A5032036438- Analog and Mixed-Signal Circuit Design
- Radio Frequency Integrated Circuit Design
- Advanced Memory and Neural Computing
- EEG and Brain-Computer Interfaces
- Energy Harvesting in Wireless Networks
- Neuroscience and Neural Engineering
- Physical Unclonable Functions (PUFs) and Hardware Security
- CCD and CMOS Imaging Sensors
- Wireless Power Transfer Systems
- Integrated Circuits and Semiconductor Failure Analysis
- Molecular Communication and Nanonetworks
- Electromagnetic Compatibility and Noise Suppression
- Advanced Sensor and Energy Harvesting Materials
- Quantum-Dot Cellular Automata
- Sensor Technology and Measurement Systems
- Cryptographic Implementations and Security
- Advanced Power Amplifier Design
- Advancements in PLL and VCO Technologies
- Advancements in Semiconductor Devices and Circuit Design
- Wireless Body Area Networks
- Advanced DC-DC Converters
Northeastern University
2018-2024
Intel (United States)
2024
Abstract Ultra-compact wireless implantable medical devices are in great demand for healthcare applications, particular neural recording and stimulation. Current technologies based on miniaturized micro-coils suffer from low power transfer efficiency (PTE) not always compliant with the specific absorption rate imposed by Federal Communications Commission. Moreover, current reliant differential of voltage or across space require direct contact between electrode tissue. Here, we show an...
This paper presents a new technique of radio frequency (RF) signal strength detection with received indicator (RSSI) circuit which can be deployed in an internet-of-things (IoT) network. The proposed RSSI is based on direct conversion RF to digital code indicating the strength. achieved by repeated switching rectifier's output voltage using ultra-low power comparator. A 5-bit programmable feedback used correct inaccuracies. implemented 65-nm CMOS process and consumes 6nW power. It has linear...
This paper presents a temperature compensated RC oscillator (TC-RCO) designed in 130 nm CMOS technology using regular
Advances of machine learning algorithms have led to improvements seizure detection capabilities in monitoring systems based on electroencephalography (EEG). Seizure hardware requires accurate feature extraction, which is conventionally done the digital domain by extracting power different EEG frequency bands over a particular time window. This paper presents an analog counterpart extraction. A received signal strength indicator (RSSI) circuit used for features domain. high-precision RSSI was...
This article presents a design approach for the modeling and simulation of ultralow power (ULP) analog computing machine learning (ML) circuits seizure detection using electroencephalography (EEG) signals in wearable health monitoring applications. In this article, we describe new system technique to associate consumption, noise, linearity, other critical performance parameters with classification accuracy given ML network, which allows realize optimized hardware implementation based on...
Abstract Ultra-compact wireless implantable medical devices (IMDs) are in great demand for healthcare applications, particular neural recording and stimulation. Current technologies based on miniaturized micro-coils suffer from low power transfer efficiency (PTE) not always compliant with the specific absorption rate imposed by Federal Communications Commission, particularly deep brain implantation where field attenuation tissue loss significant. Moreover, current reliant recordings of...
This brief presents an ultra-low power received signal strength indicator (RSSI) amplifier circuit that can be used to detect seizures through feature extraction from electroencephalography (EEG) signals. The RSSI-based method provides a low-power area-efficient solution for analog computing based seizure detection hardware. A 6-stage RSSI was designed in 65nm CMOS technology cover the dynamic range of EEG signals with area <inline-formula> <tex-math notation="LaTeX">${266\mu m \times 531...
This paper presents the design of an ultra-low power subthreshold Gm stage where transconductance is very stable with process, temperature, and voltage variations. technique used to a differential amplifier constant gain second order biquad filter cut off frequency. The achieves small temperature coefficient 48.6 ppm/°C exhibits sigma 75 mdB process. stability 69 only 49 ppm/mV.
This paper presents the design of a low power multiplier cell which multiplies an input voltage with current. The achieves high precision ±0.1% error for wide range both and An approach to increase current is also presented. used perform 2-D discrete convolution on matrix size 3×3 2×2 kernel. outputs are available after 7.5 μs, independent size.
Side channel attacks (SCA) have been shown to be very effective in breaking cryptographic engines. In this paper, we present a new power obfuscation switched capacitor (POSC) DC-DC converter. To first order approximation, it equalizes the charge such that same amount of is drawn from input supply each cycle. We evaluated design by analyzing an Advanced Encryption Standard (AES) unit powered proposed CPA fails after evaluation with 10k traces. Two different topologies circuit are analyzed for...
This paper studies the effects of DC-DC switching converters on RF and analog baseband circuits. Simulations a low-noise amplifier, mixer, lowpass filter have shown that impact supply noise can be kept to small levels by design. For case loads with frequency conversion, boost converter design technique shift out band interest is proposed.
This paper presents an ultra-low power and lower area, sequential physically unclonable function (PUF) circuit for Internet-of-Things (IoT). The proposed PUF is used to generate a 16 bit secret key array uses current-mode based differential cell architecture exploit the inherent device mismatch. design has energy efficiency of 7.5fJ/bit native instability 0.6875%.
This paper presents a high efficiency DC-DC converter architecture with adjustable switching frequency to suppress the baseband noise from power supply for an RF receiver front-end. The system is composed of boost operating in discontinuous conduction mode (DCM), analog frequency-to-voltage (FVC), and digital control loop. To prevent mixing into intermediate (IF) signal band mixer, FVC senses compares it reference frequency. scheme changes if close by increasing bias current regulating...