up

content/people/alumni/amparo_gil.md

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   img: amparo.webp
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-In my MSc Thesis I developed cortical image representations that are simultaneously robust to neural noise and energy efficient.
+When I was at ISP, in my MSc Thesis, I developed cortical image representations that are simultaneously robust to neural noise and energy efficient.

content/people/alumni/anna_mateo.md

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   linkedin: 'https://www.linkedin.com/in/anna-mateo-sanchis/'
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-I develop machine learning algorithms for crop yield estimation using multi-scale remote sensing and climate data, focusing on anomaly detection in crop seasons and improving model interpretability.
+When I was at ISP, I developed machine learning algorithms for crop yield estimation using multi-scale remote sensing and climate data, focusing on anomaly detection in crop seasons and improving model interpretability.

content/people/alumni/benyamin_kheradvar.md

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   img: Benyamin.webp
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-I am working on convolutional versions of linear + nonlinear models of visual neuroscience and using those in visual prosthesis and image quality metrics.
+When I was at ISP, I worked on convolutional versions of linear and nonlinear models of visual neuroscience and used those in visual prosthesis and image quality metrics.

content/people/alumni/borja_galan.md

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   img: borja.webp
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-I research interpretable and causal feature representations, working on causal inference in human-biosphere systems. Developing modules for interpretability and explainability in machine learning models for enhanced understanding.
+when I was at ISP, I researched interpretable and causal feature representations, focusing on causal inference in human-biosphere systems and developing modules for interpretability and explainability in machine learning models for enhanced understanding.

content/people/phd_students/dan_lopez.md → content/people/alumni/dan_lopez.md

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   linkedin: 'https://www.linkedin.com/in/dan-lópez-puigdollers-601630129/'
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-The main goal of my research is to develop automatic algorithms for the detection of clouds from remote sensing images. I mainly focus on the inclusion of prior knowledge and (spatial, temporal, angular) constraints in machine learning classifiers.
+When I was at ISP, the main goal of my research was to develop automatic algorithms for the detection of clouds from remote sensing images. I mainly focused on the inclusion of prior knowledge and (spatial, temporal, angular) constraints in machine learning classifiers.

content/people/alumni/daniel_heestermans.md

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-I am working on machine learning methods for remote sensing and earth observation data. My current focus is on kernel methods, and the incorporation of physical knowledge in statistical methods.
+when I was at ISP, I worked on machine learning methods for remote sensing and earth observation data. My focus was on kernel methods and the incorporation of physical knowledge into statistical methods.

content/people/alumni/devis_tuia.md

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   img: devis.webp
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-In my postdoc at the ISP group, I addressed a number of machine learning problems related to hyperspectral image processing including graph adaptation, active learning, and advanced kernel methods.
+In my postdoc at the ISP group, I addressed a number of machine learning problems related to hyperspectral image processing, including graph adaptation, active learning, and advanced kernel methods.

content/people/alumni/diego_bueso.md

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   github: 'https://github.com/DiegoBueso'
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-
-
-
-
-My research work is about machine learning and its application on remote sensing specifically in feature extraction and climate dynamics analysis. I am especially interested in soil moisture data analysis and climate teleconnections.
+When I was at ISP, my research work was about machine learning and its application to remote sensing, specifically in feature extraction and climate dynamics analysis. I was especially interested in soil moisture data analysis and climate teleconnections.

content/people/alumni/emma_izquierdo.md

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   img: emma.webp
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-My PhD work included kernel-based nonlinear generalization of classical (linear) feature extraction techniques to improve classification results in remote sensing.
+When I was at ISP, my PhD work included kernel-based nonlinear generalization of classical (linear) feature extraction techniques to improve classification results in remote sensing.

content/people/postdocs/eva_sevillano.md → content/people/alumni/eva_sevillano.md

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   linkedin: 'https://www.linkedin.com/in/eva-sevillano-marco/?originalSubdomain=es'
 ---
 
-ISP Coordination & Project Manager, specializing in Remote Sensing & GIS applications for forestry, agriculture, land cover, and geospatial data quality. Collaborates with outstanding research groups. Ready for new challenges!
+As ISP Coordination & Project Manager, I specialized in Remote Sensing & GIS applications for forestry, agriculture, land cover, and geospatial data quality. I collaborated with outstanding research groups and was ready for new challenges.

