DEPUTY HEAD’S MESSAGE
Deputy Head
Dr. Chandrakant R. Sonawane is a distinguished academician and researcher in the domain of Mechanical engineering, Computational Fluid Dynamics (CFD), and interdisciplinary energy systems. With over two decades of experience spanning teaching, research, and academic administration, he has made significant contributions to advanced simulation techniques, Material simulations, heat and mass transfer, and applied nanotechnology-driven solutions. His research integrates CFD, artificial intelligence, and high-performance computing to address real-world engineering challenges in material developments, energy systems, sustainability, and thermal management.
With an extensive portfolio of over 100 peer-reviewed publications, funded research projects exceeding ₹100 lakhs, and multiple patents, Dr. Sonawane has established himself as a leading contributor to applied engineering research. His work bridges fundamental fluid mechanics with emerging technologies such as AI-based modeling, renewable energy systems, and nanoscience applications. Through interdisciplinary collaborations, industry engagement, and student mentorship, he actively contributes to innovation-driven research and technology development.
Dr. Sonawane holds a Ph.D. in Computational Fluid Dynamics from the Indian Institute of Technology Bombay ((IITB), Mumbai, India. He is currently serving as Professor (Research Cadre) and Deputy Head at the Symbiosis Centre for Nanoscience and Nanotechnology (SCNN), Symbiosis International (Deemed University), Pune. He also served as Head of Examination and Professor in the Department of Robotics and Automation at Symbiosis Institute of Technology, Pune. Over his career, he has held key academic and administrative positions including Dean Academics, Associate Professor, and Assistant Professor at reputed institutions. His professional journey reflects strong leadership in curriculum development, research project management, and institutional development.
Dr. Sonawane’s research focuses on computational modeling and simulation of fluid flow and heat transfer phenomena, particularly involving multiphase flows, moving boundary problems, and energy systems. His work extends to applications in solar energy, electric vehicle battery thermal management, desalination systems, and waste management. He actively explores the integration of artificial intelligence techniques, including regression and neural networks, with CFD for enhanced predictive modeling. His research also contributes to material simulation for nanoscience and nanotechnology applications, particularly in sustainable energy systems and advanced materials.
Contact Information: Symbiosis Centre for Nanoscience and Nanotechnology (SCNN)
Symbiosis International (Deemed University), Lavale, Pune – 412115
Phone: +91 9421707057
Email: dyhead@scnn.edu.in
Research Profile:
Google Scholar: www.scholar.google.co.in
ORCID: www.orcid.org