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The School of Electronics Engineering (SENSE) at Vellore Institute of Technology (VIT), Vellore, is organizing a virtual, one-day national-level workshop on "Machine Learning for Image Processing: Fundamentals, Recent Advances, and Real-World Applications" on June 13, 2026. Register now with the direct link here.
As a premier hub for advanced learning and research in Electronics and Communication Engineering, SENSE boasts top-tier laboratory infrastructure specializing in VLSI, Embedded Systems, Communication, Sensors, and Nanotechnology, with faculty members actively leading high-end research projects funded by prestigious government bodies such as DRDO, ISRO-RESPOND, and DST.
This specialized program is expertly designed to help participants transform complex images into intelligent insights using modern technical frameworks like Python, OpenCV, TensorFlow, and PyTorch. Offering comprehensive knowledge ranging from core foundational concepts to practical hands-on implementations, the workshop is open to a wide academic audience, including UG, PG students, research scholars, and faculty members. All registered attendees will receive an official participation certificate from the university upon the successful completion of all technical sessions.
VIT Vellore: Registration for the Machine Learning for Image Processing Workshop
To participate in this interactive national workshop organized by VIT Vellore, interested candidates must register through the official university portal. The registration fee is INR 200 + GST, which applies equally to all applicants. The seats are limited for this live virtual session, so secure your enrollment early.
Direct Link: VIT Vellore One-Day Workshop on Machine Learning for Image Processing Registration (Online) |
Source: VIT Vellore Candidate Login
VIT Vellore One-Day National Workshop Session-Wise Schedule
The workshop is structured across four technical sessions, running from 9:30 AM to 5:15 PM. The detailed timeline and topics are outlined in the table below:
| Session & Timing | Phase & Focus | Key Topics |
Session 1 (9:30 AM – 11:00 AM) | Phase 1: Core Fundamentals | Image processing, agents, environments, enhancement, filtering, and feature extraction. |
Session 2 (11:15 AM – 12:45 PM) | Phase 2: Advanced Search Space | Search spaces, search algorithms, and complex environmental data. |
Session 3 (2:00 PM – 3:30 PM) | Phase 3: ML Models | Regression, decision trees, clustering, ensemble learning, random forests, and Naïve-Bayes. |
Session 4 (3:45 PM – 5:15 PM) | Phase 4: Deep Learning | Feed-forward networks, kernel machines, HMMs, RNNs, object detection, GANs, and diffusion models. |
VIT Vellore Workshop on ML: Advisory Committee & Contact Information
The workshop is organized by the Department of Embedded Technology and the Department of Communication Engineering under the leadership of the SENSE executive team:
- Dean of SENSE: Jasmine Pemeena Priyadarisini
- Head of Embedded Technology: Sundar S
- Head of Communication Engineering: Kannadassan D
Helpdesk
For queries regarding registration, payments, or session access, you can reach out directly to the event coordinators:
- Bijaylaxmi Das
- Phone: +91-8984764021
- Email: [email protected]
- Shanidul Hoque
- Phone: +91-9401408475
- Email: [email protected]
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