content/people/alumni/fatih_nar.md

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-During my IPL visit, I focused on processing optical images using kernel and variational methods, large-scale anomaly detection methods, and digital terrain model extraction. Enjoyed collaborating with IPL researchers.
+During my IPL visit, I focused on processing optical images using kernel and variational methods, large-scale anomaly detection methods, and digital terrain model extraction. I enjoyed collaborating with IPL researchers.

content/people/alumni/francesca_bovolo.md

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-My work at the ISP group included the analysis of multi-temporal remote sensing image changes, and the definition of advanced one-class classifiers.
+My work at the ISP group included the analysis of multi-temporal remote sensing image changes and the definition of advanced one-class classifiers.

content/people/alumni/gabriel_gomez.md

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-In my MSc work I applied accurate contrast perception models to improve Support Vector Regression in subjective domains for image coding.
+When I was at ISP, in my MSc work, I applied accurate contrast perception models to improve Support Vector Regression in subjective domains for image coding.

content/people/postdocs/gonzalo_garcia.md → content/people/alumni/gonzalo_garcia.md

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   website: 'http://www.uv.es/gonmagar/'
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-
-
-My research focuses on methane detection from multispectral and hyperspectral imagery. Previously, I researched machine learning for tasks like super-resolution, domain adaptation, change detection, cloud detection, and flood segmentation.
+When I was at ISP, my research focused on methane detection from multispectral and hyperspectral imagery. Previously, I researched machine learning for tasks such as super-resolution, domain adaptation, change detection, cloud detection, and flood segmentation.

content/people/alumni/helena_burriel.md

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   img: helena.webp
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-At ISP I built virtual worlds of controlled spatial arrangement to study the effects of occlusion, perspective and view point in 2D shape statistics.
+At ISP, I built virtual worlds of controlled spatial arrangement to study the effects of occlusion, perspective, and viewpoint in 2D shape statistics.

content/people/alumni/irene_epifanio.md

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-My PhD work (best-thesis award in Physics and Maths 2003) was focused on perceptual and statistical image representations for image coding and texture classification.
-
+When I was at ISP, my PhD work (best-thesis award in Physics and Maths 2003) focused on perceptual and statistical image representations for image coding and texture classification.

content/people/alumni/irene_martin.md

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   img: irene.webp
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-My interests include machine learning and signal processing, particularly deep neural networks and transfer learning, focusing on applying physical constraints to ML models for better generalization and extrapolation capabilities.
+When I was at ISP, my interests included machine learning and signal processing, particularly deep neural networks and transfer learning, focusing on applying physical constraints to ML models for better generalization and extrapolation capabilities.

content/people/alumni/jose_esteve.md

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+---
+date: '2024-05-10T05:29:29+02:00'
+draft: false
+title: 'José J. Esteve-Taboada'
+role: assistant professors
+params:
+  img: joseesteve.webp
+---
+
+when I was at ISP, I developed computational models of visual function based on functional Magnetic Resonance Imaging, psychophysics, and image statistics.

content/people/alumni/jose_padron.md

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   img: joseantonio.webp
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-My PhD thesis was about developing a new family of anomaly change detection algorithms for remote sensing image processing and geoscience time series analysis.
+When I was at ISP, my PhD thesis focused on developing a new family of anomaly change detection algorithms for remote sensing image processing and geoscience time series analysis.

content/people/alumni/jose_rovira.md

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-During my MSc work I contributed to develop nonlinear local-to-global Independent Component Analysis.
+When I was at ISP, during my MSc work, I contributed to the development of nonlinear local-to-global Independent Component Analysis.

content/people/alumni/juan_gutierrez.md

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-In my PhD I applied advanced contrast perception models as regularization functionals to solve inverse problems such as image restoration and motion estimation and studied their connection to image statistics.
+When I was at ISP, in my PhD, I applied advanced contrast perception models as regularization functionals to solve inverse problems such as image restoration and motion estimation and studied their connection to image statistics.

