Gerald Augusto Corzo Perez - Senior ICT and Water Resources Engineer Hydroinformatics and socio-technological innovations - IHE Delft

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Gerald Augusto Corzo Perez - Senior ICT and Water Resources Engineer Hydroinformatics and socio-technological innovations - IHE Delft
Gerald Augusto Corzo Perez
Senior ICT and Water Resources Engineer
Hydroinformatics and socio-technological innovations

Profile
Dr Gerald A. Corzo is a senior researcher with extensive knowledge on ICT and its applications water resources
problems. Civil engineering with studies in teleinformatics, master and PhD in hydroinformatics applications using
machine learning models. Postdoctoral experience using Big Data analytics for Climate Change extremes at
Wageningen University. His primary areas of expertise are in hybrid machine learning and process-based modelling.
Have worked in spatiotemporal analysis of extreme events under climate change scenarios, and have contributed to
the area of pattern recognition and tracking of extremes. Has more than 40 high impact journal publications, various
book chapters, journal special issues and book editorials. In 2012 won the Tison award as from the International
Association for Hydrological Science (IAHS). Participated in various EU and international projects. Has developed a
trajectory in spatial statistics, lecturing and 9 years as convener of the geostatistics session at the European Geoscience
Union. Coordinated the statistics of the Climate change inventory of adaptation and mitigation actions for Latin-
America, presented at the World Water Forum in 2012. Wrote the report 43 on future extremes from the WATCH EU
forcing data set and a big data analysis of the Climate model scenarios. In 2020 coordinated the analysis of climate
change for the national atlas of climate change in the Dominican Republic. Currently focused on AI and spatiotemporal
analysis of socio technological and water resources problems. One of his recent projects focuses on Natural processing
language for understanding and finding causation of decision making from cloud data. Part of the development in the
area of data collection use of citizens science and mobile teechnologies. As part of the concept of citizens involvement
an “intelligent” serious games was developed to collect data and explore knowledge and behaviour in citizens. As
project leader, lecturer and research supervisor had the opportunity to cooperate with institutes around the world,
building a large network for science and development cooperation.

Professional Experience
  Period: 2013-Current

  Associate Professor, Senior Researcher, Lecturer (IHE Delft Institute for Water Education (UNESCO-
  IHE), Delft, The Netherlands

  Achievements: Development of online modelling tools for the use of students abroad, director of the
  hydroinformatics lab, acquisition and leader of projects, courses in Colombia, Bolivia, Ecuador, Costa Rica,
  Nicaragua, Dominican Republic, Mexico and USA. Part of the scientific advisor of the committee for the PRIMA
  2020 EU project, Support to the Colombian Plan for adaptation in Climate Change, Projects acquisition in Flood
  forecasting with the National research agency in Dominican Republic and Salvador, Spatial data-infrastructures
  in Colombia. UTQ from Technical University of Delft. Various MSc, PhD co-promotion and supervision.
  Ambassador of the IHE Delft institute for Mexico until 2018. Development of two international Master of Science
  programs and one NSF AI cooperation project with the University of Nebraska (USA). Two book editions, one in
  2019 and one in 2021, two special editions one on geostatistics and one on spatiotemporal extremes.
Period: 2011-2013

 Research professor, Tecnologico de Monterrey , Monterrey, Mexico

 Achievements: Team leader for the group of the statistics of inventory on adaptation to climate change in the
 Americas, for the World Water Forum (Marseille, 2012). This work included the design of a platform for
 international interactions as well as being part of the editorial team of the book of strategies for climate change
 actions (cooperation with CONAGUA Mexico).Coordinator and developer of the first international network for
 research scientists in Latinoamerica, Red Latina del Agua (Aqua Latina)

 Period: 2009-2011

 Postdoc researcher, Wageningen University, Wageningen, The Netherlands

 Achievements: WATCH-EU report 43 on future drought and climate change

 Period: 2005-2009

 PhD research fellow and Server Manager of the Hydroinformatics group, UNESCO-IHE, Delft, The
 Netherlands

 Achievements: Management of Delft Cluster project task Safety against flood, W.P. 3. Supervision and support of
 Master of Science on different projects. Web server manager and ICT support on hydrological workshops and
 exercises on database information and knowledge management

 Period: 2000-2003

 Lecturer , Universidad Francisco de Paula Santander, Cúcuta, Colombia

 Achievements: Project in partnership for National Colombian Science Institute, project Waves, COLCIENCIAS
 (Governmental National Science Organization) 2002-2003

Education
 Period: 2009-2011

 Postdoctoral, Wageningen University, The Netherlands

 Supervisor(s): Henny van Lanen

 Period: 2005-2009

 Doctor of Philosophy, Technical University of Delft and UNESCO-IHE, The Netherlands

 Supervisor(s): Dimitri Solomatine, Stefan Uhlenbrook, Micha Werner and Marcel de Wit

 Period: 2003-2005

 Master of Science in Water Resources, specialisation in Hydroinformatics, UNESCO-IHE, The
 Netherlands

 Supervisor(s): Dimitri Solomatine

 Period: 2001-2003
Specialisation in Teleinformatics, Universidad Distrital Francisco Jose de Caldas, Colombia

 Supervisor(s): Alberto Acosta

 Period: 1992-1998

 Civil Engineer, Escuela Colombiana de Ingeniería, Colombia

 Supervisor(s): Ing. Manuel Delgado Vargas

As a trainer in Capacity Building programmes

 Date 02/2021, ICT Tools for water resources and food security, Escuela Colombiana de Ingenieria and IHE Delft
 Institute for water education. Netherlands funded training project (OKP)

 Date 09/2020, Geostatistics for water and enviromental sciences, IHE Delft Institute for water Education.
 Netherlands funded training project.

