Advanced Structural Health Monitoring FDP at Geethanjali College of Engineering and Technology
Explore cutting-edge techniques in Structural Health Monitoring (SHM), Sensor Technologies, and Data Analytics. This Faculty Development Program (FDP) by Geethanjali College of Engineering and Technology integrates Machine Learning for infrastructure safety and sustainability.
Overview
This online FDP addresses key concepts, challenges, and applications in SHM. It is crucial for enhancing the safety, reliability, and sustainability of modern infrastructure systems.
Why Join?
- Learn about the latest trends in SHM and sensor technologies.
- Understand the role of data analytics and Machine Learning.
- Gain insights from real-time case studies.
- Participate in an online format for convenience.
Major Course Contents
- Introduction to Structural Health Monitoring (SHM)
- Sensor Technologies and Data Acquisition Systems
- Vibration-Based Damage Detection (VBDD) Techniques
- Signal Processing for SHM (FFT, PSD, Filtering)
- Data Analytics and Feature Engineering
- Deep Learning and AI Applications in SHM
- Digital Twins and Smart Infrastructure Monitoring
- Case Studies on Real-Time Structural Monitoring
How to Register
Registration for the Advanced Structural Health Monitoring FDP is straightforward:
- Complete the online registration form.
- Submit application and DD by the deadline.
- Selection list will be announced via email.
Fees & Pricing
Registration fees for the Geethanjali College of Engineering and Technology program are as follows:
- Faculty: Rs. 1180/-
- Students / Research Scholars: Rs. 590/-
- Industry Participants: Rs. 2360/-
Resources
- Event Website: View Event Details
- Registration Link: Register Now
- Brochure: Download Brochure
Support
For any inquiries regarding the Advanced Structural Health Monitoring, Sensor Technologies, and Data Analytics FDP:
- Contact Person: Dr. P. Sathish
- Mobile: 9676826942
- Email: [email protected]
This FDP is a valuable opportunity for professionals and researchers interested in the future of infrastructure monitoring at Geethanjali College of Engineering and Technology.
- Focuses on SHM, sensor technologies, and data analytics for infrastructure.
- Integrates Machine Learning and AI applications.
- Covers case studies on real-time structural monitoring.
- Online format for accessibility.
Faculty, Students, Research Scholars, Industry Participants
- 1 Fill out the online registration form via the provided link.
- 2 Submit your application and Demand Draft (DD) by the deadline of June 12, 2026.
- 3 Await the selection list which will be communicated via email on June 14, 2026.
What is the registration deadline for this Faculty Development Program?
The last date for registration is June 12, 2026.
Who can attend this FDP?
The FDP is open to Faculty, Students, Research Scholars, and Industry Participants.
Is this event held on-campus or online?
This is an online Faculty Development Program.
Where can I find the payment details?
Online transfer details are provided in the event information. Account Name: HEAD, CTL NITW, Account No: 40376545007, IFSC: SBIN0020149, Bank: SBI, NIT (REC) Warangal.
Ready to participate in Advanced Structural Health Monitoring, Sensor Technologies, and Data Analytics: Integrating Machine Learning for Infrastructure 2026?
Secure your pass before registration closes. Connect with the organizing committee for group discounts or queries.