Original contributions from researchers describing their original, unpublished, research contribution which are not currently under review by another conference or journal and addressing state-of-the-art research are invited in 1st ICMEMS. The scope of the conference would revolve around the following tracks:

Mathematical Sciences- applied mathematics, operations research.

Engineering Sciences- computer science engineering, mechanical engineering, industrial engineering, systems engineering, reliability engineering, production engineering.

Management Sciences- engineering management, risk management, management in technology & innovation, supply chain management.

The topics of the Conference would include but are not restricted to:

Applied Statistics Applied Mathematical Modeling Big Data Analytics Business Analytics Business Operations Engineering Economy and Cost Analysis Fault Tolerance in Hardware and Software systems Global Manufacturing and Management Infocom Systems Reliability Information Processing and Engineering Information Theory Innovation and Management Inventory Management Manufacturing Systems Mobile Communications Network Technologies Power Systems Quality Power Systems Reliability Probabilistic Safety Assessment Production Planning and Control Project Management Quality Management Reliability and Maintenance Models Reliability Centered Maintenance Reliable and Secure Communications Risk Analysis Soft Computing Software Quality Software Reliability and Testing Statistical Inference Statistical Methods in Quality Control Supply Chain Management Systems Security Technology and Knowledge Management Total Quality Management

Authors interested in presenting research papers of theoretical/applied nature or case studies are invited to submit their high-quality research article in full length latest by June 10, 2022 to the e-mail id icmems@ramartipublishers.com

Important Dates

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.