This paper presents a novel design for a reconfigurable CDC as a multiplexed sensor fusion that converts three analog signals into digital output bits with different resolutions. The proposed reconfigurable CDC design uses the SAR technique that intr...
Sorting networks are of prime importance as circuits, with applications in sorting small data chunks, big data analytics, permuting packets, and system interconnects. Finding optimal sorting networks is a highly complex problem, and knowledge on opti...
Power converters based on gallium nitride (GaN) are progressing swiftly owing to their exceptional efficiency and tiny dimensions, boosted by high power density and fast switching capabilities. Nevertheless, these benefits are accompanied by consider...
Neuromorphic computing, an interdisciplinary field combining neuroscience and computer science, aims to create efficient, bio-inspired systems. Different from von Neumann architectures, neuromorphic systems integrate memory and processing units to en...
Semiconductor technologies are susceptible to radiation effects. The particle incidence in susceptible areas of an integrated circuit (IC) can generate physical interactions capable of producing errors. This paper predicts the IC cross sections for S...
This work presents an advanced electro-physical model for hydrogenated amorphous silicon (a-Si:H) Junction Field Effect Transistors (JFETs) to enable the design of devices with energy-efficient analog interface building blocks for Lab-on-Chip (LoC) s...
In this study, we present the design and analysis of a stacked inverter-based millimeter-wave (mmWave) power amplifier (PA) in 90 nm CMOS-targeting wideband Q-band operation. The PA employs two PMOS and two NMOS devices in a fully stacked inverter to...
Test time per chip plays an essential role in manufacturing tests. Keeping a low number of test patterns becomes one of the prime objectives in concurrence with achieving the desired fault coverage. Unfortunately, finding an optimum set is an NP-hard...
This paper presents the design of a 140 GHz vector-sum phase shifter in a 28 nm CMOS process. Two variable-gain amplifiers—Gilbert cell and current-steering amplifiers—are investigated and compared. The Gilbert cell-based phase shifter co...
This paper proposes a novel fault-tolerant routing method without creating faulty regions for 3D mesh Network-on-Chips (NoCs). Most conventional methods create faulty regions containing faulty nodes and route packets around them to reach the destinat...
Silicon-Based Physical Unclonable Functions (PUFs) exploit inherent manufacturing variations to produce a unique, random, and ideally unclonable secret key. As electronic devices are decommissioned and sent for End of Life (EOL) recycling, the encryp...
Cyber physical systems (CPSs) increasingly depend on complex hardware IP cores to perform critical functions. However, triggered hardware Trojans’ stealthy, malicious modifications activated under rare conditions pose significant threats to the...
This work presents a wideband variable gain low-noise amplifier (VGA-LNA) specifically engineered for medical systems operating in the C frequency band, which require the substantial amplification of low-intensity signals. The proposed design integra...
Schmitt Triggers are essential building blocks in noise-resilient systems and are useful in managing switching behavior in low-power designs. Yet, as CMOS technologies scale down, their designs become increasingly challenging. This paper presents a c...
Every element of our contemporary lives has changed as a result of the widespread use of computing infrastructure and information technology in daily life. Less focus has been placed on the hardware components that underpin the computing revolution,...
Quantum-dot Cellular Automata (QCA) technology has emerged as a promising approach for constructing nanoscale digital circuits, offering notable advantages such as minimal power consumption, rapid processing speeds, and highly compact layouts. Tradit...
This position paper extends the author’s keynote address from the 2024 IEEE European Solid-State Electronics Research Conference, offering a perspective on effective strategies for the advancement of analog and mixed-signal (AMS) integrated cir...
Microwave-driven quantum logic gates in trapped-ion systems offer a scalable and laser-free alternative to optical control, with the potential for robust integration into surface-electrode trap architectures. In this work, we present a systematic des...
This work presents the design and simulation of a time-interleaved successive approximation register (SAR) analog-to-digital converter (ADC) implemented in GlobalFoundries’ 22 nm Fully Depleted Silicon-on-Insulator (FD-SOI) CMOS process. Motiva...
Single Event Transients (SETs) in clock-distribution networks are a major source of soft errors in synchronous systems. We present a practical framework that assesses SET risk early in the design cycle, before layout and parasitics, using a Vulnerabi...
Memristor crossbar-based neural network systems offer high throughput with low energy consumption. A key advantage of on-chip training in these systems is their ability to mitigate the effects of device variability and faults. This paper presents an...
Artificial intelligence is redefining the computing landscape. Chiplets and heterogeneous integration have become the key strategies for current and next-generation processors. In the wake of Moore’s law slowing down, system integration through...
Bias Temperature Instability (BTI)-induced aging of transistors is a serious concern in modern electronic circuits, yet its effects on the operation of mixed-signal circuits have not been extensively studied. In this work, initially we analyze how BT...
In recent years, many electronic device industries have shown interest in using artificial intelligence (AI) to quickly estimate package warpage. Machine learning is one of the AI techniques which will give an express prediction on package warpage wi...
Drawing inspiration from biological brains’ energy-efficient information-processing mechanisms, photonic integrated circuits (PICs) have facilitated the development of ultrafast artificial neural networks. This in turn is envisaged to offer pot...
