Dr. Subhamoy Sen
Associate Professor, School of Civil and Environmental Engineering
Research Interests
Contact Information
Biography
Education & Experience
Research Focus
Doctoral Thesis
Title: Control theory based structural health monitoring using measured vibration response
Summary:
The study applies control theory techniques like eigenstructure assignment and Kalman filtering to assess the health of civil infrastructure systems under model and measurement uncertainties. It focuses on creating economical and efficient algorithms by reducing instrumentation and computation costs without compromising precision.
Postdoctoral Research
Title: Development of robust and noise adaptive particle filtering based algorithm for structural health monitoring
Summary:
This research addresses systems with correlated noise and changing environments. It introduces a particle filter algorithm that outperforms Kalman-type methods in such conditions, enhancing robustness and adaptability in structural monitoring.
Laboratory
Name: Information and Statistics for Stochastic Structural Systems (i4S)
Website: https://www.i4siitmandi.com/
Contact: teami4s.iitmandi@gmail.com | +91-1905-267-261
Address: School of Civil & Environmental Engineering, IIT Mandi, Kamand, Himachal Pradesh 175001, India
Awards & Honors
2009 - DAAD SCHOLARSHIP awarded by Govt. of Germany
2004 - GOVERNOR GOLD MEDAL awarded by Governor of West Bengal, India
Publications
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2025Mitigating high dimensionality in damage identification for plate-like structures through substructuring with interacting filtering-based approachesRead Publication
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2024Real-time fatigue assessment of Floating Offshore Wind Turbine Mooring employing sequence-to-sequence-based deep learning on indirect fatigue responseRead Publication
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2024A probabilistic integration of LSTM and Gaussian process regression for uncertainty-aware reservoir water level predictionsRead Publication
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2024Early age cracking relevant to mass concrete dam structures during the construction scheduleRead Publication
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2024Toward improving water-energy-food nexus through dynamic energy management of solar powered automated irrigation systemRead Publication
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2024Improved force density optimization-based form-finding algorithm mitigating the local instabilitiesRead Publication
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2024Force estimation in bridge substructure boundary under vehicle loading using interacting filtering approachRead Publication
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2024Enhanced high-resolution structural crack detection using hybrid interacting Particle-Kalman filterRead Publication
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2024Characterizing Damage in Wind Turbine Mooring Using a Data-Driven Predictor Model within a Particle Filtering Estimation FrameworkRead Publication
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2024Fatigue assessment of bridges using interacting filtering approach with sub-structured predictor model based on current healthRead Publication
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2023Real-time structural damage assessment using LSTM networks: regression and classification approachesRead Publication
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2023Subdomain Fault Isolation for Linear Parameter Varying Systems through Coupled Marginalized Particle and Kitanidis FiltersRead Publication
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2023Bayesian monitoring of substructures under unknown interface assumptionRead Publication
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2023A novel Genetic algorithm based form-finding approach towards the improved design of tensegrity utility bridgeRead Publication
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2023Reliability analysis of 15MW horizontal axis wind turbine rotor blades using fluid-structure interaction simulation and adaptive kriging modelRead Publication
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2022An online model-based fatigue life prediction approach using extended Kalman filterRead Publication
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2022Estimation of local failure in tensegrity using Interacting Particle-Ensemble Kalman FilterRead Publication
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2022Switching Kalman filter for damage estimation in the presence of sensor faultsRead Publication
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2022Strainbased joint damage estimation approach robust to unknown nonstationary input forceRead Publication
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2022Comparative study on sensitivity of acceleration and strain responses for bridge health monitoringRead Publication
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2022Integration of machine learning and particle filter approaches for forecasting soil moistureRead Publication
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2022Response and input time history dataset and numerical models for a miniaturized 3D shear frame under damaged and undamaged conditionsRead Publication
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2021Estimation of local failure in tensegrity using Interacting Particle-Ensemble Kalman FilterRead Publication
