AICTE -ATAL Academy sponsored Three Days Workshop is being organised at Bharat Institute of Engineering and Technology under the VAANI scheme

 

Bharat Institute of Engineering & Technology, Hyderabad proudly presents the Three-Day National Level Workshop on “Data-Driven Healthcare: Leveraging Machine Learning for Medical Advancements,” sponsored by the AICTE–ATAL Academy under the VAANI Scheme.

This workshop invites participants to explore how data, algorithms, and intelligent systems are reshaping modern healthcare. From understanding medical datasets… to building predictive models… to discovering real-world ML applications in hospitals and industry—this event is designed to equip learners with both knowledge and hands-on skills.

We gratefully acknowledge our Chief Patrons:
Sri Ch. Venugopal Reddy, Honorable Chairman, Bharat Institutions,
and Sri G. Kumaraswamy Rao, Director BIET and Former Director, DLRL,
for their constant encouragement and vision.

Our workshop features an exceptional panel of resource persons:
Mr. Vidyasagar Tejomurtula, Principal Architect, Zelis Healthcare…
Dr. Abhinav Kumar, Professor, IIT Hyderabad…
Mr. Sitaram Tadepalli, Vice President, ML Engineering…
Dr. Anil Kumar Vuppala, Associate Professor, IIIT Hyderabad…
and Dr. Aneesh Chivukula, Assistant Professor, BITS Pilani, Hyderabad.

Across these three days, participants will engage in expert sessions, demonstrations, interactive discussions, and practical exercises designed to deepen their understanding of AI-driven healthcare solutions.

Organized by the Department of Electronics & Communication Engineering,
Bharat Institute of Engineering & Technology, Hyderabad.

Step in… learn… innovate… and be part of the future of healthcare powered by Machine Learning.

BIET is thankful to the AICTE–ATAL Academy for supporting this initiative. The inclusion of this workshop under the VAANI scheme emphasizes the importance of promoting Indian languages in technical education, ensuring that innovation remains accessible, inclusive, and culturally rooted.