Ranchi: The Department of Computer Science and Engineering at Birla Institute of Technology (BIT), Mesra, organized a successful one-day national workshop on “Image Processing and Machine Learning for Mineral Characterization” on Friday.
Sponsored by the Anusandhan National Research Foundation (ANRF), the workshop served as an important platform for sharing knowledge, providing hands-on training, and fostering discussions on the role of artificial intelligence (AI) in mineral characterization.
The event began with a welcome address by Dr. Shamama Anwar, Assistant Professor in the Department of CSE at BIT Mesra. She highlighted the workshop’s goal of promoting interdisciplinary collaboration and advancing research on AI applications within the geosciences field.
Dr. Abhijit Mustafi, Head of the Department of CSE, emphasized the workshop’s significance in bridging the gap between academia and industry. “This initiative brings together experts and researchers to explore AI-driven solutions for mineral characterization,” he said.
An engaging technical session was delivered by Dr. Raju Poddar, Dean of Research, Innovation & Entrepreneurship at BIT Mesra. He discussed advanced machine learning and image processing techniques specifically designed for mineral characterization.
The Chief Guest, Rajiva Kumar Singh, General Manager (Exploration) at CMPDI, Ranchi, delivered a keynote address on the importance of mineral extraction and characterization. He also highlighted the steps being taken by CMPDI to incorporate AI-driven image processing and machine learning technologies to improve mineral exploration and resource management.
The workshop saw active participation from students, researchers, and faculty, all of whom received certificates upon successful completion. Participants engaged in practical exercises and insightful discussions, making the event a valuable learning opportunity.
The convenors of the workshop, Dr. Shamama Anwar and Dr. Subrajeet Mohapatra, expressed their appreciation to the speakers, participants, and organizers, acknowledging their contributions to the event’s success.
The workshop aligns with the Scientific Social Responsibility (SSR) policy of SERB, reinforcing the importance of sharing knowledge and advancing research in emerging technologies.
