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5-day workshop on Artificial Intelligence for biomedical applications

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AI for Biomedical Applications – A Five-Day Workshop

The IEEE Student Branch, MGIT, in association with the IEEE Women in Engineering (WIE) Student Branch Affinity Group, MGIT, and the proposed IEEE Signal Processing Society (SPS) Student Branch Chapter MGIT (MGA Petition in Approval Stage), is organizing a five-day workshop on Artificial Intelligence for Biomedical Applications from 14th to 18th December 2026.

The workshop aims to introduce participants to the applications of Artificial Intelligence and Machine Learning in the biomedical domain, with a combination of expert lectures, research-oriented discussions and hands-on programming sessions.

The programme will be conducted through two sessions each day:

Morning Session (10:00 AM – 12:00 PM): Expert Lectures

Day 1 – 14 December: Introduction to AI/ML and insights into semi-supervised learning models in biomedical applications.
Day 2 – 15 December: Semi-supervised learning with a case study on Obstructive Sleep Apnea.
Day 3 – 16 December: Deep Learning and Explainable AI, conducting literature surveys and identifying research gaps.
Day 4 – 17 December: Biomedical signals and preprocessing, biomedical imaging and Ethical AI.
Day 5 – 18 December: Writing review papers using AI tools.

The morning sessions will be delivered by Prof. Bala Chakravarthy Neelapu.

Afternoon Session (2:00 PM – 5:00 PM): Hands-on Training

Each day will include practical, hands-on training through live programming sessions, enabling participants to explore and apply the concepts introduced during the morning lectures. These sessions will be handled by Nalla Maheswara Rao (PhD Student) and Prof. Bala Chakravarthy Neelapu.

Through this five-day programme, participants will gain exposure to AI/ML methodologies, biomedical applications, practical programming techniques and research practices, while developing an understanding of the role of artificial intelligence in biomedical research and healthcare applications.