Javier Burgués

Javier Burgués
ScioSense Germany GmbH · Chemical Sensors

Doctor of Philosophy

About

30
Publications
9,060
Reads
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454
Citations
Introduction
Signal processing, chemical sensors, robotics, drones, odor monitoring, machine learning, multivariate data analysis -> https://javierburgues.com
Additional affiliations
August 2020 - August 2020
ScioSense Germany GmbH
Position
  • Technical Lead
Description
  • Development of intelligent gas sensors for automotive applications, home automation and consumer electronics.
July 2019 - July 2020
IBEC Institute for Bioengineering of Catalonia
Position
  • Engineer
Description
  • Development of drone-based system for industrial odor monitoring
Education
December 2015 - July 2019
University of Barcelona
Field of study
  • Engineering and Applied Sciences
August 2012 - December 2013
University of Southern California
Field of study
  • Computer Science
September 2005 - September 2010
University Autonoma of Madrid
Field of study
  • Telecommunication Engineering

Publications

Publications (30)
Preprint
Circadian rhythms are a key survival mechanism that dictates biological activity according to the day-night cycle. In animals, cell-autonomous circadian clocks can be found in nearly every cell type and are subjected to multi-layered regulation. Although these peripheral clocks are remotely controlled by the master clock in the brain, they are also...
Article
Full-text available
Quantification of odor emissions in wastewater treatment plants (WWTPs) is key to minimize odor impact to surrounding communities. Odor measurements in WWTPs are usually performed via either expensive and discontinuous olfactometry hydrogen sulfide detectors or via fixed electronic noses. We propose a portable lightweight electronic nose specially...
Article
Full-text available
Tolerances in the fabrication of metal oxide (MOX) gas sensors lead to inter-device variability in baseline and sensitivity, even for sensors of the same fabrication batch. This has traditionally forced the use of individual calibration models (ICMs) built specifically for each sensor unit, which requires an expensive and time-consuming calibration...
Preprint
Full-text available
Nano quadcopters are ideal for gas source localization (GSL) as they are safe, agile and inexpensive. However, their extremely restricted sensors and computational resources make GSL a daunting challenge. In this work, we propose a novel bug algorithm named `Sniffy Bug', which allows a fully autonomous swarm of gas-seeking nano quadcopters to local...
Article
Full-text available
Wastewater treatment plants (WWTPs) are sources of greenhouse gases, hazardous air pollutants and offensive odors. These emissions can have negative repercussions in and around the plant, degrading the quality of life of surrounding neighborhoods, damaging the environment, and reducing employee's overall job satisfaction. Current monitoring methodo...
Technical Report
Full-text available
Malodours produced by wastewater treatment plants (WWTPs) are an expanding concern as cities surround these facilities. Current odour assessment methodologies use costly and infrequent olfactometry measurements involving human panels, which leads to odour measurements with low temporal and spatial resolution that do not allow for proper odour manag...
Conference Paper
Full-text available
Low-cost gas sensors allow for large-scale spatial monitoring of air quality in the environment. However they require calibration before deployment. Methods such as multivariate regression techniques have been applied towards sensor calibration. In this work, we propose instead, the use of deep learning methods, particularly, recurrent neural netwo...
Article
Recent advances in miniaturization of chemical instrumentation and in low-cost small drones are catalyzing exponential growth in the use of such platforms for environmental chemical sensing applications. The versatility of chemically sensitive drones is reflected by their rapid adoption in scientific, industrial, and regulatory domains, such as in...
Article
This paper describes the design of a low-pass differentiator filter with linear phase and finite impulse response (FIR) for extracting transient features of gas sensor signals (the so-called “bouts”) which are relevant for accurately estimating the source-receptor distance in a turbulent plume. Our current proposal addresses the shortcomings of pre...
Article
Full-text available
Metal Oxide (MOX) gas sensors rely on chemical reactions that occur efficiently at high temperatures, resulting in too-demanding power requirements for certain applications. Operating the sensor under a Pulsed-Temperature Operation (PTO), by which the sensor heater is switched ON and OFF periodically, is a common practice to reduce the power consum...
Article
The difficulty to obtain ground truth (i.e. empirical evidence) about how a gas disperses in an environment is one of the major hurdles in the field of mobile robotic olfaction (MRO), impairing our ability to develop efficient gas source localization strategies and to validate gas distribution maps produced by autonomous mobile robots. Previous gro...
Article
Full-text available
Metal oxide (MOX) sensors are widely used for chemical sensing due to their low cost, miniaturization, low power consumption and durability. Yet, getting instantaneous measurements of fluctuating gas concentration in turbulent plumes is not possible due to their slow response time. In this paper, we show that the slow response of MOX sensors can be...
Article
Full-text available
