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Monday to Friday: 9AM - 5PM
Weekend: 11AM - 3PM
Address
BHub, 5th Floor, Maurya Lok Complex, New Dak Bunglow Rd, , Patna, Bihar 800001
Work Hours
Monday to Friday: 9AM - 5PM
Weekend: 11AM - 3PM
Initiative by Scrollwell
The ATAL FDP on Artificial Intelligence in Nanocomposite Hydrogels 2026 is a cutting-edge Faculty Development Program designed to merge the fields of advanced materials and computational intelligence. Sponsored by the AICTE Training and Learning (ATAL) Academy, this one-week program focuses on “Artificial Intelligence in Nanocomposite Hydrogels and Drug Delivery Analysis”. Organized by the Department of Basic Engineering at Government Polytechnic College, Kelamangalam, the event will take place offline from February 2nd to February 7th, 2026. Furthermore, this initiative aims to empower faculty and researchers by exploring the transformative power of AI in predicting and optimizing the properties of nanomaterials.
| Feature | Details |
| Program Title | Artificial Intelligence in Nanocomposite Hydrogels and Drug Delivery Analysis |
| Organizing Institution | Government Polytechnic College, Kelamangalam, Tamil Nadu |
| Dates | February 02 – 07, 2026 |
| Mode of Delivery | Offline (Physical Mode) |
| Registration Fee | NIL (No Registration Fee) |
| Max Participants | 50 Participants |
| Daily Schedule | 09:30 AM to 05:30 PM |
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The primary objective of this FDP is to introduce participants to the fundamental principles behind the preparation, characterization, and applications of nanocomposite hydrogels. Specifically, the course offers training in AI techniques that can be applied to these processes, utilizing machine learning models, data mining, and image recognition for drug delivery analysis.
Participants will explore emerging trends in AI and nanotechnology, which are essential for driving future advancements in healthcare and industrial applications. Additionally, the program includes 14 comprehensive sessions covering theory, article discussions, and hands-on training labs.
To ensure a high-quality learning environment, the program is open to a specific audience of professionals and scholars.
The curriculum is structured to provide a deep dive into both AI and Material Science.
The program features an esteemed panel of experts from academia and industry.
Upon completion, the FDP will serve as a crucial steppingstone for faculty members seeking to leverage the power of AI in their research on nanocomposite hydrogels. Participants will gain a deeper understanding of material preparation, characterization, and anti-microbial applications. Ultimately, fostering expertise in AI-driven material science will catalyze groundbreaking research and innovations in both academic and industrial settings.
The AICTE ATAL Academy has strict guidelines for certification.
Interested candidates must apply through the official AICTE ATAL portal.
| Requirement | Information |
| Portal Link | Click Here |
| FDP Application No | 1741478751 |
| Start Date | February 02, 2026 |
| End Date | February 07, 2026 |
| Fee | NIL |
| FDP Schedule | Download |
| FDP Brochure | Download |
How to Apply: Participants are requested to register using the link of the AICTE ATAL portal. Confirmed participants will be notified upon receipt of the registration form.
For further inquiries, please reach out to the program coordinators.
What is the focus of the ATAL FDP on Artificial Intelligence in Nanocomposite Hydrogels 2026?
The program focuses on applying AI techniques, machine learning models, and predictive modeling to the design, characterization, and drug delivery analysis of nanocomposite hydrogels.
Is there a registration fee for the FDP?
No, there is no registration fee for any participant.
Who is eligible to attend?
Faculty members from AICTE approved institutions, Research Scholars, PG Scholars, and Industry professionals are eligible to apply.
How do I get selected for the program?
Selection is based on a first-come-first-serve basis, as seats are limited to a maximum of 50 participants.
What are the requirements for certification?
You must attend at least 80% of the sessions and score a minimum of 70% marks in the final assessment test.