Join us to support HDCRS and share your work

By becoming a member you will join an interdisciplinary community which is specialized on high-performance and disruptive computing systems and algorithms for solving data-intensive applications from remote sensing. Help us to disseminate information and knowledge through this website and promote with us your events and publication activities.

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Benefits

Be up to date on activities organized by HDCRS

Summer schools, workshops, special session tutorials at conferences and special issues.

Strong community of experts

Keep in touch with Interdisciplinary researchers specialized in high-performance and disruptive computing systems and algorithms

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Meet

The Chairs

Dr Gabriele Cavallaro, PhD. Deputy head high productivity data processing, Juelich Supercomputing Center

Dr. Gabriele Cavallaro

Bio

Gabriele Cavallaro received the B.Sc. and M.Sc. degrees in telecommunications engineering from the University of Trento, Italy, in 2011 and 2013, respectively, and the Ph.D. degree in electrical and computer engineering from the University of Iceland, Iceland, in 2016. He is currently the deputy head of the ‘‘High Productivity Data Processing’’ (HPDP) research group at the Jülich Supercomputing Centre, Germany.  

He was the recipient of the IEEE GRSS Third Prize in the Student Paper Competition of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015 (Milan - Italy). His research interests cover remote sensing data processing with parallel machine learning algorithms that scale on high performance and distributed systems. He serves on the scientific committees of several international conferences and he is a referee for numerous international journals. Since 2019 he gives lectures on scalable machine learning for remote sensing big data at the Institute of Geodesy and Geoinformation, University of Bonn, Germany.

Professor Dora Blanco Heras, University Santiago de Compostella

Prof. Dora Blanco Heras

Bio

Dora B. Heras is an associate professor in the Department of Electronics and Computer Engineering at the University of Santiago de Compostela (Spain) where she leads the hyperspectral computing group. She received a MS in Physics in 1993 and was awarded a PhD cum laude from this university. In the period from 2005 to 2010 she was appointed as the head of the Sustainable Development Office at this university. Since 2008 she is also with the research centre CiTIUS (Centro de Investigación en Tecnoloxías Intelixentes) and has received the accreditation as full professor in 2020.

Her research contributions cover a range of topics in the combined fields of image processing, remote sensing, machine learning and high performance computing. In particular, she has published many papers on high performance computing, registration, classification, domain adaptation and change detection applied to remotely sensed multi and hyperspectral images. These publications have appeared in top-ranked journals and conferences. She participated in the organization of different international conferences, in particular, the Euromicro 2021 Parallel and Distributed Conference. She is also a member of the Euro-Par conference Steering Committee since 2018 and has acted as co-chair of the co-located workshops for all the editions since 2017.

Professor Zebin Wu, Nanjing University of Science and Technology

Prof. Zebin Wu

Bio

Zebin Wu received the B.Sc. degree in 2003, and the Ph.D. degree in 2007, all in computer science and technology, from Nanjing University of Science and Technology. He is currently the Professor with the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China. He was a Visiting Scholar with the GIPSA-lab, Grenoble INP, the Univ. Grenoble Alpes, Grenoble, France, from August 2018 to September 2018. He was a visiting scholar with the Department of Mathematics, University of California Los Angeles, CA, from August 2016 to September 2016, and from July 2017 to August 2017. He was a visiting scholar with the Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Politécnica, University of Extremadura, Cáceres, Spain, from June 2014 to June 2015.

His research interests include hyperspectral image processing, parallel computing, and remotely sensed big data processing. Prof. Wu is currently the principal investigator (PI) of 3 projects, funded by National/Provincial Natural Science Foundation of China. He also coordinated more than 6 scientific research projects, supported by Chinese Ministry of Science and Technology, NSFC, and so on. Prof. Wu received the 2018 Young Teachers Award in Colleges and Universities of Henry Fok Education Foundation. He has authored 76 publications, including 30 JCR journal papers (22 in IEEE journals), and over 31 peer-reviewed conference proceeding papers (25 in IEEE conferences). He served as the Vice Chair of IEEE GRSS Nanjing Chapter during 2016-2020. He received the Best Reviewers of the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS). He is currently serves as the Associate Editor of IEEE JSTARS, and the Chair of IEEE GRSS Nanjing Chapter.

