A novel genetic algorithm in LEACH-C routing protocol for sensor networks. - Ali Asghar Rahmanian; Hesam Omranpour; Mohammad Akbari; Kaamran Raahemifar (CCECE, 2011)

Task scheduling using NSGA II with fuzzy adaptive operators for computational grids. - Reza Salimi; Homayun Motameni; Hesam Omranpour (J. Parallel Distributed Comput., 2014)

Manifold based map representation for mobile robot using Euclidean data difference dimension reduction. - Hesam Omranpour; Saeed Shiry Ghidary (Eng. Appl. Artif. Intell., 2015)

An Improved Method for Edge Detection and Image Segmentation Using Fuzzy Cellular Automata. - Reza Shahverdi; Madjid Tavana; Ali Ebrahimnejad; Khadijeh Zahedi; Hesam Omranpour (Cybern. Syst., 2016)

A heuristic supervised Euclidean data difference dimension reduction for KNN classifier and its application to visual place classification. - Hesam Omranpour; Saeed Shiry Ghidary (Neural Comput. Appl., 2016)

Solving robot path planning problem by using a new elitist multi-objective IWD algorithm based on coefficient of variation. - Soheila Salmanpour; Hesamoddin Monfared; Hesam Omranpour (Soft Comput., 2017)

Phase space elliptic density feature for epileptic EEG signals classification using metaheuristic optimization method. - Nastaran Darjani; Hesam Omranpour (Knowl. Based Syst., 2020)

Random forest and rotation forest ensemble methods for classification of epileptic EEG signals based on improved 1D-LBP feature extraction. - Amirreza Geran Malek; Mojtaba Mansoori; Hesam Omranpour (Int. J. Imaging Syst. Technol., 2021)

A mobile robot mapping model inspired from the place cells functionality of hippocampus based on dimension reduction technique. - Hesam Omranpour; Saeed Shiry 001 (J. Exp. Theor. Artif. Intell., 2021)

Stacking ensemble model of deep learning and its application to Persian/Arabic handwritten digits recognition. - Fatemeh Haghighi; Hesam Omranpour (Knowl. Based Syst., 2021)

CSP-Ph-PS: Learning CSP-phase space and Poincare sections based on evolutionary algorithm for EEG signals recognition. - Hadiseh Pourali; Hesam Omranpour (Expert Syst. Appl., 2023)

Epileptic seizure classification using ConvLSTM deep classifier and rotation short-time Fourier Transform. - Mona Chalaki; Hesam Omranpour (J. Ambient Intell. Humaniz. Comput., 2023)

Learning the transfer function in binary metaheuristic algorithm for feature selection in classification problems. - Zahra Nassiri; Hesam Omranpour (Neural Comput. Appl., 2023)

Presentation of encryption method for RGB images based on an evolutionary algorithm using chaos functions and hash tables. - Hesam Omranpour; Zeynab Mohammadi Ledari; Masoumeh Taheri (Multim. Tools Appl., 2023)

EM-CSP: An efficient multiclass common spatial pattern feature method for speech imagery EEG signals recognition. - Danial Alizadeh; Hesam Omranpour (Biomed. Signal Process. Control., 2023)

Representation of fingerprint recognition system based on geometric and statistical features of distance and angle of minutiae points. - Hesam Omranpour; Vajihe Tirdad; Aref Misaghi (Multim. Tools Appl., 2023)

Cluster-based phase space density feature in multichannel scalp EEG for seizure prediction by deep learning. - Bardia Feizbakhsh; Hesam Omranpour (Biomed. Signal Process. Control., 2023)

Breast cancer prediction by ensemble meta-feature space generator based on deep neural network. - Masoumeh Taheri; Hesam Omranpour (Biomed. Signal Process. Control., 2024)

Efficient space learning based on kernel trick and dimension reduction technique for multichannel motor imagery EEG signals classification. - Youkabed Amiri; Hesam Omranpour (Neural Comput. Appl., 2024)

Extended random forest for multivariate air quality forecasting. - Hossein Mirzadeh; Hesam Omranpour (Int. J. Mach. Learn. Cybern., 2025)