About NIAMT Ranchi

The National Institute of Advanced Manufacturing Technology (NIAMT), formerly known as (NIFFT), is a premier institution in India, dedicated to education, research, and innovation in the field of Advanced Manufacturing. Established in 1966 in Ranchi, Jharkhand, NIAMT has a rich legacy of providing specialized training and education in areas such as Foundry, Forge Technology, Metallurgy And Materials Engineering. Over time, it has expanded its academic programs to include disciplines like Electronics and Computer Engineering, addressing the evolving needs of modern industry.

About the Department

The Department of Electronics and Computer Engineering at NIAMT is dedicated to provide high quality education and research in Electronics, Computer Technologies and Artificial Intelligence (AI). The department offers B.Tech in Computer Engineering. The focus of the department is on cutting edge areas such as AI, Machine Learning (ML), Embedded systems, and Automation. Equipped with state-of-the-art laboratories and guided by a team of distinguished faculty, the department aims to prepare students for successful careers in technology and engineering, drive research and innovation, and promote industrial collaboration

About the Conference

The Conference on Trends in Intelligent Computing, Manufacturing and Electronics Systems (TIMES-2027), organized by the Department of Electronics and Computer Engineering (ECE) at the National Institute of Advanced Manufacturing Technology (NIAMT), Ranchi, will take place in 2027. This international event aims to create a global platform for the convergence of minds from diverse fields, including academia, research, and industry, to discuss cutting-edge developments, challenges, and innovations in intelligent systems and technologies.

Topic of Interest

TIMES aims to bring together cutting-edge research and innovations across various domains to address real-world challenges through technological advancement. The conference invites original contributions from researchers, academicians, and industry professionals in areas including, but not limited to, the following:

Intelligent Computing

Artificial Intelligence (AI) and Machine Learning (ML)
Deep Learning and Neural Networks
Natural Language Processing (NLP) and Speech Recognition
Computer Vision and Image Processing
Edge and Cloud Computing
Blockchain Technology and its Applications
Quantum Computing and Quantum Machine Learning
Internet of Things (IoT) and Smart Systems
Cybersecurity and Data Privacy in Intelligent Systems
Human-Computer Interaction (HCI) and Augmented Reality (AR)/Virtual Reality (VR)