CALL FOR PAPERS

ACEE 2027 conference seeks papers presenting significant and novel research results on emerging electronics engineering and its applications. We especially encourage submissions that present novel experimentation, creative use of electronic technologies, and new insights made possible using analysis. We invite submissions on a wide range of electronics engineering’s topics. The list of topics include, but not limited to:

Download ACEE2027 CFP
Track 1. Microelectronics and Nanoelectronic Devices

• Microelectronics & Nanoelectronic Devices
• Advanced Semiconductor Materials & Devices (SiC, GaN, 2D Materials)
• Power Electronics & Wide-Bandgap Power Devices
• Flexible Electronics and Wearable Electronic Devices
• Gallium Oxide (GaO) Wide-Bandgap Devices
• 2D Material Heterojunction Devices
• Quantum Dot Electronic Devices
• Bio-Inspired Electronic Device Design

Track 2. Integrated Circuit Design and Manufacturing

• VLSI, System-on-a-Chip (SoC), ASIC & Chiplet Design
• Analog, Digital & Mixed-Signal Integrated Circuit Design
• RFIC and Millimeter-Wave Circuits
• AI Accelerator Chip Design
• 3D Integrated Circuit Stacking Design
• Terahertz Integrated Circuit Design
• Low-Power Integrated Circuit Design Technologies
• Design for Manufacturability (DFM) of Integrated Circuits

Track 3. Optoelectronics and Image Sensing Technologies

• Optoelectronic Devices and Silicon Photonics Technologies
• CMOS Image Sensors & Multi-Spectral Imaging
• 3D Imaging and LiDAR
• Medical Imaging and Biomedical Sensing Technologies
• Quantum Dot Image Sensors
• Terahertz Imaging Technologies
• Intelligent Image Sensors (with AI Processing)
• Flexible Optoelectronic Devices and Display Technologies

Track 4. Electromagnetic Theory and Electronic Communication Device Design

• Radio Frequency (RF) Communication Device Design
• Microwave and Millimeter-Wave Communication Devices
• Antenna Design and Electromagnetic Compatibility (EMC)
• Wireless Communication Integrated Circuit Design
• Terahertz Communication Devices and Systems
• Reconfigurable Intelligent Surface (RIS) Communication Devices
• 5G/6G Communication RF Front-End Devices
• Electromagnetic Metamaterial Communication Device Design

Track 5. Medical Electronics Technologies and Devices

• Electronic Systems for Medical Imaging Equipment
• Biomedical Sensor Design
• Portable Medical Electronic Devices
• Implantable Electronic Device Technologies
• AI-Assisted Diagnostic Electronic Systems
• Biodegradable Medical Electronic Devices
• Telemedicine Monitoring Electronic Systems
• Neural Interface Electronic Technologies

Track 6. Embedded Systems and Control Technologies

• Embedded Systems & Real-Time Control
• Robust Control and Adaptive Control
• Modeling, Identification & Process Optimization
• FPGA & Reconfigurable Computing Systems
• Embedded AI Computing Systems
• Edge Computing Embedded Systems
• Automotive Embedded Control Systems
• Embedded System Security Technologies

Track 7. Intelligent Sensing and MEMS Technologies

• MEMS / NEMS Sensors & Micro-Sensing Systems
• Smart Sensors and Multi-Sensor Fusion
• Environmental & Industrial Sensing Technologies
• Energy Harvesting & Low-Power Sensing Systems
• Bio-Inspired MEMS Sensors
• Flexible MEMS Devices and Systems
• Quantum Sensing Technologies
• Sensor Networks and IoT Integration

Track 8. Quantum Electronics and Quantum Computing

• Quantum Computing & Quantum Electronic Devices
• Quantum Sensing Technologies
• Quantum Communication Devices and Systems
• Superconducting Quantum Electronic Devices
• Topological Quantum Devices
• Quantum Dot Quantum Computing
• Quantum-Classical Hybrid Computing Systems
• Quantum Error Correction Technologies

Track 9. Electronic System Security and AI Applications

• Dependable Computing and Computer Security
• AI and Machine Learning Applications in Electronic Engineering
• Neuromorphic (Brain-Inspired) Chips and Computing
• Big Data Analysis for Electronic Engineering
• Hardware Security and Side-Channel Attack Defense
• Generative AI Applications in Electronic Design
• AI-Driven Fault Diagnosis for Electronic Systems
• Federated Learning Applications in Electronic Engineering