Dr. Hamid Saadatfar is currently an associate professor of Computer Engineering Department at University of Birjand. He has received his B.Sc., M.Sc., and Ph.D. degrees from Ferdowsi university of Mashhad in 2007, 2009 and 2014, respectively. His research interests include:
| # | Paper Title | Authors | Journal | Published At |
|---|---|---|---|---|
| 21 | A fast approach based on divide‑and‑conquer for instance selection in classification problem | Hamid Saadatfar,Sayed Iqbal Nawin,Edris Hosseini Gol | Applied Intelligence | 2025 |
| 22 | A New Dynamic Game-Based Pricing Model for Cloud Environment | Hamid Saadatfar,Hamid Gholampour Ahangar,Javad Hassannataj Joloudari | Future Internet | 2024 |
| 23 | US-LIME: Increasing fidelity in LIME using uncertainty sampling on tabular data | Hamid Saadatfar,zeynab kiani zadegan | Neurocomputing | 2024 |
| 24 | Job failure prediction in Hadoop based on log file analysis | Hamid Saadatfar | International Journal of Computers and Applications | 2022 |
| 25 | An improved K-means algorithm for big data | Hamid Saadatfar,Fatemeh Moodi | IET Software | 2022 |
| 26 | FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model | Mohammad GhasemiGol,Hamid Saadatfar,Roohallah Alizadehsani,Zahra Alizadeh Sani,Fereshteh Hasanzadeh,Edris Hassannataj,Danial Sharifrazi,Zulkefli Mansor | Mathematical Biosciences and Engineering | 2022 |
| 27 | Job failure prediction in Hadoop based on log file analysis | Hamid Saadatfar | International Journal of Computers and Applications | 2022 |
| 28 | Two density-based sampling approaches for imbalanced and overlapping data | Hamid Saadatfar | Knowledge-Based Systems | 2022 |
| 29 | WORKFLOW SCHEDULING ACCORDING TO DATA DEPENDENCIES IN COMPUTATIONAL CLOUDS | Hamid Saadatfar,Batoul Khazaie | Jordanian Journal of Computers and Information Technology | 2021 |
| 30 | Applications of data mining in healthcare area: A survey | Hamid Saadatfar,عطایی | Engineering and Applied Science Research | 2021 |
| 31 | K-DBSCAN: An improved DBSCAN algorithm for big data | Hamid Saadatfar | Journal of Supercomputing | 2021 |
| 32 | A New K-Nearest Neighbors Classifier for Big Data Based on Efficient Data Pruning | Hamid Saadatfar,Amir Mosavi,Shahaboddin Shamshirband | Mathematics | 2020 |
| 33 | An efficient GPU-based fractional-step domain decomposition scheme for the reaction–diffusion equation | S. Alireza Zolfaghari,Hossein Mahmoodi Darian,Hamid Saadatfar | Computational and Applied Mathematics | 2020 |
| 34 | Coronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Model | Hamid Saadatfar,Edris Hassannataj joloudari,Mohammad GhasemiGol,Amir Mosavi,Narjes Nabipour,Shahaboddin Shamshirband,Laszlo Nadai | International Journal of Environmental Research and Public Health | 2020 |
| 35 | FCS-MBFLEACH: Designing an Energy-Aware Fault Detection System for Mobile Wireless Sensor Networks | Mohammad GhasemiGol,Shahaboddin Shamshirband,Hamid Saadatfar,Amir Mosavi,Narjes Nabipour | Mathematics | 2019 |
| 36 | MB-FLEACH: A New Algorithm for Super Cluster Head Selection for Wireless Sensor Networks | Hamid Saadatfar,Seyyed Mehdi Hosseini | International Journal of Wireless Information Networks | 2019 |
| 37 | Computer-aided decision-making for predicting liver disease using PSO-based optimized SVM with feature selection | Hamid Saadatfar,Abdollah Dehzangi,Shahaboddin Shamshirband | Informatics in Medicine Unlocked | 2019 |
| 38 | RBSEP: a reassignment and buffer based streaming edge partitioning approach | Hamid Saadatfar | Journal of Big Data | 2019 |
| 39 | A Framework for ranking Ubiquitous Computing Services | Hamid Saadatfar | International Journal of Modeling, Simulation, and Scientific Computing | 2018 |