions

  • Challenge: Cross-sensitivity between similar compounds
    Solution: Use multi-sensor fusion with AI-based signal discrimination
  • Challenge: Drift in low-cost chemical sensors
    Solution: Implement automated recalibration using traceable references
  • Challenge: Real-time analysis under variable conditions
    Solution: Integrate edge AI for adaptive sensing and correction

Learning Objectives

  • Understand calibration protocols for chemical/gas sensors
  • Apply AI to improve detection accuracy and analysis speed
  • Design traceable sensing systems for regulated environments
  • Assess uncertainty in complex chemical measurements

10. Metrology for Smart Manufacturing and Industry 4.0

This session focuses on test and measurement technologies that enable automation, predictive quality control, and digital integration in advanced manufacturing systems. As smart factories evolve, measurement systems must be intelligent, connected, and adaptive.

Key Subtopics

  • In-line and real-time quality inspection systems
  • Metrology integration with digital twins and MES
  • Sensor fusion and edge analytics for shop floor monitoring
  • Cyber-physical systems for process control
  • OPC UA and industrial data exchange standards
  • AI-driven defect detection and classification
  • Robotics calibration and tool path verification
  • Statistical process control (SPC) with uncertainty models

Applications

  • Automotive and aerospace manufacturing lines
  • Semiconductor fabrication and inspection
  • Precision machining and CNC quality control
  • Additive manufacturing and part validation

Tools & Techniques

  • Machine vision systems and structured light scanners
  • Laser interferometry and photogrammetry systems
  • Industrial IoT (IIoT) platforms with metrology integration
  • AI-powered analytics for yield and defect monitoring
  • Closed-loop control systems with sensor feedback

Challenges & Solutions

  • Challenge: Data silos between inspection and production systems
    Solution: Use standardized interfaces (OPC UA, MQTT) for integration
  • Challenge: Latency in real-time defect detection
    Solution: Deploy edge AI modules with local processing capability
  • Challenge: Inconsistent calibration across distributed sensors
    Solution: Establish synchronized traceable calibration schedules

Learning Objectives

    • Leverage metrology for digital manufacturing transformation
    • Implement AI for automated inspection and quality control
    • Understand how uncertainty impacts real-time decision-making
    • Integrate measurement systems with smart factory workflows

11. AI, Data Science, and Uncertainty in Metrology

This session focuses on test and measurement technologies that enable automation, predictive quality control, and digital integration in advanced manufacturing systems. As smart factories evolve, measurement systems must be intelligent, connected, and adaptive.

Key Subtopics

  • In-line and real-time quality inspection systems
  • Metrology integration with digital twins and MES
  • Sensor fusion and edge analytics for shop floor monitoring
  • Cyber-physical systems for process control
  • OPC UA and industrial data exchange standards
  • AI-driven defect detection and classification
  • Robotics calibration and tool path verification
  • Statistical process control (SPC) with uncertainty models

Applications

  • Automotive and aerospace manufacturing lines
  • Semiconductor fabrication and inspection
  • Precision machining and CNC quality control
  • Additive manufacturing and part validation

Tools & Techniques

  • Machine vision systems and structured light scanners
  • Laser interferometry and photogrammetry systems
  • Industrial IoT (IIoT) platforms with metrology integration
  • AI-powered analytics for yield and defect monitoring
  • Closed-loop control systems with sensor feedback

Challenges & Solutions

  • Challenge: Data silos between inspection and production systems
    Solution: Use standardized interfaces (OPC UA, MQTT) for integration
  • Challenge: Latency in real-time defect detection
    Solution: Deploy edge AI modules with local processing capability
  • Challenge: Inconsistent calibration across distributed sensors
    Solution: Establish synchronized traceable calibration schedules

Learning Objectives

    • Leverage metrology for digital manufacturing transformation
    • Implement AI for automated inspection and quality control
    • Understand how uncertainty impacts real-time decision-making
    • Integrate measurement systems with smart factory workflows

12. Time, Frequency, and Synchronization Metrology

This session focuses on the measurement and calibration of time and frequency—a foundation for navigation, communications, and scientific systems. Precision synchronization enables ultra-low-latency networks, reliable control systems, and secure time-stamping.