 Date 06/2020, Analysis of Hydrological extremes events from global data sets, Escuela Colombiana de Ingenieria,
 Online – Jun, Colombia.

 Date 03/2020, Introduction to Machine learning for water resources at the Civil Engineering Faculty, University
 of Campina, Campinas, Brazil.

 Date 03/2019, Workshop on Introduction to Hydroinformatics applied to Machine Learning applied to extreme
 hydrological events at the Universidad de Cochabamba, May, Cochabamba, Bolivia.

 Date 08/2018, Workshop on mobile technologies for data acquisition at the Center for agriculture in Central
 America (CATIE), July, Turrialba, Costa Rica.

 Date 08/2017, Advance hydrological tools for water resources and food security, UNAN, November, Managua,
 Nicaragua

 Date 08/2017, Modelos de gestión integrada de recursos hídricos, Universidad Nacional, August, Liberia , Costa
 Rica

 Date 05/2017, Uso de redes neuronales para la predicción hidrometeorológica, Pontificia Universidad Madre y
 Maestra, June, Santo Domingo, Dominican Republic

 Date 06/2018, Training on climate change analysis of extreme hydrological events, Escuela Colombiana de
 ingeniería, July, Bogotá, Colombia

 Date 06/2017, Training on climate change analysis of extreme hydrological events, Escuela Colombiana de
 ingeniería, June, Bogotá, Colombia

 Date 06/2016, Training on climate change analysis of extreme hydrological events, Escuela Colombiana de
 ingeniería, June, Bogotá, Colombia

 Date 03/2015, Training on Advance hydrological modelling, Universidad de Veracruz, March, Xalapa, México

 Date 06/2015, Training on climate change analysis of extreme hydrological events, Escuela Colombiana de
 ingeniería, June, Bogotá, Colombia
Date 28/015, Training on Decision support systems for water resource management, module on multicriteria
 analysis, November, Universidad del Valle, Calí, Colombia

 Date 06/2014, Training on climate change analysis of extreme hydrological events, Escuela Colombiana de
 ingeniería, June, Bogotá, Colombia

 Date 07/2011, International Workshop on climate change for decision makers, National University (UNA), March,
 San Jose, Costa Rica

 Date 06/2012, Workshop on climate change and water reuse in the context of Integrated water resources
 management, Faculty of Engineering, April, Cooperative University of Colombia, Villavicencio, Colombia

 Date 03/2010, Workshop on classification and error analysis of spatial patterns, Faculty of Hydrology and
 quantitative water management, September, Wageningen University, Wageningen, The Netherlands

Awards or fellowships
 Year 2012, Tison Award, best Publication in Hydrological Science Journal from IAHS. Young scientist award from
 the International association of Hydrological Sciences, Paper on Rainfall interception-evaporation-runoff
 relationships in a semi-arid catchment in Zimbawe

 Year 2012, Award of National System of Researchers Level 1, from the Mexican Council of Science (CONACYT)

 Year 2010, Scholarship. Course in Classification in atmospheric sciences, University of Augsburg, Germany

 Year 2008, Scholarship Boussinesq, Advanced methods in experimental hydrology, Luxemburg, Lipman Institute,
 Luxemburg

 Year 2005, Delft Cluster Scholarship, The Netherlands

 Year 2003, Netherlands Fellowship Programme, Nuffic, The Netherlands

Research Projects

 2021-2024 CLINT, Climate Intelligent Forecast, AI tools for forecasting mid-term water resources. Package on
 forecasting extremes. Donor: EU, H2020

 2020-2022 NAIDES, Smat Water management for sustainable development goal, natural processing languague
 component. Donor: H2020

 2016-2022 Machine learning research for analysis of extremes and forecasting, funds for 5 PhD candidates.
 Donor: Colciencias (Colombian Science Agency). PL

 2019-2021, Sustainable Managed Mediterranean Aquifer recharg, Development of models and spatiotemporal
 patterns of groundwater recharge for climate change scenarios. Donor: Prince Albert II foundation. PL

 2019-2021 Analysis of patterns in droughts and nature based solutions surrogate representations, funds for 2 PhD,
 Donor: CONACYT (Mexican Agency for Science). PL
2016-2020, HybridModels, Dominican Republic analysis of hybrid machine learning models in operational
 forecasting for the Yuna river basin (transfer learning from using convolutional LSTM). Donor: SENACYT. PL

 2016-2020, Atlas for Climate change analysis from Meteorological variables for the Dominican Republic Donor:
 INDRHI (Water ministry) and Pontificia Universidad Madre y Maestra. PL

 2016-2017, IGRAC-Platform Development, algorithms and python scripts for online time series forecasting of
 groundwater. Donor: IGRAC. PL

 2016-2017, Dam uncertainty, development of machine learning models for the analysis of real-time dam
 structures uncertainties from monitoring stress. Donor: Polygol. PL

 2015-2018, Engineering Informed Decision Making, Development of a knowledge platform to forecast and
 integrate real time information for the state of Nebraska in USA. Donor: US drought Doherty Foundation. PL

 2014-2020, DUPC-SDI, Smultistor, Optimal Reservouir operation and analysis of enviromental and agricultural
 systems, Donor: Dutch Government – Colombia. PL

 2020, IGRAC South African Spatial Data Infrastructure, Development of algorithms and scripts for online time
 series forecasting add in for Geonode. Donor:IGRAC PL

 2014-2018, DUPC-SDI, Development of UNESCO-IHE Spatial Data Infrastructure system, Donor: Dutch
 Government. PL

