5-day Online FACULTY DEVELOPMENT PROGRAM (FDP) ON Emerging Trends in Machine Learning and Advanced Functional Materials

Must Read

The National Institute of Technology Warangal is hosting a 5-day Online Faculty Development Program (FDP) on “Emerging Trends in Machine Learning and Advanced Functional Materials” from 6th to 10th July 2026. This program is organized by the Centre for Teaching and Learning (CTL) in association with the Department of Metallurgical and Materials Engineering and the Department of Chemistry. This initiative aims to equip faculty members with cutting-edge knowledge and skills at the intersection of data science and material innovation.

Program Overview

The FDP is designed to provide interdisciplinary knowledge, focusing on the integration of machine learning with advanced functional materials. Participants will explore fundamental and advanced concepts of machine learning, including supervised and unsupervised learning, neural networks, and data-driven modeling. The program emphasizes applications in materials discovery and design, offering insights into nanomaterials, biomaterials, and energy-related materials.

Key Learning Outcomes

  • Understanding the fundamentals of machine learning and its applications in material science.
  • Exploring advanced functional materials and their real-world applications.
  • Hands-on experience with machine learning tools for material optimization and predictive analysis.
  • Enhancing teaching methodologies and integrating modern computational tools into academic curricula.

Program Details

Course Contents

  • Introduction to Advanced Functional Materials
  • Fundamentals of Machine Learning
  • Machine Learning in Thermodynamics and Phase Prediction
  • Quantum Chemistry and Electronic Structure
  • Surface and Interface Chemistry
  • Electrochemistry and Energy Materials

Faculty and Lecturers

The program will be conducted by esteemed faculty members from NIT Warangal, along with academicians from reputed institutes such as IITs, NITs, and IIITs.

Registration and Fees

Participants are required to register online. The registration fees, inclusive of 18% GST, are as follows:

  • Faculty: Rs. 1180/-
  • Students / Research Scholars: Rs. 590/-
  • Industry Participants: Rs. 2360/-

Fees can be paid online using the following details:

Account Name: HEAD, CTL NITW
Account No: 40376545007
IFSC: SBIN0020149
Bank and Branch: SBI, NIT(REC) Warangal

Application Process

Interested participants must fill out the online registration form available at this link. https://forms.gle/tH5322HKtrEKLwLo6 Selection is based on a first-come-first-serve basis, with a maximum of 50 participants, plus an additional 10 from the industry. Selected participants will be notified via email, and certificates will be issued upon successful completion of the course.

Important Dates

Last date for application: 4th July 2026
Selection list announcement: 5th July 2026

Contact Information

For further details, please contact the course coordinators:

Conclusion

This FDP is a unique opportunity for faculty members to enhance their knowledge and skills in machine learning and advanced functional materials. By participating, attendees will be better equipped to integrate modern computational tools into their research and teaching, fostering innovation and collaboration in the field of material science.

🔖 Post Expires on 04th July 2026


Latest News

National Institute of Pharmaceutical Education & Research, Raebareli (NIPER-R) Junior Engineer (Civil)

Explore a prestigious career opportunity at NIPER-Raebareli as a Junior Engineer (Civil), where you'll play a vital role in planning and maintaining infrastructure for cutting-edge pharmaceutical education. With a competitive salary and a chance to impact national importance, this role is perfect for driven civil engineers. Discover how to apply today!

More Articles Like This