Javier Burgués

Javier Burgués

Technical Lead

ScioSense Germany GmbH

Biography

I currently work as Technical Lead at ScioSense, where I am responsible for the development of the latest generation of chemical sensors for automotive applications, home automation, and consumer electronics. I did my PhD and postdoc research at the Signal and Information Processing for Sensing Systems group of the Institute for BioEngineering of Catalonia. I also worked as associate professor at the University of Barcelona.

Interests

  • Chemical sensors
  • Electronics
  • Artificial Olfaction
  • Signal processing
  • Robotics
  • Predictive modelling

Education

  • PhD in Engineering and Applied Sciences, 2019

    University of Barcelona

  • MSc in Data Science and Big Data, 2015

    University of Barcelona

  • MSc in Computer Science, 2013

    University of Southern California

  • BSc in Telecommunication Engineering, 2010

    University Autonoma of Madrid

Languages

spain

Spanish

Native

uk

English

Proficient

catalan

Catalan

Proficient

Skills

Programming

MATLAB, Python, C, C++, Java, LabVIEW

Databases

SQL, Oracle, DBMS

3D Design

AutoCAD

Statistics

Signal Processing

Electronics

Robotics

Machine Learning

Data Visualization

Data Analysis

Social skills

Leadership, Team work, Communication

Personal skills

Resilience, Commitment, Creativity

Professional experience

 
 
 
 
 

Technical Lead

ScioSense Germany GmbH

Aug 2020 – Present Reutlingen (Germany)
Development of intelligent chemical sensors for automotive applications, home automation, and consumer electronics.
 
 
 
 
 

Lead Engineer

Institute for BioEngineering of Catalonia (IBEC)

Jul 2019 – Jul 2020 Barcelona
Development of a drone with olfaction capabilities for industrial emission monitoring (SNIFFDRONE project).
 
 
 
 
 

R&D Engineer

Institute for BioEngineering of Catalonia (IBEC)

Feb 2014 – Dec 2015 Barcelona
  • Development of an Unsteady Driving Warning system to detect driver drowsiness (SOMNOALERT project).
  • Characterization and test of chemical sensor systems for Indoor Air Quality and Safety applications (IAQS project).
 
 
 
 
 

R&D consultant

Computer Vision group

Feb 2012 – Jul 2012 Madrid
Development of ‘See & Avoid’ algorithms for collision avoidance by autonomous drones.
 
 
 
 
 

Hardware/Software Engineer

GMV Aerospace and Defence

Feb 2011 – Feb 2012 Madrid
  • Development and testing of the Audio Management System (AMS) of a military aircraft (Funding: AIRBUS).
  • Hardware/software co-design based on microcontrollers and FPGAs (Funding: European Space Agency).

Teaching experience

Associate Professor

I taught the following courses of the MSc in Biomedical and Telecommunication Engineering:

  • Data Analysis and Signal Processing for Chemical Sensors (coordination, lectures, and lab sessions)
  • Signal and Information Processing (lab sessions)
  • Biomedical Signals and Instrumentation (lab sessions)
  • Biological Systems Modelling (lab sessions)

Internal Trainer in MATLAB Programming

During three consecutive years I provided internal training in MATLAB programming (Basic and Advanced) for MSc students, PhD candidates, post-docs, and technicians working at IBEC

Courses completed

Statistical Analysis Applied To Research Data

The course (20 hours) focuses on the understanding of statistical concepts and their interpretation in a research framework. After a general introduction on probability theory and statistical inference, an emphasis will be made on common statistical methods, such as ANOVA, t-test, correlation, and regression.

Data Visualization

This course (16 hours) focuses on the essential principles of visual communication together with an exercise where participants draw their own research as a graphical abstract

Machine Learning and Advanced Statistics

Full-time summer school in machine learning and statistics (90 hours). Courses attended: Statistical Inference; Feature Subset Selection; Support Vector Machines and Regularized Learning; Supervised and unsupervised pattern recognition; Time Series analysis

Experimental Design

The course (30 hours) taught by Prof. Ricardo Leardi covers the main experimental designs (factorial design, Plackett-Burman, Central Composite Design, Doehlert, mixture designs, …). Specific attention is given to the mental approach required by a multivariate analysis.

