Renowned AI and Healthcare Expert, Dr. Prashnna K Gyawali, Delivers Insightful Lecture

Dhobighat, Lalitpur – January 4, 2024 — Esteemed computer scientist and Assistant Professor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University, Dr. Prashnna K Gyawali, delivered a captivating lecture on the challenges and advancements in Healthcare AI at Alliance Francaise on Thursday, January 4, 2024.

Dr. Gyawali, known for his distinguished contributions to the field, shared his expertise on the critical junction of machine learning and healthcare. His talk delved into the intricacies of developing robust and fair AI models, emphasizing their application in real-world health and medical challenges. The event drew an engaged audience of 30 participants, including students, professionals, and 10 dedicated volunteers.

Key Points from Dr. Gyawali’s Lecture:

Unbiased Deep Learning Models: Dr. Gyawali discussed his research on developing unbiased deep learning models through the disentanglement of representations. This addresses the challenge of limited generalization across diverse patient populations.
Interpretability in Healthcare AI: The speaker highlighted the critical role of interpretability in healthcare AI and the challenges faced by current deep learning models. He introduced his recent work aimed at overcoming interpretability challenges in the context of real-world clinical settings.
Ongoing Projects in Multimodal Learning: Dr. Gyawali shared insights into his group’s ongoing projects in multimodal learning, showcasing potential advancements and future opportunities in the field. This includes the exploration of foundation models and federated learning.

Program Details:

Date: January 4, 2024, Thursday
Time: 3:30-5:00 pm
Venue: Alliance Francaise, Dhobighat Lalitpur

Participants Demography:

Total Present: 30
Students:
Professionals:
Facebook Live Views During the Event: 993
Volunteers Present: 10

Flow of the Session:

Registration Began: 3:15 pm
Lecture: 3:30-4:15
Q&A: 4:15-4:30
Tea Break and Networking: 4:40-5:00