Advancing Physical AI and AIoT Through Multidisciplinary Research

Meet the researchers contributing to Physical AI and AIoT research across various specialized research programs at Aperture Physical AI Research Labs.

Our Research Team

Charles Krishna, PhD

Research Areas

Equipment Health and Quality

Digital Twins and Simulation

Knowledge Learning and Deployment

Equipment Health and Quality

  • Machine learning-based structural condition assessment and infrastructure health monitoring
  • AI-driven defect identification and quality prediction in civil and structural systems
  • Predictive maintenance and data-driven performance assessment of physical infrastructure

Digital Twins and Simulation

  • AI-enabled digital twins for civil infrastructure and structural engineering systems
  • Machine learning-based structural performance modeling and simulation analysis
  • Data-driven simulation and predictive modeling for intelligent infrastructure monitoring

Knowledge Learning and Deployment

  • Generative AI and LLM/SLM applications for engineering knowledge systems
  • Machine learning workflows for intelligent engineering data processing and analysis
  • AI-driven knowledge extraction and predictive analytics for Physical AI and AIoT applications

Roselyn Soni, PhD

Research Areas

Identification and Sensing

AI Decisions and Control

Robotics and Distributed Intelligence

Equipment Health and Quality

  • Machine learning-based structural condition assessment and infrastructure health monitoring
  • AI-driven defect identification and quality prediction in civil and structural systems
  • Predictive maintenance and data-driven performance assessment of physical infrastructure

Digital Twins and Simulation

  • AI-enabled digital twins for civil infrastructure and structural engineering systems
  • Machine learning-based structural performance modeling and simulation analysis
  • Data-driven simulation and predictive modeling for intelligent infrastructure monitoring

Knowledge Learning and Deployment

  • Generative AI and LLM/SLM applications for engineering knowledge systems
  • Machine learning workflows for intelligent engineering data processing and analysis
  • AI-driven knowledge extraction and predictive analytics for Physical AI and AIoT applications

Molly Roy, PhD

Research Areas

Identification and Sensing

Equipment Health and Quality

Identification and Sensing

  • AI-assisted identification of infectious diseases through molecular and immunological biomarker analysis
  • Intelligent biosensing and IoT-enabled approaches for dengue detection and immune response monitoring
  • Data-driven biomedical diagnostics and antibody response analysis for disease identification

Equipment Health and Quality

  • AI-driven evaluation of antimicrobial properties and wound-healing performance of bioactive nanofiber materials
  • Data-based assessment of cytotoxicity, drug release, and biomedical material performance
  • Intelligent monitoring and quality assessment of advanced wound-care materials and biomedical systems

Research Leadership

Frank Gao, PhD

Research Areas

Identification and Sensing

AI Decisions and Control

Assurance Oversight and Connectivity

Digital Twins and Simulation

Equipment Health and Quality

Robotics and Distributed Intelligence

Security and Trusted Industrial AI

Knowledge Learning and Deployment

The researchers listed above are members of Aperture Physical AI Research Labs and contribute to assigned Portfolio Companies of Aperture Venture Studio, with offices in the San Francisco Bay Area & Greater Toronto Area, focusing on serving customers from the USA and Canada.

Aperture Physical AI Research Labs, co-founded by Aperture Venture Studio, GAO Tek Inc., and GAO RFID Inc., conducts research and development on physical AI and AIoT technologies.

Aperture Venture Studio has developed 64 portfolio companies, based on physical AI and IoT technologies under 11 industries: Automotive, Aerospace & Defense, Semiconductors & Electronics, Chemicals & Pharmaceuticals, Primary Metals, Food, Liquid & Environmental, Energy & Utilities, Mining & Resources, Construction, Industrial Logistics & Supply Chain, and Industrial Transportation.

For investment, partnership, sales, joining our team, and other inquiries about such portfolio companies, please contact management@apertureventurestudio.com.

Our Research Programs

The research team conducts Physical AI and AIoT research across eight specialized programs at Aperture Physical AI Research Labs.

Explore the following research programs to learn more about their respective research areas and activities: