Srinath University, Jamshedpur, Jharkhand, is inviting participation for a Faculty Development Programme (FDP) on the impact of Artificial Intelligence and Machine Learning in Mechanical Engineering for Sustainable Development. Organized by the Department of Mechanical Engineering, School of Engineering, this five-day online FDP will be held from 21st July 2026 to 25th July 2026. Faculty members, research scholars, PG/UG students, and industry professionals interested in this Faculty Development Programme can register before 20th July 2026.
Official Notification Reference file: SU-FDP-2026 Authorization Letter

Date Posted: 09th July 2026
Hiring Organization Name: Srinath University
Event Name: Impact of Artificial Intelligence and Machine Learning in Mechanical Engineering for Sustainable Development
Event Type: Faculty Development Programme (FDP)
Organizing Department: Department of Mechanical Engineering, School of Engineering
Event Mode: Online
Event Start Date: 21st July 2026
Event End Date: 25th July 2026
About the FDP: This five-day online Faculty Development Programme is designed to introduce faculty members, researchers, and industry professionals to the growing role of Artificial Intelligence and Machine Learning in Mechanical Engineering. The programme covers AI-driven manufacturing, predictive maintenance, additive manufacturing, advanced materials, and sustainable engineering practices, giving participants practical insight into applying AI and ML in teaching, research, and industry work.
Topics Covered:
- Role of AI in Additive Manufacturing
- Impact of AI in Mechanical Engineering
- Polymers and Composite Materials
- Applications of Machine Learning in Manufacturing Processes
- AI-driven Predictive Maintenance
- Smart Manufacturing for Sustainable Mechanical Engineering
Resource Persons:
- Dr. T.V.K. Gupta, Associate Professor (ME), VNIT Nagpur
- Dr. Ranjeet Kr. Sahu, Assistant Professor (ME), NIT Surathkal
- Dr. Saikat Ranjan Maity, Associate Professor (ME), NIT Jamshedpur
- Dr. R. Vaira Vignesh, Assistant Professor (ME), Amrita School of Engineering, Coimbatore
- Prof. (Dr.) Anshuman Srivastava, Indian Institute of Packaging, Lucknow
- Dr. Jitendra Kr. Katiyar, Associate Professor (ME), MIT Manipal
- Dr. Ranjan Kr. Ghadai, Associate Professor (ME), MIT Manipal
- Dr. Akash Kumar Bhoi, Assistant Professor (ETCE), Symbiosis Institute of Technology, Pune
- Dr. Abhinandan Kumar, Assistant Professor (ME), Srinath University
Who Can Participate: Faculty members, research scholars, PG/UG students, and industry professionals are eligible to participate in this Faculty Development Programme.
Registration Details:
- Registration Starts: 25th June 2026
- Last Date of Registration: 20th July 2026
Registration Process: Interested candidates can register for this Faculty Development Programme, Jamshedpur, before the last date of 20th July 2026.
Contact Person (Convener): Dr. Kamlendra Vikram, Assistant Professor (ME), Department of Mechanical Engineering
Contact Number: 7418230106, 8074189208
Organization address:
Srinath University Jamshedpur,
Jharkhand– 831013
Reference Source: This event notification was received directly from the institution.
Benefits of Attending this FDP:
- Learn how AI and ML are transforming Mechanical Engineering practice
- Gain insight from experienced speakers across leading institutions like VNIT Nagpur, NIT Surathkal, and NIT Jamshedpur
- Understand real-world applications in predictive maintenance, additive manufacturing, and sustainable engineering
- Earn a certificate of participation from Srinath University (assumed standard for FDPs — confirm with source before publishing, as it is not mentioned in the document)
Guidelines for Candidates to Register:
- Register before the last date, 20th July 2026
- Keep necessary academic and professional details ready before registration
- For queries, contact the FDP convener directly on the numbers listed above
- Attend all five days of the programme for full benefit
This FDP offers a timely opportunity for mechanical engineering faculty and researchers to explore how AI and ML are reshaping the field. With expert speakers, practical topics, and flexible online access, it’s a valuable five days for anyone in academia or industry looking to stay current, Jamshedpur.
Frequently Asked Questions:
1. What is the Srinath University FDP on AI and ML in Mechanical Engineering about? It is a five-day online Faculty Development Programme covering the role of AI and ML in mechanical engineering, focused on sustainable development practices.
2. When is the Srinath University FDP scheduled? The FDP will run from 21st July 2026 to 25th July 2026.
3. What is the last date to register for this Faculty Development Programme? The last date to register is 20th July 2026.
4. Is the Srinath University FDP online or offline? This FDP is conducted entirely in online mode.
5. Who can participate in the Srinath University Faculty Development Programme? Faculty members, research scholars, PG/UG students, and industry professionals can participate.
6. Who is organizing this FDP at Srinath University? The FDP is organized by the Department of Mechanical Engineering, School of Engineering, Srinath University, Jamshedpur.
7. Who should be contacted for queries about this FDP? Dr. Kamlendra Vikram, the FDP convener, can be contacted at 7418230106 or 8074189208 for any queries.
Copyright Disclaimer: This content is the exclusive intellectual property of facultyplus.com and is published only with official authorization from the concerned institution. Any unauthorized copying, reproduction, republication, redistribution, modification, transmission, display, or use of this content, in whole or in part, in any form or by any means, without prior written permission from facultyplus.com, is strictly prohibited.
Disclaimer: The information provided in this job post is published for informational purposes only. Candidates are advised to verify all details directly from the official website or notification of the respective institution before applying. Facultyplus.com is not responsible for any changes, errors, or recruitment-related decisions made by the organization.

