Dr. Laxman Prasad of Group Adviser, RKG Group, Ghaziabad and Ex Adviser, DST, Ministry of S&T, Govt of India

This keynote session explored the fundamental principles of signal processing and its transformative journey over the decades. Dr. Laxman Prasad emphasized how signal processing serves as the backbone of modern technologies across communications, healthcare, and intelligent systems. The talk highlighted the pivotal role of student-driven research in advancing this domain, encouraging young minds to engage with real-world challenges and develop innovative, interdisciplinary solutions. Through personal insights and practical examples, the speaker inspired attendees to contribute meaningfully to the future of signal processing.

Biography:

Dr. Laxman Prasad is an eminent Indian scientist whose impactful contributions have significantly shaped the landscape of science, technology, and innovation in the country. He holds a degree in Electrical Engineering and a Ph.D. in Electronics Engineering from IIT-BHU, one of India’s most prestigious institutions. Dr. Prasad served in several key roles within the Department of Science and Technology (DST) and retired as an Advisor, having led numerous initiatives aimed at promoting indigenous innovation and scientific development. His work with important bodies such as the Technology Development Board, Drug Development Promotion Board, and National Water Programs has addressed vital national challenges and empowered local technological growth. Internationally, Dr. Prasad has represented India in global forums like UNESCO, WIPO, OECD, and SAARC, contributing to international dialogues on science and innovation. In recognition of his service, he was awarded the FIE Foundation National Award, reflecting his lifelong dedication to scientific advancement and societal well-being. Currently, he continues to guide young minds as a Group Advisor at RKGIT College, Ghaziabad, where he mentors the next generation of innovators and change makers.

Email:

Address:New Delhi, Delhi, India, 110042

Dr. Sagar Deep Deb of Postdoctoral Fellow at IIT Bombay

This session explored the application of cutting-edge artificial intelligence techniques in the domain of biomedical imaging. Dr. Sagar Deep Deb presented an insightful overview of how deep learning models—especially Convolutional Neural Networks (CNNs) and U-Net architectures are transforming the landscape of medical diagnostics through accurate and efficient image segmentation and disease classification.

The talk addressed real-world imaging modalities such as X-rays, CT scans, mammograms, and ultrasound images, and demonstrated how AI models are enabling faster, more reliable, and scalable analysis. Dr. Deb also discussed the challenges in biomedical AI, including data scarcity, annotation difficulties, and the need for interpretable models.

The session concluded with a motivating interaction encouraging students to pursue research in biomedical signal processing and AI, emphasizing interdisciplinary collaboration and societal impact.

Biography:

Dr. Sagar is currently serving as an Institute Postdoctoral Fellow in the Department of Biosciences and Bioengineering at IIT Bombay. He completed his Ph.D. from IIT Patna in 2024 and holds an M.Tech. from NIT Silchar. His research has been focused on various types of biomedical images including X-rays, CT scans, mammograms, and ultrasound images, developing deep learning-based techniques for their segmentation and classification. His core research interests lie in Biomedical Signal Processing, empowered by Artificial Intelligence and Machine Learning. 

Email:

Address:INDIAN INSTITUTE OF TECHNOLOGY (IIT), BOMBAY, POWAI IIT, , Mumbai, Maharashtra, India, 400076