The intermittency of the instantaneous concentration of a turbulent chemical plume is a fundamental cue for estimating the chemical source distance using chemical sensors. Such estimate is useful in applications such as environmental monitoring or localization of fugitive gas emissions by mobile robots or sensor networks. However, the inherent low-...
Conference Paper
Full-text available
The low bandwidth of metal oxide semiconductor (MOX) sensors (<0.1 Hz) is a major hurdle to gas source localization (GSL) in turbulent environments where detection of intermittent odor patches is key. We present a fast-response miniaturized electronic nose (Fast-eNose) composed of four naked MOX sensors and a digital band-pass filter that can boost...
Conference Paper
This paper explores which signal features of a gas sensor are optimum for assessing the proximity to a gas source in an open environment. Specifically, we compare three statistical descriptors of the signal (mean, variance and maximum response) against the ‘bout’ frequency, a feature computed in the derivative of the response. The experimental setu...
Article
Full-text available
This paper proposes the application of a low-cost gas sensor array in an assistant personal robot (APR) in order to extend the capabilities of the mobile robot as an early gas leak detector for safety purposes. The gas sensor array is composed of 16 low-cost metal-oxide (MOX) gas sensors, which are continuously in operation. The mobile robot was mo...
Article
Full-text available
This paper describes the development and validation of the currently smallest aerial platform with olfaction capabilities. The developed Smelling Nano Aerial Vehicle (SNAV) is based on a lightweight commercial nano-quadcopter (27 g) equipped with a custom gas sensing board that can host up to two in situ metal oxide semiconductor (MOX) gas sensors....
Conference Paper
Full-text available
Gas distribution modelling can provide potentially life-saving information when assessing the hazards of gaseous emissions and for localization of explosives, toxic or flammable chemicals. In this work, we deployed a three-dimensional (3D) grid of metal oxide semiconductor (MOX) gas sensors deployed in an office room, which allows for novel insight...
Article
Full-text available
A methodology to calculate analytical figures of merit is not well established for detection systems that are based on sensor arrays with low sensor selectivity. In this work, we present a practical approach to estimate the discrimination power of a sensory system, considering nonlinear sensors and heteroscedastic sensor noise. We use the definitio...
Article
Metal oxide semiconductor (MOX) sensors are usually temperature-modulated and calibrated with multivariate models such as partial least squares (PLS) to increase the inherent low selectivity of this technology. The multivariate sensor response patterns exhibit heteroscedastic and correlated noise, which suggests that maximum likelihood methods shou...
Article
The limit of detection (LOD) is a key figure of merit in chemical sensing. However, the estimation of this figure of merit is hindered by the non-linear calibration curve characteristic of semiconductor gas sensor technologies such as, metal oxide (MOX), gasFETs or thermoelectric sensors. Additionally, chemical sensors suffer from cross-sensitiviti...
Article
Full-text available
Mobile applications based on gas sensing present new opportunities for low-cost air quality monitoring, safety, and healthcare. Metal oxide semiconductor (MOX) gas sensors represent the most prominent technology for integration into portable devices, such as smartphones and wearables. Traditionally, MOX sensors have been continuously powered to inc...
Conference Paper
Most of the battery powered systems with integrated sensors need low power consumption modes to enlarge the operation time. In the case of the fruit logistic chain, the fruit quality may be controlled by the detection of some gases as ethylene, acetaldehyde and ammonia, that are related to maturation, oxygen stress and refrigeration leakage. We rep...
Article
Full-text available
We present the estimation of a likelihood map for the location of the source of a chemical plume dispersed under atmospheric turbulence under uniform wind conditions. The main contribution of this work is to extend previous proposals based on Bayesian inference with binary detections to the use of concentration information while at the same time be...
Conference Paper
Full-text available
The limit of detection of metal-oxide semiconductor (MOX) sensors degrades due to cross sensitivity to environmental conditions in blank samples. Temperature-modulated MOX sensors are usually calibrated using multivariate methods in which the LOD definition is not well stablished. This work studies the influence of the ambient humidity variations i...
Conference Paper
Full-text available
The performance of an automatic hand geometry authentication system relies heavily on the quality of the captured hand images. Factors related to the acquisition device (e.g. dirty scanner surface) or the user-sensor interaction process (e.g. hand positioning) can degrade the quality of the acquired sample. Therefore, upon capture of a hand sample...
Conference Paper
Full-text available
A hand-geometry recognition system is presented. The development and evaluation of the system includes feature selection experiments using an existing publicly available hand database (50 users, 500 right hand images). The obtained results show that using a very small feature vector high recognition rates can be achieved. Additionally, various expe...

Projects

Projects (7)
Project
To develop a drone to monitor for environmental odour monitoring in wastewater treatment plants.