Nurali Virani
Nurali Virani
Senior Scientist - Machine Learning, GE Vernova Advanced Research
Verified email at
Cited by
Cited by
RoboADS: Anomaly detection against sensor and actuator misbehaviors in mobile robots
P Guo, H Kim, N Virani, J Xu, M Zhu, P Liu
2018 48th Annual IEEE/IFIP International Conference on Dependable Systems …, 2018
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
Design of intentional backdoors in sequential models
Z Yang, N Iyer, J Reimann, N Virani
arXiv preprint arXiv:1902.09972, 2019
Exploiting Physical Dynamics to Detect Actuator and Sensor Attacks in Mobile Robots
P Guo, H Kim, N Virani, J Xu, M Zhu, P Liu
arXiv preprint arXiv:1708.01834, 2017
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
Characterization of Fracture-Driven Interference and the Application of Machine Learning to Improve Operational Efficiency
R Klenner, G Liu, H Stephenson, G Murrell, N Iyer, N Virani, A Charuvaka
SPE Liquids-Rich Basins Conference-North America, 2018
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
Context-aware Dynamic Data-driven Pattern Classification
S Phoha, N Virani, P Chattopadhyay, S Sarkar, B Smith, A Ray
Procedia Computer Science 29, 1324-1333, 2014
Justification-Based Reliability in Machine Learning
N Virani, N Iyer, Z Yang
AAAI Conference on Artificial Intelligence 34 (04), 6078-6085, 2020
System and method for assessing and validating wind turbine and wind farm performance
SC Evans, D Zheng, R Munoz, SB Shartzer, BA Rittenhouse, S Davoust, ...
US Patent 10,815,972, 2020
Study of vapor film dynamics and heat transfer through an image processing technique
FR Beck, N Virani, L Mohanta, FA Sohag, A Ray, FB Cheung
International Journal of Heat and Mass Transfer 125, 1310-1320, 2018
Learning context-aware measurement models
N Virani, JW Lee, S Phoha, A Ray
American Control Conference (ACC), 2015, 4491-4496, 2015
Method for controlling operation of a wind turbine
SC Evans, SSL Delport, S Davoust, N Virani, SB Shartzer
US Patent 10,605,228, 2020
Investigation of interfacial waves behavior during quenching of a vertical rod using an image processing technique
SA Ebrahim, N Virani, S Chang, FB Cheung
2018 International Congress on Advances in Nuclear Power Plants, ICAPP 2018 …, 2018
Data-driven robot gait modeling via symbolic time series analysis
Y Seto, N Takahashi, DK Jha, N Virani, A Ray
2016 American Control Conference (ACC), 3904-3909, 2016
Control and tuning of gas turbine combustion
SW Piche, FF Pickard, RN Petro, Y Liu, N Virani
US Patent 10,626,817, 2020
Sequential hypothesis tests for streaming data via symbolic time-series analysis
N Virani, DK Jha, A Ray, S Phoha
Engineering Applications of Artificial Intelligence 81, 234-246, 2019
Spatiotemporal information fusion for fault detection in shipboard auxiliary systems
S Sarkar, N Virani, M Yasar, A Ray, S Sarkar
2013 American Control Conference, 3846-3851, 2013
Language measure-theoretic path planning in the presence of dynamic obstacles
S Sonti, N Virani, DK Jha, K Mukherjee, A Ray
2013 American Control Conference, 5110-5115, 2013
Variational encoder-based reliable classification
C Bhushan, Z Yang, N Virani, N Iyer
2020 IEEE International Conference on Image Processing (ICIP), 1941-1945, 2020
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