The Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore is conducting a webinar on “Speech Processing for Healthcare Applications” on April 17th, 2026 (Friday), 06.00 – 07.30 PM IST.
The Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore is conducting a webinar on “Speech Processing for Healthcare Applications” on April 17th, 2026 (Friday), 06.00 – 07.30 PM IST.
Third year / Final year UG / PG / Research Scholars from various institutions who are interested in working in the field of AI for Biomedical Applications are encouraged to attend the webinar.
Eligibility: Applicable to candidate holding a B.E/ B.Tech in Electronics and Communication Engineering, Electrical and Electronics Engineering, Electronics and Instrumentation Engineering, Biomedical Engineering, Chemical Engineering, Mechatronics Engineering, Bio-Technology, Artificial Intelligence and allied branches),or equivalent five-year degree in M.Sc. Electronics, M.Sc Physics, M.Sc Chemistry, M.Sc Microbiology, M.Sc Data Science
Mode: Online
Meeting link will be shared through e-mail and WhatsApp. Please join 5 minutes early
Registration Fee: Free
Abstract: This session provides a high-level overview of how AI has evolved in the past 3–4 years, focusing on breakthroughs in large language models, multimodal AI, and agentic systems. It highlights what has changed technically, why it matters now, and how these advancements are reshaping industries such as publishing, research, and software development.
Harshal Tupsamudre is an AI practitioner at Springer Nature, working on the application of large language models and machine learning systems in high-impact research and publishing workflows. Before joining Springer Nature, Harshal was associated with leading research and industry organizations including TCS Research and IBM Research, where he worked on applied machine learning and cybersecurity research. During this time, he published papers and patents on problems such as phishing detection, privacy-preserving machine learning, usable security, and AI-assisted security controls, bridging academic research with real-world industrial challenges