| Baseline building energy modeling and localized uncertainty quantification using Gaussian mixture models A Srivastav, A Tewari, B Dong Energy and Buildings 65, 438-447, 2013 | 40 | 2013 |
| 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 | 36 | 2013 |
| Maximally bijective discretization for data-driven modeling of complex systems S Sarkar, A Srivastav, M Shashanka American Control Conference (ACC), 2013, 2674-2679, 2013 | 31 | 2013 |
| Void fraction measurement in two-phase flow processes via symbolic dynamic filtering of ultrasonic signals S Chakraborty, E Keller, J Talley, A Srivastav, A Ray, S Kim Measurement science and technology 20 (2), 023001, 2009 | 26 | 2009 |
| A composite discretization scheme for symbolic identification of complex systems S Sarkar, A Srivastav Signal Processing 125, 156-170, 2016 | 25 | 2016 |
| Integrated energy performance modeling for a retail store building B Dong, M Gorbounov, S Yuan, T Wu, A Srivastav, T Bailey, Z O˘Neill Building Simulation 6 (3), 283-295, 2013 | 20 | 2013 |
| Information fusion for object & situation assessment in sensor networks A Srivastav, Y Wen, E Hendrick, I Chattopadhyay, A Ray, S Phoha American Control Conference (ACC), 2011, 1274-1279, 2011 | 19 | 2011 |
| Depth estimation in Markov models of time-series data via spectral analysis DK Jha, A Srivastav, K Mukherjee, A Ray American Control Conference (ACC), 2015, 5812-5817, 2015 | 14 | 2015 |
| Understanding phase transition in communication networks to enable robust and resilient control S Sarkar, K Mukherjee, A Srivastav, A Ray American Control Conference, 2009. ACC'09., 1549-1554, 2009 | 12 | 2009 |
| Temporal Learning in Video Data Using Deep Learning and Gaussian Processes DK Jha, A Srivastav, A Ray International Journal of Prognostics and Health Management 7, 2016 | 11 | 2016 |
| Statistical mechanics-inspired modeling of heterogeneous packet transmission in communication networks S Sarkar, K Mukherjee, A Ray, A Srivastav, TA Wettergren IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2012 | 11 | 2012 |
| Adaptive sensor activity scheduling in distributed sensor networks: A statistical mechanics approach A Srivastav, A Ray, S Phoha International Journal of Distributed Sensor Networks 5 (3), 242-261, 2009 | 11 | 2009 |
| Symbolic Analysis-based Reduced Order Markov Modeling of Time Series Data DK Jha, N Virani, J Reimann, A Srivastav, A Ray Signal Processing 149, 68-81, 2018 | 10 | 2018 |
| An information-theoretic measure for anomaly detection in complex dynamical systems A Srivastav, A Ray, S Gupta Mechanical Systems and Signal Processing 23 (2), 358-371, 2009 | 10 | 2009 |
| Estimating the size of temporal memory for symbolic analysis of time-series data A Srivastav American Control Conference, 2014 | 9 | 2014 |
| Symbolic dynamic filtering for image analysis: theory and experimental validation A Subbu, A Srivastav, A Ray, E Keller Signal, image and video processing 4 (3), 319-329, 2010 | 9 | 2010 |
| Distributed decision propagation in mobile agent networks S Sarkar, K Mukherjee, A Srivastav, A Ray 49th IEEE Conference on Decision and Control (CDC), 633-638, 2010 | 8 | 2010 |
| Critical phenomena and finite-size scaling in communication networks? S Sarkar, K Mukherjee, A Srivastav, A Ray American Control Conference (ACC), 2010, 271-276, 2010 | 8 | 2010 |
| Semantic sensor fusion for fault diagnosis in aircraft gas turbine engines S Sarkar, DS Singh, A Srivastav, A Ray American Control Conference (ACC), 2011, 220-225, 2011 | 7 | 2011 |
| Ultrasonic measurement of crack opening load for life-extending control of mechanical structures DS Singh, A Srivastav, S Gupta, E Keller, A Ray American Control Conference, 2009. ACC'09., 210-215, 2009 | 5 | 2009 |
Soumik SarkarAssociate Professor, Iowa State UniversityVerified email at iastate.edu