 2005-2009, Work package 3 researcher and administrator. Main topic: Safety against flood. Building Hybrid
 Hydrological and data driven models for operational forecasting systems. Donor: Delft Cluster

 2008-2009, Floodsite, Training and support on the creation of the platforms

 2009-2011, WATCH-EU, Work package 4, drought analysis and floods from global hydrological models

 2011-2012, CAP-NET, Cours on water reuse optimisation, Capacity building in Colombia,

 2013-2014, Climacol, Climate change analysis in the Magdalena (Colombia)

 2011-2012, LatinAqua, Latinoamerican network of water resources research

 2011-2012, Forecast Santa Catalina, Flow forecasting prototype design for the city of Monterrey in Mexico

 2013-2014, Kulturisk, Development of a knowledge platform and a database for flood risk management

 2014-2015, ICE Water, Development of an online system for sharing multimedia information

Academic activities
 Geo-statistics for space time analysis of extremes, the European Geoscience Union., Session Chair, (2012-2020)
Special Issue “Spatio-temporal and geostatistical analysis of hydrological events and related hazards”, Spatial
 Statistics, Elsevier, Guest Editor, 2017

 Special Issue "Spatiotemporal Data Analysis, Visualization, and Modelling in Water Resources", Marine Science
 and Engineering, MDPI, Guest Editor, 2020

 Hydrological Sciences Journal, IAHS, Taylor and Francis., Reviewer since, 2007

 Journal of Hydrology, Elsevier., Reviewer since, 2007

 Hydrological and Earth Science System (HESS), EGU., Reviewer since, 2008

 International Joint conference 0n Neural Networks, IEEE division on Computational Intelligence, Reviewer
 since, 2007

 Environmental software and Modeling, Elsevier., Reviewer, since 2007

Languages
 Spanish: Native

 English: Strong

 Dutch: Basic

ICT Skills
 Compilers: Pascal, Java, C++, Visual Basic and C

 Scripting languages: Python, MATLAB, R, Javascript, Php, VBA Script

 Developments environments: VSCode, GoogleCollab, Delphi, Borland, Visual Studio, MATLAB, RStudio,
 ANACONDA, SPYDER

 Other technologies: HTML, XML, COM/ACTIVEX. ISAPI, AJAX, Google KML

 Engineering Software: SOBEK, Delft 3d WQ, Mike Software (DHI), SWMM, EPANET, HECRAS

 Operating Systems: Windows, Linux (Ubuntu – Centos – Server Level), iOS

 Office tools: GDocs, MS Office, Prezi, Visio, Microsoft Project, others
Journal publications

 In 2019
   1. Dahm, R., Bhardwaj, A., Sperna Weiland, F., Corzo, G., & Bouwer, L. M. (2019). A
      Temperature-Scaling Approach for Projecting Changes in Short Duration Rainfall
      Extremes from GCM Data. Water, 11(2), 313.
                  a. Doi: https://doi.org/10.3390/w11020313
   2. Amaranto, A., Munoz-Arriola, F., Corzo, G., Solomatine, D. P., and Meyer, G., A
      Spatially enhanced data-driven multi-model to improve semi-seasonal
      groundwater forecasts in the High Plains aquifer, USA, Water Resources Research,
      2019
                   Doi: https://doi.org/10.1029/2018WR024301
   3. Alessandro Amaranto, Francesca Pianosi, Dimitri Solomatine, Gerald Corzo, Francisco
      Munoz-Arriola (2019). Sensitivity Analysis of Data-driven Groundwater Forecast to
      Hydroclimatic Controls in Irrigated Croplands. Hydrology and Earth System Sciences,
      under review.
                   Doi: https://doi.org/10.2166/hydro.2018.002
   4. E.A Varouchakis, D.T. Hristopulos, G.B.M., Heuvelink, G.A. Corzo Perez, "Spatio-
      temporal statistical methods for the analysis of hydrological events and related hazards".
      Spatial Statistics 34, 100387, 2019.
                   Doi: https://doi.org/10.1016/j.spasta.2019.100387
 In 2020

   1. Diaz, V., Corzo Perez, G. A., Van Lanen, H. A. J., Solomatine, D., & Varouchakis, E.
      A. (2020). Characterisation of the dynamics of past droughts. Science of the Total
      Environment, 718. https://doi.org/10.1016/j.scitotenv.2019.134588.
   2. Ritter, J., Corzo, G., Solomatine, D. P., & Angarita, H. (2020). Multiobjective Direct
      Policy Search Using Physically Based Operating Rules in Multireservoir Systems.
      Journal of Water Resources Planning and Management.
      https://doi.org/10.1061/(ASCE)WR.1943-5452.0001159
   3. Valles, J., Corzo, G., & Solomatine, D. (2020). Impact of the Mean Areal Rainfall
      Calculation on a Modular Rainfall-Runoff Model. Journal of Marine Science and
      Engineering, 8(12), 980. https://doi.org/10.3390/jmse8120980
   4. Amaranto, A., Pianosi, F., Solomatine, D., Corzo, G., & Muñoz-Arriola, F. (2020).
      Sensitivity analysis of data-driven groundwater forecasts to hydroclimatic controls in
      irrigated croplands. Journal of Hydrology, 587, 124957.
      https://doi.org/10.1016/j.jhydrol.2020.124957
   5. Laverde-Barajas, M., Corzo, G. A., Poortinga, A., Chishtie, F., Meechaiya, C.,
      Jayasinghe, S., ... & Solomatine, D. P. (2020). St-corabico: A spatiotemporal object-
      based bias correction method for storm prediction detected by satellite. Remote
      Sensing, 12(21), 3538. https://doi.org/10.3390/rs12213538
   6. Diaz, V., Perez, G. A. C., Van Lanen, H. A., Solomatine, D., & Varouchakis, E. A.
      (2020). An approach to characterise spatio-temporal drought dynamics. Advances in
      Water Resources, 137, 103512. https://doi.org/10.1016/j.advwatres.2020.103512
   7. Uribe, N., Srinivasan, R., Corzo, G., Arango, D., & Solomatine, D. (2020). Spatio-
      temporal critical source area patterns of runoff pollution from agricultural practices in
the Colombian Andes. Ecological Engineering, 149, 105810.
        https://doi.org/10.1016/j.ecoleng.2020.105810

