About

UPES School of Computer Science, in collaboration with Elsevier, the University of Dayton (USA), and Providence University, hosted the 3rd edition of the International Conference on Machine Learning and Data Engineering (ICMLDE 3.0) during November 28-29, 2024. The 3rd edition continues the tradition of academic distinction established by previous iterations of ICMLDE, which have seen participation from over 3,800 contributors across 47 countries. ICMLDE 3.0, sponsored by the Ministry of Electronics and Information Technology (MeitY) and IBM, is structured around four key tracks: Machine Learning Foundation, Deep Learning and Data Engineering, Machine Learning and Data Engineering, and Applications.

ICMLDE 3.0 successfully fostered meaningful discussions and collaborations on global challenges and emerging Artificial Intelligence and Data Engineering opportunities. With over 400 research papers presented, the conference highlighted diverse areas within the fields of Machine Learning and Data Engineering. The accepted papers have been published in the Procedia Computer Science journal by Elsevier, ensuring global accessibility and recognition.

A key focus of the conference was nurturing young researchers, achieved through inspiring expert speeches and engaging technical sessions, paving the way for innovation and progress in the domain.

Objective

The objective of ICMLDE 3.0 is to provide a platform to discuss the need for advanced innovation in the fields of Machine Learning and Data Engineering by showcasing high-quality research and fostering global collaboration among researchers, academicians, professionals and industry leaders worldwide. The conference aims to advance cutting-edge innovation, inspire actionable insights, and nurture young researchers, thereby shaping the future of technology and society. It seeks to highlight UPES's vision as a hub for research excellence and impactful solutions.