Call for Papers
Authors are requested to submit the original manuscript through the CMT portal:
https://cmt3.research.microsoft.com/ENCODE2027
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- 5G/6G
- Wireless communication
- IoT networks
- Massive MIMO
- RF and microwave systems
- Antennas
- Optical communication
- Satellite communication
- Wireless sensor networks
- Cognitive communication
- Next-generation networks
- Embedded processors
- Embedded intelligence
- Edge AI
- TinyML
- FPGA-based embedded systems
- Hardware/software co-design
- Real-time systems
- AI accelerators
- Cyber-physical systems
- Intelligent embedded platforms
- Internet of Things
- Smart sensors
- MEMS/NEMS
- Wearable electronics
- Biomedical systems
- Smart healthcare
- Robotics
- Industrial IoT
- Neuromorphic computing
- In-memory computing
- Quantum technologies
- Emerging memories
- Sustainable electronics
- Energy-efficient systems
- Advanced semiconductor devices,
- Nanoelectronics, emerging materials
- FinFETs
- GAAFETs
- CNTFETs
- GNRFETs
- 2D materials
- FeFETs
- NCFETs
- Emerging memories
- Device modeling
- Simulation
- Reliability
- post-CMOS technologies
- Digital signal processing
- Image and video processing
- Machine learning
- Deep learning
- Computer vision
- Speech and audio processing
- Biomedical signal processing
- Intelligent sensing
- AI-enabled electronics
- Intelligent decision systems
- Digital VLSI
- Analog and mixed-signal circuits
- Low-power IC design
- ASICs
- FPGAs
- SoCs
- NoCs
- AI accelerators
- Reconfigurable architectures
- EDA
- Physical design
- Hardware security
- Emerging circuit architectures
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.