Apresentação Pessoal

Dr. Subhrajit Dutta is an Assistant Professor in the Department of Civil Engineering at National Institute of Technology Silchar, India, and an Invited Researcher in the Faculty of Engineering at the University of Porto. He completed his Ph.D. in Civil Engineering from Indian Institute of Technology Bombay, India, in 2017, where he was a recipient of the MHRD (GoI) scholarship for Graduate study. Subhrajit received his Bachelor of Technology degree in Civil Engineering from National Institute of Technology Silchar in 2010. After his B.Tech, he joined Indian Oil Corporation Limited, Guwahati Refinery, India, where he served for about 2 years before joining IIT Bombay, India, for his Post-Graduate study. He was working as an Assistant Professor in NIT Meghalaya, India after his PhD, and joined his position at NIT Silchar, India in June, 2018. Subhrajit’s research group is currently working on areas like, probabilistic structural mechanics, system reliability/risk analysis, uncertainty quantification, structural optimization under uncertainty, structure & infrastructure resilience, data-driven physics-informed modeling, risk-based decision making, to mention a few. Subhrajit is the Associate Editor of Practice Periodical on Structural Design and Construction, ASCE and the Guest Editor for ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. Subhrajit is also the Associate Review Editor for Frontiers in Sustainable Cities. He is in the editorial board of Springer book series on Structural Integrity. He was working as a visiting scholar in the Department of Civil Engineering at Aalto University, Finland during December, 2019.

Selected publications:

• Mukherjee S, Lu D, Raghavan B, Breitkopf P, Dutta S, Xiao M, Zhang W (2021), Accelerating large-scale topology optimization: State-of-the-art and challenges. Archives of Computational Methods in Engineering, Springer. (Accepted, in press)
• Sen MK, Dutta S, Kabir G, Pujari NN, Laskar SA (2021), An integrated approach for modelling and quantifying housing infrastructure resilience against flood hazard, Journal of Cleaner Production, Elsevier, 288, 125526.
• Das S, Dutta S, Adak D, Majumdar S (2021), On the crack characterization of reinforced concrete structures: Experimental and data-driven numerical study, Structures, Elsevier, 30, 134-145.
• Sen MK, Dutta S, Laskar JI (2021), A hierarchical Bayesian network model for flood resilience quantification of housing infrastructure systems, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(1), 04020060.
• Dutta S, Gandomi AH (2020), Bi-level data-driven modeling framework for high-dimensional structural optimization under uncertainty problems, ASCE Journal of Structural Engineering, 146(11), 04020245.
• Dutta S (2020), A sequential metamodel-based method for structural optimization under uncertainty, Structures, Elsevier, 26, 54-65.
• Xiao M, Lu D, Breitkopf P, Raghavan B, Dutta S, Zhang W (2020), On-the-fly model reduction for large-scale structural topology optimization using Principal Components Analysis, Structural and Multidisciplinary Optimization, Springer, 62(1), 209-230.
• Dutta S, Ghosh S, Inamdar MM (2018), Optimisation of tensile membrane structures under uncertain wind loads using PCE and kriging based metamodels, Structural and Multidisciplinary Optimization, Springer, 57(3), 1149–1161.

Áreas de Interesse

1. Technological sciences > Engineering > Civil engineering > Structural engineering
2. Technological sciences > Engineering > Civil engineering > Infrastructures engineering