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Hamidreza Ghasemi Damavandi
Hamidreza Ghasemi Damavandi
Principal Data Scientist | Machine Learning Engineer
Preverjeni e-poštni naslov na asu.edu - Domača stran
Naslov
Navedeno
Navedeno
Leto
Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools
D Saboe, H Ghasemi, MM Gao, M Samardzic, KD Hristovski, D Boscovic, ...
Science of the Total Environment 764, 142876, 2021
502021
Accurate Prediction of Streamflow Using Long Short-term Memory Network: A Case Study in the Brazos River Basin in Texas
H Ghasemi Damavandi, R Shah, D Stampoulis, J Sabo, D Boscovic
International Journal of Environmental Science and Development, 2019
292019
Interpreting comprehensive two-dimensional gas chromatography using peak topography maps with application to petroleum forensics
H Ghasemi Damavandi, A Sen Gupta, RK Nelson, CM Reddy
Chemistry Central Journal 10 (1), 75, 2016
222016
Using Satellite Remote Sensing and Machine Learning Techniques Towards Precipitation Prediction and Vegetation Classification
D Stampoulis, H Ghasemi Damavandi, D Boscovic, J Sabo
Journal of Environmental Informatics, 2019
162019
Machine learning classifies predictive kinematic features in a mouse model of neurodegeneration
R Huang, AA Nikooyan, B Xu, MS Joseph, HG Damavandi, N von Trotha, ...
Scientific reports 11 (1), 3950, 2021
92021
An active learning based prediction of epidural stimulation outcome in spinal cord injury patients using dynamic sample weighting
M Kachuee, LD Moore, T Homsey, HG Damavandi, B Moatamed, ...
2017 IEEE International Conference on Healthcare Informatics (ICHI), 478-483, 2017
62017
A learning framework for an accurate prediction of rainfall rates
HG Damavandi, R Shah
arXiv preprint arXiv:1901.05885, 2019
42019
Robust oil-spill forensics and petroleum source differentiation using quantized peak topography maps
HG Damavandi, AS Gupta, G Canahuate, CM Reddy, R Nelson
arXiv preprint arXiv:1807.07484, 2018
32018
Signal variability and data compression considerations for petroleum forensics in two-dimensional gas chromatography
HG Damavandi, AS Gupta, RK Nelson, CM Reddy
OCEANS 2017-Aberdeen, 1-4, 2017
32017
Compressed forensic source image using source pattern map
HG Damavandi, AS Gupta, R Nelson, C Reddy
2016 Data Compression Conference (DCC), 596-596, 2016
32016
Oil-spill forensics using two-dimensional gas chromatography: differentiating highly correlated petroleum sources using peak manifold clusters
H Ghasemi Damavandi, A Sen Gupta, R Nelson, C Reddy
Proceedings of the asilomar conference on signals, systems and computers …, 2015
32015
Oil-spill forensics using two-dimensional gas chromatography: Differentiating highly correlated petroleum sources using peak manifold clusters
HG Damavandi, AS Gupta, C Reddy, R Nelson
2015 49th Asilomar Conference on Signals, Systems and Computers, 1589-1592, 2015
32015
Compound-cognizant feature compression of gas chromatographic data to facilitate environmental forensics
HG Damavandi, AS Gupta, C Reddy, R Nelson
2015 Data Compression Conference, 443-443, 2015
32015
Artificial intelligence as an efficient alternative to the conventional hydrological modelling for groundwater forecasting
S Shah, H Ghasemi Damavandi, L Huang, D Stampoulis, R Shah, Y Tsai, ...
AGU Fall Meeting Abstracts 2018, H21J-1782, 2018
12018
Data analytics, interpretation and machine learning for environmental forensics using peak mapping methods
HG Damavandi
The University of Iowa, 2016
12016
Designing Portfolio of Wetlands to Improve Flood Resilience in the Brazos Basin of Texas.
R Shah, Y Tsai, D Stampoulis, HG Damavandi, JL Sabo
AGU23, 2023
2023
Design principles for engineering wetlands to improve resilience of coupled built and natural water infrastructure
R Shah, Y Tsai, D Stampoulis, HG Damavandi, J Sabo
Environmental Research Letters 18 (11), 114045, 2023
2023
Designing combination of natural infrastructures to improve flood mitigation in the Brazos basin.
R Shah, D Stampoulis, H Ghasemi Damavandi, Y Tsai, T Sinha, ...
AGU Fall Meeting Abstracts 2022, H25N-1274, 2022
2022
Designing constructed wetlands to improve flood resilience of the Brazos river basin in Texas.
R Shah, D Stampoulis, H Ghasemi Damavandi, H Gao, D Yamazaki, ...
AGU Fall Meeting Abstracts 2021, H25U-1256, 2021
2021
A Bayesian Neural Network for an Accurate Representation and Transformation of Runoff Dynamics: A Case Study of the Brazos River Basin in Texas
Journal of Environmental Science and Engineering Technology, 2020
2020
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