Welcome to Vishwa Build AI

Dr. Sujith Mangalathu is a prominent researcher specializing in the application of Machine Learning (ML) and Data Analytics for the risk assessment and service-life management of structural and infrastructure systems. He earned his Ph.D. in structural engineering from the Georgia Institute of Technology in 2017, following his M.Tech. from IIT Madras. His highly-cited work is centered on using advanced ML techniques, such as SHAP and XGBoost, to create interpretable fragility and reliability curves for complex systems. He has been recognized with the prestigious VAJRA fellowship by the Department of Science and Technology, India, and the Nevada Medal for Distinguished Graduate Student Paper in Bridge Engineering.

Dr. Robin Davis is an Associate Professor in the Department of Civil Engineering at NIT Calicut, specializing in Structural Engineering with a focus on seismic performance and advanced construction materials. He holds a Ph.D. from IIT Madras and brought significant industry experience from major firms like L&T Valdel and Petrofac Engineering Services. His research interests are centered on Structural Dynamics, Seismic Engineering, and developing novel, sustainable construction solutions. Dr. Davis is a pioneer in integrating IoT and Machine Learning for real-time structural health monitoring and early-age concrete strength assessment.

Dr. P. C. Ashwin Kumar is an Assistant Professor in the Department of Earthquake Engineering, IIT Roorkee. His research primarily focuses on the seismic response and design of steel structures, supplemental damping and energy dissipating devices, and large-scale structural testing and simulations. With over 6 years of research experience, Dr. Ashwin Kumar has published extensively in reputed international journals and is currently supervising 8 Ph.D. scholars. He is an Affiliate Member of ASCE and a Life Member and Secretary of the Indian Society of Earthquake Technology (ISET).

Dr. Muhamed Safeer Pandikkadavath is an Assistant Professor in the Department of Civil Engineering at NIT Calicut, specializing in Structural and Earthquake Engineering. He completed his B.Tech from Government Engineering College Thrissur, followed by his M.Tech and Ph.D. from IIT Delhi. Dr. Pandikkadavath's research focuses heavily on the seismic performance and vulnerability assessment of steel structures, particularly utilizing and optimizing Buckling-Restrained Braced Frames (BRBFs). Recently, he has extended his expertise to incorporate advanced methodologies like Machine Learning (ML) for the seismic damage evaluation and robustness assessment of structures.

Prof. Anisha A is an Associate Professor at Rajiv Gandhi Institute of Technology (Government Engineering College, Kottayam), and holds a Ph.D. from NIT Calicut. She specializes in applying advanced machine learning techniques for flood assessment, vulnerability analysis, and disaster risk modeling. Her notable work on the 2018 Kerala floods has provided valuable insights into data-driven flood damage prediction and resilience planning. Prof. Anisha has published her research in reputed international journals and actively contributes to developing AI-based solutions for disaster management.