Soumalya Sarkar

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Asok RayDistinguished Professor of Mechanical Engineering and MathematicsAdresse e-mail validée de psu.edu
Soumik SarkarDirector, Translational AI Center, Professor, Iowa State UniversityAdresse e-mail validée de iastate.edu
Kin Gwn LorePrincipal Research Engineer, Raytheon Technologies Research CenterAdresse e-mail validée de rtx.com
Kishore Kumar ReddyAssociate Director Research, Raytheon Technologies Research CenterAdresse e-mail validée de mail.ucf.edu
Nurali ViraniSenior Scientist - Machine Learning, GE Vernova Advanced ResearchAdresse e-mail validée de ge.com
Michael GieringFree AgentAdresse e-mail validée de RTX.com
Kushal MukherjeeIBM ResearchAdresse e-mail validée de in.ibm.com
Swarnendu SenProfessor of Mechanical Engineering, Jadavpur UniversityAdresse e-mail validée de jadavpuruniversity.in
Xin JinNational Renewable Energy LaboratoryAdresse e-mail validée de nrel.gov
Adedotun AkintayoIntel CorporationAdresse e-mail validée de intel.com
Shalabh GuptaAssociate Professor of Systems Engineering, Dept of Elect and Comp Eng, University of ConnecticutAdresse e-mail validée de uconn.edu
Nasser M NasrabadiProfessor, CSEE, West Virginia UniversityAdresse e-mail validée de mail.wvu.edu
Soheil BahrampourGoogleAdresse e-mail validée de google.com
Devesh K. JhaPrincipal Research Scientist, MERLAdresse e-mail validée de merl.com
Abhishek SrivastavSenior Scientist - AIML, GE Aerospace ResearchAdresse e-mail validée de ge.com
Ji-Woong LeeECE Dept, SUNY KoreaAdresse e-mail validée de sunykorea.ac.kr
Sujit NathAssistant Professor of Mechanical Engineering Department, National Institute Of Technology, SilcharAdresse e-mail validée de nits.ac.in
Yicheng WenGeneral ElectricAdresse e-mail validée de ge.com

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Soumalya Sarkar

Senior Principal Scientist, Raytheon Technologies Research Center (RTRC)

Adresse e-mail validée de utrc.utc.com

Machine learning Deep learning Physics-informed AI


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	180	2011
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	86	2016
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	74	2016
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	74	2013
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	65	2015
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	62	2016
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	52	2019
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	50	2016
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	49	2014
Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video. S Sarkar, KG Lore, S Sarkar CoCo@ NIPS, 2015	43	2015
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	41	2013
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	38	2013
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	36	2015
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	33	2013
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	32	2019
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	27	2016
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	27	2013
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	26	2019
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	25	2021
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	22	2016

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