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2020One-dimensional convolutional neural network-based damage detection in structural jointsRead Publication
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2020Design and Health Monitoring of Tensegrity Structures: An OverviewRead Publication
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2020Bridge damage detection in presence of varying temperature using two-step neural network approachRead Publication
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2020Structural health monitoring with non-linear sensor measurements robust to unknown non-stationary input forcingRead Publication
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2020Seismic induced damage detection through parallel estimation of force and parameter estimation using an improved interacting Particle-Kalman filter
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2018Seismic-induced damage detection through parallel force and parameter estimation using an improved interacting Particle-Kalman filterRead Publication
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2018Uncertainly qualification using the particle filter for non-stationary hydrological frequency analysisRead Publication
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2018Correntropy based IPKF filter for parameter estimation in presence of non-stationary noise processRead Publication
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2018Stationary hydrological frequency analysis coupled with uncertainly assessment under nonstationary scenariosRead Publication
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2017Online structural damage identification technique using constrained dual extended Kalman filterRead Publication
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2017Non-Gaussian parameter estimating using generalized polynomial chaos expansion with extended Kalman filteringRead Publication
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2017Estimation of time varying system parameters from ambient response using improved Particle-Kalman filter with correlated noiseRead Publication
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2016Progressive damage identification using dual extended Kalman filterRead Publication
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2016A non-iterative structural damage identification methodology using state space eigenstructure assignmentRead Publication
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2015Non-iterative eigenstructure assignment technique for finite element model updatingRead Publication
Conferences
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2018EWSHM 2018Manchester, UKDamage detection in presence of varying temperature through residual error modelling approach with dual neural network
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2018IMCE 2018Pittsburg, PA, USADamage detection in presence of varying temperature using two stage neural network
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2018IFAC 2018PolandCorrentropy based IPKF filter for parameter estimation in presence of non-stationary noise process
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2018European Geosciences UnionVienna, AustriaEstimation of time varying system parameters from ambient response using improved Particle-Kalman filter
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2017IWSHM 2017California, USASeismic induced damage detection through parallel estimation of force and parameter using improved interacting Particle-Kalman filter
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2017ICOSSAR 2017Vienna, AustriaPrediction of Flexural Buckling Strength of CFS Members with Local Geometric Imperfection using Stochastic Kriging
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2015ASCE EMI 2015Hong Kong, ChinaAdaptive nonlinear Kalman filtering technique for parameter identification: an application to Bouc-Wen model, Engineering Mechanics Institute (EMI) International Conference of ASCE on Mechanics for Civil Engineers against Natural Hazards
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2014ICTACEM 2014Kharagpur, IndiaIdentification of Bouc-Wen model parameters using Extended Kalman filter with adaptive process and measurement covariance matrices
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2014ICTACEM 2014Kharagpur, IndiaNon-iterative eigenstructure assignment based finite element model updating of a Mindlin-Reissner plate in Duncan form of state space using ambient vibration response
Projects
#1 DST-CEFIPRA
Ongoing Integrating eigenspace and physical space information via PINN architecture towards stochastic distance-based damage detection: Application to infrastructure resilience surveillance.
#2 DST-CRG
Ongoing Physics-informed Neural Network (PINN)-based component wise condition assessment approach for floating offshore wind turbines (FOWT) using non-intrusive sensor measurements.
#3 DRDO PROJECT
Ongoing Digital Twin development employing Bayesian filters with sub-structured predictor models for aerospace structures applications.
#4 SJVNL
Completed Study for the optimum height of lift for mass concreting in concrete dam structures.
#5 AR&DB PROJECT
Completed Development of damage detection technique for composite laminated structures under varying temperature.
#6 IMPRINT 2 DST
Completed DST-Imprint 2 - Water and Energy Efficient Reliable Irrigation System (WatEr-ERIS): Solar energy and Cloud-based decision support systems for an automated irrigation system.
#7 SEED GRANT, IIT MANDI
Completed Robust health monitoring of steel bridges under varying environmental and traffic conditions: an application to Victoria bridge.