In 2021
    1. Varouchakis, E. A., Hristopulos, D. T., Karatzas, G. P., Corzo Perez, G. A., & Diaz, V.
       (2021). Spatiotemporal geostatistical analysis of precipitation combining ground and
       satellite observations. Hydrology Research. https://doi.org/10.2166/nh.2021.160

Previous years
Corzo, G. and D. Solomatine. Knowledge-based modularization and global optimization of artificial neural
network models in hydrological forecasting. Journal of Neural Networks, 20:528–536, 2007.

Corzo, G. A. and D. P. Solomatine. Baseflow separation techniques for modular artificial neural networks
modelling in flow forecasting. Hydrological Sciences Journal, 52(3):491–507, 2007.

M. K. Akhtar, Corzo, G. A., S. J. van Andel, and A. Jonoski. River flow forecasting with artificial neural networks
using satellite observed precipitation pre-processed with flow length and travel time information: case study of the
ganges river basin. Hydrology and Earth System Sciences, 13(9):1607–1618, 2009.

Corzo G. A., Solomatine D. P., Hidayat, de Wit M., Werner M., Uhlenbrook S., and Price R. K. Combining semi-
distributed process-based and data-driven models in flow simulation: a case study of the meuse river basin.
Hydrology and Earth System Sciences, 13(9):1619–1634, 2009.

A. Elshorbagy, Corzo, G., S. Srinivasulu, and D. P. Solomatine. Experimental investigation of the predictive
capabilities of data driven modeling techniques in hydrology - part 1: Concepts and methodology. Hydrology and
Earth System Sciences, 14(10):1931–1941, 2010.

A. Elshorbagy, Corzo, G., S. Srinivasulu, and D. P. Solomatine. Experimental investigation of the predictive
capabilities of data driven modeling techniques in hydrology - part 2: Application. Hydrology and Earth System
Sciences, 14(10):1943–1961, 2010.

D. Love, S. Uhlenbrook, G. Corzo-Perez, and S. Twomlow. Rainfall-interception-evaporation-runoff relationships
in a semi-arid catchment, northern limpopo basin, zimbabwe. Hydrological Sciences Journal, 55(5), 2010.

K. Kuntiyawichai, B. Schultz, S. Uhlenbrook, F.X. Suriyadi, and Corzo Perez, G. A. Comprehensive flood
mitigation and management in the chi river basin, thailand. Lowland Technology International, 13(1):10–18,
2011.

Corzo Perez, G. A., M. H. J. van Huijgevoort, F. Voß, and H. A. J. van Lanen. On the spatio-temporal analysis of
hydrological droughts from global hydrological models. Hydrology and Earth System Sciences Discussions,
8(1):619–652, 2011

Hong Li, Gerald A. Corzo Perez, Carlos A. Martinez, Arthur E. Mynett. (2013) Self-Learning Cellular Automata
for Forecasting Precipitation from Radar Images. Journal of Hydrologic Engineering 18, 206-211. Online
publication date: 1-Feb-2013.

Minaya V., Corzo G., Romero, H., van der Kwast J., Latinga, E., Mynett A. (2014) Altitudinal analysis of carbon
stocks in the Antisana páramo, Ecuadorian Andes.Journal of Plant Ecology 9 (2016)5. - ISSN 1752-9921 - p. 553
- 563.

Minaya V., Corzo G., van der Kwast J., Galarraga-Sanchez, R., Mynett A. (2014) Classification and multivariate
error analysis of gross primary production simulation with BIOME-BGC in the páramos; Ecuadorian Andean
Region. Revista de Matemática Teoría y Aplicaciones, Print version ISSN 1409-2433

Minaya V., Corzo G., van der Kwast J., Galarraga-Sanchez, R., Mynett A, Simulating gross primary production
and stand hydrological processes of páramo grasslands in the Ecuadorian Andean Region using the BIOME-BGC
model, Soil Science: July 2016 - Volume 181 - Issue 7 - p 335–346, doi: 10.1097/SS.0000000000000154

Varouchakis, Emmanouil A.; Spanoudaki, Katerina; Hristopulos, Dionissios T.; Karatzas, George P.; Corzo
Perez, Gerald A, Stochastic Modeling of Aquifer Level Temporal Fluctuations Based on the Conceptual Basis of
the Soil-Water Balance Equation, June 2016 - Volume 181 - Issue 6 - p 224–231, doi:
10.1097/SS.0000000000000157

Veronica Minaya and Gerald A. Corzo and Dimitri P. Solomatine and Arthur E. Mynett, Data-driven techniques
for modelling the gross primary production of the páramo vegetation using climate data: Application in the
Ecuadorian Andean region, 2016, pg 1574-9541, Ecological Informatics

Moura Mikhaeil, Gerald Corzo, Islam Abou El-Magd, Model-based evaluation of structural measures impact on
the inundation area of Wadi driven flash floods, Volume 03 Issue 08 (August 2016)

Joanne Craven, Hector Angarita, G.A. Corzo Perez, Daniel Vasquez, Development and testing of a river basin
management simulation game for integrated management of the Magdalena-Cauca river basin, Environmental
Modelling & Software, Volume 90, April 2017, Pages 78-88, ISSN 1364-8152,
http://dx.doi.org/10.1016/j.envsoft.2017.01.002.

