International Conference on Computational Methods on Engineering & Health Sciences
Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology (MIT), Manipal, in collaboration with Kyushu Institute of Technology (KIT), Japan, Universiti Putra Malaysia (UPM), Malaysia, University Malaya (UM), Malaysia, and Cranfield University (CU), UK, will be organising the 8th International Conference on Computational Methods in Engineering and Health Science (ICCMEH-2024) on December 16-17, 2024, at Manipal, Karnataka. ICCMEH-2024 aims to unite computational scientists, engineers, and medical professionals from various interdisciplinary fields under one forum. The conference will cover various topics, including analytical and numerical techniques and innovative applications of computational methods to address problems in Science, Engineering, Health Sciences, and other computational disciplines. Keynote speeches and technical papers will be presented to discuss emerging topics, tackle challenging issues, and identify potential solutions to advance the field.
In the present era of remarkable technological achievements in the computational domain new techniques have been applied in the engineering and health sciences domain. There is increased necessity to solve complex problems in computational domains and obtain better results from the simulations that will be helpful to clinicians. The two day International Conference on Computational Methods in Engineering and Health Sciences (ICCMEH-2024) serves the purpose of bringing together the computational scientists and engineers and medical fraternity from various interdisciplinary domains under a common forum. The latest technological advances shall be shared through a series of keynote lectures and parallel presentations. This is done to foster various types of academic collaborations. The theme of this conference was broad (but not limited to) covering several analytical and numerical techniques, and novel applications of computational techniques to solve problems in engineering, health sciences, and other computational disciplines.