Nowadays, Graphical Processor Units (GPUs) are a great technology to implement Artificial Intelligence (AI) processes; however, a challenge arises when the inclusion of a GPU is not feasible due to the cost, power consumption, or the size of the hard...
The fast-maturing photonic integration technology is calling for a versatile platform that supports both active and passive functions as well as high scalability through component miniaturization. Indium phosphide (InP) has long been recognized for i...
This paper deals with a standard cell-based analog-in-concept pW-power building block as a comparator and a wake-up oscillator. Both topologies, traditionally conceived as an analog building block made by a custom process and supply voltage-dependent...
A multifunctional circuit with high-pass and low-pass negative group delays can be achieved by simply changing the values of the components in the circuit, without changing the circuit structure. While achieving negative group delay, the circuit also...
A new control system implemented with a single-stage DC-DC controller to power an LED headlamp for automotive applications is presented in this work. Daytime running light (DRL), low beam (LB), high beam (HB) and adaptive driving beam (ADB) are typic...
On-chip optical accelerometers can be a promising alternative to capacitive, piezo-resistive, and piezo-electric accelerometers in some applications due to their immunity to electromagnetic interference and high sensitivity, which allow for robust op...
Fully differential amplifier circuits are well suited for instrumentation front ends and signal-conditioning applications. They offer high common-mode rejection ratios (CMRRs) regardless of the passive component tolerances but remain sensitive to imb...
This paper extends the quasi-load insensitive (QLI) Class-E Doherty power amplifier (PA) design methodology to address Doherty PA combiners with complex load impedance trajectories. Additionally, the QLI operation is analyzed for generalized class-E...
This paper presents an FPGA-based configurable drive waveform generation system for industrial inkjet printheads, targeting the need for real-time adaptability in printing across heterogeneous materials. The system adopts a three-array waveform descr...
This paper presents NeuroAdaptiveNet, an FPGA-based neural network framework that dynamically self-adjusts its architectural configurations in real time to maximize performance across diverse datasets. The core innovation is a Dynamic Classifier Sele...
This work presents the design of a system of a highly flexible pseudorandom number generator system (PRNG) incorporating both conventional and neuro-generators. The system integrates four internal generators with different conditions to produce new o...
This paper presents a novel fully integrated radio frequency (RF) rectifier tailored for a wide power dynamic range (PDR) with multiband adaptability to efficiently convert AC RF power into DC power. The proposed rectifier utilizes the strength of in...
This paper presents the design analysis of a low-power wideband single-ended CMOS low-noise amplifier (LNA). The proposed topology is based on a modified current- reuse circuit, in which two-stage common-source (CS) amplifiers consume the same DC cur...
This paper presents a comprehensive review of GaAs HBT-based Doherty power amplifiers (DPAs) targeting 5G New Radio (NR) handset applications. Focusing on the critical challenges of linearity enhancement, back-off efficiency improvement, bandwidth ex...
Modern computer applications have become highly data-intensive, giving rise to an increase in data traffic between the processor and memory units. Computing-in-Memory (CiM) has shown great promise as a solution to this aptly named von Neumann bottlen...
This paper presents the design and implementation of a linear, stable, low-power and PVT insensitive floating active resistor, which is realized using TSMC 40 nm CMOS process technology. By incorporating the automatic tuning circuit, this work has ac...
The TDM Test Scheduler and TAM Optimization Toolkit is a novel, integrated, and user-friendly solution designed for engineers, researchers, and instructors working in the field of manufacturing tests. It effectively supports test planning for multico...
This work presents a cost-effective optical frequency comb generator (CEOFCG) solution for generating multiple, equally spaced carriers in wavelength-division-multiplexing coherent optical fiber communication systems (WDM-COFCS). It enables the repla...
The rapid growth of the Internet of Things (IoT) has significantly expanded the deployment of resource-constrained devices, introducing new security and privacy challenges. To address these concerns, the National Institute of Standards and Technology...
This paper proposes novel two fault-tolerant routing methods for a 3D mesh network-on-chip (NoC). The existing method proposed by Boppana et al. combines two routing methods, minimal fully adaptive routing and fault-tolerant routing, for faulty regio...
With the increasing demand for efficient deep learning models in resource-constrained environments, Binary Neural Networks (BNNs) have emerged as a promising solution due to their ability to significantly reduce computational complexity while maintai...
Radiation effects on electronic devices represent a major concern in applications for harsh environments, such as aerospace and nuclear facilities. This article presents a review of fundamental aspects of radiation effects on semiconductors, with a p...
In this work, the simulation of deoxidation–oxidation of oxygen vacancies (VOs) in an oxide matrix with embedded conductive nanocrystals (c-NCs) is carried out for the development of bipolar resistive switching memories (BRSMs). We have employe...
This article summarizes the current development status of nanoimprint lithography (NIL) technology and its application prospects in multiple industries. Nanoimprint lithography technology has significant advantages, such as low cost, high resolution,...
The rapid advancement of artificial intelligence (AI) technologies has significantly increased the demand for high-performance computational hardware. Memristor-based compute-in-memory (CIM) technology, also known as resistive random-access memory (R...
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