FDP on Emerging Research Trends in Computer Science at Yenepoya (Deemed to be University), Mangalore

Yenepoya School of Engineering and Technology (YSET), Mangalore, Karnataka, is inviting Research Scholars, Faculty Members, Industry Persons, and PG Students to participate in a 5-Day Hybrid Hands-On Faculty Development Programme (FDP) on Emerging Research Trends in Computer Science: AI and Quantum Technologies. This FDP is organized by the Department of Computer Science & Engineering and will be conducted in both offline and online modes from 6th July 2026 to 10th July 2026. Last date for registration is 5th June 2026. Don’t miss this opportunity to enhance your research skills.

   

Official Notification Reference File: YSET – FDP Notification 2026 Authorization Letter

Date Posted: 24th June 2026

Hiring Organization Name: Yenepoya School of Engineering and Technology, Yenepoya (Deemed to be University), Mangalore, Karnataka

Organization Profile: Yenepoya School of Engineering & Technology (YSET), a constituent of Yenepoya (Deemed to be University), offers a world-class educational experience in a vibrant and learner-centric environment. With a team of highly qualified faculty members and modern technology-enabled teaching methodologies, YSET is committed to delivering quality education through interactive and outcome-oriented learning.

The institution provides state-of-the-art infrastructure, including advanced computing facilities and well-equipped laboratories designed to foster innovation, collaboration, and hands-on learning. By integrating academic excellence with industry-relevant skills and research-driven education, YSET strives to nurture competent professionals, innovators, and future leaders capable of making meaningful contributions to society.

With its strong academic foundation, cutting-edge infrastructure, and commitment to excellence, YSET continues to inspire and empower the next generation of engineers, researchers, and technology leaders.

Event Name: 5-Day Hybrid Hands-On FDP on Emerging Research Trends in Computer Science: AI and Quantum Technologies

Event Type: Faculty Development Programme (FDP)

FDP Mode: Hybrid (Offline / Online)

Organizing Department: Department of Computer Science & Engineering

Topics Covered:

  • Research Foundations and Emerging Directions in CSE: AI-Driven Productivity and Scientific Publishing
  • Generative AI and Large Language Models: Foundations, Innovations, and Real-World Applications
  • Artificial Intelligence for Precision Healthcare: Research Frontiers and Opportunities
  • Quantum Computing: Principles, Technologies, and Next-Generation Computing Paradigms
  • Cyber Security in the AI Era: Research Trends and Real-World Applications

Who Can Participate:

  • Research Scholars
  • Faculty Members
  • Industry Persons
  • PG Students

Registration Fee:

  • Industry Participants: ₹1000
  • Faculty / Research Scholars: ₹490
  • Students / Yenepoya (DU) Faculty & Research Scholars: ₹350

Payment Details: Payment can be made through any UPI-enabled application using the following details: UPI ID: sidheeque2959@ybl UPI-linked Mobile Number: 9895102959 Banking Name: MOHAMMED SIDHEEQUE

Job Location: Mangalore, Karnataka

Apply Mode: Online (Google Form)

Last Date to Apply: 5th June 2026

Event Start Date: 6th July 2026

Event End Date: 10th July 2026

Organization Website: www.yset.yenepoya.edu.in

How to Apply: Interested candidates can register online through the official Google Form link available on the institution’s website. The last date for registration is 5th June 2026. Complete the registration form and make the applicable fee payment through UPI before the deadline to confirm your participation.

To Submit Online Application: Google Form Link – Click Here (as provided in the official brochure)

Organization Address:
Yenepoya Complex Balmatta
Mangalore – 575 002 Karnataka, India

Contact Number: 9895102959 (Dr. Mohammed Sidheeque, Associate Professor & FDP Coordinator)

Reference Source: This FDP notification was received directly from the institution.


Benefits of Joining Yenepoya School of Engineering and Technology FDP:

  • Gain hands-on training in cutting-edge areas like AI, Large Language Models, Quantum Computing, and Cybersecurity
  • Learn how to identify meaningful research problems and adopt the right research methodologies
  • Get practical guidance on writing and publishing quality research papers in reputed journals
  • Understand how to ethically use AI tools to enhance research productivity
  • Network with fellow researchers, faculty, and industry professionals across India
  • Receive participation certificate from Yenepoya (Deemed to be University), a recognized institution
  • Access both offline and online participation modes for flexibility and convenience

Guidelines for Candidates to Register for Yenepoya School of Engineering and Technology FDP:

  • Read the official FDP brochure and notification carefully before registering
  • Ensure you fall under one of the eligible categories: Research Scholar, Faculty, Industry Person, or PG Student
  • Choose the correct registration fee category applicable to your profile before making payment
  • Complete the UPI payment to the authorized account of Dr. Mohammed Sidheeque before submitting the form
  • Fill in the online Google Form accurately with your name, institution, and payment details
  • Ensure registration is completed on or before 5th June 2026; late registrations may not be accepted
  • Keep a screenshot or acknowledgement of your payment for future reference
  • For any queries, contact Dr. Mohammed Sidheeque at 9895102959 before the registration deadline

The 5-Day Hybrid FDP on Emerging Research Trends in Computer Science: AI and Quantum Technologies, organized by Yenepoya School of Engineering and Technology, Mangalore, is a valuable opportunity for faculty, researchers, and students to strengthen their research capabilities. Register before 5th June 2026 and take a step forward in your academic and research journey.

Frequently Asked Questions:

1. What is the FDP organized by Yenepoya School of Engineering and Technology about? Yenepoya School of Engineering and Technology, Mangalore, is organizing a 5-Day Hybrid Hands-On Faculty Development Programme on Emerging Research Trends in Computer Science, focusing on AI, Large Language Models, Quantum Computing, Cybersecurity, and AI for Healthcare.

2. When will the FDP at Yenepoya (Deemed to be University) be held? The FDP will be conducted from 6th July 2026 to 10th July 2026 in hybrid mode, meaning participants can attend either offline at the Mangalore campus or online from their location.

3. Who is eligible to participate in the YSET FDP on AI and Quantum Technologies? Research Scholars, Faculty Members, Industry Persons, and PG Students are all eligible to participate in this Faculty Development Programme organized by the Department of Computer Science & Engineering, YSET.

4. What is the registration fee for the Yenepoya FDP 2026? The registration fee is ₹1000 for Industry Participants, ₹490 for Faculty and Research Scholars, and ₹350 for Students and Yenepoya (DU) Faculty and Research Scholars. Payment can be made via UPI.

5. What is the last date to register for the YSET Faculty Development Programme? The last date for registration for this FDP at Yenepoya School of Engineering and Technology, Mangalore, is 5th June 2026. Candidates are advised to complete registration and payment well before the deadline.

6. How can I apply for the Yenepoya FDP on Emerging Research Trends in Computer Science? Candidates can apply online through the official Google Form link shared by the institution. After filling the form, payment must be made through UPI to the authorized account details provided in the notification.

7. What are the key topics covered in this Faculty Development Programme at YSET, Mangalore? The FDP covers five major areas: Research Foundations and AI-Driven Scientific Publishing, Generative AI and LLMs, AI for Precision Healthcare, Quantum Computing, and Cybersecurity in the AI Era, offering both theoretical knowledge and hands-on implementation experience.


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