Large scale systems modelling: M. S. Mahmoud and M. G. Singh. - Soroosh Sorooshian; M. H. Costin (Autom., 1983)

A predictive demand model for systems planning, using noisy realization theory. - Lov Kumar Kher; Soroosh Sorooshian (Autom., 1988)

Superior training of artificial neural networks using weight-space partitioning. - Hoshin V. Gupta; Kuo-lin Hsu; Soroosh Sorooshian (ICNN, 1997)

Fortify particle swam optimizer (PSO) with principal components analysis: A case study in improving bound-handling for optimizing high-dimensional and complex problems. - Wei Chu; Xiaogang Gao; Soroosh Sorooshian (IEEE Congress on Evolutionary Computation, 2011)

Handling boundary constraints for particle swarm optimization in high-dimensional search space. - Wei Chu; Xiaogang Gao; Soroosh Sorooshian (Inf. Sci., 2011)

A new evolutionary search strategy for global optimization of high-dimensional problems. - Wei Chu; Xiaogang Gao; Soroosh Sorooshian (Inf. Sci., 2011)

A Solution to the Crucial Problem of Population Degeneration in High-Dimensional Evolutionary Optimization. - Wei Chu; Xiaogang Gao; Soroosh Sorooshian (IEEE Syst. J., 2011)

Improving the multi-objective evolutionary optimization algorithm for hydropower reservoir operations in the California Oroville-Thermalito complex. - Tiantian Yang; Xiaogang Gao; Scott Lee Sellars; Soroosh Sorooshian (Environ. Model. Softw., 2015)

Deep neural networks for precipitation estimation from remotely sensed information. - Yumeng Tao; Xiaogang Gao; Alexander Ihler; Kuolin Hsu; Soroosh Sorooshian (CEC, 2016)

Object-Based Assessment of Satellite Precipitation Products. - Jingjing Li 004; Kuolin Hsu; Amir Aghakouchak; Soroosh Sorooshian (Remote. Sens., 2016)

An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis. - Tiantian Yang; Ata Akabri Asanjan; Mohammad Faridzad; Negin Hayatbini; Xiaogang Gao; Soroosh Sorooshian (Inf. Sci., 2017)

Effective Cloud Detection and Segmentation using a Gradient-Based Algorithm for Satellite Imagery; Application to improve PERSIANN-CCS. - Negin Hayatbini; Kuo-lin Hsu; Soroosh Sorooshian; Yunji Zhang; Fuqing Zhang (CoRR, 2018)

Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework. - Matin Rahnamay Naeini; Tiantian Yang; Mojtaba Sadegh; Amir Aghakouchak; Kuo-Lin Hsu; Soroosh Sorooshian; Qingyun Duan; Xiaohui Lei (Environ. Model. Softw., 2018)

The Evolution of Bits and Bottlenecks in a Scientific Workflow Trying to Keep Up with Technology: Accelerating 4D Image Segmentation Applied to NASA Data. - Scott L. Sellars; Joulien Tatar; Phu Nguyen; Eric Shearer; Soroosh Sorooshian; F. Martin Ralph; John J. Graham; Dmitry Mishin; Kyle Marcus; Ilkay Altintas; Thomas A. DeFanti; Larry Smarr; et al. (eScience, 2019)

Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN. - Negin Hayatbini; Bailey Kong; Kuo-lin Hsu; Phu Nguyen; Soroosh Sorooshian; Graeme Stephens; Charless C. Fowlkes; Ramakrishna R. Nemani (Remote. Sens., 2019)

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. - Mojtaba Sadeghi; Ata Akabri Asanjan; Mohammad Faridzad; Vesta Afzali Gorooh; Phu Nguyen; Kuolin Hsu; Soroosh Sorooshian; Dan Braithwaite (Remote. Sens., 2019)

Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps. - Ata Akbari Asanjan; Kamalika Das; Alan S. Li; Ved Chirayath; Juan Torres-Perez; Soroosh Sorooshian (KDD, 2020)

Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information. - Mojtaba Sadeghi; Phu Nguyen; Kuolin Hsu; Soroosh Sorooshian (Environ. Model. Softw., 2020)

Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS. - Vesta Afzali Gorooh; Subodh Kalia; Phu Nguyen; Kuo-lin Hsu; Soroosh Sorooshian; Sangram Ganguly; Ramakrishna R. Nemani (Remote. Sens., 2020)

Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran. - Pari-Sima Katiraie-Boroujerdy; Matin Rahnamay Naeini; Ata Akbari Asanjan; Ali Chavoshian; Kuo-lin Hsu; Soroosh Sorooshian (Remote. Sens., 2020)

Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset. - Hamidreza Mosaffa; Mojtaba Sadeghi; Negin Hayatbini; Vesta Afzali Gorooh; Ata Akbari Asanjan; Phu Nguyen; Soroosh Sorooshian (Remote. Sens., 2020)

One man, one vision, 35 years in the making. - Soroosh Sorooshian (Comput. Aided Civ. Infrastructure Eng., 2021)

Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling. - Yuhang Zhang 013; Aizhong Ye; Phu Nguyen; Bita Analui; Soroosh Sorooshian; Kuolin Hsu (Remote. Sens., 2021)

The Application of PERSIANN Family Datasets for Hydrological Modeling. - Hossein Salehi; Mojtaba Sadeghi; Saeed Golian; Phu Nguyen; Conor Murphy; Soroosh Sorooshian (Remote. Sens., 2022)

Fine-tuning long short-term memory models for seamless transition in hydrological modelling: From pre-training to post-application. - Xingtian Chen; Yuhang Zhang 013; Aizhong Ye; Jinyang Li; Kuolin Hsu; Soroosh Sorooshian (Environ. Model. Softw., 2025)