Modelling, Data Analytics, and AI: Pioneering a Green Industrial Revolution
MadeAI
In today’s rapidly evolving science and technology landscape, modelling, data analytics, and artificial intelligence (AI) play pivotal roles in reshaping problem-solving strategies across diverse industrial sectors. From aerospace and automotive to chemical, construction, energy, healthcare, materials, and transportation, these transformative technologies address complex challenges and drive innovation.
The intersections of modelling, data analytics, and AI are deeply rooted in their mathematical and computational frameworks. However, a regrettable trend persists: these disciplines are often studied in isolated silos within engineering and science programs, lacking extensive interdisciplinary collaboration. To unlock their full potential as breakthrough solutions at the engineering forefront, integration using a holistic systems approach becomes imperative.
Join us at the MadeAI conference, where accomplished researchers and industry leaders from the global communities of computer science, engineering, and mathematics converge to exchange ideas. Explore the fusion of modelling, data analytics, and AI in engineering and unearth new opportunities. This conference aims to foster research and innovation in the realms of modelling, data analytics, and AI within engineering. The conference themes span a wide spectrum:
- Foundational Principles and Methodologies: Delve into the core principles underpinning modelling, data analytics, and AI.
- Chemical Engineering Applications: Explore how these technologies enhance materials and processes engineering.
- Civil Engineering Utilization: From building design to energy management, environmental protection, geotechnical analysis, and structural engineering, discover the impact of modelling, data analytics, and AI.
- Electrical Engineering Integration: Dive into electronic, computer, power, and optical engineering domains, where these tools drive innovation.
- Mechanical Engineering Incorporation: Acoustics, aerospace, automotive, manufacturing, marine, thermal, and sports engineering all benefit from the integration of modelling, data analytics, and AI.
- Interdisciplinary Exploration: Uncover synergies and collaborative opportunities across disciplines, including but not limited to biomedical engineering, petroleum engineering, robotics, and automation.
- Other relevant topics
The MadeAI conference serves as a catalyst for advancing research and shaping the future of engineering through the convergence of these powerful technologies.