Recent Posts

SNIFFDRONE field measurements

Last week we performed the first field measurements of the SNIFFDRONE project. The fully equipped drone, i.e. carrying the custom electronic nose and the odor sampling device, was flown for several hours over a wastewater treatment plant (WWTP) in the south of Spain.

Our nano-drone is on the news!

Our work on the use of a nanodrone for gas source localization and mapping has been covered by several national and international media. Here are some of the links: https://techxplore.com/news/2019-07-nanodrone-toxic-gases-emergencies.html
Our nano-drone is on the news!

Kick-off meeting for funded ATTRACT projects

On 20th – 21st May 2019, the ATTRACT consortium called all funded projects for a kick-off meeting at CERN premises. The ATTRACT Project funds 170 breakthrough technology concepts in the domain of detection and imaging technologies across Europe.
Kick-off meeting for funded ATTRACT projects

Projects

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Turbulent plume analysis

Analysis of turbulent plumes with low-cost MOX sensors.

Smelling nano-drone

A nano-drone with olfaction capabilities for gas source localization and mapping.

Low power MOX

Reduction of power consumption in MOX sensors by pulsed temperature operation (PTO) and signal processing.

Sniffdrone

A drone with olfaction capabilities to quantify malodours produced by wastewater treatment plants (WWTPs).

SomnoAlert

SomnoAlert is an advanced driver-assistance system (ADAS) that identifies inadequate driving states related to driving quality.

Smartplane

Smartplane project intends to create an aircraft that isn’t just fun to fly, but one that will make personal flight a viable mode of transportation.

Geographic information systems (GIS)

Geographic information system (GIS) for locating fire hydrants and buildings on fire on a university campus.

Hand biometrics

Automatic identification of people by the geometry of their hands.

Recent & Upcoming Talks

Decoding the fine-scale structure of turbulent plumes with low-cost chemical sensors and signal processing

My talk at the ECRO 2020 Satellite Symposium on Molecular Communication – from odour plume to transmission of chemical information
Decoding the fine-scale structure of turbulent plumes with low-cost chemical sensors and signal processing

Decoding Turbulent Chemical Plumes with Improved Signal Processing and Machine Learning

Join Dr. Burgués as he demonstrates how he has built faster and more reliable MOX sensors for tracking turbulent chemical plumes.
Decoding Turbulent Chemical Plumes with Improved Signal Processing and Machine Learning

Signal Processing and Machine Learning for Gas Sensors : Gas Source Localization with a NanoDrone

After years of hard work, I will be finally defending my PhD thesis!! Everyone is invited.
Signal Processing and Machine Learning for Gas Sensors : Gas Source Localization with a NanoDrone

High-bandwidth e-nose for rapid tracking of turbulent plumes

My talk at the 18th International Symposium on Olfaction and Electronic Nose (ISOEN) 2019, in which I explained our latest development in electronic noses for rapid tracking of odor plumes.
High-bandwidth e-nose for rapid tracking of turbulent plumes

Recent Publications

Quickly discover relevant content by filtering publications.

Environmental chemical sensing using small drones: A review

Recent advances in miniaturization of chemical instrumentation and in low-cost small drones are catalyzing exponential growth in the …
Environmental chemical sensing using small drones: A review

Feature Extraction for Transient Chemical Sensor Signals in Response to Turbulent Plumes: Application to Chemical Source Distance Prediction

This paper describes the design of a low-pass differentiator filter with linear phase and finite impulse response (FIR) for extracting …
Feature Extraction for Transient Chemical Sensor Signals in Response to Turbulent Plumes: Application to Chemical Source Distance Prediction

Pulsed-Temperature Metal Oxide Gas Sensors for Microwatt Power Consumption

Metal Oxide (MOX) gas sensors rely on chemical reactions that occur efficiently at high temperatures, resulting in too-demanding power …
Pulsed-Temperature Metal Oxide Gas Sensors for Microwatt Power Consumption

Prediction of Gas Concentration Using Gated Recurrent Neural Networks

Low-cost gas sensors allow for large-scale spatial monitoring of air quality in the environment. However they require calibration …
Prediction of Gas Concentration Using Gated Recurrent Neural Networks

Gas distribution mapping and source localization using a 3D grid of metal oxide semiconductor sensors

The difficulty to obtain ground truth (i.e. empirical evidence) about how a gas disperses in an environment is one of the major hurdles …
Gas distribution mapping and source localization using a 3D grid of metal oxide semiconductor sensors

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