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Are you ready to revolutionize your EO/IR simulation capabilities?  Join us for an exclusive webinar exploring the cutting-edge integration of multimodal remote sensing data and human thermal modeling within MuSES — the premier simulation environment for realistic battlefield and security scenarios within the infrared (IR) spectrum.

Successful human detection and recognition in complex environments demands more than just data — it requires diverse, dynamic, and realistic training sets. This webinar will reveal how incorporating variations in clothing, body pose, time of day, weather, sensor perspectives, and background scenes can enhance the robustness of AI and machine learning models in EO/IR applications.  Leverage our toolchain to create more realistic and dynamic simulations involving human subjects within MuSES.

What You’ll Learn:

• Realistic Environmental Modeling: Accurately simulate battlefield conditions, including solar loading, atmospheric effects, and terrain interactions, seamlessly integrating various remote sensing data sources into your MuSES simulations
• Advanced Human Thermal Modeling: Simulate thermoregulating humans with varied poses and clothing ensembles to reflect real-world operational conditions
• Automatic Target Detection/Recognition: Investigate the ability to detect and recognize embedded targets in cluttered scenes and analyze the impact of adjusting key variables on performance
• Multimodal Dataset Generation: Discover innovative techniques to combine multiple sensor wavebands into composite false-color images, boosting alternative training strategies and AI resilience

Who Should Attend:

This webinar series is ideal for defense engineers, researchers, data scientists, image analysts, and program managers involved in:

• Intelligence, surveillance, target acquisition, and reconnaissance (ISTAR) efforts
• Automatic target recognition (ATR) development and evaluation
• Soldier vulnerability and mission planning
• Automated security applications

Presenters:

Scott Gibbs is a Senior Engineer at ThermoAnalytics, Inc., where he leads the Electro-Optical/Infrared (EO/IR) Engineering Team and oversees the development of advanced thermal and signature prediction capabilities. With over 20 years of experience in the defense industry, Scott specializes in EO/IR signature modeling, field test validation, and synthetic scene generation for applications including AI/ML and human detection. He has developed and validated thermal and IR models for a wide range of military vehicles and environments, contributed to camouflage effectiveness studies, and was a primary researcher in developing a novel 50th percentile female physiology description used in segmental human thermoregulation modeling. Scott holds a B.S. in Mechanical Engineering from Michigan State University and has been with ThermoAnalytics since 2014.

Audrey Levanen is a Thermal/CFD Engineer at ThermoAnalytics, Inc., where she supports defense-focused thermal and infrared modeling, synthetic data generation for AI/ML applications, and human comfort simulation projects. She has developed custom Python tools for automating image annotation and analyzing thermal comfort results, helping streamline workflows for both simulation and data science teams. Audrey joined ThermoAnalytics full-time in 2023 after interning with the company and earning her B.S. in Mechanical Engineering from Michigan Technological University.