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F

Farhad Pourkamali‐Anaraki

University of Colorado System

16H-index
74Paper Count
711Citation Count
Published Papers 20
Publication Date
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Predicting the Compressive Strength of Self-Consolidating Concrete Using Machine Learning and Conformal Inference
errCMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
IF2.5
err2025-12-01
err0
PREAI
errMobasheri, Fatemeh; Hosseinpoor, Masoud; Yahia, Ammar; Pourkamali-Anaraki, Farhad
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An efficient higher-order triangulation based micromechanical model for fiber composites
errFinite Elements in Analysis and Design
IF3.5
err2025-09-07
err0
PREAI
errJamal F. Husseini; Eric J. Carey; Evan J. Pineda; Brett A. Bednarcyk; Farhad Pourkamali-Anaraki; Scott E. Stapleton
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Influential Microstructural Descriptors for Predicting Mechanical Properties of Fiber-Reinforced Composites
errJournal of Composites Science 2025, Vol. 9, Page 363
IF3.7
err2025-08-22
err0
PREAI
errJamal F. Husseini; Eric J. Carey; Farhad Pourkamali-Anaraki; Evan J. Pineda; Brett A. Bednarcyk; Scott E. Stapleton
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errSave
Machine Learning as an Innovative Engineering Tool for Controlling Concrete Performance: A Comprehensive Review
errARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
IF12.1
err2025-04-01
err0
PREAI
errMobasheri, Fatemeh; Hosseinpoor, Masoud; Yahia, Ammar; Pourkamali-Anaraki, Farhad
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errSave
Benchmarking AutoML solutions for concrete strength prediction: Reliability, uncertainty, and dilemma
errCONSTRUCTION AND BUILDING MATERIALS
IF8
err2024-04-01
err4
PREAI
errHariri-Ardebili, Mohammad Amin; Mahdavi, Parsa; Pourkamali-Anaraki, Farhad
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errSave
Adaptive Conformal Prediction Intervals Using Data-Dependent Weights With Application to Seismic Response Prediction
errIEEE ACCESS
IF3.6
err2024-01-01
err1
errOAAI
errHajibabaee, Parisa; Pourkamali-Anaraki, Farhad; Hariri-Ardebili, Mohammad Amin
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errSave
Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning
errIEEE ACCESS
IF3.6
err2024-01-01
err0
errOAAI
errPourkamali-Anaraki, Farhad; Husseini, Jamal F.; Stapleton, Scott E.
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errSave
Application of machine learning in polymer additive manufacturing: A review
errJOURNAL OF POLYMER SCIENCE
IF3.6
err2023-12-06
err19
errOAAI
errNasrin, Tahamina; Pourkamali-Anaraki, Farhad; Peterson, Amy M.
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Active learning for prediction of tensile properties for material extrusion additive manufacturing
errSCIENTIFIC REPORTS
IF3.9
err2023-07-15
err11
errOAAI
errNasrin, Tahamina; Pourali, Masoumeh; Pourkamali-Anaraki, Farhad; Peterson, Amy M.
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errSave
Dimensionality reduction techniques in structural and earthquake engineering
errENGINEERING STRUCTURES
IF6.4
err2023-03-01
err12
PREAI
errHajibabaee, P.; Pourkamali-Anaraki, F.; Hariri-Ardebili, M. A.
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errSave
Soft Computing and Machine Learning in Dam Engineering
errWATER
IF3
err2023-02-27
err3
errOAAI
errHariri-Ardebili, Mohammad Amin; Salazar, Fernando; Pourkamali-Anaraki, Farhad; Mazza, Guido; Mata, Juan
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errSave
An Automated Machine Learning Engine with Inverse Analysis for Seismic Design of Dams
errWATER
IF3
err2022-11-30
err11
errOAAI
errHariri-Ardebili, Mohammad Amin; Pourkamali-Anaraki, Farhad
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errSave
Structural uncertainty quantification with partial information
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2022-07-01
err9
PREAI
errHariri-Ardebili, Mohammad Amin; Pourkamali-Anaraki, Farhad
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errSave
Kernel Matrix Approximation on Class-Imbalanced Data With an Application to Scientific Simulation
errIEEE ACCESS
IF3.6
err2021-01-01
err20
errOAAI
errHajibabaee, Parisa; Pourkamali-Anaraki, Farhad; Hariri-Ardebili, Mohammad Amin
errShare
errSave
Neural Networks and Imbalanced Learning for Data-Driven Scientific Computing With Uncertainties
errIEEE ACCESS
IF3.6
err2021-01-01
err12
errOAAI
errPourkamali-Anaraki, Farhad; Hariri-Ardebili, Mohammad Amin
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errSave
Adaptive Data Compression for Classification Problems
errIEEE ACCESS
IF3.6
err2021-01-01
err1
errOAAI
errPourkamali-Anaraki, Farhad; Bennette, Walter D.
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errSave
Efficient Solvers for Sparse Subspace Clustering
errSIGNAL PROCESSING
IF3.6
err2020-07-01
err22
errOAAI
errPourkamali-Anaraki, Farhad; Folberth, James; Becker, Stephen
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errSave
Improved fixed-rank Nystrom approximation via QR decomposition: Practical and theoretical aspects
errNEUROCOMPUTING
IF6.5
err2019-10-01
err23
errOAAI
errPourkamali-Anaraki, Farhad; Becker, Stephen
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errSave
Simplified reliability analysis of multi hazard risk in gravity dams via machine learning techniques
errARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
IF4.4
err2018-02-01
err51
PREAI
errHariri-Ardebili, Mohammad Amin; Pourkamali-Anaraki, Farhad
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errSave
Support vector machine based reliability analysis of concrete dams
errSOIL DYNAMICS AND EARTHQUAKE ENGINEERING
IF4.6
err2018-01-01
err105
PREAI
errHariri-Ardebili, Mohammad Amin; Pourkamali-Anaraki, Farhad
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errSave

Research Directions

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Co-authors
Cooperation Journals
A
Ammar Yahia
H-index: 39 · Papers: 164
M
Mohammad Amin Hariri‐Ardebili
H-index: 34 · Papers: 206
A
Amy M. Peterson
H-index: 31 · Papers: 104
B
Brett A. Bednarcyk
H-index: 28 · Papers: 284
S
Stephen Becker
H-index: 24 · Papers: 171
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