Publications (49)
Estimating the Power Consumption of Heterogeneous Devices when performing AI Inference
Pedro Machado, Ivica Matic, Francisco de Lemos +2
Modern-day life is driven by electronic devices connected to the internet. The emerging research field of the Internet-of-Things (IoT) has become popular, just as there has been a…
Dynamic Training of Liquid State Machines
Pavithra Koralalage, Ireoluwa Fakeye, Pedro Machado +5
Spiking Neural Networks (SNNs) emerged as a promising solution in the field of Artificial Neural Networks (ANNs), attracting the attention of researchers due to their ability to mi…
Cognitive Edge Device (CED) for Real-Time Environmental Monitoring in Aquatic Ecosystems
Dennis Monari, Farhad Fassihi Tash, Jordan J. Bird +6
Invasive signal crayfish have a detrimental impact on ecosystems. They spread the fungal-type crayfish plague disease (Aphanomyces astaci) that is lethal to the native white clawed…
Dynamical origin of Theia, the last giant impactor on Earth
Duarte Branco, Sean N. Raymond, Pedro Machado
Cosmochemical studies have proposed that Earth accreted roughly 5-10% of its mass from carbonaceous (CC) material, with a large fraction delivered late via its final impactor, Thei…
Enhancing Pollinator Conservation towards Agriculture 4.0: Monitoring of Bees through Object Recognition
Ajay John Alex, Chloe M. Barnes, Pedro Machado +4
In an era of rapid climate change and its adverse effects on food production, technological intervention to monitor pollinator conservation is of paramount importance for environme…
WeedScout: Real-Time Autonomous blackgrass Classification and Mapping using dedicated hardware
Matthew Gazzard, Helen Hicks, Isibor Kennedy Ihianle +3
Blackgrass (Alopecurus myosuroides) is a competitive weed that has wide-ranging impacts on food security by reducing crop yields and increasing cultivation costs. In addition to th…
Strawberry Detection Using a Heterogeneous Multi-Processor Platform
Samuel Brandenburg, Pedro Machado, Nikesh Lama +1
Over the last few years, the number of precision farming projects has increased specifically in harvesting robots and many of which have made continued progress from identifying cr…
Computational models of object motion detectors accelerated using FPGA technology
Pedro Machado
This PhD research introduces three key contributions in the domain of object motion detection: Multi-Hierarchical Spiking Neural Network (MHSNN): A specialized four-layer Spiking N…
Does the Sun have a Dark Disk?
Gustavo F. S. Alves, Susan Gardner, Pedro Machado +1
The Sun is not quite a perfect sphere, and its oblateness, thought to be induced through its rotation, has been measured using optical observations of its radius. Its gravitational…
Real-Time Gesture Recognition with Virtual Glove Markers
Finlay McKinnon, David Ada Adama, Pedro Machado +1
Due to the universal non-verbal natural communication approach that allows for effective communication between humans, gesture recognition technology has been steadily developing o…
Clash of the Titans: ultra-high energy KM3NeT event versus IceCube data
Shirley Weishi Li, Pedro Machado, Daniel Naredo-Tuero +1
KM3NeT has reported the detection of a remarkably high-energy through-going muon. Lighting up about a third of the detector, this muon likely originated from a neutrino exceeding 1…
Summary of Workshop on Common Neutrino Event Generator Tools
Josh Barrow, Minerba Betancourt, Linda Cremonesi +20
A neutrino community workshop was held at Fermilab in Jan 2020, with the aim of developing an implementation plan for a set of common interfaces to Neutrino Event Generators. This…
Ariel: Enabling planetary science across light-years
Giovanna Tinetti, Paul Eccleston, Carole Haswell +313
Ariel, the Atmospheric Remote-sensing Infrared Exoplanet Large-survey, was adopted as the fourth medium-class mission in ESA's Cosmic Vision programme to be launched in 2029. Durin…
A survey for occultation astrometry of Main Belt: expected astrometric performances
João F. Ferreira, Paolo Tanga, Pedro Machado +1
Context: Occultations of stars by asteroids are an efficient method to study the properties of minor bodies, and can be exploited as tools to derive very precise asteroid astrometr…
Nightside Winds at the Lower Clouds of Venus with Akatsuki/IR2: Longitudinal, local time and decadal variations from comparison with previous measurements
Javier Peralta, Keishiro Muto, Ricardo Hueso +16
We present measurements of the wind speeds at the nightside lower clouds of Venus from observations by JAXA's mission Akatsuki during 2016, complemented with new wind measurements…
Bearded Dragon Activity Recognition Pipeline: An AI-Based Approach to Behavioural Monitoring
Arsen Yermukan, Pedro Machado, Feliciano Domingos +4
Traditional monitoring of bearded dragon (Pogona Viticeps) behaviour is time-consuming and prone to errors. This project introduces an automated system for real-time video analysis…
Exploiting High Quality Tactile Sensors for Simplified Grasping
Pedro Machado, T. M. McGinnity
