Symbiosis International (Deemed University) | India
Sahas V Swamy is a passionate researcher and educator specializing in artificial intelligence, machine learning, and data science, with extensive experience in predictive modeling and interdisciplinary applications. He has contributed significantly to the development of AI-based frameworks for estimating the physico-mechanical and geo-mechanical properties of rocks and minerals, leveraging advanced soft computing methods and deep learning techniques. His research spans predictive modeling, statistical analysis, and computational simulations applied to mining, rock mechanics, and industrial processes. With experience mentoring undergraduate and postgraduate students, he has successfully guided projects on deep learning for rock physics, time-series forecasting, and AI-driven data analytics. His scholarly contributions include multiple high-impact journal publications, book chapters, and presentations at national and international conferences. He has also actively participated in organizing workshops, conferences, and research initiatives, contributing to academic excellence and knowledge dissemination. Recognized for his commitment to advancing applied research, he has received fellowships, international travel grants, and awards for research excellence. His work demonstrates a strong integration of theoretical insights with practical solutions in AI, machine learning, and predictive modeling, highlighting his dedication to innovation, mentorship, and the broader scientific community.
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