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Soumalya Sarkar
Soumalya Sarkar
Senior Principal Scientist, Raytheon Technologies Research Center (RTRC)
Verified email at utrc.utc.com
Title
Cited by
Cited by
Year
Target detection and classification using seismic and PIR sensors
X Jin, S Sarkar, A Ray, S Gupta, T Damarla
IEEE sensors journal 12 (6), 1709-1718, 2011
1812011
Anomaly Detection and Fault Disambiguation in Large Flight Data: A Multi-modal Deep Auto-encoder Approach
KK Reddy, S Sarkar, V Venugopalan, M Giering
Annual Conference of the Prognostics and Health Management Management Society, 2016
872016
Dynamic data-driven prediction of instability in a swirl-stabilized combustor
S Sarkar, SR Chakravarthy, V Ramanan, A Ray
International Journal of Spray and Combustion Dynamics 8 (4), 235-253, 2016
752016
Performance comparison of feature extraction algorithms for target detection and classification
S Bahrampour, A Ray, S Sarkar, T Damarla, NM Nasrabadi
Pattern Recognition Letters 34 (16), 2126-2134, 2013
742013
Early detection of combustion instability from hi-speed flame images via deep learning and symbolic time series analysis
S Sarkar, KG Lore, S Sarkar, V Ramanan, SR Chakravarthy, S Phoha, ...
Annual Conference of the PHM Society 7 (1), 2015
652015
Deep Learning for Structural Health Monitoring: A Damage Characterization Application
S Sarkar, KK Reddy, M Giering, M Gurvich
Annual Conference of the Prognostics and Health Management Management Society, 2016
632016
Multifidelity and multiscale Bayesian framework for high-dimensional engineering design and calibration
S Sarkar, S Mondal, M Joly, ME Lynch, SD Bopardikar, R Acharya, ...
Journal of Mechanical Design 141 (12), 121001, 2019
522019
Prognostics of combustion instabilities from hi-speed flame video using a deep convolutional selective autoencoder
A Akintayo, KG Lore, S Sarkar, S Sarkar
International Journal of Prognostics and Health Management 7 (4), 2016
502016
Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes
S Sarkar, S Sarkar, N Virani, A Ray, M Yasar
Frontiers in Robotics and AI 1, 16, 2014
492014
Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video.
S Sarkar, KG Lore, S Sarkar
CoCo@ NIPS, 2015
432015
Multi-sensor information fusion for fault detection in aircraft gas turbine engines
S Sarkar, S Sarkar, K Mukherjee, A Ray, A Srivastav
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2013
412013
Symbolic dynamic analysis of transient time series for fault detection in gas turbine engines
S Sarkar, K Mukherjee, S Sarkar, A Ray
Journal of Dynamic Systems, Measurement, and Control 135 (1), 014506, 2013
382013
Dynamic data-driven prediction of lean blowout in a swirl-stabilized combustor
S Sarkar, A Ray, A Mukhopadhyay, S Sen
International Journal of Spray and Combustion Dynamics 7 (3), 209-241, 2015
362015
Anomaly detection in flight recorder data: A dynamic data-driven approach
S Das, S Sarkar, A Ray, A Srivastava, DL Simon
2013 American Control Conference, 2668-2673, 2013
342013
Machine learning enabled adaptive optimization of a transonic compressor rotor with precompression
M Joly, S Sarkar, D Mehta
Journal of Turbomachinery 141 (5), 051011, 2019
322019
Machine learning to aid tuning of numerical parameters in topology optimization
ME Lynch, S Sarkar, K Maute
Journal of Mechanical Design 141 (11), 114502, 2019
282019
Wearable EEG-based activity recognition in PHM-related service environment via deep learning
S Sarkar, K Reddy, A Dorgan, C Fidopiastis, M Giering
international Journal of Prognostics and Health Management 7 (4), 2016
272016
Dynamic Data Driven Sensor Array Fusion for Target Detection and Classification
N Virani, S Marcks, S Sarkar, K Mukherjee, A Ray, S Phoha
Procedia Computer Science 18, 2046-2055, 2013
272013
3D convolutional selective autoencoder for instability detection in combustion systems
T Gangopadhyay, V Ramanan, A Akintayo, PK Boor, S Sarkar, ...
Energy and AI 4, 100067, 2021
252021
Detection and analysis of combustion instability from hi-speed flame images using dynamic mode decomposition
S Ghosal, V Ramanan, S Sarkar, SR Chakravarthy, S Sarkar
Dynamic Systems and Control Conference 50695, V001T12A005, 2016
222016
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