Reem F. Digna, Y. A. Mohamed, P. van der Zaag, S. Uhlenbrook, and G. A. Corzo, (2017) Nile River Basin
modelling for water resources management - a literature review, International Journal Of River Basin
Management Vol. 15, Iss. 1,2017

A Jeuken, L Bouaziz, G Corzo, L Alfonso (2016). Analyzing Needs for Climate Change Adaptation in the
Magdalena River Basin in Colombia. Journal of Climate Change Adaptation, Resilience and Hazards, 329-344

Impact of Water Resources Development on Water Availability for Hydropower Production and Irrigated
Agriculture of the Eastern Nile Basin Reem F. Digna; Yasir A. Mohamed; Pieter van der Zaag; Stefan
Uhlenbrook; Wil van der Krogt; and Gerald Corzo (2018). Volume 144 Issue 5 - May 2018

Spatio-temporal analysis of annual rainfall in Crete, Greece, Varouchakis, E.A., Corzo, G.A., Karatzas, G.P. et al.
Acta Geophys. (2018). https://doi.org/10.1007/s11600-018-0128-z

Spatiotemporal Hydrological Analysis, Corzo PGA, Diaz V, Laverde M (2018) Spatiotemporal Hydrological
Analysis. Int J Hydro 2(1): 00045. DOI: 10.15406/ijh.2018.02.00045

Digna, R.F.; Castro-Gama, M.E.; van der Zaag, P.; Mohamed, Y.A.; Corzo, G.; Uhlenbrook, S. Optimal
Operation of the Eastern Nile System Using Genetic Algorithm, and Benefits Distribution of Water Resources
Development. Water 2018, 10, 921.

Yalina Montecelos-Zamora, Tereza Cavazos, Thomas Kretzschmar, Enrique R. Vivoni, Eugenio Molina-Navarro,
Gerald Corzo (2018). Hydrological Modelling of Climate Change Impacts in a Tropical River, Basin: A Case
Study of the Cauto River, Cuba. Water 2018, In press.

Uribe, N., Corzo, G., Quintero, M., van Griensven, A., & Solomatine, D. (2018). Impact of conservation
tillage on nitrogen and phosphorus runoff losses in a potato crop system in Fuquene watershed,
Colombia. Agricultural Water Management, 209, 62-72.

Amaranto, A., Munoz-Arriola, F., Corzo, G., Solomatine, D. P., and Meyer, G. (2018). Semi-seasonal
groundwater forecast,using multiple data-driven models in an irrigated cropland. Journal of
Hydroinformatics, jh2018002.

    1.

Conference publications
 D. P. Solomatine and Corzo, G. A. Learning hydrologic flow separation algorithm and local ann committee
 modelling. In IJCNN 06. International Joint Conference on Neural Networks, pages 5104 – 5109, Vancouver,
 2006.

 Corzo, G. A. and D. P. Solomatine. Optimization of base flow separation algorithm for modular data-driven
 hydrologic models. In 7th International Conference on Hydroinformatics, Nice, FRANCE, 2006. Research
 Publishing Services.

 Corzo, G. A. and Hong Li. Ensemble of model trees and neural network for forecasting models. In IJCNN 07.
 International Joint Conference on Neural Networks, pages Poster presentation - International competence on
 forecasting, Orlando, USA, 2007.

 Corzo, G. A., A. Jonoski, G. Yimer, Y. Xuan, and D. Solomatine. Downscaling global climate models using
 modular models and fuzzy committees. In SheiYui Liong, editor, 8th international conference on
 hydroinformatics, Concepcion Chile, 2009. World Scientific Publishing Company.

 D. Love, S. Uhlenbrook, G. Corzo-Perez, and S. Twomlow b. Semidistributed modelling of rainfallrunoff
 relationships in a small semi-arid catchment, northern limpopo basin, zimbabwe. In UNESCO/WMO Small Basin
 Workshop, Goslar Hahnenklee, Germany, March 2009.

 K. Kuntiyawichai, B. Schultz, S. Uhlenbrook, F.X. Suriyadi, and G. Corzo. Comprehensive flood mitigation and
 management in the chi river basin, thailand. In International Symposium on Lowland Technology (ISLT 2010),
 Theme: Water/Environmental Engineering, Sept, 2010.

 H Li, C Martinez, Corzo G.A., and A. Mynnet. Selflearning cellular automata for forecasting precipitation from
 radar images. In SheiYui Liong, editor, 9th international conference on hydroinformatics, Tianjin China, Sept,
 2010. World Scientific Publishing Company.

 Corzo, G. A., W Barreto, D. Love, and S Uhlenbrook. Hbvx: A semidistributed hydrological modelling tool with
 multicriteria calibration. In SheiYui Liong, editor, 9th international conference in hydroinformatics, Tianjin
 China, Sept, 2010. World Scientific Publishing Company.

