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S. Sarkar · SciRah

Researcher profile · Semantic Scholar

S. Sarkar

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S. Sarkar — researcher profile on SciRah

h-index: 19
Works: 54
Citations: 1,025

Most-cited papers

Target Detection and Classification Using Seismic and PIR Sensors
Xin Jin, S. Sarkar, Asok Ray, Shalabh Gupta +1 more
2012IEEE Sensors Journal150 citations
Semantic Scholar
Anomaly Detection and Fault Disambiguation in Large Flight Data: A Multi-modal Deep Auto-encoder Approach
K. Reddy, S. Sarkar, V. Venugopalan, M. Giering
2016Annual Conference of the PHM Society60 citations Open access
Semantic Scholar
Performance comparison of feature extraction algorithms for target detection and classification
S. Bahrampour, A. Ray, S. Sarkar, T. Damarla +1 more
2013Pattern Recognition Letters56 citations
Semantic Scholar
Dynamic data-driven prediction of instability in a swirl-stabilized combustor
S. Sarkar, S. Chakravarthy, Vikram Ramanan, A. Ray
201651 citations Open access
Semantic Scholar
Deep Learning for Structural Health Monitoring: A Damage Characterization Application
S. Sarkar, K. Reddy, M. Giering
2016Annual Conference of the PHM Society50 citations Open access
Semantic Scholar
Early Detection of Combustion Instability from Hi-speed Flame Images via Deep Learning and Symbolic Time Series Analysis
S. Sarkar, Kin Gwn Lore, S. Sarkar, Vikram Ramanan +3 more
2015Annual Conference of the PHM Society49 citations Open access
Semantic Scholar
Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes
S. Sarkar, S. Sarkar, Nurali Virani, A. Ray +1 more
2014Frontiers in Robotics and AI49 citations Open access
Semantic Scholar
Multifidelity and Multiscale Bayesian Framework for High-Dimensional Engineering Design and Calibration
S. Sarkar, Sudeepta Mondal, M. Joly, Matthew E. Lynch +3 more
2019Journal of Mechanical Design45 citations
Semantic Scholar
Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video
S. Sarkar, Kin Gwn Lore, S. Sarkar
2015CoCo@NIPS42 citations
Semantic Scholar
Machine Learning to Aid Tuning of Numerical Parameters in Topology Optimization
Matthew E. Lynch, S. Sarkar, K. Maute
2019Journal of Mechanical Design33 citations
Semantic Scholar
Multi-sensor information fusion for fault detection in aircraft gas turbine engines
S. Sarkar, S. Sarkar, K. Mukherjee, A. Ray +1 more
201333 citations
Semantic Scholar
Prognostics of Combustion Instabilities from Hi-speed Flame Video using A Deep Convolutional Selective Autoencoder
Adedotun Akintayo, Kin Gwn Lore, S. Sarkar, S. Sarkar
202031 citations Open access
Semantic Scholar
3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems
Tryambak Gangopadhyay, Vikram Ramanan, Adedotun Akintayo, Paige Boor +3 more
2021Energy and AI30 citations Open access
Semantic Scholar
Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Precompression
M. Joly, S. Sarkar, D. Mehta
2019Journal of turbomachinery30 citations
Semantic Scholar
Symbolic Dynamic Analysis of Transient Time Series for Fault Detection in Gas Turbine Engines
S. Sarkar, K. Mukherjee, S. Sarkar, A. Ray
201327 citations
Semantic Scholar
Dynamic Data-Driven Prediction of Lean Blowout in a Swirl-Stabilized Combustor
S. Sarkar, A. Ray, A. Mukhopadhyay, S. Sen
201526 citations
Semantic Scholar
Multi-Fidelity Prediction of Spatio-Temporal Fluid Flow
Sudeepta Mondal, S. Sarkar
2022The Physics of Fluids24 citations
Semantic Scholar
Anomaly detection in flight recorder data: A dynamic data-driven approach
Santanu Das, S. Sarkar, A. Ray, A. Srivastava +1 more
2013American Control Conference22 citations
Semantic Scholar
Wearable EEG-based Activity Recognition in PHM-related Service Environment via Deep Learning
S. Sarkar, K. Reddy, Alex Dorgan, C. Fidopiastis +1 more
2020International Journal of Prognostics and Health Management20 citations Open access
Semantic Scholar
Detection and Analysis of Combustion Instability From Hi-Speed Flame Images Using Dynamic Mode Decomposition
Sambuddha Ghosal, Vikram Ramanan, S. Sarkar, S. Chakravarthy +1 more
201618 citations
Semantic Scholar
Dynamic Data Driven Sensor Array Fusion for Target Detection and Classification
Nurali Virani, Shane Marcks, S. Sarkar, K. Mukherjee +2 more
2013International Conference on Conceptual Structures17 citations Open access
Semantic Scholar
DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks
Shrenik Zinage, Sudeepta Mondal, S. Sarkar
2024arXiv.org14 citations
Semantic Scholar
Context-aware Dynamic Data-driven Pattern Classification
S. Phoha, Nurali Virani, Pritthi Chattopadhyay, S. Sarkar +2 more
2014International Conference on Conceptual Structures14 citations Open access
Semantic Scholar
Real-time activity recognition from seismic signature via multi-scale symbolic time series analysis (MSTSA)
S. Sarkar, T. Damarla, A. Ray
2015American Control Conference13 citations
Semantic Scholar
