4th International Conference on Mathematical, Engineering and Management Sciences

September 10-11, 2024

Organized by

Department of Mechanical Engineering, National Institute of Technology Meghalaya, India


in collaboration with

Department of Mechanical Engineering, National Institute of Technology Patna, India

(Conference Mode: Virtual/Online)

(4th ICMEMS2024- A Conference Series of Ram Arti Publishers)

The 4th International Conference on Mathematical, Engineering, and Management Sciences (4th ICMEMS 2024) extends a warm invitation to researchers, academicians, professionals, and students worldwide to submit their original and unpublished research papers for presentation at the conference. The primary objective of the 4th ICMEMS 2024 is to establish a dynamic platform for the exchange and discussion of cutting-edge research in mathematics, engineering, and management sciences. This conference aims to foster collaboration among experts, practitioners, and industry leaders, encouraging the exploration of innovative interdisciplinary research pathways. Topics of interest for paper submissions encompass a broad spectrum, including, but not limited to:

Submission Guidelines:

Authors interested in presenting research papers of theoretical/applied nature or case studies are invited to submit the abstract by August 25, 2024 to the e-mail id: 4th.icmems@gmail.com The abstract must be in English (UK/USA) and to be submitted in Word format. The template should be followed to prepare the abstract.

Abstract Template: Click Here

Important Dates

Abstract Submission Deadline: August 31, 2024 (Saturday)
Acceptance Notification:: August 31, 2024 (Saturday)
Registration is to be completed by: September 05, 2024 (Thursday)
Online Conference Dates: September 10-11, 2024 (Tuesday and Wednesday)

Ethics

Every paper submitted to the conference 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.