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By becoming a member of HDCRS, you also become a member of the GRSS Technical Committee Earth Science Informatics (ESI). The ESI sends out a periodical newsletter and your name will also be listed on the ESI webpage.

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All current

Members

ARIF
,
Mohammad
Central University of Jharkhand
Remote sensing, GIS, Statistics
Aati
,
Saif
Caltech
Photogrammetry , image geometry
Abubakar
,
Ghali Abdullahi
Zhejiang University
Remote Sensing
Bernabé
,
Sergio
Complutense University of Madrid
Parallel Computing, GPU programming, Hyperspectral Images
Bleier
,
Alan
Cornell University
Image processing, Nanotechnology, Electron beam lithography
Casterline
,
May
NVIDIA
accelerated geospatial computing
Cavallaro
,
Gabriele
Forschungszentrum Jülich
High Performance Computing, Machine Learning, Deep Learning
Chen
,
Thomas
Academy for Mathematics, Science, and Engineering
Earth observation, machine learning, computer vision
Datcu
,
Mihai
DLR
Quantum Computing, Deep Learning, Big Data Mining
De
,
Shaunak
Capella Space
Deep Learning, SAR, Polarimetry
Gawron
,
Piotr
AstroCeNT
quantum computing, machine learning
Girgin
,
Serkan
University of Twente
Geospatial Computing Platforms, Big Geospatial Data, Risk Assessment
Gupta
,
Sharad
Punjab Remote Sensing Centre
Remote Sensing; Machine Learning; Natural Hazards
Heras
,
Dora Blanco
University of Santiago de Compostela
High Performance Computing, GPU computing, Real-Time Processing
Imperatore
,
Pasquale
IREA - National Research Council (CNR)
High Performance Computing, SAR processing, parallel algorithms
Kumar
,
Ravinder
Higher Education Department of Haryana, India
Wetland, Biogeography, GIS
Le Moignes
,
Jacqueline
NASA
Parallel Computing, Reconfigurable Computing, High Performance Computing
Le Saux
,
Bertrand
ESA
Big Data in Earth Observation, Machine Learning, Computer Vision
Lee
,
Tsengdar
NASA
modeling, computing, remote-sensing
Lopez
,
Sebastian
University of Las Palmas de Gran Canaria
FPGAs, Real-Time Systems, Hyperspectral Imaging
Lunga
,
Dalton
Oak Ridge National Laboratory
Machine Learning, High Performance Computing, Computer Vision
Masayi
,
Nelly
Kibabii University
Geography, Spatial Analysis, Land Use/Land cover changes
Maskey
,
Manil
NASA
Cloud Computing, Computer Vision, Data Analytics
Mathieu
,
Pierre-Philippe
ESA
Earth Observation, AI, Earth System
Panagou
,
Theodore
University of the Aegean
Computational Science, Remote Sensing, Oceanography
Percivall
,
George
GeoRoundtable
geoscience computing standards
Plaza
,
Antonio
University of Extremadura
Parallel Computing, GPU Programming, Hyperspectral imaging
Quesada Barriuso
,
Pablo
University of Santiago de Compostela
High Performance Computing, GPU computing, Real-Time Processing
Riedel
,
Morris
University of Iceland
High Performance Computing, Machine Learning, Data Mining
Robila
,
Stefan
Montclair State University
hyerspectral images, high performance computing, data and software cyberinfrastructure
Sayyad
,
Shafiyoddin
Milliya College, Beed, India
Microwave Remote Sensing, Hyperspectral Remote Sensing
Sebastianelli
,
Alessandro
University of Sannio
Earth Observation, Artificial Intelligence
Sedona
,
Rocco
Forschungszentrum Jülich
Remote Sensing, Distributed Deep Learning, High Performance Computing
