Dr.Partha Sengupta | Structural Health Monitoring | Best Researcher Award
AECOM,India
Profile
Education
He holds a Ph.D. in Civil Engineering from the Indian Institute of Engineering Science and Technology (IIEST), Shibpur (2018–2023), with a perfect CGPA of 10/10. His doctoral research focused on “Finite Element Model Updating of Structures in Bayesian Framework and Enhanced Model Reduction Techniques.” Prior to this, he completed his M.Tech in Civil Engineering from IIEST, Shibpur (2014–2016), earning a CGPA of 9.03/10, with a thesis on the “Application of Ground Penetrating Radar in Concrete Evaluation, Pavement Profile, and Utility Detection.” He obtained his B.Tech in Civil Engineering from West Bengal University of Technology (2010–2014) with a CGPA of 9.02/10.
Professional Experience
Dr. Partha Sengupta conducts research in Structural Health Monitoring, focusing on model updating within a Bayesian framework using an enhanced model reduction technique with incomplete modal and time history response data. His work involves developing an iterative model reduction technique in the frequency domain by eliminating stiffness terms from the transformation equation, effectively mapping the full model and predicting its dynamic responses. The modified equation depends on measured modal responses and invariant mass matrices, eliminating the need for repeated evaluations of stiffness terms typically required in structural health monitoring (SHM) updating algorithms. Furthermore, this model reduction approach is integrated with a sub-structuring scheme, making it applicable to large finite element models. Additionally, Dr. Sengupta has developed an improved Bayesian model updating technique within the Transitional Markov Chain Monte Carlo (TMCMC) framework in the frequency domain, incorporating modifications to enhance the TMCMC algorithm.
AWARDS & ACHIEVEMENTS:
He received the Professor Amiya K. Basu Research Award in Structural Dynamics from the Department of Civil Engineering, IIEST Shibpur, and an additional monthly stipend of ₹10,000 from MHRD in 2022, along with his institute fellowship. He was also awarded the Best Paper Award in “Control and Health Monitoring” at the International Conference on Materials, Mechanics, and Structures (ICMMS 2020) in Kozhikode, India. As a reviewer, he has contributed to the G20 C20 International Conference on Interdisciplinary Approaches in Civil Engineering for Sustainable Development, published by Springer Nature, as well as Engineering Structures and Computer Methods in Applied Mechanics and Engineering, prestigious SCI journals published by Elsevier. Additionally, he received the Ministry of Human Resource and Development (MHRD) Institute Fellowship for pursuing his Ph.D. and M.Tech, having qualified GATE 2014 with a 99 percentile.
Publications
- An improved iterative model reduction technique to estimate the unknown responses using limited available responses
P Sengupta, S ChakrabortyMechanical Systems and Signal Processing 182, 109586
- An improved Bayesian model updating framework by enhanced iterative model reduction technique in time domain
P Sengupta, S ChakrabortyJournal of Sound and Vibration 549, 117589
- Markov Chain Monte Carlo simulation based Bayesian updating of model parameters and their uncertainties
P Sengupta, S ChakrabortyStructural Engineering and Mechanics 81 (1), 103-115
- A two-stage Bayesian model updating framework based on an iterative model reduction technique using modal responses
P Sengupta, S ChakrabortyComputer Methods in Applied Mechanics and Engineering 417, 116448
- Bayesian Updating of Structures Based on a Metropolis–Hastings-Based Heteroscedastic Hierarchical Model
P Sengupta, SK Mishra, S ChakrabortyRecent Developments in Structural Health Monitoring and Assessment …
- Bayesian approach of model updating of structural parameters with simulated modal data
P Sengupta, S ChakrabortyIOP Conference Series: Materials Science and Engineering 936 (1), 012017
- Gaussian Mixture–Based Autoregressive Error Model with a Conditionally Heteroscedastic Hierarchical Framework for Bayesian Updating of Structures
P Sengupta, S Chakraborty, SK MishraASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …
- Bayesian Model Updating in Time Domain by an Iterated Model Reduction Technique
P Sengupta, S Chakraborty
Lecture Notes in Civil Engineering 329, 1-13Model reduction technique for Bayesian model updating of structural parameters using simulated modal data
P Sengupta, S ChakrabortyASPS Conference Proceedings 1 (5), 1403-1412