Key Subtopics

  • Frequency stability and jitter analysis
  • Time transfer techniques (NTP, PTP, GNSS)
  • Clock synchronization for distributed systems
  • Calibration of oscillators, rubidium, and atomic clocks
  • Time interval counters and phase comparators
  • AI for anomaly detection in time series drift
  • Time traceability and secure timestamping systems
  • Quantum timekeeping and optical clocks

Applications

  • 5G/6G telecom and base station synchronization
  • Financial transaction time-stamping
  • Industrial control systems and robotics
  • Scientific instrumentation and astronomical observatories

Tools & Techniques

  • High-precision time interval analyzers
  • GNSS-disciplined oscillators (GPSDO)
  • IEEE 1588 Precision Time Protocol (PTP) testing tools
  • Network time servers and synchronization monitoring software
  • Atomic reference clocks and disciplined frequency counters

Challenges & Solutions

  • Challenge: Network-induced latency in time transfer
    Solution: Use hardware timestamping and boundary clocks (PTP)
  • Challenge: Clock drift in remote or mobile systems
    Solution: Employ GNSS-corrected holdover oscillators
  • Challenge: Measuring ultra-short intervals at high resolution
    Solution: Use time-stretching and averaging techniques with calibration

Learning Objectives

    • Master time synchronization technologies for mission-critical systems
    • Calibrate and analyze oscillator stability and accuracy
    • Implement PTP and GNSS solutions in distributed networks
    • Ensure traceability in time-sensitive applications

13. Environmental and Climate Measurement Systems

This session addresses the growing demand for accurate, traceable, and automated environmental measurements to support climate research, regulatory compliance, and sustainability initiatives. Emphasis is placed on long-term monitoring, sensor calibration, and AI-based data validation.

Key Subtopics

  • Air quality and greenhouse gas measurement protocols
  • Sensor networks for environmental monitoring
  • Satellite and remote sensing validation
  • AI-based anomaly detection in climate datasets
  • Traceability in meteorological measurements
  • Standardization of climate observation networks
  • IoT integration for environmental field instruments
  • Uncertainty modeling in large-scale measurements

Applications

  • National climate monitoring and forecasting centers
  • Industrial emissions compliance
  • Environmental impact assessments
  • Smart cities and infrastructure planning

Tools & Techniques

  • FTIR gas analyzers and particulate sensors
  • LiDAR, RADAR, and hyperspectral imaging
  • Environmental data loggers and telemetry systems
  • AI tools for geospatial data analysis and forecasting
  • Calibration stations and reference field labs

Challenges & Solutions

  • Challenge: Sensor drift in long-term deployments
    Solution: Periodic calibration with field-deployable standards
  • Challenge: Interpreting large, noisy environmental datasets
    Solution: Use of AI and data fusion for pattern recognition
  • Challenge: Low comparability across sensing platforms
    Solution: Adoption of international environmental measurement protocols

Learning Objectives

    • Design traceable environmental sensing systems
    • Apply AI to enhance climate data reliability
    • Understand regulatory requirements for emissions testing
    • Integrate remote and in-situ data sources for modeling

14. Biomedical and Life Science Measurement Innovations

This session explores R&D in precision measurements that support medical diagnostics, biological research, and healthcare device calibration. Innovations in biosensing and AI-based data analysis are transforming clinical decision-making and regulatory validation.

Key Subtopics

  • Non-invasive biosensor calibration and testing
  • Biopotential and physiological signal measurement
  • Medical device compliance and metrological traceability
  • AI-assisted signal processing for diagnostics
  • Optical and molecular biosensing
  • Laboratory automation and traceable assays
  • Wearable medical technologies testing
  • Human factor validation and usability metrics

Applications

  • Clinical diagnostics and point-of-care testing
  • Biomedical R&D and device prototyping
  • Regulatory testing for FDA/CE compliance
  • Remote patient monitoring platforms

Tools & Techniques

  • ECG/EEG/EMG calibration platforms
  • Spectrophotometers and biosignal amplifiers
  • AI models for diagnostic pattern recognition
  • ISO/IEC 17025-based medical test protocols
  • Lab-on-chip and microfluidic measurement systems

Challenges & Solutions

  • Challenge: Inconsistent results across different biosensing platforms
    Solution: Implement standardized calibration protocols and traceable references
  • Challenge: Data overload in multi-signal diagnostics
    Solution: Apply AI filtering and feature extraction techniques
  • Challenge: Measurement artifacts from user variability
    Solution: Integrate human factor engineering in measurement desig

Learning Objectives

    • Understand regulatory testing workflows for medical systems
    • Apply AI to process biomedical test data
    • Calibrate biosensors for high reliability and repeatability
    • Validate diagnostic systems using metrological principles

15. Materials Characterization and Non-Destructive Testing

This session highlights advanced methods for characterizing material properties without damaging components, crucial for aerospace, automotive, civil, and additive manufacturing industries. It covers both traditional NDT techniques and AI-enhanced inspection approaches.

