Rodrigo Carbajales

ORCID: 0000-0003-0705-3626
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About
Contact & Profiles
Research Areas
  • Air Quality Monitoring and Forecasting
  • Air Quality and Health Impacts
  • Mobile Crowdsensing and Crowdsourcing
  • Water Quality Monitoring Technologies
  • Advanced Chemical Sensor Technologies
  • Energy Efficient Wireless Sensor Networks
  • Ocean Acidification Effects and Responses
  • IoT and Edge/Fog Computing
  • Underwater Vehicles and Communication Systems
  • Caching and Content Delivery
  • Vehicle emissions and performance
  • Underwater Acoustics Research
  • Peer-to-Peer Network Technologies
  • IoT-based Smart Home Systems
  • Cloud Computing and Resource Management
  • Urban Heat Island Mitigation
  • Marine animal studies overview
  • Distributed Sensor Networks and Detection Algorithms

National Institute of Oceanography and Applied Geophysics
2021-2023

Oxford Graduate School
2022

The Abdus Salam International Centre for Theoretical Physics (ICTP)
2015

We present new advances in monitoring particulate matter (PM) urban areas within a participatory vehicle sensor network (VSN) that exploits the use of multiple mobile low-cost IoT devices. These devices send geolocated PM measurements to an IT infrastructure and enabled us reconstruct, real time, spatial temporal distribution pollutants study area web-based environment. The newly acquired data were integrated with independent reference available from governmental environmental agencies....

10.3390/rs14215576 article EN cc-by Remote Sensing 2022-11-04

Marine life can be severely affected by anthropogenic underwater noise. This latter increased proportionally to the rise of human activities such as maritime traffic, marine civil engineering works, oil- and gas-related or offshore wind farms; so much that, currently, it considered a threat environment. Assessing noise requires quite some investments both in personnel instrumentation. If this is affordable several governmental scientific organizations, cannot extended straightforwardly all...

10.3390/jmse9040390 article EN cc-by Journal of Marine Science and Engineering 2021-04-07

The Internet of Things (IoT) allows users to gather data from the physical environment. While sensors in public spaces are already widely used, reluctant deploy for shared at their homes. deployment IoT nodes premises presents privacy issues regarding who can access once it is sent Cloud which cannot control. In this paper we present an energy-efficient and low cost solution environmental monitoring home. Our system built completely with open source components easy reproduce. We leverage...

10.1109/wf-iot.2015.7389071 article EN 2015-12-01

This work aims at understanding whether a citizen science-based monitoring system could be adequate to detect the effects, in terms of air quality, solid and liquid fuel combustion for household heating. Citizen science is known able improve coverage resolution measurements very low cost. On other hand, it also has severe limitations. Since low-cost sensors are used, problematic precision accuracy. In order test these aspects, we developed named COCAL that supports all phases quality...

10.3390/atmos13101689 article EN cc-by Atmosphere 2022-10-15

Marine research is as important very demanding since it requires expensive infrastructures and resources. Scientific institutions, on the contrary, have limited funding so that seas remain, still, mostly unexplored. Another serious concern society at large often resonates with fake news, while scientists sometimes tend to bias their backgrounds paradigms. We think all these issues can be addressed opening process of knowledge building questions needs stakeholders laypeople. The MaDCrow...

10.22323/2.20060209 article EN cc-by-nc-nd Journal of Science Communication 2021-10-11

This work reports on the development of a real-time vehicle sensor network (VSN) system and infrastructure devised to monitor particulate matter (PM) in urban areas within participatory paradigm. The approach is based use multiple vehicles where sensors, acquisition transmission devices are installed. PM values measured transmitted using standard mobile phone networks. Given large number platforms needed crowdsensing, sensors need be low-cost (LCS). sets limitations precision accuracy...

10.3390/pr11071881 article EN Processes 2023-06-23

Within the United Nations Sustainable Development 2030 agenda, sustainable growth in marine and maritime sector needs sea water quality monitoring. This is a very demanding expensive task which results being largely undersampled. MaDCrow research development project supported by European Regional Fund, that involves citizens as data collectors while aiming to improve public environmental awareness participation scientific research. Its goal create an innovative technological infrastructure...

10.3389/fmars.2021.619898 article EN cc-by Frontiers in Marine Science 2021-07-22

This demo paper presents Cloudy, a Debian-based distribution to build and deploy clouds in community networks. The demonstration covers the following aspects: Installation of Cloudy GUI for usage administration by end users, nodes services deployed Guifi network.

10.1109/inm.2015.7140459 article EN 2015-05-01

<p>Low cost sensors and crowd-sourcing data could potentially revolutionise the way air pollution measurements are collected providing high density geolocated data. In fact, so far have been mostly using dedicated fixed position monitoring stations. These latter rely on quality instrumentation, well established practices trained personnel, which means that, due to its costs, this paradigm entails limitations in resolution extension of geographic sampling an...

10.5194/egusphere-egu2020-18946 article EN 2020-03-10

<p>The Oceans cover 70% of the surface our planet and contain 99% living space on planet. Surveying blue planet  is a very demanding expensive activity since requires large infrastructures trained personnels. Research  institutions, contrary, have limited funding to perform their studies  so that seas remain, still, mostly unexplored. This urges for  bold step towards new paradigm for marine data acquisition. MaDCrow (Marine...

10.5194/egusphere-egu2020-9030 article EN 2020-03-09
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