content/people/alumni/koray.md

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   img: koray2.webp
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-In my stay at IPL I addressed the problem of decoding the visual signals from simulated and real neural responses.
+During my stay at ISP, I addressed the problem of decoding the visual signals from simulated and real neural responses.

content/people/alumni/luca_martino.md

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-My research interests lie in Monte Carlo methods for Bayesian inference, focusing on the random number generation problem and computational methods for stochastic quadrature, such as rejection sampling and MCMC algorithms.
+While I was at ISP, my research interests lay in Monte Carlo methods for Bayesian inference, focusing on the random number generation problem and computational methods for stochastic quadrature, such as rejection sampling and MCMC algorithms.

content/people/alumni/manuel_taberner.md

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-I'm with the UVERS group, doing my PhD thesis on biophysical parameter retrieval for crop monitoring, in particular in the FP7 ERMES project, and collaborating with ISP people on GP retrieval algorithms.
+I worked with the UVERS group, conducting my PhD thesis on biophysical parameter retrieval for crop monitoring, particularly in the FP7 ERMES project, and collaborated with ISP people on GP retrieval algorithms.

content/people/alumni/mara_diez.md

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   img: mara2.webp
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-While I was at ISP, I was conducting fMRI recordings of the visual brain using synthetic and natural images. I was director of the Optometry Clinic of the Universitat de Valencia, which has a range of experimental tools for vision research.
+While at ISP, I conducted fMRI recordings of the visual brain using synthetic and natural images. I also directed the Optometry Clinic of the Universitat de Valencia, which had a range of experimental tools for vision research.

content/people/alumni/marcelo_armengot.md

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-During my stay at ISP I used with Kernel Ridge Regression for image denoising assuming smoothness in the spatial domain.
+During my stay at ISP, I used Kernel Ridge Regression for image denoising, assuming smoothness in the spatial domain.

content/people/alumni/marina_garcia.md

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   img: marina.webp
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-At IPL I've been working on computational visual neuroscience, modelling the processes that take place in the brain from the retinal images until we get information out of them.
+At ISP, I worked on computational visual neuroscience, modeling the processes that take place in the brain from retinal images to extracting information from them.

content/people/alumni/michele_ronco.md

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   img: michele.webp
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-I use explainable AI to understand deep neural networks, bridging physics-based and data-driven models. Also work on integrating prior knowledge into learning through optimized penalized losses or network modifications.
+While I was at ISP, I used explainable AI to understand deep neural networks, bridging physics-based and data-driven models. I also worked on integrating prior knowledge into learning through optimized penalized losses or network modifications.

content/people/postdocs/miguel_fernandez_torres.md → content/people/alumni/miguel_fernandez_torres.md

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   linkedin: 'https://www.linkedin.com/in/miguelangelft/?originalSubdomain=es'
   website: 'https://miguelangelft.github.io/'
 ---
-My research is related to the design of deep learning models and machine attention mechanisms to be deployed in anomaly and extreme event detection in the Earth sciences.
 
+While I was at ISP, my research focused on the design of deep learning models and machine attention mechanisms to be deployed in anomaly and extreme event detection in the Earth sciences.

content/people/alumni/qiang_li.md

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   img: Qiang_Li.webp
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-I worked on computational neuroscience via combined fMRI and image processing techniques to better understand the mechanism of the human vision system, which efficiently processes and extracts the information from the natural world.
+While I was at ISP, I worked on computational neuroscience via combined fMRI and image processing techniques to better understand the mechanisms of the human vision system, which efficiently processes and extracts information from the natural world.

content/people/alumni/qiang_wang.md

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   img: qiangwang.webp
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-My background and expertise is on microwave remote sensing for soil moisture estimation, and agricultural applications, from estimating crop health and soil properties.
+When I was at ISP, my background and expertise were in microwave remote sensing for soil moisture estimation and agricultural applications, including estimating crop health and soil properties.

content/people/alumni/sal_catsis.md

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   img: sal.webp
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-I'm working on causal discovery from observational data, and in particular to study climate-induced human migrations.
-
+When I was at ISP, I worked on causal discovery from observational data, particularly studying climate-induced human migrations.

