Information

 

Curriculum Vitae et Studiorum
My Vita in PDF format

Academics
Ph.D. in Computational Science and Informatics, Track in Computational Itelligence and Knowledge Mining
George Mason University, 2005

M.S. in Computer Science, Track in Artificial Intelligence and Machine Learning
George Mason University, 2000

B.S. in Computer Science, Track in Computer Networks
The Catholic University of America, 1998

In 2013 I received the 'Medaglia di Rappresentanza' from the Italian Ambassador on behalf of the president of the Italian Republic

Medaglia di Rappresentanza

 

My Ph.D. Lineage

PhD Tree

 

Projects

Research Interests
My formal background is in Computational Science and Remote Sensing, and my research focuses on the development and application of computational algorithms for the analysis of spatio-temporal remote sensing, numerical modeling and social media “Big Data” related to environmental hazards and renewable energy.  My research falls under the general description of CyberScience and can be summarized as a tripartite of tools, data and topics.

  • Tools: GeoInformatics is the framework that provides the geospatial analysis tools, primarily based on spatio-temporal data mining, machine learning and artificial intelligence.

  • Data: Remote sensing, numerical simulations, and social media are the primary source of ‘big data’ used in the analysis.

  • Topic: Environmental hazards and renewable energy are the challenging problems of high societal impact addressed.

Currently, I work on three projects, and I am constantly looking for new collaboration and new students.

  1. The fusion of remote sensing, numerical model and social media data during emergencies. Remote sensing is the de-facto standard in observing the Earth and its environment during emergencies, but gaps in the data are inevitable due to sensor limitations of atmospheric opacity. The goal is to ‘fill the gaps’ in remote sensing observations using social media data, other non-authoritative sources, and numerical models. This project is currently being funded by DOT and by ONR.

  2. Using GeoInformatics to optimize numerical model forecasts for renewable energy.  Given a single deterministic future forecast, and a history of past forecasts and associated observations, the goal is to build a probabilistic forecast that captures the risk of over- or under-producing electricity. This project is also partially supported by DoE and Xcel Energy through NCAR, and my code is being used operationally by Xcel Energy.

  3. The source  characterization of unknown and potentially toxic pollutants using remote sensing, numerical models and ground sensor measurements. I reconstructed the non-steady release rate for the radioactive leak at the Fukushima nuclear power plant. The methodology I developed uses an evolutionary (genetic) algorithm guided by machine learning rule induction. This work is currently being supported by ONR.  

 

Funding

 

15. PI: Guido Cervone
Project Title: Combining Remote Sensing and Social Media to Teach GIS
Sponsor: National Center for Supercomputing Applications
Budget: $5,200, Dates: 8/1/2014 - 7/31/2015

14. PI: Guido Cervone
Project Title: Optimal Selection of Ensemble Members using Machine Learning II
Sponsor: National Center for Atmospheric Research
Budget: $5,000, Dates: 7/1/2014 - 7/31/2014
Development of a new methodology based on Machine Learning for the selection of wind speed forecast ensemble members to be used for wind power prediction.

13. PI: Guido Cervone
Project Title: A Unmanned Aerial Vehicle to Study Natural Hazards
Sponsor: Schreyer Institute for Teaching Excellence
Budget: $4,923, Dates: 9/1/2014 - 12/31/2014
Using a UAV to study transportation infrastructure before and after major events. The equipment will be used in my remote sensing classes.

12. PI: Guido Cervone
Project Title: Filling the Gaps in Remote Sensing Data Using Social Media During CBRNE Emergencies
Sponsor: Office of Naval Research
Budget: $90,000, Dates: 4/1/2014 - 3/31/2015
Use social media data to fill the gaps in remote sensing observations during the Fukushima nuclear power accident.

11. PI: Guido Cervone
Project Title: Filling the Gaps in Remote Sensing Data Using Social Media During CBRNE Emergencies
Sponsor: Office of Naval Research
Budget: $15,000, Dates: 11/1/2013 - 3/31/2014
Use social media data to fill the gaps in remote sensing observations during the Fukushima nuclear power accident.

10. PI: Guido Cervone
Project Title: Data mining of remote sensing data to study natural hazards
Sponsor: Italian Ministry of Research and Education
Budget: Euro 45,000 (≈ $60,000), Dates: 7/1/2013 - 8/31/2013
Collaborative proposal with the University of Salerno, Italy, to use data mining algorithms on remote sensing ‘big data’ to study natural hazards.

9. PI: Guido Cervone
Project Title: Optimal Selection of Ensemble Members using Machine Learning
Sponsor: National Center for Atmospheric Research
Budget: $14,421, Dates: 7/1/2013 - 8/31/2013
Development of a new methodology based on Machine Learning for the selection of wind speed forecast ensemble members to be used for wind power prediction.

8. PI: Guido Cervone
Project Title: Machine Learning Algorithms to Improve Wind Forecasts for Power Generation
Sponsor: Office of Research & Economic Development
Budget: $3,000, Dates: 8/1/2013 - 8/31/2013

7. PI: Nigel Waters
CoPI: Guido Cervone
Project Title: Using Social Networks and Commercial Remote Sensing to Assess Impacts of Natural Events on Transportation Infrastructure
Sponsor: Department of Transportation
Budget: $1,050,000, Dates: 8/15/2012 - 7/15/2014
To mine social networks in the aftermath of major catastrophic natural disasters for information on transportation infrastructure failures, and then to analyze high resolution satellite data for these locations to assess the damages.

6. PI: Guido Cervone
Project Title: Source Detection of Atmospheric Pollutants using Machine Learning
Sponsor: National Center for Atmospheric Research
Budget: $3,516, Dates: 8/1/2012 - 8/31/2012
Development and Testing of Non-Darwinian methodology based on machine learning rule induction to identify the characteristics of an unknown atmospheric emission.

5. CoPI: Guido Cervoneu
Project Title: Spatiotemporal Analysis for Geospatial Surveillance Applications: Sensor Mobility Sponsor: Draper Labs
Budget: $125,000, Dates: 7/1/2011 - 6/30/2012
To mine video streams to identify anomalous and suspicious user activities.

4. PI: Guido Cervone
Project Title: Data Mining of Geospatial Databases
Sponsor: Stormcenter Communication
Budget: $11,000, Dates: 8/1/2012 - 9/30/2012
To identify which satellite and model products are best suited for emergency responders in case of natural hazards.

3. PI: Guido Cervone
CoPI: Mark Salvador (Logostech)
Project Title: Full-Spectrum Hyperspectral Detection Through Sparse Representation in the Wavelet Packet Subspace Optimized Via Machine Learning
Sponsor: NGA
Budget: $235,744, Dates: 8/21/2010 - 8/20/2012
To use machine learning symbolic classification to characterize wavelet coefficients in full spectrum remote sensing data for target identification. Note: Budget was frozen after the initial award.

2. PI: Guido Cervone
Project Title: Non-Darwinian Evolutionary Algorithms for Source Detection of Atmospheric Pollutants Sponsor: Office of Research & Economic Development
Budget: $5,000, Dates: 8/1/2010 - 5/1/2010

1. PI: Guido Cervone
Project Title: A 16 display matrix for high resolution visualization and high performance computing Sponsor: GMU College of Science Dean’s office
Budget: $50,000, Dates: 8/1/2006 - 12/31/2007


Guido Cervone
Associate Professor
Department of Geography and Institute for CyberScience
The Pennsylvania State University
and
Affiliate Scientist
Research Application Laboratory
National Center for Atmospheric Research