Robots are expected to grasp a wide range of objects varying in shape, weight or material type. Providing robots with tactile capabilities similar to humans is thus essential for a…
Ground-breaking Exoplanet Science with the ANDES spectrograph at the ELT
Enric Palle, Katia Biazzo, Emeline Bolmont +56
In the past decade the study of exoplanet atmospheres at high-spectral resolution, via transmission/emission spectroscopy and cross-correlation techniques for atomic/molecular mapp…
Tau neutrinos at DUNE: new strategies, new opportunities
Pedro Machado, Holger Schulz, Jessica Turner
We propose a novel analysis strategy, that leverages the unique capabilities of the DUNE experiment, to study tau neutrinos. We integrate collider physics ideas, such as jet cluste…
Privacy-Preserving Spiking Neural Networks: A Deep Dive into Encryption Parameter Optimisation
Mahitha Pulivathi, Ana Fontes Rodrigues, Isibor Kennedy Ihianle +3
Deep learning is widely applied to modern problems through neural networks, but the growing computational and energy demands of these models have driven interest in more efficient…
Deep Reinforcement Learning for Energy-Efficient on the Heterogeneous Computing Architecture
Zheqi Yu, Chao Zhang, Pedro Machado +4
The growing demand for optimal and low-power energy consumption paradigms for IOT devices has garnered significant attention due to their cost-effectiveness, simplicity, and intell…
Benchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models
Sandro Costa Magalhães, Filipe Neves Santos, Pedro Machado +2
Purpose: Visual perception enables robots to perceive the environment. Visual data is processed using computer vision algorithms that are usually time-expensive and require powerfu…
Sex and age determination in European lobsters using AI-Enhanced bioacoustics
Feliciano Pedro Francisco Domingos, Isibor Kennedy Ihianle, Omprakash Kaiwartya +5
Monitoring aquatic species, especially elusive ones like lobsters, presents challenges. This study focuses on Homarus gammarus (European lobster), a key species for fisheries and a…
SteganoSNN: SNN-Based Audio-in-Image Steganography with Encryption
Biswajit Kumar Sahoo, Pedro Machado, Isibor Kennedy Ihianle +2
Secure data hiding remains a fundamental challenge in digital communication, requiring a careful balance between computational efficiency and perceptual transparency. The balance b…
Constraining Feeble Neutrino Interactions with Ultralight Dark Matter
Abhish Dev, Gordan Krnjaic, Pedro Machado +1
If ultralight eV), bosonic dark matter couples to right handed neutrinos, active neutrino masses and mixing angles depend on the ambient dark matter density. When the neutri…
Deep Learning approach for Classifying Trusses and Runners of Strawberries
Jakub Pomykala, Francisco de Lemos, Isibor Kennedy Ihianle +2
The use of artificial intelligence in the agricultural sector has been growing at a rapid rate to automate farming activities. Emergent farming technologies focus on mapping and cl…
SmartAntenna: Enhancing Wireless Range with Autonomous Orientation
Michael Swann, Pedro Machado, Isibor Kennedy Ihianle +3
The SmartAntenna proposes a novel approach to extend wireless communication, focusing on autonomous orientation to extend range and optimize performance. Through meticulous evaluat…
Neutrino Physics and Astrophysics at Colliders
Bei Zhou, Pedro Machado
Nonzero neutrino masses guarantee new physics and neutrinos are excellent probes of extreme environments in the Universe. The recent collider neutrino experimental program, includi…
Towards Achieving Thermal Comfort through Physiologically Cloud based controlled HVAC System
Isibor Kennedy Ihianle, Pedro Machado, Kayode Owa +1
Thermal comfort in shared spaces is essential to occupants well-being and necessary in the management of energy consumption. Existing thermal control systems for indoor shared spac…
Constraining Sterile Neutrino Interpretations of the LSND and MiniBooNE Anomalies with Coherent Neutrino Scattering Experiments
Carlos Blanco, Dan Hooper, Pedro Machado
Results from the LSND and MiniBooNE experiments have been interpreted as evidence for a sterile neutrino with a mass near the electronvolt scale. Here we propose to test such a sce…
EmotionAI: A Privacy-Preserving Computational Intelligence Pipeline for Speech-Emotion-Grounded Conversational Analysis
Wai Laam Mak, Isibor Kennedy Ihianle, Pedro Machado
Reviewing recorded interviews for affective cues such as composure and agitation is slow and subjective, and cloud services that could automate the task require sensitive audio to…
Decaying Sterile Neutrinos and the Short Baseline Oscillation Anomalies
Mona Dentler, Ivan Esteban, Joachim Kopp +1
The MiniBooNE experiment has observed a significant excess of electron neutrinos in a muon neutrino beam at source-detector distances too short to be compatible with standard neutr…
Improving Neutrino Energy Reconstruction with Machine Learning
Joachim Kopp, Pedro Machado, Margot MacMahon +1
