Dr. Swarup Mahato earned his Ph.D. in Structural Engineering from the Indian Institute of Technology Guwahati in 2019, where his work focused on developing time–frequency-based signal processing approaches for modal parametric identification. He obtained his M.Tech. in Structural Engineering from the same institute in 2013, completing a thesis on fragility analysis and performance-based design of reinforced concrete frames. His academic foundation was built at Bengal Engineering & Science University, Shibpur, where he graduated with a B.E. in Civil Engineering in 2010. Over the course of his studies, he was supported by MHRD fellowships and developed expertise in structural dynamics, probabilistic analysis, and performance-based design. His broader research interests now span vibration-based structural health monitoring, signal processing for condition assessment and predictive maintenance, time–frequency analysis, data-driven modeling, wireless sensing networks, and bridge dynamics.
Professionally, Dr. Mahato has accumulated diverse experience in academia, research, and industry across India and Europe. Since August 2025, he has been serving as an Assistant Professor in the Department of Civil Engineering at the Indian Institute of Engineering Science and Technology (IIEST), Shibpur, where he teaches at both undergraduate and postgraduate levels while pursuing research in inverse dynamics, vibration control, and condition assessment. Prior to this, he worked as a Project Researcher at Aarhus University, Denmark (2024–2025), contributing to the development of digital twin technology for parameter estimation and virtual sensing. From 2021 to 2023, he held a Project Researcher position at Kaunas University of Technology, Lithuania, focusing on photogrammetry and digital image correlation for damage prognosis in flexible structures. Earlier appointments include Project Fellow at IIT Guwahati (2021), Postdoctoral Researcher at Université Gustave Eiffel, France (2020–2021), where he developed vibration-based monitoring algorithms for wind turbines, and Research Engineer at ABB, Bengaluru (2019–2020), working on predictive maintenance and Industry 4.0 solutions. His professional journey began as a Design Engineer at M.N. Dastur & Company, Kolkata (2010–2011). Dr. Mahato’s work has been recognized with awards such as the MUSIWIND Postdoctoral Fellowship and the Best Paper Award in Structural Health Monitoring by ISSS and Springer. He actively contributes to the scholarly community as a reviewer for international journals, including Structures (Elsevier), Mechanical Systems and Signal Processing (Elsevier), IEEE Access, and Engineering Research Express (IOP Science), and holds memberships in professional societies such as ASCE, SEI, and ISHMII.
Dr. Swarup Mahato’s research focuses on advancing Structural Dynamics and Structural Health Monitoring (SHM), with emphasis on data-driven system identification, model updating, damage detection, and vibration control. His work integrates stochastic subspace identification, signal processing, statistical learning, and sensor networking to improve the accuracy and reliability of structural condition assessment. He has also contributed to methodologies for bridge rating and performance evaluation, aiming to link monitoring insights with codal compliance and decision-making frameworks. More recently, his research has expanded toward cyber-physical sensing, combining experimental data, numerical modeling, and adaptive monitoring to establish predictive and prognostic tools for civil and mechanical infrastructure. His long-term vision is to enable intelligent SHM systems that unify advanced sensing, digital twins, and computational intelligence, thereby supporting real-time diagnostics, infrastructure resilience, and lifecycle management.
Created: 23 November 2019
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