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As next-generation wireline and wireless systems are scaled to meet increasing data demands, existing signal processing approaches face significant power and latency challenges. To address these demands, we present CAMEL (Capacitive Analog In-Memory Equalization), a mixed-signal, discrete-time, analog in-memory switched-capacitor finite impulse response (FIR) filter designed in Intel16. Using this filter as a core, we develop a 16-tap antenna-domain I/Q equalizer, with 8-bit accuracy, consuming 90 mW from a 1 V supply, while achieving a data rate of 2 Gbps at a bit error rate (BER) of 10−4 in a realistic channel at 18 dB signal-to-noise ratio (SNR). Mismatch analysis and scaling studies indicate that this design can be extended to 12 bit and 48-tap configurations with linear increase in power, while delivering full digital reconfigurability, and datarates exceeding 5 Gbps with a power efficiency of 9.81 pJ/bit. 

In modern smart grids, accurate and synchronized time signals are essential for effective monitoring, protection, and control. Various time synchronization methods exist, each tailored to specific application needs. Widely adopted solutions, such as GPS, however, are vulnerable to challenges such as signal loss and cyber-attacks, underscoring the need for reliable backup or supplementary solutions. This paper examines the timing requirements across different power grid applications and provides a comprehensive review of available time synchronization mechanisms. Through a comparative analysis of timing methods based on accuracy, flexibility, reliability, and security, this study offers insights to guide the selection of optimal solutions for seamless grid integration. 

Laser based additive manufacturing (AM) methods, that incorporate a high-density laser to sinter, melt, or solidify the desired material, have developed into an ideal technology for the design and fabrication of robust and highly customizable functional devices which aim to address key challenges in the aerospace, biomedical, and defense sectors. Recent advancements in powder bed fusion (PBF) approaches, such as selective laser sintering (SLS) and melting (SLM) have significantly improved the range of printable materials, minimum feature size, and microstructure evolution, endowing precise control over the physical properties of the final printed part. Furthermore, studies on novel photoresist materials and laser scanning strategies used during multiphoton lithography (MPL) approaches indicated that nanoscale spatial resolution could be achieved, allowing for the design of intricate biomedical implants or smooth optical devices. This chapter focuses on an extensive review of current research being conducted on laser-based AM technologies highlighting the current compatible materials and applications of SLS, SLM, and MLP printed functional devices. Future perspectives and notable challenges of the laser-based AM technologies are discussed in detail with the purpose of identifying critical research areas for each methodology.