 M Laverde-Barajas, A Pedrozo Acuña, A Breña-Naranjo & G Corzo-Perez, The rolde of hydrological
 uncertainties in flood risk analysis: Tonala river, Mexico, ICFM6, 2014, DOI: 10.13140/2.1.4844.1600 ·

 S. S. Putra, G. A. Corzo Perez, S. van der Pijl, H. Kernkamp, A. van Dam and D. P. Solomatine, Measuring
 domain decomposition effect in estuary model parallelization using high performance computer, 2014 6th
 International Conference on Information Technology and Electrical Engineering (ICITEE), Yogyakarta, 2014, pp.
 1-6. doi: 10.1109/ICITEED.2014.7007908

 Diaz-Mercado V., Corzo G., Solomatine D. (2015). A framework for regional and global long-term and middle-
 term assessment of floods and droughts under an approach of computational intelligence linking Earth
 observation, global climate and hydrological models. Proc. of the 36th IAHR World Congress, The Hague, The
 Netherlands. ISBN 978-90-824846-0-1. http://89.31.100.18/~iahrpapers/97467.pdf
Spatio-temporal Analysis of Hydrological Drought at Catchment Scale Using a Spatially-distributed Hydrological
 Model, Vitali Diaz Mercado, Gerald Corzo Perez, Dimitri Solomatine, Henny A.J. van Lanen, Procedia
 Engineering, Volume 154, 2016, Pages 738-744, ISSN 1877-7058,
 http://dx.doi.org/10.1016/j.proeng.2016.07.577

 Meteorological Drought Forecasting Based on Climate Signals Using Artificial Neural Network – A Case Study
 in Khanhhoa Province Vietnam, Manh Hung Le, Gerald Corzo Perez, Dimitri Solomatine, Luong Bang Nguyen,
 Procedia Engineering, Volume 154, 2016, Pages 1169-1175, ISSN 1877-7058,
 http://dx.doi.org/10.1016/j.proeng.2016.07.528

 Diaz-Mercado V., Corzo G., van Lanen H.A.J., Solomatine D. (2016). Spatio-temporal analysis of large-scale
 meteorological drought: Helping to achieve the SDGs 6.A and 11.5. 12th Kovacs Colloquium, Paris, France.

 Manh Hung Le, Gerald Corzo Perez, Vicente Medina and Dimitri Solomatine,(2017), Studying the Impact of
 Infilling Techniques on Drought Estimation – a Case Study in the South Central Region of Vietnam, ICIST 2017
 paper 51

Books

 Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling technique,
 2009, ISBN: 9780415565974

 Hydrology and Best Practices for Managing Water Resources in Arid and Semi-Arid Lands, Chapter, Infrastructures for data
 in the context of flow forecasting using Artificial Neural Network model for Okavango River in Namibia, 2017, SBN13:
 9781522527190|ISBN10: 1522527192|EISBN13: 9781522527206|DOI: 10.4018/978-1-5225-2719-0

 Spatio-temporal Analysis of Extreme Hydrological Events, Elsevier, 2018, Paperback ISBN: 9780128116890

 Book chapters

          1. Vitali Diaz, Gerald A. Corzo Perez, Henny A.J. Van Lanen, Dimitri Solomatine, 2018,
             Spatio-temporal drought analysis at country scale through the application of the STAND
             toolbox, In: Spatiotemporal analysis of extreme rainfall events (Corzo and Varouchakis,
             eds.), ISBN 9780128116890, Chapter 4.
          2. M. Laverde-Barajas, G.A. Corzo Perez, B. Bhattacharya, R. Uijlenhoet, and D.P Solomatine,
             2018, In: Spatiotemporal analysis of extreme rainfall events (Corzo and Varouchakis, eds.),
             ISBN 9780128116890, Chapter 5.
          3. Diaz, V., Corzo, G., & Pérez, J. R. (2018). Large-Scale Exploratory Analysis of the
             Spatiotemporal Distribution of Climate Projections: Applying the STRIVIng Toolbox.
             In Spatiotemporal Analysis of Extreme Hydrological Events (pp. 59-76). Elsevier.
          4. Le, H. M., Corzo, G., Medina, V., Mercado, V. D., Nguyen, B. L., & Solomatine, D. P.
             (2018). A Comparison of Spatial–Temporal Scale Between Multiscalar Drought Indices in
             the South Central Region of Vietnam. In Spatiotemporal Analysis of Extreme Hydrological
             Events (pp. 143-169). Elsevier.
          5. Alvarez-Mieles, G., Corzo, G., & Mynett, A. E. (2018). Spatial and Temporal Variations′ of
             Habitat Suitability for Fish: A Case Study in Abras de Mantequilla Wetland, Ecuador.
             In Spatiotemporal Analysis of Extreme Hydrological Events (pp. 113-141). Elsevier.
6. M. Laverde-Barajas, G.A. Corzo Perez, B. Bhattacharya, R. Uijlenhoet, and D.P
            Solomatine (2018). Spatiotemporal object-based method for extreme rainfall events:
            characteristics and applications for satellite products. (Book chapter).
         7. Amutenya, J. T., & Perez, G. A. C. (2018). Infrastructures for Data in the Context of
            Flow Forecasting Using Artificial Neural Network Model for Okavango River in
            Namibia. In Hydrology and Best Practices for Managing Water Resources in Arid
            and Semi-Arid Lands (pp. 106-120). IGI Global.

MSc Supervision

 Anietie Okon, Development of a AI chatbot tool to guide Nigerian citizens in flood emergency situation. (2020-
 2021) IHE Delft Institute for Water education

 Camilo Andres Gonzales, Natural Processing language tool python code for a new semantic word algorithm in
 water resources (2020-2021). Case study of Bolivia. In Cooperation with the Stokholm Environmental Institute and
 IHE Delft Institute for Water Education.