Setiadi
,
Bambang
Indonesian Institute of Sciences
Synthetic Aperture Radar, Remote Sensing, HPC
Sharma
,
Surbhi
Forschungszentrum Jülich
Remote Sensing, High Performance Computing, Deep Learning
Shinde
,
Rajat
IIT Bombay
Embedded High Performce Computing, LiDAR processing
Silwal
,
Abinash
Kathmandu University
GIS, Remote Sensing, Surveying
Singh
,
Rishabh
Remote Sensing Application Centre - U.P
Remote Sensing and GIS
Spiller
,
Dario
Italian Space Agency
Earth Observation, Artificial Intelligence
Suárez Garea
,
Jorge Alberto
University of Santiago de Compostela
Domain Adaptation, Classification, Hyperspectral Imagery
Ullo
,
Silvia Liberata
University of Sannio
satellite image processing, machine learning algorithms, quantum computing applied to remote sensing (beginning)
Velez-Reyes
,
Miguel
The University of Texas at El Paso
Hyperspectral and multispectral remote sensing, machine learning, data science
Werner
,
Martin
Technical University of Munich
Big Data, Special Hardware Computing, Algorithms
Wu
,
Zebin
Nanjing University of Science and Technology
High Performance Computing, Hyperspectral Image Processing, Image Fusion
Yang
,
Lexie
Oak Ridge National Laboratory
High Performance Computing, machine learning, UAVs
Yu
,
Le
Tsinghua University
Land cover and land use change, Remote Sensing, Big Data
Zakharov
,
Igor
C-CORE
remote sensing, analytics
ARIF
Mohammad
Central University of Jharkhand
arifaligs@gmail.com
Remote sensing, GIS, Statistics
Aati
Saif
Caltech
saif@caltech.edu
Photogrammetry , image geometry
Abubakar
Ghali Abdullahi
Zhejiang University
ghaliaa@zju.edu.cn
Remote Sensing
Bernabé
Sergio
Complutense University of Madrid
sebernab@ucm.es
Parallel Computing, GPU programming, Hyperspectral Images
Bleier
Alan
Cornell University
Image processing, Nanotechnology, Electron beam lithography
Casterline
May
NVIDIA
mcasterline@nvidia.com
accelerated geospatial computing
Cavallaro
Gabriele
Forschungszentrum Jülich
g.cavallaro@fz-juelich.de
High Performance Computing, Machine Learning, Deep Learning
Chen
Thomas
Academy for Mathematics, Science, and Engineering
thomaschen7@acm.org
Earth observation, machine learning, computer vision
Datcu
Mihai
DLR
mihai.datcu@dlr.de
Quantum Computing, Deep Learning, Big Data Mining
De
Shaunak
Capella Space
shaunak.de@ieee.org
Deep Learning, SAR, Polarimetry
Gawron
Piotr
AstroCeNT
gawron@camk.edu.pl
quantum computing, machine learning
Girgin
Serkan
University of Twente
Geospatial Computing Platforms, Big Geospatial Data, Risk Assessment
Gupta
Sharad
Punjab Remote Sensing Centre
sharad.prsc@gmail.com
Remote Sensing; Machine Learning; Natural Hazards
Heras
Dora Blanco
University of Santiago de Compostela
dora.blanco@usc.es
High Performance Computing, GPU computing, Real-Time Processing
Imperatore
Pasquale
IREA - National Research Council (CNR)
imperatore.p@irea.cnr.it
High Performance Computing, SAR processing, parallel algorithms
Kumar
Ravinder
Higher Education Department of Haryana, India
sheorangeo@gmail.com
Wetland, Biogeography, GIS
Le Moignes
Jacqueline
NASA
jacqueline.j.lemoigne-stewart@nasa.gov
Parallel Computing, Reconfigurable Computing, High Performance Computing
Le Saux
Bertrand
ESA
Bertrand.Le.Saux@esa.int
Big Data in Earth Observation, Machine Learning, Computer Vision
Lee
Tsengdar
NASA
tsengdar.j.lee@nasa.gov