content/people/alumni/sandra_jimenez.md

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   img: sandra.webp
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-In my PhD years (best-MSc thesis award in Computer Science 2013) I analyzed the complexity of spatio-spectral signals for illumination invariant Bayesian reflectance estimation and hyperspectral image coding.
+During my PhD years (best-MSc thesis award in Computer Science 2013) and while working at ISP, I analyzed the complexity of spatio-spectral signals for illumination-invariant Bayesian reflectance estimation and hyperspectral image coding.

content/people/alumni/soulivanh.md

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   img: photo_thao.webp
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-I research statistical methods for detecting and attributing climate change, focusing on extreme weather event attribution using observation analysis and climate model experiments to understand their impacts better.
+When I was at ISP, I researched statistical methods for detecting and attributing climate change, focusing on extreme weather event attribution using observation analysis and climate model experiments to better understand their impacts.

content/people/alumni/vicent_talens.md

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   img: vicent.webp
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-In my MSc thesis I worked with a Kernel generalization of the SSIM image quality index well suited to be applied to hyperspectral images.
+When I was at ISP, in my MSc thesis, I worked with a Kernel generalization of the SSIM image quality index, well-suited for application to hyperspectral images.

content/people/alumni/yolanda_navarro.md

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-In my MSc thesis I applied nonlinear models of chromatic contrast perception in wavelet domains to improve png2000.
+When I was at ISP, in my MSc thesis, I applied nonlinear models of chromatic contrast perception in wavelet domains to improve png2000.

content/people/visitors/alice_re.md

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   img: alice.webp
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-I am a PhD student at Politecnico di Torino, Italy. My research focuses on preventive coastal flood assessment and mapping. During my research visit I will work on coastal flood susceptibility integrating remote sensing, GIS and ML.
+During my PhD studies at Politecnico di Torino, Italy, my research focused on preventive coastal flood assessment and mapping. While visiting ISP, I worked on coastal flood susceptibility by integrating remote sensing, GIS, and ML.

content/people/visitors/chen_ma.md

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   youtube: https://www.youtube.com/watch?v=tWAKzcRY5YQ
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-PhD student in Harbin Institute of Technology, now visiting ISP. My research focuses on large foundation models and the processing of hyper/multi-spectral imagery.
+As a PhD student at Harbin Institute of Technology, I visited ISP, where my research focused on large foundation models and the processing of hyper/multi-spectral imagery.

content/people/visitors/fernando_iglesias.md

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-Research Associate at DLR, Ph.D. in Atmospheric Science, combining causal discovery and deep learning methods to address systematic errors in climate models and improve projections and understanding.
+While working as a Research Associate at DLR with a Ph.D. in Atmospheric Science, I combined causal discovery and deep learning methods to address systematic errors in climate models and improve projections and understanding. During my time at ISP, I contributed to advancing these methodologies.

content/people/visitors/francesco_martinuzzi.md

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-PhD student at  ScaDS.AI and RSC4Earth (Leipzig University), exploring nonlinear dynamics with machine learning, focusing on applications to Earth sciences.
+During my PhD studies at ScaDS.AI and RSC4Earth (Leipzig University), I explored nonlinear dynamics with machine learning, focusing on applications to Earth sciences. My visit to ISP allowed me to extend this research further in collaboration with their team.

content/people/visitors/ioannis_prapas.md

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-I'm a researcher at the Orion Lab, National Observatory of Athens and the University of Valencia. I am interested in Deep Learning for the Earth System sciences, aiming to improve fire prediction systems.
+As a researcher at the Orion Lab, National Observatory of Athens, and the University of Valencia, I worked on Deep Learning for the Earth System sciences. During my time at ISP, I aimed to improve fire prediction systems through innovative ML techniques.

content/people/visitors/jessenia_gonzalez.md

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-I am a PhD student at Leipzig University centered on understanding aerosol-cloud interactions directly from satellite observations using ML, bypassing the uncertainties inherent in traditional retrieval methods.
+During my PhD studies at Leipzig University, I focused on understanding aerosol-cloud interactions directly from satellite observations using ML. My visit to ISP enriched my research by addressing the uncertainties inherent in traditional retrieval methods.