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Engineering Preprint PDF DOI

An Asynchronous Delta Modulator for Spike Encoding in Event-Driven Brain-Machine Interface

Kaushik Lakshmiramanan, Vineeta Nair, Ching-Yi Lin, Sheng-Yu Peng, Sahil Shah · 2026

This paper presents the design and implementation of an asynchronous delta modulator as a spike encoder for event-driven neural recording in a 65nm CMOS process. The proposed neuromorphic front-end co…

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Engineering Preprint PDF DOI

LOKI: a 0.266 pJ/SOP Digital SNN Accelerator with Multi-Cycle Clock-Gated SRAM in 22nm

Rick Luiken, Lorenzo Pes, Manil Dev Gomony, Sander Stuijk · 2025

Bio-inspired sensors like Dynamic Vision Sensors (DVS) and silicon cochleas are often combined with Spiking Neural Networks (SNNs), enabling efficient, event-driven processing similar to biological se…

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Engineering Preprint PDF DOI

A 0.62 $\mu$W/sensor 82 fps Time-to-Digital Impedance Measurement IC with Unified Excitation/Readout Front-end for Large-Scale Piezo-Resistive Sensor Array

Jiayang Li, Qingyu Zhang, Sohmyung Ha, Andreas Demosthenous, Dai Jiang, Yu Wu · 2025

This paper presents a fast impedance measurement IC for large-scale piezo-resistive sensor array. It features a unified differential time-to-digital demodulation architecture that readout impedance di…

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Engineering Preprint PDF DOI

A Cloud-Edge Framework for Energy-Efficient Event-Driven Control: An Integration of Online Supervised Learning, Spiking Neural Networks and Local Plasticity Rules

Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad · 2024

This paper presents a novel cloud-edge framework for addressing computational and energy constraints in complex control systems. Our approach centers around a learning-based controller using Spiking N…

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Engineering Preprint PDF DOI

Evaluation of a Non-Coherent Ultra-Wideband Transceiver for Micropower Sensor Nodes

Jonah Imfeld, Silvano Cortesi, Philipp Mayer, Michele Magno · 2023

Spatial and contextual awareness has the potential to revolutionize sensor nodes, enabling spatially augmented data collection and location-based services. With its high bandwidth, superior energy eff…

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Engineering Preprint PDF DOI

Augmenting endometriosis analysis from ultrasound data with deep learning

Adrian Balica, Jennifer Dai, Kayla Piiwaa, Xiao Qi, Ashlee N. Green, Nancy Phillips, Susan Egan, Ilker Hacihaliloglu · 2023

Endometriosis is a non-malignant disorder that affects 176 million women globally. Diagnostic delays result in severe dysmenorrhea, dyspareunia, chronic pelvic pain, and infertility. Therefore, there …

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Engineering Preprint PDF DOI

Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines

Tommaso Polonelli, Hanna Muller, Weikang Kong, Raphael Fischer, Luca Benini, Michele Magno · 2022

This paper presents a low-power, self-sustainable, and modular wireless sensor node for aerodynamic and acoustic measurements on wind turbines and other industrial structures. It includes 40 high-accu…

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Engineering Preprint PDF DOI

SOUL: An Energy-Efficient Unsupervised Online Learning Seizure Detection Classifier

Adelson Chua, Michael I. Jordan, Rikky Muller · 2021

Implantable devices that record neural activity and detect seizures have been adopted to issue warnings or trigger neurostimulation to suppress epileptic seizures. Typical seizure detection systems re…

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Engineering Preprint PDF DOI

Massive Machine Type Communication Pilot-Hopping Sequence Detection Architectures Based on Non-Negative Least Squares for Grant-Free Random Access

Narges Mohammadi Sarband, Ema Becirovic, Mattias Krysander, Erik G. Larsson, Oscar Gustafsson · 2020

User activity detection in grant-free random access massive machine type communication (mMTC) using pilot-hopping sequences can be formulated as solving a non-negative least squares (NNLS) problem. In…

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Engineering Preprint PDF DOI

Small-brain neural networks rapidly solve inverse problems with vortex Fourier encoders

Baurzhan Muminov, Luat T. Vuong · 2020

We introduce a vortex phase transform with a lenslet-array to accompany shallow, dense, ``small-brain'' neural networks for high-speed and low-light imaging. Our single-shot ptychographic approach exp…

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Engineering Preprint PDF DOI

Hardware Implementation of Neural Self-Interference Cancellation

Yann Kurzo, Andreas Toftegaard Kristensen, Andreas Burg, Alexios Balatsoukas-Stimming · 2020

In-band full-duplex systems can transmit and receive information simultaneously on the same frequency band. However, due to the strong self-interference caused by the transmitter to its own receiver, …

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Engineering Preprint PDF DOI

UW-MARL: Multi-Agent Reinforcement Learning for Underwater Adaptive Sampling using Autonomous Vehicles

Mehdi Rahmati, Mohammad Nadeem, Vidyasagar Sadhu, Dario Pompili · 2019

Near-real-time water-quality monitoring in uncertain environments such as rivers, lakes, and water reservoirs of different variables is critical to protect the aquatic life and to prevent further prop…

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