Pushing the Boundaries of Computational Electromagnetics – Application to Antenna Designs, Placement, Co-site Interference Simulations and Digital Twins

#STEM #academic #academia #engineering #remote #sensing #antennas #propagation #electronics #directed #energy #radar #communications #sensors #AI #ML #optics #digital #twin #CEM #EMC #EMI
Share

Simulation-driven design changed product development forever, enabling engineers to reduce design, iterations, and prototype testing. Increasing scientific computing power expanded the opportunity to apply analysis, making large design studies possible within the timing constraints of a program. Now engineering adoption of Artificial Intelligence (AI) and Machine Learning (ML) is transforming product development again. Combination of physics-based simulation-driven design with machine learning, leveraging the latest in high-performance cloud computing, enables industry to explore more and identify high-potential designs – while rejecting low-potential concepts – even earlier in development cycles as well as help create “Digital Twins”. With the increase in connected devices and platforms (such as 5G, 6G, C-V2X, ADAS etc.), advanced computational electromagnetic (CEM) tools have become part of the product design cycle. Now numerical simulations can be performed to evaluate the effects of antenna design, placement, radiation hazard, EMC/EMI, etc. for wide ranging industry applications. Interfacing with propagation tools, system level design can be accomplished that includes operating environment of the devices for device connectivity and throughput. Advent of cloud computing and AI/ML, and convergence with CEM simulations made connected, smart device design faster with reduced time from concept to the market propelling productivity and innovation. This talk will focus on advanced CEM simulation tools that incorporate numerical methods, such as Method of Moments (MoM), Multilevel Fast Multipole Method (MLFMM), Finite Element Method (FEM), Finite Difference Time Domain (FDTD), Physical Optics (PO), Ray Lunching Geometrical Optics (RL-GO), and Uniform Theory of Diffraction (UTD). As the complexity of connected devices increases each day, designers are taking advantage of AI/ML to generate trained models for their physical antenna designs and perform fast and intelligent optimization on these trained models. Using the trained models, different optimization algorithms and goals can be run quickly, in seconds, that can be utilized for comparison studies, stochastic analysis for tolerance studies etc. Use of cloud computing combined with AI/ML, many design iterations can be performed in a short period and reducing the time to market. This talk will also focus on future trends in cloud computing for physics-based simulations and the emerging topics such as Digital Twins.



  Date and Time

  Location

  Hosts

  Registration



  • Date: 12 Apr 2024
  • Time: 03:00 PM to 04:00 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
  • Add_To_Calendar_icon Add Event to Calendar
If you are not a robot, please complete the ReCAPTCHA to display virtual attendance info.
  • Contact Event Hosts
  • timothy.wolfe@afit.edu

    tswolfe@ieee.org

  • Co-sponsored by Wright-Patt Multi-Intelligence Development Consortium (WPMDC), The DOD & DOE Communities
  • Starts 05 March 2024 10:12 AM
  • Ends 12 April 2024 04:00 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
  • No Admission Charge


  Speakers

C.J. Reddy of Altar

Topic:

Pushing the Boundaries of Computational Electromagnetics – Application to Antenna Designs, Placement, Co-site Interferen

Simulation-driven design changed product development forever, enabling engineers to reduce design, iterations, and prototype testing. Increasing scientific computing power expanded the opportunity to apply analysis, making large design studies possible within the timing constraints of a program. Now engineering adoption of Artificial Intelligence (AI) and Machine Learning (ML) is transforming product development again. Combination of physics-based simulation-driven design with machine learning, leveraging the latest in high-performance cloud computing, enables industry to explore more and identify high-potential designs – while rejecting low-potential concepts – even earlier in development cycles as well as help create “Digital Twins”. With the increase in connected devices and platforms (such as 5G, 6G, C-V2X, ADAS etc.), advanced computational electromagnetic (CEM) tools have become part of the product design cycle. Now numerical simulations can be performed to evaluate the effects of antenna design, placement, radiation hazard, EMC/EMI, etc. for wide ranging industry applications. Interfacing with propagation tools, system level design can be accomplished that includes operating environment of the devices for device connectivity and throughput. Advent of cloud computing and AI/ML, and convergence with CEM simulations made connected, smart device design faster with reduced time from concept to the market propelling productivity and innovation. This talk will focus on advanced CEM simulation tools that incorporate numerical methods, such as Method of Moments (MoM), Multilevel Fast Multipole Method (MLFMM), Finite Element Method (FEM), Finite Difference Time Domain (FDTD), Physical Optics (PO), Ray Lunching Geometrical Optics (RL-GO), and Uniform Theory of Diffraction (UTD). As the complexity of connected devices increases each day, designers are taking advantage of AI/ML to generate trained models for their physical antenna designs and perform fast and intelligent optimization on these trained models. Using the trained models, different optimization algorithms and goals can be run quickly, in seconds, that can be utilized for comparison studies, stochastic analysis for tolerance studies etc. Use of cloud computing combined with AI/ML, many design iterations can be performed in a short period and reducing the time to market. This talk will also focus on future trends in cloud computing for physics-based simulations and the emerging topics such as Digital Twins.