Key Subtopics

  • Ultrasonic testing (UT) and phased array UT
  • Radiographic testing (X-ray, CT)
  • Acoustic emission and thermography
  • AI-assisted defect detection and classification
  • Materials microstructure and hardness mapping
  • Magnetic particle and eddy current inspection
  • In-line NDT for additive manufacturing
  • Digital twin validation using NDT feedback

Applications

  • Aerospace and automotive parts inspection
  • Structural health monitoring of bridges and buildings
  • Quality assurance in metal and composite manufacturing
  • Real-time inspection in 3D printing processes

Tools & Techniques

  • Digital radiography and portable ultrasonic testers
  • AI/ML algorithms for flaw identification
  • Eddy current probes and magnetic field sensors
  • Non-contact thermal cameras for material profiling
  • Simulation tools for NDT signal modeling

Challenges & Solutions

  • Challenge: High false-positive rate in defect detection
    Solution: Integrate AI-driven image recognition for improved accuracy
  • Challenge: Limited accessibility in complex geometries
    Solution: Use flexible or robotic NDT systems
  • Challenge: Variability in operator-based assessments
    Solution: Automate reporting with standardized image analysis tools

Learning Objectives

    • Apply advanced NDT tools for structural and material integrity
    • Integrate AI into defect detection and quantification workflows
    • Calibrate and validate measurement systems for NDT compliance
    • Evaluate new materials using traceable characterization methods

16. Electromagnetic Compatibility (EMC) and High-Voltage Testing

This session addresses EMC testing and high-voltage test practices that ensure safe, interference-free operation of electrical and electronic systems. With the rise of EVs, 5G, and power electronics, advanced metrology is critical to meet stringent regulatory and performance standards.

Key Subtopics

  • EMC emission and immunity testing protocols
  • Radiated and conducted emissions measurement
  • Surge, ESD, and transient immunity evaluation
  • High-voltage insulation and dielectric testing
  • Grounding and shielding effectiveness measurement
  • Pre-compliance testing in design workflows
  • Test chamber calibration and traceability
  • AI-based signal classification for EMC diagnostics

Applications

  • Electric vehicles and battery systems compliance
  • Power grid and HV transmission infrastructure
  • Consumer electronics and embedded systems
  • RF/microwave devices in telecom and defense

Tools & Techniques

  • EMI receivers and spectrum analyzers
  • GTEM cells, anechoic and reverberation chambers
  • Surge and ESD generators
  • High-voltage probes and insulation testers
  • AI tools for noise identification and signature tracking

Challenges & Solutions

  • Challenge: Difficulty predicting EMC issues during design
    Solution: Implement pre-compliance simulations with real-time test feedback
  • Challenge: Variability in test results due to setup configuration
    Solution: Automate test bench configuration and repeatability controls
  • Challenge: Identifying root causes in multi-source interference
    Solution: Use AI-based classification of emission signatures

Learning Objectives

    • Perform EMC and HV tests in accordance with global standards
    • Predict and mitigate EMI issues early in product design
    • Utilize AI to streamline interference diagnostics
    • Ensure traceability and safety in high-voltage test setups

17. Calibration Science, Infrastructure, and Global Comparisons

This session examines the foundational role of calibration science in ensuring metrological traceability, consistency, and interoperability across industries and national borders. It explores the infrastructure supporting global comparisons and standardization of measurement systems, critical to fair trade, innovation, and regulatory alignment.

Key Subtopics

  • Primary and secondary calibration standards
  • Metrological traceability chains
  • International measurement comparisons (CIPM MRA, BIPM KCDB)
  • Uncertainty budgets and error propagation
  • Digital calibration certificates (DCCs)
  • Time and frequency dissemination for traceability
  • Calibration of AI-based sensors and edge devices
  • Metrology infrastructure design and laboratory accreditation
  • ISO/IEC 17025 and related quality management systems

Applications

  • Aerospace and defense manufacturing certification
  • Cross-border industrial trade and regulatory audits
  • High-precision instrumentation calibration (optical, RF, thermal)
  • Research laboratories and standards institutes

Tools & Techniques

  • Calibration benches and metrology-grade instruments
  • Automated calibration management systems
  • Reference materials and artifact standards
  • Environmental chambers for condition-specific calibration
  • Uncertainty evaluation software and modeling tools

