Symposium Topics
The Committee’s Proposed Priority Areas
- Advanced Packaging EMC and SIPI — chiplets, 2.5D/3D integration, co-packaged copper and optics
- AI/ML Applications to EMC and SIPI Problems
- High-Speed SerDes, Die-to-Die, and Die-to-HBM Interconnects
- Power Delivery and Integrity for Data Center and AI Infrastructure
- Automotive and E-Mobility EMC
- EMC for Aerospace, Defense, and Space
Topics of Interest
The IEEE EMC Society’s Technical and Special Committees encompass most but not all of the possible topics of interest. These Committees are responsible for sponsoring Symposium content and reviewing papers within their scope. The Committees, their scopes, and their primary topics of interest are listed below:
TC-1 EMC Management
- Personal & Laboratory Accreditation
- EMC Education & Awareness
- Legal Issues
TC-2 EMC Measurements
- Techniques
- Test Instrumentation & Facilities
- Standards and Regulations
- Measurement Uncertainty
TC-3 EMC Environment
- Signal Environment
- Atmospheric & Manmade Noise
- Characterization
TC-4 EM Interference Control
- Shielding
- Gaskets
- Cables
- Connectors
- Grounding & PCB Layout
TC-5 High Power Electromagnetics
- ESD & Transients
- EMP
- IEMI & Lightning
- Geomagnetic Storm EMC
TC-6 Spectrum Engineering
- Characterization and Modeling
- Design
- Adaptive Interference Mitigation
TC-7 Electrical System and Power Electronics EMC
- Power EMC
- Conducted Emissions and Immunity
- Power Conversion
- Transportation & Electrical Vehicles
- Grid
TC-8 Aeronautics and Space EMC
- Aircraft
- Atmospheric Environment
- Drones
- Spacecraft
- Missiles
TC-9 Computational Electromagnetics
- Modeling & Simulation
- Multi-Physics Techniques
- Tools
- Applications
TC-10 Signal and Power Integrity
- Interconnects
- Modeling & Characterization
- Crosstalk
- Jitter
- Noise
TC-11 Nanotechnology & Advanced Materials
- Nanomaterials & Nanostructures
- Smart Materials
TC-12 EMC Wireless Technologies
- EMC Planning/Testing/Specifications
- Wireless Coexistence
SC-3 Machine Learning and Artificial Intelligence in EMC and SIPI
- Deep Neural Networks
- Support Vector Machines
- Gaussian Process Regression
- Bayesian Optimization
