Important Information- 4th ICMTEA2020 will be organized in Online/Virtual mode due to COVID-19 Pandemic.

Topics

The conference covers broad spectrum of cutting-edge topics related to mathematics applications in engineering. ICMTEA2020 is a peer-reviewed conference, with experts from different parts of the world. Authors are encourage to submit their high quality research articles (Full Length) with separate Abstract word file (Click Here for Sample Abstract) to the e-mail at icmtea2020@geu.ac.in

The thematic areas of the conference are as follows (but are not limited to):




Online Presentation

Corresponding author has to present their paper in front of expert panel at the conference in online mode during the conference dates. More information about the online presentation will be provided before the conference time to time.


Important Dates

Full Paper Submission Deadline : September 10, 2020

Author Acceptance Notification : September 15, 2020

Author Registration Deadline : September 30, 2020

Author Registration Deadline (with late fee) : October 15, 2020

Conference Dates: December 4-5, 2020


The authors are requested to submit the full paper/article at the email: icmtea2020@geu.ac.in


Special Sessions- ICMTEA2020

Special Session 1-Reliability and Maintenance Modeling in Japan
Chair by: T. Dohi, Japan and H. Okamura, Japan


Special Session 2- Reliability and Maintenance Modeling in Japan
Chair by: K. Ito, Japan and J. Zheng, Japan


Special Session 3- Multivariate Statistical Techniques and Tools
Chair by: Ilia Vonta, Greece and Alex Karagrigoriou, Greece


Special Session 4- OR & Decision Models for Sustainable and Circular Supply Chains
Chair by: Yiğit Kazançoğlu, Turkey, Sachin K Mangla, UK and Manoj Dora, UK


Publication Ethics

Every paper submitted to the ICMTEA2020 will be checked for plagiarism by using anti-plagiarism software (Turnitin), before being sent to a pre-conference review. Authors should observe high standards with respect to publication ethics. Falsification or fabrication of data, plagiarism, including duplicate publication of the author's own work without proper citation, and misappropriation of the work are all unacceptable.

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