 Hudson Ebadoni, A convolution LSTM forcasting algorithm for flash flood guidance in the Mekon river (2020-
 2021). In cooperation with the NASA-Servir program at the Asian Disaster preparedness center and the IHE Delft
 Institute for Water Education

 Victor Arcia, Deep learning for analysis spatiotermporal objects of rain and its relation to landslides (2020-2021).
 Case study in the Island of Ometepe in Nicaragua. In Cooperation with the National University of Nicaragua and
 IHE Delft Institute for Water Education

 Karel Sanchez, A platform for tracking drought patterns using Deep learning (2020-2021). Case study in Central
 America. IHE Delft Institute for Water Education

 Mubarak Mohammed, Spatiotemporal drought forecasting in the Amazon river basin using an ANN-MLP (2020-
 2021) IHE Delft Institute for Water Education

 Thaine Herman Assumpcao, Improvement of the Monte Carlo sampling technique integrated to Global Sensitivity
 Analysis, (2014), UNESCO-IHE, The Netherlands.

 Daniel Vazquez Vado, Data driven and hybrid techniques to predict the reservoir inflows; case study Itaipu., (2014),
 UNESCO-IHE, The Netherlands.

 Dibesh Shrestha, Refining ensemble Kalman Filtering for hydrological prediction using modular approach., (2014),
 UNESCO-IHE, The Netherlands.

 Jacobine Amunteya, Big data infrastructure for Namibia, linking data with models online ., (2014), UNESCO-IHE,
 The Netherlands.
Badruz Saman, Best management practice for the drainage system in Jakarta , (2013), UNESCO-IHE, The
Netherlands.

Hadush Kidane, Data driven models for flood forecasting in the Lezarde river basin (Martinique) ., (2013),
UNESCO-IHE, The Netherlands.

H. Hidayat, Application of Data-Driven Techniques in Semi-Distributed Hydrological Modelling., (2008),
UNESCO-IHE, The Netherlands.

Wen Jie, Multi-objective optimisation of reservoir operation,, (2011), North West University for Water Resources
and Electrical Power, China.

Roxana Fonseca, Innovative radar forecasting techniques using local and global information., (2013), Tecnologico
de Monterrey, Mexico.

Joanne Craven SimBasin: serious gaming for integrated water resource management in the Magdalena-Cauca basin,
(2015), University of Dresden , Germany.

Tom Ouden Flood risk assessment and modelling uncertainty relations using data-driven models ,          (2015),
Universidad de Barcelona, Spain.

Anahit Hobyan Prediction of Runoff in Ungauged Basins in Australia with Existing Online Analytical Tools:
Evaluation of Pentaho BI-BA with MySQL, (2015), UNESCO-IHE, The Netherlands.

Mora Yousef Investigation of Data Mining techniques in a context of Reservoir Operation, (2016), UNESCO-IHE,
The Netherlands.

Yousra Omer Elfaroug Mohammed Khair Exploring the Use of Earth Observation and Ground Station Precipitation
Data for Improving Meteorological Drought Monitoring in Mexico, Case Study: Guerrero State, (2016), UNESCO-
IHE, The Netherlands.

Meiline Harliana Siahaan Development of a Web-based Water Allocation Model: Case Study of Coello Basin,
Colombia, (2016), UNESCO-IHE, The Netherlands.

Marta Hidayat Web-based 1D Hydrodynamic Modelling: Case Study Papaloapan River, Mexico, (2016),
UNESCO-IHE, The Netherlands.

Francesca Caggiao Serious gaming as a tool for training and learning in the Momposina Depression, Colombia,
(2016), UNESCO-IHE, The Netherlands.

Josias Ritter Optimisation of hydropower dam cascade operations with respect to energy generation, flood hazard
and flow regime alteration using operational modelling, (2016), Universidad de Barcelona, Spain

Le Manh Hung Analysis of drought forecasting based on ENSO and PDO indices for a case study in Vietnam South
Central Region, (2016), Universidad de Barcelona, Spain.

Yogi Suardiwerianto An study of flash flood guidance models for Dominican Republic, (2017), UNESCO-IHE,
The Netherlands.
Jose Valles Leon Analysis of the spatial precipitation distribution impacts in the flow forecasting accuracy: case
study in Rio Lempa y Jiboa in Salvador, (2017), UNESCO-IHE, The Netherlands.

Cecilia Emanueli Gandara Exploring the abilities of deep learning for training hydrological flow forecasting
models, (2017), UNESCO-IHE, The Netherlands.

Yuan Zhuang Flow cytometer data analysis for identifying water quality variables: case study of Lake Taihu, China,
(2017), UNESCO-IHE, The Netherlands.

Rodrick Kunkwenzu Prediction of arch dam deformations using computational intelligence techniques: Case study
of Tsankov Kamak dam in Bulgaria, (2017), UNESCO-IHE, The Netherlands

Jason Ernest Evaluation of an online Flood Risk Management System for the Yuna River Basin Dominican
Republic, (2018), IHE Delft, The Netherlands.

Mengwei Chu Understanding Virtual Water Trade in the Middle East and North Africa Countries and Addressing
Implications for Water Resources Management, (2018), IHE Delft, The Netherlands.

Joel Cantu Guerrero Big data analysis to understand the interaction of irrigation and groundwater levels on a real
time online system in Nebraska, USA., (2018), IHE Delft, The Netherlands.

Mostafa Farrag Developing ensemble forecasting capabilities in Jiboa Catchment Case study: Jiboa Catchment in
El Salvador, (2018), IHE Delft, The Netherlands.

Ahmed Abdelmoneim Ahmed Osman Data-driven model to predict crop yield loss as consequence of
meteorological drought using ENSO and historical data Case Study of India, (2018), IHE Delft, The Netherlands.

Freddy Santiago Duarte Prieto Chaos theory applied to downscaling weather information into
hydrological models, (2017), Escuela Colombiana de Ingenieria J.G., Colombia.