Dynamic data-driven symbolic causal modeling for battery performance & health monitoring
S. Sarkar, Devesh K. Jha, A. Ray, Yue Li
2015Fusion12 citations
Semantic Scholar
Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines
S. Sarkar, K. Mukherjee, A. Ray
2012American Control Conference12 citations
Semantic Scholar
Multi-Fidelity Global-Local Optimization of a Transonic Compressor Rotor
Sudeepta Mondal, M. Joly, S. Sarkar
2019Turbomachinery11 citations
Semantic Scholar
Scalable Bayesian optimization with randomized prior networks
M. A. Bhouri, Michael Joly, Robert K. Yu, S. Sarkar +1 more
2023Computer Methods in Applied Mechanics and Engineering10 citations Open access
Semantic Scholar
Symbolization of dynamic data-driven systems for signal representation
S. Sarkar, Pritthi Chattopdhyay, A. Ray
2016Signal, Image and Video Processing10 citations
Semantic Scholar
Early detection of lean blow out (LBO) via generalized D-Markov machine construction
S. Sarkar, A. Ray, A. Mukhopadhyay, R. Chaudhari +1 more
2014American Control Conference10 citations
Semantic Scholar
Investigation of Combustion Instability in a Swirl-Stabilized Combustor Using Symbolic Time Series Analysis
Vikram Ramanan, S. Chakravarthy, S. Sarkar, A. Ray
20147 citations
Semantic Scholar
Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities
S. Sarkar, Devesh K. Jha, Kin Gwn Lore, S. Sarkar +1 more
2016American Control Conference6 citations
Semantic Scholar
Alphabet size selection for symbolization of dynamic data-driven systems: An information-theoretic approach
S. Sarkar, Pritthi Chattopdhyay, A. Ray, S. Phoha +1 more
2015American Control Conference6 citations
Semantic Scholar
Multi-fidelity Learning with Heterogeneous Domains
S. Sarkar
20195 citations
Semantic Scholar
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks
M. A. Bhouri, M. Joly, P. Yu, S. Sarkar +1 more
2023arXiv.org4 citations Open access
Semantic Scholar
Design-Variable Hypernetworks for Flowfield Emulation and Shape Optimization of Compressor Airfoils
James Duvall, Michael Joly, Karthik Duraisamy, S. Sarkar
2023AIAA Journal4 citations
Semantic Scholar
Lean blowout (LBO) prediction through symbolic time series analysis
S. Sen, S. Sarkar, R. Chaudhari, A. Mukhopadhyay +1 more
20174 citations
Semantic Scholar
Hierarchical symbolic perception in dynamic data driven application systems
S. Sarkar
20154 citations
Semantic Scholar
Spatiotemporal information fusion for fault detection in shipboard auxiliary systems
S. Sarkar, Nurali Virani, M. Yasar, A. Ray +1 more
2013American Control Conference4 citations
Semantic Scholar
Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Pre-Compression
M. Joly, S. Sarkar, D. Mehta
2018Turbomachinery3 citations
Semantic Scholar
Algorithms for Context Learning and Information Representation for Multi-Sensor Teams
Nurali Virani, S. Sarkar, Ji-Woong Lee, S. Phoha +1 more
2016Context-Enhanced Information Fusion3 citations
Semantic Scholar
Flow-field Emulation and Shape Optimization of Compressor Airfoils using Design-Variable Hypernetworks
J. Duvall, Michael Joly, K. Duraisamy, S. Sarkar
2023AIAA SCITECH 2023 Forum2 citations
Semantic Scholar
In : Fault Detection : Classification , Techniques and Role inIndustrial Systems
S. Sarkar, S. Sarkar, A. Ray
20132 citations
Semantic Scholar
Chasing Gamma-Ray Signals from Binary Neutron Star Coalescences with the Cherenkov Telescope Array: Prospects and Observing Strategies
S. Abe, J. Abhir, A. Abhishek, F. Acero +473 more
2026Astrophysical Journal1 citations Open access
Semantic Scholar
Multi-Source Machine Learning and Thermoplastics Enhanced Aerostructure Manufacturing (mTEAM)
John Gangloff, Wen-Ping Zhao, S. Sarkar, Sudeepta Mondal +12 more
20241 citations Open access
Semantic Scholar
Multi-Fidelity Modeling of Spatio-Temporal Fields
Sudeepta Mondal, S. Sarkar
20211 citations
Semantic Scholar
A Context-aware Multi-layered Sensor Network for Border Surveillance
N. Virani, Pritthi Chattopadhyay, S. Sarkar, Brian M. Smith +3 more
20141 citations
Semantic Scholar
A unified framework for supervised learning of semantic models
Yi-Cheng Wen, S. Sarkar, A. Ray, Xin Jin +1 more
2012American Control Conference1 citations
Semantic Scholar
Non-intrusive Learning of Physics-Informed Spatio-temporal Surrogate for Accelerating Design
Sudeepta Mondal, S. Sarkar
2026arXiv.org0 citations
Semantic Scholar
Manifold Alignment and Wavelet Analysis For Fault Detection Across Machines
Hala Mostafa, S. Sarkar, G. Ekladious
20180 citations
Semantic Scholar

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S. Sarkar×11
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Sudeepta Mondal×7
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S. Phoha×6
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S. Chakravarthy

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Vikram Ramanan×5

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