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ORCIDSoroosh Sorooshian
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2020 – today
- 2022
[j18]Hossein Salehi
, Mojtaba Sadeghi, Saeed Golian, Phu Nguyen, Conor Murphy, Soroosh Sorooshian:
The Application of PERSIANN Family Datasets for Hydrological Modeling. Remote. Sens. 14(15): 3675 (2022)- 2021
- [j17]Soroosh Sorooshian:
One man, one vision, 35 years in the making. Comput. Aided Civ. Infrastructure Eng. 36(2): 125 (2021) - [j16]Yuhang Zhang, Aizhong Ye, Phu Nguyen, Bita Analui, Soroosh Sorooshian, Kuolin Hsu:
Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling. Remote. Sens. 13(16): 3061 (2021) - 2020
- [j15]Mojtaba Sadeghi, Phu Nguyen, Kuolin Hsu, Soroosh Sorooshian:
Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information. Environ. Model. Softw. 134: 104856 (2020) - [j14]Vesta Afzali Gorooh, Subodh Kalia, Phu Nguyen, Kuo-lin Hsu, Soroosh Sorooshian, Sangram Ganguly, Ramakrishna R. Nemani:
Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS. Remote. Sens. 12(2): 316 (2020) - [j13]Hamidreza Mosaffa, Mojtaba Sadeghi, Negin Hayatbini, Vesta Afzali Gorooh, Ata Akbari Asanjan, Phu Nguyen, Soroosh Sorooshian:
Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset. Remote. Sens. 12(10): 1584 (2020) - [j12]Pari-Sima Katiraie-Boroujerdy, Matin Rahnamay Naeini, Ata Akbari Asanjan, Ali Chavoshian, Kuo-lin Hsu, Soroosh Sorooshian:
Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran. Remote. Sens. 12(13): 2102 (2020) - [c5]Ata Akbari Asanjan, Kamalika Das, Alan S. Li, Ved Chirayath, Juan Torres-Perez, Soroosh Sorooshian:
Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps. KDD 2020: 2617-2624
2010 – 2019
- 2019
- [j11]Negin Hayatbini, Bailey Kong, Kuo-lin Hsu, Phu Nguyen, Soroosh Sorooshian, Graeme Stephens, Charless C. Fowlkes, Ramakrishna R. Nemani:
Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN. Remote. Sens. 11(19): 2193 (2019) - [j10]Mojtaba Sadeghi, Ata Akabri Asanjan, Mohammad Faridzad, Vesta Afzali Gorooh, Phu Nguyen, Kuolin Hsu, Soroosh Sorooshian, Dan Braithwaite:
Evaluation of PERSIANN-CDR Constructed Using GPCP V2.2 and V2.3 and A Comparison with TRMM 3B42 V7 and CPC Unified Gauge-Based Analysis in Global Scale. Remote. Sens. 11(23): 2755 (2019) - [c4]Scott L. Sellars, Joulien Tatar, Phu Nguyen, Eric Shearer, Soroosh Sorooshian, F. Martin Ralph, John Graham, Dmitry Mishin, Kyle Marcus, Ilkay Altintas, Thomas A. DeFanti, Larry Smarr, Camille Crittenden, Frank Würthwein:
The Evolution of Bits and Bottlenecks in a Scientific Workflow Trying to Keep Up with Technology: Accelerating 4D Image Segmentation Applied to NASA Data. eScience 2019: 77-85 - 2018
- [j9]Matin Rahnamay Naeini, Tiantian Yang, Mojtaba Sadegh, Amir Aghakouchak, Kuo-Lin Hsu, Soroosh Sorooshian, Qingyun Duan, Xiaohui Lei:
Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework. Environ. Model. Softw. 104: 215-235 (2018) - [i1]Negin Hayatbini, Kuo-lin Hsu, Soroosh Sorooshian, Yunji Zhang, Fuqing Zhang:
Effective Cloud Detection and Segmentation using a Gradient-Based Algorithm for Satellite Imagery; Application to improve PERSIANN-CCS. CoRR abs/1809.10801 (2018) - 2017
- [j8]Tiantian Yang, Ata Akabri Asanjan, Mohammad Faridzad, Negin Hayatbini, Xiaogang Gao, Soroosh Sorooshian:
An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis. Inf. Sci. 418: 302-316 (2017) - 2016
- [j7]Jingjing Li, Kuolin Hsu, Amir Aghakouchak, Soroosh Sorooshian:
Object-Based Assessment of Satellite Precipitation Products. Remote. Sens. 8(7): 547 (2016) - [c3]Yumeng Tao, Xiaogang Gao, Alexander Ihler, Kuolin Hsu, Soroosh Sorooshian:
Deep neural networks for precipitation estimation from remotely sensed information. CEC 2016: 1349-1355 - 2015
- [j6]Tiantian Yang, Xiaogang Gao, Scott Lee Sellars, Soroosh Sorooshian:
Improving the multi-objective evolutionary optimization algorithm for hydropower reservoir operations in the California Oroville-Thermalito complex. Environ. Model. Softw. 69: 262-279 (2015) - 2011
- [j5]Wei Chu, Xiaogang Gao, Soroosh Sorooshian:
Handling boundary constraints for particle swarm optimization in high-dimensional search space. Inf. Sci. 181(20): 4569-4581 (2011) - [j4]Wei Chu, Xiaogang Gao, Soroosh Sorooshian:
A new evolutionary search strategy for global optimization of high-dimensional problems. Inf. Sci. 181(22): 4909-4927 (2011) - [j3]Wei Chu, Xiaogang Gao, Soroosh Sorooshian:
A Solution to the Crucial Problem of Population Degeneration in High-Dimensional Evolutionary Optimization. IEEE Syst. J. 5(3): 362-373 (2011) - [c2]Wei Chu, Xiaogang Gao, Soroosh Sorooshian:
Fortify particle swam optimizer (PSO) with principal components analysis: A case study in improving bound-handling for optimizing high-dimensional and complex problems. IEEE Congress on Evolutionary Computation 2011: 1644-1648
1990 – 1999
- 1997
- [c1]Hoshin V. Gupta, Kuo-lin Hsu, Soroosh Sorooshian:
Superior training of artificial neural networks using weight-space partitioning. ICNN 1997: 1919-1923
1980 – 1989
- 1988
- [j2]Lov Kumar Kher, Soroosh Sorooshian:
A predictive demand model for systems planning, using noisy realization theory. Autom. 24(5): 671-676 (1988) - 1983
- [j1]Soroosh Sorooshian, M. H. Costin:
Large scale systems modelling: M. S. Mahmoud and M. G. Singh. Autom. 19(3): 351 (1983)
Coauthor Index
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