Challenges & Solutions

  • Challenge: Lack of harmonization in global calibration methods
    Solution: Participate in international comparisons and adopt CIPM MRA standards
  • Challenge: Limited traceability in emerging sensor types
    Solution: Develop calibration protocols for AI-integrated and MEMS-based systems
  • Challenge: Manual and error-prone calibration recordkeeping
    Solution: Deploy digital calibration certificates with blockchain integration

Learning Objectives

    • Understand traceability requirements and uncertainty modeling
    • Design calibration systems aligned with international standards
    • Use digital tools to manage calibration workflows
    • Evaluate calibration infrastructure for compliance and scalability

18. Legal, Ethical, and Societal Aspects of Metrology

This session addresses the broader implications of measurement systems in legal, ethical, and societal contexts. It emphasizes the critical need for transparency, accountability, and fairness in how measurements are defined, applied, and interpreted—particularly as AI and data systems influence public and industrial decision-making.

Key Subtopics

  • Legal metrology frameworks and global compliance bodies (OIML, WELMEC)
  • Metrological ethics and societal trust
  • Measurements in legal contracts, forensics, and policy decisions
  • Fairness and bias in algorithmic measurements
  • Data privacy in AI-driven measurement systems
  • Responsible innovation in smart metrology
  • Citizen metrology and public engagement
  • Role of metrology in sustainability and SDGs

Applications

  • National measurement institutes and government agencies
  • Legal and compliance teams in regulated industries
  • AI and digital health systems validation
  • Utility and infrastructure billing accuracy

Tools & Techniques

  • Legal metrology test kits and verification procedures
  • Compliance software for OIML-certified systems
  • AI bias auditing tools for measurement algorithms
  • Smart meters and tamper-detection systems
  • Digital rights management in data-centric metrology

Challenges & Solutions

  • Challenge: Unclear legal frameworks for AI-based measurements
    Solution: Align AI applications with evolving legal metrology norms
  • Challenge: Ethical concerns in algorithmic decision-making
    Solution: Conduct transparency audits and explainability assessments
  • Challenge: Public distrust in automated measurement outcomes
    Solution: Implement traceable and auditable metrology systems with public oversight

Learning Objectives

    • Navigate the legal frameworks governing measurements in regulated sectors
    • Address ethical challenges in digital and algorithmic measurement systems
    • Apply traceability principles in public-facing measurement technologies
    • Build societal trust through responsible, transparent metrology practices

Session 1: Frontiers in Quantum Metrology and Fundamental Constants

  • Redefinition and realization of SI base units
  • Quantum Hall resistance and Josephson voltage standards
  • Optical lattice clocks and time-frequency transfer
  • Quantum interferometry and entanglement-based measurements
  • Single-electron and photon-counting instrumentation
  • Fundamental constants: precision determination and stability

Session 2: Ultra-Precision and Nanometrology Techniques

  • Scanning probe microscopy for dimensional metrology
  • Sub-nanometer displacement and position sensing
  • Atomic-scale surface roughness measurements
  • Interferometric and capacitive position metrology
  • Nanoparticle characterization and size distribution
  • Traceable measurements at the nanoscale

Session 3: High-Frequency, mmWave, and THz Measurements

  • Calibration and characterization of mmWave and THz systems
  • Nonlinear and active device modeling and measurement
  • Dielectric characterization at mmWave and THz frequencies
  • 5G/6G and high-bandwidth spectrum analysis
  • Radiometry and THz imaging systems
  • On-wafer and OTA measurement challenges

Session 4: Optical and Photonic Metrology

  • Ultra-stable lasers and frequency comb calibration
  • Free-space and fiber-optic interferometry
  • Photonic integrated circuit test platforms
  • Characterization of light sources and detectors
  • Spectroradiometric and colorimetric measurements
  • Coherence, polarization, and scattering analysis

Session 5: RF and Microwave Metrology

  • Vector network analyzer (VNA) traceability and error models
  • Noise figure and phase noise measurement techniques
  • Power sensors and standards at microwave frequencies
  • Calibration artifacts and load-pull measurements
  • Cross-spectrum and correlation-based techniques
  • Passive and active microwave component characterization

Session 6: Electrical and Electronic Metrology

  • Current, voltage, and resistance calibration techniques
  • Digital multimeter verification and standard resistors
  • Electromagnetic interference and compatibility metrics
  • High-impedance and low-leakage measurement systems
  • Switching artifacts and parasitic suppression in electronics
  • Verification of electronic reference instruments

Session 7: Mechanical Metrology and Structural Testing

  • Dimensional metrology with coordinate measuring machines (CMMs)
  • Angular and linear displacement calibration
  • Surface texture and form deviation evaluation
  • Vibration, modal, and impact response testing
  • Residual stress and mechanical fatigue metrology
  • Robotic-assisted mechanical testing systems

