Computational Modeling and Sustainable Energy
Pandit Deendayal Energy University
Gandhinagar, Gujarat, India
About the Conference
The International Conference on Computational Modeling and Sustainable Energy (ICCMSE 2023) will be held at Pandit Deendayal Energy University, Gandhinagar, Gujarat, India in collaboration with Necmettin Erbakan University, Konya, Turkiye and Youjiang Medical University for Nationalities, China during December 15-17, 2023. This conference is meant for researchers from academia, industries and R&D organisations from all over the globe whose research is broadly related to Computational Modeling and Sustainable Energy. Some areas covered by the conference, but not limited to, are differential equations, mathematical modelling, simulations, dynamical systems, numerical analysis, fractional differential equations, Fuzzy set and Logic, Sustainable Energy. The conference aims to bring together mathematicians and experts from other diverse fields to deliberate recent progress in Computational Modeling and Sustainable Energy. The conference puts special emphasis on the participation of Ph.D. students, post-doctoral fellows and other young researchers from all over the world. The conference will feature world-class keynote speakers in the theme areas. Conference language is English. All the paper will be submitted via Microsoft CMT.
Submission Opens 26th July 2023.
Deadline for submission of full-length paper 30th September 2023.
Notification for acceptance by 31st October 2023.
Early bird registration up to 10th November 2023.
Spot registration on 15th December 2023 for attendees only.
Conference date December 15-17 2023.
1. Conference Proceeding in Book series Innovations in Sustainable Technologies and Computing” in Springer. Template for final submission will be shared after review.
2. Special Issue on Advanced Methods of Modelling and Numerical Computation in Science and Technology and Engineering, (SCOPUS) in Mathematical Modelling and Numerical Simulation with Applications (MMNSA).
3. Journal of Petroleum Exploration and Production Technology, Springer, SCIE IF: 2.2