Biography:

Dr. C.J. Reddy is Vice President, Business Development-Electromagnetics for Americas at Altar. Dr. Reddy received his B.Tech. degree in Electronics and Communication Engineering (ECE) from Regional Engineering College, Warangal, India, M.Tech. and Ph.D. degrees in Electrical Engineering from Indian Institute of Technology, Kharagpur, India. He worked as Scientific Office at SAMEER (Society for Microwave Electronics Engineering and Research), Mumbai during 1987-1991. Dr. Reddy was awarded the Natural Sciences and Engineering Research Council (NSERC) of Canada Visiting Fellowship to work at Communications Research Center in Ottawa during 1991-1993 and was awarded the US National Research Council (NRC) Resident Research Associateship in 1993 to work at NASA Langley Research Center in Hampton, Virginia. While conducting research at NASA Langley, he developed various computational codes for electromagnetics and received a Certificate of Recognition from NASA for development of a hybrid Finite Element Method/Method of Moments/Geometrical Theory of Diffraction code for cavity backed aperture antenna analysis. He also worked as Research Professor at Hampton University from 1995 to 2000. Dr. Reddy was the President of Applied EM, Inc (2000-2017) where he led several Phase I and Phase II SBIR projects for the DoD and NASA. He was also the President of EM Software & Systems (USA) Inc (2002-2014) and led the marketing of the EM Simulation tool, Feko in North America. EM Software & Systems (USA) Inc was acquired by Altair in 2014.  Dr. Reddy is a Fellow of IEEE, Fellow of ACES (Applied Computational Electromagnetics Society) and a Fellow of AMTA (Antenna Measurement Techniques Association). Dr. Reddy is a co-author of the book, “Antenna Analysis and Design Using FEKO Electromagnetic Simulation Software,” published in June 2014 by SciTech Publishing (now part of IET). Dr. Reddy was awarded Distinguished Alumni Professional Achievement Award by his alma mater, National Institute of Technology (NIT), Warangal, India in 2015. Dr. Reddy is elected as a member of AMTA Board of Directors for a three-year term starting Jan 2020 and served as the Technical Coordinator for AMTA 2020 and AMTA 2021 Conferences as well as the President in 2022 and served as the Past President of AMTA in 2023. Dr. Reddy is also serving on the ACES Board of Directors (2023-2026) and is currently the Vice President of ACES. Dr. Reddy served as an Associate Editor for IEEE Open Journal of Antennas of Propagation and IEEE Transactions on Antennas and Propagation. He also serves as the Chair of IEEE Antennas and Propagation Society (AP-S) Young Professionals Committee and got elected to AP-S AdCom to serve a three-year term 2023-2025. Dr. Reddy served on the IEEE Fellows Committee for the terms 2020-2021 and 2022-2023. Dr. Reddy is inducted into IEEE Heritage Circle by the IEEE Foundation for establishing the "IEEE AP-S CJ Reddy Travel Grant for Graduate Students."





Agenda

Simulation-driven design changed product development forever, enabling engineers to reduce design, iterations, and prototype testing. Increasing scientific computing power expanded the opportunity to apply analysis, making large design studies possible within the timing constraints of a program. Now engineering adoption of Artificial Intelligence (AI) and Machine Learning (ML) is transforming product development again. Combination of physics-based simulation-driven design with machine learning, leveraging the latest in high-performance cloud computing, enables industry to explore more and identify high-potential designs – while rejecting low-potential concepts – even earlier in development cycles as well as help create “Digital Twins”. With the increase in connected devices and platforms (such as 5G, 6G, C-V2X, ADAS etc.), advanced computational electromagnetic (CEM) tools have become part of the product design cycle. Now numerical simulations can be performed to evaluate the effects of antenna design, placement, radiation hazard, EMC/EMI, etc. for wide ranging industry applications. Interfacing with propagation tools, system level design can be accomplished that includes operating environment of the devices for device connectivity and throughput. Advent of cloud computing and AI/ML, and convergence with CEM simulations made connected, smart device design faster with reduced time from concept to the market propelling productivity and innovation. This talk will focus on advanced CEM simulation tools that incorporate numerical methods, such as Method of Moments (MoM), Multilevel Fast Multipole Method (MLFMM), Finite Element Method (FEM), Finite Difference Time Domain (FDTD), Physical Optics (PO), Ray Lunching Geometrical Optics (RL-GO), and Uniform Theory of Diffraction (UTD). As the complexity of connected devices increases each day, designers are taking advantage of AI/ML to generate trained models for their physical antenna designs and perform fast and intelligent optimization on these trained models. Using the trained models, different optimization algorithms and goals can be run quickly, in seconds, that can be utilized for comparison studies, stochastic analysis for tolerance studies etc. Use of cloud computing combined with AI/ML, many design iterations can be performed in a short period and reducing the time to market. This talk will also focus on future trends in cloud computing for physics-based simulations and the emerging topics such as Digital Twins.



Please pass the word & invite others.

-----------------------