modeling, computing, remote-sensing
Lopez
Sebastian
University of Las Palmas de Gran Canaria
seblopez@iuma.ulpgc.es
FPGAs, Real-Time Systems, Hyperspectral Imaging
Lunga
Dalton
Oak Ridge National Laboratory
lungadd@ornl.gov
Machine Learning, High Performance Computing, Computer Vision
Masayi
Nelly
Kibabii University
nellymasayi05@gmail.com
Geography, Spatial Analysis, Land Use/Land cover changes
Maskey
Manil
NASA
manil.maskey@nasa.gov
Cloud Computing, Computer Vision, Data Analytics
Mathieu
Pierre-Philippe
ESA
pierre.philippe.mathieu@esa.int
Earth Observation, AI, Earth System
Panagou
Theodore
University of the Aegean
tgpanagou@yahoo.com
Computational Science, Remote Sensing, Oceanography
Percivall
George
GeoRoundtable
percivall@ieee.org
geoscience computing standards
Plaza
Antonio
University of Extremadura
aplaza@unex.es
Parallel Computing, GPU Programming, Hyperspectral imaging
Quesada Barriuso
Pablo
University of Santiago de Compostela
pablo.quesada@usc.es
High Performance Computing, GPU computing, Real-Time Processing
Riedel
Morris
University of Iceland
morris@hi.is
High Performance Computing, Machine Learning, Data Mining
Robila
Stefan
Montclair State University
robilas@mail.montclair.edu
hyerspectral images, high performance computing, data and software cyberinfrastructure
Sayyad
Shafiyoddin
Milliya College, Beed, India
syedsb@rediffmail.com
Microwave Remote Sensing, Hyperspectral Remote Sensing
Sebastianelli
Alessandro
University of Sannio
sebastianelli@unisannio.it
Earth Observation, Artificial Intelligence
Sedona
Rocco
Forschungszentrum Jülich
r.sedona@fz-juelich.de
Remote Sensing, Distributed Deep Learning, High Performance Computing
Setiadi
Bambang
Indonesian Institute of Sciences
bambang.setiadi@gmail.com
Synthetic Aperture Radar, Remote Sensing, HPC
Sharma
Surbhi
Forschungszentrum Jülich
surbhisharma29018@gmail.com
Remote Sensing, High Performance Computing, Deep Learning
Shinde
Rajat
IIT Bombay
rajatshinde@iitb.ac.in
Embedded High Performce Computing, LiDAR processing
Silwal
Abinash
Kathmandu University
afactor.abinash@gmail.com
GIS, Remote Sensing, Surveying
Singh
Rishabh
Remote Sensing Application Centre - U.P
er.rishabh.singh@outlook.com
Remote Sensing and GIS
Spiller
Dario
Italian Space Agency
dario.spiller@esa.int
Earth Observation, Artificial Intelligence
Suárez Garea
Jorge Alberto
University of Santiago de Compostela
albertosgarea@gmail.com
Domain Adaptation, Classification, Hyperspectral Imagery
Ullo
Silvia Liberata
University of Sannio
ullo@unisannio.it
satellite image processing, machine learning algorithms, quantum computing applied to remote sensing (beginning)
Velez-Reyes
Miguel
The University of Texas at El Paso
m.velez@ieee.org
Hyperspectral and multispectral remote sensing, machine learning, data science
Werner
Martin
Technical University of Munich
martin.werner@tum.de
Big Data, Special Hardware Computing, Algorithms
Wu
Zebin
Nanjing University of Science and Technology
wuzb@njust.edu.cn
High Performance Computing, Hyperspectral Image Processing, Image Fusion
Yang
Lexie
Oak Ridge National Laboratory
yangh@ornl.gov
High Performance Computing, machine learning, UAVs
Yu
Le
Tsinghua University
leyu@tsinghua.edu.cn
Land cover and land use change, Remote Sensing, Big Data
Zakharov
Igor
C-CORE
igor.zakharov@c-core.ca
remote sensing, analytics