Saied Pirasteh
Shaoxing Institute of Artificial Intelligence, Shaoxing University, University of Waterloo, Aligarh Muslim University, Southwest Jiaotong University
0000-0002-3177-037X
About
Saeid Pirasteh is a full professor of geomatics and geospatial artificial intelligence and Associate Dean of the Institute of Artificial Intelligence at Shaoxing University. He received the Ph.D. degree in geomatics from the University of Waterloo in 2018. His research interests include Geospatial Data Science and GeoAI, Remote Sensing and data processing, GIS and Geospatial information analysis and management for their novel applications in hazards & disasters beyond. He has co-authored and published over 250 papers, including top journals such as Int. J. Appl. Earth Obser. and Geoinformation, IEEE Trans. Geosci. and Remote Sens., GISciences and Remote Sens. and flagship conferences such as IGRASS and ISPRS. His publications have received 3293 Google Scholar Citations with an h-Index of 28. He is currently an expert member and Advisory Board of the United Nations Global Geospatial Information Management (UN-GGIM) Academic Network (2022-2024) and the Chair of the ISPRS ICWG III/IVa on Disaster Management (2022-2026). He has supervised and co-supervised nearly 60 master/Ph.D. students, postdoc fellows and visiting scholars. He is a recipient of several prestigious awards from IEEE, ISPRS, and FIG.
Employment
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Shaoxing Institute of Artificial Intelligence, Shaoxing University Professor and Associate Dean of International2023 - Present
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Southwest Jiaotong University Professor2019 - 2023
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University of Waterloo Scientist Research Collaborator2018 - Present
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Universiti Putra Malaysia Senior Researcher and Lecturer2008 - 2011
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Asian Institute of Technology Post doctoral and Fellow2005 - 2009
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Islamic Azad University Associate Professor2002 - 2008
Education
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University of Waterloo PhD2013 - 2018
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Aligarh Muslim University PhD/Dr2002 - 2004
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Aligarh Muslim University M.Sc1998 - 2000
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Aligarh Muslim University B.Sc1993 - 1998
Projects & Funding
Projects & funding information is unavailable.
Publications (75)
- An Integrated InSAR and Structural Investigation of Crustal Deformation from the 2017 Alghur Earthquake Save
- A hybrid algorithm for human interaction recognition from drone videos: experimental analysis to enhance disaster response and rescue Save
- TFST: Two-Frame Ship Tracking for SAR Using YOLOv12 and Feature-Based Matching Save
- Spatially explicit and interpretable GeoAI models for understanding factors controlling groundwater availability Save
- Lightweight semantic segmentation for Co-seismic landslide identification using adaptive transfer learning Save
- Fuzzy comprehensive three-level evaluation for deep learning classification targeting high-dimensional data Save
- A novel CNN-LSTM-Attention model to forecast flood susceptibility under global climate scenarios Save
- Impact of Extreme Climate Events on Community Planning and Flood Risk Management in Giant Panda National Park Save
- From local data to global risk maps: A geospatial generative pre-trained transformer framework for earthquake building vulnerability estimation Save
- Detecting and monitoring urban project development from space: an unsupervised learning model based on InSAR coherence time series Save