Future Horizons in Analog and Mixed-Signal Systems: Devices, Circuits and Architectures
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 20
Special Issue Editors
Interests: analog; RF and mixed-signal integrated circuits; neuromorphic computing; HW security
Interests: robotics; embedded systems; analog and digital signal processing; neuromorphic engineering
Interests: power management IC design; analog and mixed-signal IC design; wireless power transfer; biomedical instrumentation; biosignal processing
Special Issue Information
Dear Colleagues,
Analog and mixed-signal (AMS) integrated circuits remain fundamental to the advancement of modern electronic systems, especially as emerging applications demand more intelligent, efficient, and adaptive hardware. From energy-constrained edge devices and bio-integrated sensing systems to brain-inspired computing engines, AMS technologies are being redefined across diverse aspects—from devices and circuits to architectures and systems. This Special Issue aims to capture emerging directions and foundational advances that are shaping the future of AMS technologies.
We invite original research articles and comprehensive reviews that present innovative circuit design techniques, architectures, calibration strategies, and power-efficient methodologies. In addition, we seek contributions that integrate developments in novel devices and memory technologies, introducing new paradigms in analog and mixed-signal computing and sensing.
The scope of this Special Issue includes, but is not limited to, the following topics:
- Analog and mixed-signal circuits for neuromorphic and brain-inspired computing;
- Neuromorphic and AMS processing for robotics and intelligent edge systems;
- Transmitter (TX)/receiver (RX) or front-end architectures for implantable and wearable biomedical devices;
- RF circuits and wireless communication systems;
- Design methodologies addressing scalability, variability, and reliability;
- Efficient power management architectures, including integrated AC–DC/DC–DC converters, low-dropout regulators (LDOs), bandgap references (BGRs), and current/voltage sensors;
- Emerging memory technologies (e.g., RRAM, FeFET) for AMS processing;
- In-memory and near-memory analog computing architectures;
- Device–circuit–architecture co-design methodologies for AMS applications;
- Cross-disciplinary approaches to AMS design, leveraging advances in materials and systems integration.
This Special Issue of Electronics aims to provide a timely and impactful collection of studies that reflect the cutting edge of analog and mixed-signal research. We hope that it will serve as a platform for academic and industry researchers to exchange new ideas, highlight challenges, and chart future directions in the field.
We look forward to receiving your submissions.
Dr. Tejasvi Das
Dr. Scott Koziol
Dr. Sayan Sarkar
Guest Editors
Manuscript Submission Information
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Keywords
- neuromorphic HW
- biological neural network
- brain-inspired computing
- robotics
- power management
- analog and mixed-signal (AMS) IC design
- RF design, transceivers
- mmWave design
- low-power analog design
- data converters
- wearable electronics
- bioelectronics
- sensor interfaces
- energy harvesting
- biomedical circuits
- DC-DC
- AC-DC
- regulators
- memory technologies
- RRAM
- memristors
- compute-in-memory
- ferroelectric FET
- co-design
- system integration
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