Faithful energy reconstruction is foundational for precision neutrino experiments like DUNE, but is hindered by uncertainties in our understanding of neutrino--nucleus interactions…
Assessing the Impact of Varying HSO Cross Sections on Photochemical Models: Implications for the Spectral Characterization of Terrestrial Exoplanets
Alexandre Branco, Clara Sousa-Silva, Wynter Broussard +5
Characterization of exoplanet atmospheres requires a close interplay between observations, modelling and experimental data. The accuracy of input data used in atmospheric models is…
Detection of C3 in Titan with VLT-ESPRESSO
Rafael Rianço-Silva, Pedro Machado, Pascal Rannou +3
Titan is regarded as a natural laboratory in the Solar System for studying atmospheric photochemistry and the abiotic production of organic molecules on cold small exoplanets. Sinc…
Object recognition for robotics from tactile time series data utilising different neural network architectures
Wolfgang Bottcher, Pedro Machado, Nikesh Lama +1
Robots need to exploit high-quality information on grasped objects to interact with the physical environment. Haptic data can therefore be used for supplementing the visual modalit…
ACE Science Workshop Report
Stefania Gori, Nhan Tran, Karri DiPetrillo +20
We summarize the Fermilab Accelerator Complex Evolution (ACE) Science Workshop, held on June 14-15, 2023. The workshop presented the strategy for the ACE program in two phases: ACE…
Secure Video Streaming Using Dedicated Hardware
Nicholas Murray-Hill, Laura Fontes, Pedro Machado +1
Purpose: The purpose of this article is to present a system that enhances the security, efficiency, and reconfigurability of an Internet-of-Things (IoT) system used for surveillanc…
Flavor-dependent radiative corrections in coherent elastic neutrino-nucleus scattering
Oleksandr Tomalak, Pedro Machado, Vishvas Pandey +1
We calculate coherent elastic neutrino-nucleus scattering cross sections on spin-0 nuclei (e.g. Ar and Si) at energies below 100 MeV within the Standard Model and acc…
High Resolution Optical Methane Linelist from observations of Titan for Cross-Correlation studies
Rafael Rianço-Silva, Pedro Machado, Clara Sousa Silva +2
Exoplanet atmosphere characterization heavily relies on molecular spectroscopic data. Despite efforts to obtain comprehensive spectral libraries for the chemical characterization o…
Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of Perturbation and AI Techniques
Saminder Dhesi, Laura Fontes, Pedro Machado +3
Deep learning constitutes a pivotal component within the realm of machine learning, offering remarkable capabilities in tasks ranging from image recognition to natural language pro…
NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector
Pedro Machado, Joao Filipe Ferreira, Andreas Oikonomou +1
Vertebrate retinas are highly-efficient in processing trivial visual tasks such as detecting moving objects, yet a complex challenges for modern computers. In vertebrates, the dete…
Physics Opportunities for the Fermilab Booster Replacement
John Arrington, Joshua Barrow, Brian Batell +49
This white paper presents opportunities afforded by the Fermilab Booster Replacement and its various options. Its goal is to inform the design process of the Booster Replacement ab…
Snowmass Neutrino Frontier: NF02 Topical Group Report on Understanding Experimental Neutrino Anomalies
Georgia Karagiorgi, Bryce R. Littlejohn, Pedro Machado +1
This report has been prepared as part of the US Community Study on the Future of Particle Physics (Snowmass 2021) by the Snowmass Neutrino Frontier Topical Group NF02 Conveners, an…
Asteroid astrometry by stellar occultations: Accuracy of the existing sample from orbital fitting
João F. Ferreira, Paolo Tanga, Federica Spoto +2
Context: Stellar occultations, greatly enhanced by the publication of the Gaia data releases, permit not only the determination of asteroid size and shape, but also the retrieval o…
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture
Pedro Machado, Andreas Oikonomou, Joao Filipe Ferreira +1
The detection of moving objects is a trivial task performed by vertebrate retinas, yet a complex computer vision task. Object-motion-sensitive ganglion cells (OMS-GC) are specialis…
Searching for neutrino polarizability at DUNE
Sam Carey, Pedro Machado, Gil Paz +4
We perform an initial study of DUNE's sensitivity to enhanced neutrino polarizability within models of light scalar mediators. We identify two possible signatures of polarizability…
NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images
Pedro Machado, Georgina Cosma, T. M McGinnity
Biological image processing is performed by complex neural networks composed of thousands of neurons interconnected via thousands of synapses, some of which are excitatory and othe…
Single pion-production and pion propagation in Achilles
Joshua Isaacson, William Jay, Alessandro Lovato +4
We extend the applicability of Achilles (A CHIcagoLand Lepton Event Simulator) by incorporating the single-pion production mechanism in a fully exclusive fashion. The electroweak i…