Ximena Lemaitre Development of a software for water distrubution and management, (2018), Escuela
Colombiana de Ingenieria J.G., Colombia.

Nicolas Antonio Lopez Rozo Metodología para la separación espacial de zonas en una cuenca hidrológica
según su respuesta ante eventos extremos, (2018), Escuela Colombiana de Ingenieria JG, Colombia.

Yessica Alejandea Rodriguez Belasquez Metodología para la separación espacial de zonas en una cuenca
hidrológica según su respuesta ante eventos extremos, (2018), Escuela Colombiana de Ingenieria JG,
Colombia.

Dianah Nassaira, Modeling Flood Nature based solutions using Hydrological models (2019), , IHE Delft,
The Netherlands.

Shamdipa Rai, Serious gaming for Water Resources in Bagmati river basin, (2019), IHE Delft, The
Netherlands.

Carlos Tami, Indirect analysis of operational rules in reservours using ANN (Yuna River in Dom. Rep.),
(2019), Escuela Colombiana de Ingenieria JG, Colombia.
Danilo Rodriguez Correa, Learning from hydrodynamic models about morphological changes in
 Zapayan, Colombia, (2020), IHE Delft, The Netherlands.

 Fabio Aguilar Carrillo, Analysis of drought indexes in the context of spatiotemporal analysis, (2020),
 Escuela Colombiana de Ingenieria JG, Colombia

 Juan Manuel Palma Cotrino, Sensitivity analysis of hydrological variables in the measuremten and
 characterisation of spatiotemporal drought, (2020), Escuela Colombiana de Ingenieria JG, Colombia

 Alban Doko, Integration of global rainfall data for hydrological forecasting in albanian river catchments,
 (2020) , IHE Delft, The Netherlands.

 Jordi Palacios, 2D HD model comparison of Particle transport patterns in the río la Miel in Colombia,
 (2020), Escuela Colombiana de Ingenieria JG, Colombia

PhD Supervision and Co-promotion

 Freddy Santiago Duarte Prieto, Machine learning and AI in spatiotemporal tracking of anomalies in Nexus Water-
 Food and Energy systems, (2020-2024), Tec. Univ. of Delft and IHE-Delft Institute for Water Education, The
 Netherlands

 Enya Enriquez, An intelligent combined AI and citizens science approach to determine river health (2021-2025).
 Tec. Univ. of Delft and IHE-Delft Institute for Water Education, The Netherlands

 Alessandro Amaranto, Data-driven models to improve spatiotemporal monitoring and forecasting of water levels
 for Nebraska, (2016-2019), UNESCO-IHE and University of Nebraska Lincoln, US

 Miguel Angel Laverde, Spatiotemporal uncertainty analysis in a cascade of hydrological and hydrodynamic models
 for flood risk analysis, (2015-2020), Tec. Univ. of Delft and IHE-Delft Institute for Water Education, The
 Netherlands

 Vitali Diaz Mercado, Global hydrological analysis of extreme hydrological events, (2015-2020), Tec. Univ. of
 Delft and IHE-Delft Institute for Water Education, The Netherlands

 Chen Wang, Smart Serious gaming for Tacit knowledge acquisition and sharing in Sponge Cities, (2020-2024),
 Tec. Univ. of Delft and IHE-Delft Institute for Water Education, The Netherlands

 Natalia Uribe, Spatiotemporal optimisation of best management practices for assessing multiobjective impacts of
 climate change scenarios, (2016-2020), Tec. Univ. of Delft and UNESCO-IHE, The Netherlands

 Ana Maria Paez, Drought patterns dynamics from global observations, (2018-2022), Tec. Univ. of Delft and IHE-
 Delft Institute for Water Education, The Netherlands

 Nguyen Huy, Spatiotemporal urban flood risk and health modelling in Can Tho city, Ninh Kieu District. (2021-
 2022)

 Veronica Minaya, Multi-scale analysis of hydrological models for assessing water stress due to climate change in
 the Ecuatorian Paramos., (2013-2017), Tec. Univ. of Delft and UNESCO-IHE, The Netherlands
Ornella Sosa, Multi-objective optimisation and computational modelling of microbial desalination cells., (2011-
2015), Tecnologico de Monterrey, Mexico

Reem F.M.O. Digna, On optimising the operation of the multi-reservoir system in the Eastern Nile basin considering
water and sediment fluxes, (2015-2019), Tec. Univ. of Delft and UNESCO-IHE, The Netherlands

Ricardo da Silva Manca, Multi-objective and multicriteria analysis for urban water systems for the city of Sao
Paulo, (2011-2015), UNICAMP, Brasil

Jose del Castillo, Downscaling precipitation methods to assess engineering uncertainties, (2017-2020), Tecnologico
de Monterrey, Mexico

Yalina Montemorelos, Hydrological analysis of climate change impacts in Mexico and Cuba, (2017-2019),
CISESE, Mexico

Juan Carlos Ramirez Muñoz, Analysis of fast floods from small regions in agricultural fields, (2017-2020),
Universidad de Veracruz, Mexico

Teaching track record

From 2000-2003 Lecturer in Maths, mainly on topics of Calculus I and II, Numerical Methods and Partial
Differential Equations, Universidad Francisco de Paula Santander, Cucuta, Colombia

From 2005 Sept -2009 Sept Lecturer o IT, and in the topics of databases, and support to the Hydrology workshops.
IHE Delft Institute for Water Esucations, Delft, The Netherlands

From 2011 june to Dece 2012, Lecturing on Remote sensing and Programing

From 2013 april to now, Lecturer on ICT in the topics of Programing, Computer Architecture and Web
development. Lecturer in Uncertainty analysis and Mathematical modelling.
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