AI in Nanocomposite Hydrogels FDP 2026 and Government Polytechnic College, Kelamangalam

The AI in Nanocomposite Hydrogels FDP 2026 offers a unique opportunity for researchers to explore the intersection of material science and machine learning. Specifically, this program addresses the growing need for intelligent systems in drug delivery analysis and advanced material fabrication. Consequently, faculty members and research scholars can gain hands-on expertise in how artificial intelligence accelerates the development of multifunctional polymers.

Program Highlights

Feature	Details
Program Title & Code	Artificial Intelligence in Nanocomposite Hydrogels and Drug Delivery Analysis (App No: 1741478751)
Organizing Institution	Department of Basic Engineering, Government Polytechnic College, Kelamangalam
Dates & Duration	2nd February 2026 to 7th February 2026 (One Week)
Mode of Delivery	Basic Offline FDP
Daily Schedule	09:30 AM to 05:30 PM

Program Overview

This Faculty Development Program (FDP) is designed to introduce participants to the fundamental principles of preparation, characterization, and application of nanocomposite hydrogels. Furthermore, the curriculum focuses on AI-driven design and optimization of materials to enhance antimicrobial applications and healthcare solutions.

The program aims to foster a deeper understanding of how predictive modeling and data mining can catalyze groundbreaking research in both academic and industrial settings. Therefore, the organizers have structured the sessions to bridge the gap between traditional chemical engineering and modern computational intelligence.

Eligibility Criteria

• Target Audience: Faculty members from AICTE-approved institutions.
• Scholars: Research Scholars and PG Scholars in relevant disciplines.
• Industry: Professionals working in drug delivery, material science, or AI.
• Capacity: Limited to 50 participants on a first-come, first-serve basis.

Curriculum & Topics Covered

The FDP comprises 14 comprehensive sessions covering the following modules:

• Transformative Power of AI: General introduction to AI’s role in modern science.
• AI-Driven Material Design: Optimization of Nanocomposite Materials using algorithms.
• Nano-Materials Focus: Conjugated Nano Porous Polymers for gas adsorption.
• Predictive Modeling: Using AI to predict properties and stress management.
• Industrial Integration: Manufacturing and fabrication applications of AI in hydrogels.
• Research Literacy: Daily article discussions on high-impact journals.

Resource Persons

The program features distinguished experts from premier institutes and industry leaders:

• Dr. Senthil Kumaran K: Associate Professor, IIITDM Kancheepuram (Design & AI).
• Dr. S. Karpagam: Professor, VIT Vellore (Nano Polymers).
• Mr. S. Rajalingam: Manager-Data Analytics, Cognizant Technology Solutions.
• Mr. Shyam G: Director, Acamy Technology Solutions, Bangalore.
• Dr. Sudarshan: Associate Professor, Saveetha Engineering College.
• Dr. R. Krishnamoorthi: Psychologist and Corporate Trainer (Stress Management).

Learning Outcomes

Upon successful completion of this program, participants will be able to:

• Apply machine learning models to characterize nanocomposite hydrogels.
• Utilize image recognition and data mining for drug delivery analysis.
• Understand the integration of multi-functional nanomaterials with AI.
• Develop predictive models for material optimization in healthcare.
• Implement stress management techniques within academic environments.

Certification & Assessment

To receive the certificate issued by ATAL Academy, participants must satisfy the following criteria:

• Attendance: Minimum 80% attendance is mandatory.
• Assessment: Minimum 70% marks must be scored in the final assessment test.
• Schedule: One compulsory assessment test will be conducted on the final day of the program.

Registration Details

Detail	Information
Registration Link	click here
Registration Fee	No Registration Fee
Selection Criteria	First-Come, First-Serve (Max 50 Seats)
FDP Start Date	2nd February 2026
FDP End Date	7th February 2026
Schedule Link	Download
Brochure Link	Download

Contact Information

For queries regarding the program or registration, please contact the organizing team:

• Coordinator: Dr. Chitra G (Lecturer – Chemistry)
  • Phone: +91-9894443811
  • Email: chitramuralikrishnan@gmail.com
• Co-Coordinator: Mrs. Shanthimeena B (HOD – Computer Science)
  • Phone: +91-9942470129
  • Email: santhimeena98@gmail.com
• Venue: Government Polytechnic College, Kelamangalam, Tamil Nadu.

Additional Information

An Industrial Visit is scheduled for Day 5 (6th February 2026) to Schneider Electric India Private Limited in Attibele, Bengaluru. Participants will gain practical exposure to power monitoring and manufacturing processes. Additionally, the program includes daily “Hands-on Training/Labs” and “Article Discussions” to ensure an interactive learning environment.

Key Highlights

• Sponsored by AICTE: Fully funded under the ATAL Academy initiative.
• Industry-Academia Bridge: Direct interaction with experts from Cognizant and Schneider Electric.
• Modern Curriculum: Focuses on GenAI and AI prediction in chemistry (2024-2025 trends).
• No Cost: High-value training provided free of charge for eligible participants.

Frequently Asked Questions (FAQs)

Who is eligible to attend the AI in Nanocomposite Hydrogels FDP 2026?
Faculty members of AICTE-approved institutions, Research Scholars, PG Scholars, and Industry Professionals are eligible to apply.

Is there any registration fee for this ATAL FDP?
No, there is no registration fee for participants attending this program.

How do I apply for this program?
All interested participants must register through the official AICTE ATAL portal at atalacademy.aicte.gov.in.

Where will the sessions be held?
This is a basic offline FDP held at the Government Polytechnic College, Kelamangalam, Tamil Nadu.

What are the certification requirements?
Participants must maintain at least 80% attendance and score a minimum of 70% in the assessment test conducted at the end of the program.