AI-Driven Future: Emerging Trends and Essential Skills for Data Science Educators

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The Department of Computer Science and Engineering, with specialization in Big Data Analytics and Cloud Computing, SRM Institute of Science and Technology, Ramapuram, is organizing a 5-Day International Webinar Series titled “AI-Driven Future: Emerging Trends and Essential Skills for Data Science Educators” from 9th to 13th November 2026.

The webinar series aims to provide insights into emerging trends in Artificial Intelligence, Data Science, and related technologies, while highlighting essential skills and competencies required by educators to adapt to the evolving technological landscape. The sessions will feature distinguished international speakers from academia and industry, sharing their expertise, research perspectives, and practical experiences.

The event will promote knowledge sharing, professional development, and academic collaboration among faculty members and researchers, fostering awareness of innovative AI-driven approaches in teaching, learning, and research.

Date: 9–13 November 2026
Time: 10:30 AM – 12:30 PM
Venue: Online
Organized by: Department of CSE – Big Data Analytics and Cloud Computing, SRMIST, Ramapuram

 



  Date and Time

  Location

  Hosts

  Registration



  • Add_To_Calendar_icon Add Event to Calendar
  • SRM Institute of Science and Technology
  • Bharathi Salai, Ramapuram, Chennai
  • Chennai – 600 089, Tamil Nadu
  • India 600089

  • Contact Event Host
  • Dr. M. S. Minu, Associate professor,

    CSE-BDA & CC, SRM Institute of Science and Technology, Ramapuram

    minus@srmist.edu.in

  • Starts 08 November 2026 05:30 AM UTC
  • Ends 09 November 2026 12:30 PM UTC
  • No Admission Charge


  Speakers

Dr Elakkiya R of BITS Pilani, Dubai Campus, UAE

Topic:

Emerging AI Trends and Future Directions in Data Science Education

Address:BITS Pilani, Dubai Campus, UAE,

Dr. M. Jalasri of University of Technology and Applied Science, IBRI, Oman

Topic:

AI-Driven Innovations and Applications in Data Science

Address:University of Technology and Applied Science, IBRI, Oman,


Mr. John Jesudian of Engineering Team Lead, People Leadership | .NET/AWS, Plano, Texas, United States

Topic:

Cloud Computing and Emerging Technologies for AI-Driven Data Science

Address:Engineering Team Lead, People Leadership | .NET/AWS, Plano, Texas, United States,

Mr. Karthik Prakash of JLR, Royal Leamington Spa, England, United Kingdom

Topic:

Practical AI Engineering and Real-World Applications

Address:AI Engineer, JLR, Royal Leamington Spa, England, United Kingdom,


Mr. Belfin Robinson of American Board of Pediatrics, North Carolina, United States

Topic:

Future of AI and Data Science: Research, Innovation and Interdisciplinary Applications





Agenda

5 Days International Webinar Series

“AI-Driven Future: Emerging Trends and Essential Skills for Data Science Educators”

Organized by: Department of Computer Science and Engineering, in association with Big Data Analytics and Cloud Computing, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai.

Date: 09.11.2026 to 13.11.2026
Time: 10:30 AM to 12:30 PM (IST)
Mode: Online

Day 1 – 9 November 2026

Resource Person: Dr. R. Elakkiya
Associate Professor, BITS Pilani, Dubai Campus, UAE

Topic: Emerging AI Trends and Future Directions in Data Science Education

  • Welcome address and introduction to the webinar series.

  • Emerging trends in Artificial Intelligence and Data Science.

  • Applications of AI in teaching and learning.

  • Essential skills for future-ready data science educators.

  • Interactive discussion and Q&A session.

Day 2 – 10 November 2026

Resource Person: Dr. M. Jalasri
Lecturer, University of Technology and Applied Science, IBRI, Oman

Topic: AI-Driven Innovations and Applications in Data Science

  • Recent advancements in AI-driven technologies.

  • Integration of AI tools in data science and applied research.

  • Intelligent data analysis and emerging applications.

  • Challenges and opportunities in AI-based education.

  • Interactive discussion and Q&A session.

Day 3 – 11 November 2026

Resource Person: Mr. John Jesudian
Engineering Team Lead, People Leadership | .NET/AWS, Plano, Texas, United States

Topic: Cloud Computing and Emerging Technologies for AI-Driven Data Science

  • Introduction to cloud computing technologies.

  • AWS cloud services and their applications.

  • Integration of AI, cloud computing and data analytics.

  • Industry expectations and essential technical skills.

  • Interactive discussion and Q&A session.

Day 4 – 12 November 2026

Resource Person: Mr. Karthik Prakash
AI Engineer, JLR, Royal Leamington Spa, England, United Kingdom

Topic: Practical AI Engineering and Real-World Applications

  • Introduction to AI engineering and industry practices.

  • AI model development and implementation.

  • Real-world applications of AI in engineering.

  • Industry-oriented skills and career opportunities.

  • Interactive discussion and Q&A session.

Day 5 – 13 November 2026

Resource Person: Mr. Belfin Robinson
AI Scientist, American Board of Pediatrics, North Carolina, United States

Topic: Future of AI and Data Science: Research, Innovation and Interdisciplinary Applications

  • Emerging research directions in AI and Data Science.

  • AI applications in interdisciplinary domains.

  • Opportunities and challenges in AI-driven innovation.

  • Future skills and career pathways for aspiring AI professionals.

  • Interactive discussion and Q&A session.

Common Schedule (Daily)

Time Activity
10:30 AM – 10:40 AM Welcome Address and Introduction
10:40 AM – 11:40 AM Technical Session by Resource Person
11:40 AM – 12:10 PM Interactive Discussion and Q&A
12:10 PM – 12:20 PM Feedback and Participant Interaction
12:20 PM – 12:30 PM Vote of Thanks and Closing Remarks