Dr. S P Sreenivas Padala
Dr. S. P. Sreenivas Padala is an Assistant Professor at M.S. Ramaiah University of Applied Sciences, Bangalore, India since 2020. He holds an M. Tech and Ph.D. in Construction Management from IIT Delhi, with his doctoral research focusing on project change management for Indian construction projects. Before academia, Dr. Padala spent five years in the construction industry, primarily in planning and contracts. Currently, he teaches construction management courses to B. Tech and M. Tech students, specializing in areas such as change management, project scheduling optimization, BIM, cost control, machine learning applications, and sustainable construction. His mentoring extends to guiding undergraduate and postgraduate projects in Construction Management, with three Ph.D. students under his supervision in the field of "virtual construction and Sustainability." Dr. Padala has published 10 international journal papers, 9 conference articles, and 5 book chapters. He also contributes as a reviewer for esteemed journals like the International Journal of Construction Management (Taylor and Francis) and Engineering Architecture Construction Management (Emerald).
What to expect during the event
This study seeks to create a specialized multi-objective optimization (MOO) framework for early-stage building volumetric analysis, emphasizing 3D volumetric optimization to enhance space utilization, human comfort, constructability, and rental value, ultimately reducing the need for major design changes during construction. The framework integrates Building Information Modeling (BIM) to generate accurate volume data in the initial project phases, followed by the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) for optimizing 3D BIM-derived data across four objectives: space utilization, thermal comfort, rental value, and construction cost. A practical application of this integrated approach is demonstrated in a school of architecture project. The study reveals substantial benefits, such as a 30% increase in space utilization, 20% improvement in thermal comfort, 10% lower construction costs, and an impressive 33% boost in the rental value of the case study building following MOO implementation. This research pioneers the synergy between BIM and MOO, offering a novel approach for optimizing building volumes during early design stages, enhancing the efficiency and effectiveness of design processes for project teams.
1. Innovative BIM-MOO framework enhances building design process.
2. BIM and NSGA-II optimize building volumes efficiently.
3. Tangible benefits: Improved space utilization, comfort, cost, and rental value.
BIM-Integrated Optimization Workflow for Improving Building Performance
