Organized by IEEE Signal Processing Society (SPS) Student branch chapter (SBC), School of Electronics Engineering, KIIT (DU), Bhubaneswar
Event Details:
- Title of IEEE Workshop: Digital Transformation in Manufacturing
- Resource Person: Mr. Subhrajyoti Moitra, Senior Engineer (MATLAB), Elmax Systems and Solutions, Kolkata
- Date: 14th February 2025 (Friday)
- Time: 9:00 PM to 2:00 PM
- Venue: LT-1, School of Electronics Engineering, KIIT (DU), Bhubaneswar
- Mode: Offline
- Number of Participants: 30
- Purpose of the Event: Academic knowledge enhancement and social awareness and outreach
Write-up on the Event:
The IEEE Workshop on “Digital Transformation in Manufacturing,” organized by the IEEE Signal Processing Society (SPS) Student Branch Chapter at the School of Electronics Engineering, KIIT (Deemed to be University), Bhubaneswar, on 14th February 2025, was a highly informative and industry-relevant session aimed at exploring the integration of digital technologies in modern manufacturing systems. Conducted in offline mode at LT-1 from 9:00 AM to 2:00 PM, the workshop witnessed the active participation of 30 students, fostering an engaging and interactive learning environment. The session was delivered by Mr. Subhrajyoti Moitra, Senior Engineer (MATLAB) at Elmax Systems and Solutions, Kolkata, whose expertise provided practical insights into industrial applications. A key highlight of the workshop was the discussion on digital transformation concepts such as automation, data analytics, smart manufacturing, and the use of MATLAB tools in optimizing production processes. The speaker emphasized the role of signal processing techniques in improving efficiency, quality control, and predictive maintenance in manufacturing industries. The primary objective of the event was to enhance academic knowledge while promoting social awareness and outreach in the domain of Industry 4.0 technologies. Participants gained valuable exposure to real-world industrial practices and emerging trends. Overall, the workshop successfully bridged the gap between theoretical concepts and practical implementation, inspiring students to explore innovative solutions in smart manufacturing systems.




