"Electromagnetic Twins: Physics-Based Digital Twins for Communications and Sensing" webinar

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Special Presentation by Gregory Skidmore and Tarun Chawla (REMCOM, USA)

Hosted by the Future Networks massive MIMO Working Group

Date/Time: Tuesday, 9 September 2025 @ 3 PM EDT

Topic:

Electromagnetic Twins: Physics-Based Digital Twins for Communications and Sensing

Abstract:

Electromagnetic (EM) Twins are a new class of digital twins that embed high-fidelity, physics-based solvers, based on Maxwell’s equations, into the design and optimization of modern RF communication and sensing systems. By integrating with mechanical CAD, PCB layouts, and 3D spatial data, EM Twins enable full-system electromagnetic analysis within realistic environments and production workflows.

In this webinar, REMCOM engineers will demonstrate simulation workflows using tools such as XFdtd, Wireless InSite, highlighting how EM Twins can:

· Simulate outdoor RF propagation using 3D GIS-based urban and rural environments

· Characterize indoor wireless channels with LiDAR measurements for scalable and accurate modeling

· Model human presence and movement using animated body models for RF sensing applications, including health monitoring and occupancy detection

· These physics-informed simulations generate rich, labeled datasets suitable for training AI/ML models—enabling performance-aware chipset design and advancing Physics-Informed AI techniques for wireless sensing and communication systems.

Designed for engineers and researchers working in RF systems and digital twins, this webinar features live demonstrations and practical guidance for integrating EM simulation into next-generation system design and validation workflows.

Speaker:

Gregory Skidmore received the B.S.E.E. degree from the University of Virginia in 1993 and the M.S.E.E. degree from Johns Hopkins University in 1997. He is currently the Director of Wireless at Remcom, State College, PA, USA with over 20 years of experience in US DoD contract management. His current interests include channel modeling, radar, digital signal processing, and hybrid electromagnetic techniques.

Tarun Chawla (Member, IEEE) received the B.S.E.E. degree from The Pennsylvania State University in 2008, and the M.B.A. degree from the University of Memphis in 2019. He is the Director of Business Development at Remcom, State College, PA, USA, with over 16 years of experience in hardware, middleware, and computational physics for electronics. His teams focus on integrating simulation tools for manufacturers in the semiconductor, consumer, automotive, and defense industries, including NASA. He works at the intersection of research and product engineering to support the development of AI-enabled wireless systems.



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  • Contact Event Hosts
  • Craig Polk [c.polk@comsoc.org]

  • Co-sponsored by Future Networks massive MIMO Working Group
  • Starts 04 September 2025 04:00 AM UTC
  • Ends 09 September 2025 08:00 PM UTC
  • Admission fee