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Erfan Babaee Tirkolaee
PeerJ Author & Reviewer
215 Points

Contributions by role

Reviewer 15
Editor 200

Contributions by subject area

Bioinformatics
Artificial Intelligence
Computer Vision
Neural Networks
Algorithms and Analysis of Algorithms
Optimization Theory and Computation
Data Mining and Machine Learning

Erfan Babaee Tirkolaee

PeerJ Author & Reviewer

Summary

Erfan Babaee Tirkolaee obtained a BSc. (2012) and MSc. (2014) in Industrial Engineering from Isfahan University of Technology in Isfahan, Iran. Then, he received a Ph.D. degree (2019) in Industrial Engineering from Mazandaran University of Science and Technology in Babol, Iran. Dr. Erfan Babaee Tirkolaee is currently an assistant professor in the Department of Industrial Engineering at Istinye University in Istanbul, Turkey. Meanwhile, he worked as a Quality Assurance expert in some automotive industries in Iran and went through different relevant training courses like ISO 9001: 2015 and IATF 16949-2016. He has published more than 120 papers in high-quality journals, including IEEE Transactions on Fuzzy Systems, Expert Systems with Applications, Waste Management, Journal of Cleaner Production, Computers & Industrial Engineering, Annals of Operations Research, etc. He has been serving as a chair, organizing, committee member as well as a keynote speaker in several prestigious international conferences. Dr. Erfan Babaee Tirkolaee has been featured among the "World’s Top 2% Researchers/Scientists in 2021 & 2022" list identified by Elsevier BV, Stanford University.

Algorithms & Analysis of Algorithms Computational Science COVID-19 Data Mining & Machine Learning Data Science Environmental Impacts Optimization Theory & Computation

Work details

Assistant Professor

Istinye University
Industrial Engineering

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 3
November 13, 2024
DeepEMPR: coffee leaf disease detection with deep learning and enhanced multivariance product representation
Ahmet Topal, Burcu Tunga, Erfan Babaee Tirkolaee
https://doi.org/10.7717/peerj-cs.2406
September 19, 2024
A variant-informed decision support system for tackling COVID-19: a transfer learning and multi-attribute decision-making approach
Amirreza Salehi Amiri, Ardavan Babaei, Vladimir Simic, Erfan Babaee Tirkolaee
https://doi.org/10.7717/peerj-cs.2321
December 7, 2023
DeepFND: an ensemble-based deep learning approach for the optimization and improvement of fake news detection in digital platform
Venkatachalam K, Badriyya B. Al-onazi, Vladimir Simic, Erfan Babaee Tirkolaee, Chiranjibe Jana
https://doi.org/10.7717/peerj-cs.1666