Session 8: Thermal and Thermophysical Measurements

  • Precision thermometry and fixed-point calibration
  • Thermal conductivity and diffusivity testing
  • Temperature mapping in micro/nano devices
  • Cryogenic temperature metrology
  • Heat flux and thermal imaging techniques
  • Blackbody and radiation thermometry development

Session 9: Chemical and Gas Metrology

  • Mass spectrometry and isotope ratio validation
  • Gas standards and primary mixture generation
  • Infrared and Raman spectroscopy for trace gas detection
  • VOC and greenhouse gas metrology
  • Calibration of chemical sensors and analyzers
  • Reference materials and chemical uncertainty analysis

Session 10: Metrology for Smart Manufacturing and Industry 4.0

  • Real-time process control with in-situ metrology
  • Sensor fusion and AI-assisted decision making
  • Closed-loop feedback systems for manufacturing metrology
  • Digital twins and virtual instrumentation platforms
  • Robotic vision-based metrology for additive manufacturing
  • Standards for interoperable metrology in smart factories

Session 11: AI, Data Science, and Uncertainty in Metrology

  • Bayesian and machine learning approaches for uncertainty quantification
  • AI-enhanced test optimization and fault detection
  • Neural networks for signal denoising and prediction
  • Metrological traceability of AI-driven measurement systems
  • Handling of outliers and anomalous data
  • Standards and documentation of data integrity

Session 12: Time, Frequency, and Synchronization Metrology

  • GNSS-based time transfer and integrity testing
  • Ultra-low-jitter clock distribution systems
  • Two-way satellite time and frequency transfer (TWSTFT)
  • Frequency stability metrics (Allan, Hadamard deviations)
  • UTC realization and national timekeeping
  • Time synchronization over networks (PTP, NTP, White Rabbit)

Session 13: Environmental and Climate Measurement Systems

  • Air quality and particulate monitoring standards
  • Climate variable instrumentation: temperature, pressure, humidity
  • Calibration of weather and hydrological sensors
  • Metrology for oceanographic and atmospheric parameters
  • Remote sensing validation (LIDAR, satellite)
  • Traceable CO₂ and methane detection systems

Session 14: Biomedical and Life Science Measurement Innovations

  • Quantitative bio-imaging and fluorescence calibration
  • Biophysical property measurement of tissues and cells
  • Physiological monitoring system accuracy (ECG, SpO₂, BP)
  • Calibration of diagnostic and therapeutic devices
  • Biosensor calibration and stability
  • Measurement standards in genomic and proteomic analysis

Session 15: Materials Characterization and Non-Destructive Testing

  • Microstructure quantification and image analysis
  • Spectroscopic techniques for material identification
  • Fatigue, creep, and fracture mechanics testing
  • Non-destructive testing (ultrasound, X-ray, eddy current)
  • Phase transformation and residual stress monitoring
  • Nano-indentation and tribology for thin films

Session 16: Electromagnetic Compatibility (EMC) and High-Voltage Testing

  • Radiated and conducted emissions testing
  • Shielding effectiveness and field strength measurements
  • Lightning impulse and high-voltage dielectric tests
  • Electric/magnetic field immunity testing
  • High-voltage test equipment and calibration
  • EMC modeling and compliance with CISPR/IEC standards

Session 17: Calibration Science, Infrastructure, and Global Comparisons

  • Development of national and international primary standards
  • Automation in calibration laboratories
  • Remote and robotic calibration methods
  • Measurement intercomparisons and key comparisons (CIPM-MRA)
  • Laboratory accreditation and quality systems (ISO/IEC 17025)
  • Emerging traceability chains for novel quantities

Session 18: Legal, Ethical, and Societal Aspects of Metrology

  • Measurement and traceability in legal metrology
  • Standards harmonization and regulation impact
  • Ethical frameworks for data and measurement reliability
  • Socio-economic impact assessments of metrology R&D
  • Measurement education and workforce development
  • Role of metrology in public safety and policymaking

The R & D for Test & Measurement session series at TekSummit is a must-attend for engineering professionals, metrologists, product developers, and research leaders seeking to stay ahead of the curve in measurement science. Whether you’re advancing quantum-based systems, building nanotechnology platforms, developing RF circuits, or optimizing optical networks, these sessions offer valuable insights, technical rigor, and forward-looking practices.

Reach out to us at Speakers-TekSummit@TheGAOGroup.com or fill out Contact Us to explore speaking, participation, or sponsorship opportunities.

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