Mahdi Bahaghighat

Employment

• Imam Khomeini International University Assistant Professor
  2020 - Present
• Raja University Assistant professor
  2007 - 2020

Education

• Amirkabir University of Technology Dr
  2011 - 2017
• Iran University of Science and Technology MSc
  2003 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (29)

• Candlestick Type Prediction in Financial Charts
  Sakarya University Journal of Computer and Information Sciences 2026 DOI: 10.35377/saucis...1850817
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• Citation count prediction based on Google Scholar profiles and Clarivate’s journal citation reports
  Information Research an international electronic journal 2026 DOI: 10.47989/ir31141005
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• Informatics and measurement in healthcare: deep learning for diabetic patient readmission prediction
  Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 2025 DOI: 10.35784/iapgos.7835
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• Evaluating Web Protocol Threats: DNS Spoofing & TLS Weaknesses
  2025 DOI: 10.1109/MIEL66332.2025.11261127
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• Financial Pattern Recognition Using Feature Extraction and Classification
  2025 DOI: 10.1109/MIEL66332.2025.11261164
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• Phishing Website Detection: An In‐Depth Investigation of Feature Selection and Deep Learning
  Expert Systems 2025 DOI: 10.1111/exsy.13824
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• Major vulnerabilities in Ethereum smart contracts: Investigation and statistical analysis
  Mohammad Pishdar, Mahdi Bahaghighat, Rajeev Kumar +1 more
  EAI Endorsed Transactions on Internet of Things 2024 DOI: 10.4108/eetiot.5120
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• Hierarchical text classification for web of science scientific fields
  Facta universitatis - series: Electronics and Energetics 2024 DOI: 10.2298/FUEE2404703J
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• A high-accuracy phishing website detection method based on machine learning
  Journal of Information Security and Applications 2023 DOI: 10.1016/j.jisa.2023.103553
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• Radon CLF: A Novel Approach for Skew Detection Using Radon Transform
  Computer Systems Science and Engineering 2023 DOI: 10.32604/csse.2023.038234
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• Using machine learning and computer vision to estimate the angular velocity of wind turbines in smart grids remotely
  Energy Reports 2021 DOI: 10.1016/j.egyr.2021.07.077
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• DEVELOPING A PARALLEL CLASSIFIER FOR MINING IN BIG DATA SETS
  IIUM Engineering Journal 2021 DOI: 10.31436/iiumej.v22i2.1541
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• ConvLSTMConv network: a deep learning approach for sentiment analysis in cloud computing
  Journal of Cloud Computing 2020 DOI: 10.1186/s13677-020-00162-1
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• Estimation of Wind Turbine Angular Velocity Remotely Found on Video Mining and Convolutional Neural Network
  Applied Sciences 2020 DOI: 10.3390/app10103544
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• Image Transmission over Cognitive Radio Networks for Smart Grid Applications
  Applied Sciences 2019 DOI: 10.3390/app9245498
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• A Machine Learning-Based Approach for Counting Blister Cards Within Drug Packages
  IEEE Access 2019 DOI: 10.1109/ACCESS.2019.2924445
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• Mobile User Indoor-Outdoor Detection Through Physical Daily Activities
  Sensors (Basel, Switzerland) 2019 DOI: 10.3390/s19030511
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• Mobile user indoor-outdoor detection through physical daily activities
  Sensors 2019
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• Vision Inspection of Bottle Caps in Drink Factories Using Convolutional Neural Networks
  Proceedings - 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing, ICCP 2019 2019 DOI: 10.1109/ICCP48234.2019.8959737
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• WIND TURBINE TOWER DETECTION USING FEATURE DESCRIPTORS AND DEEP LEARNING
  Facta Universitatis, Series: Electronics and Energetics 2019
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