| Measuring smart grid resilience: Methods, challenges and opportunities L Das, S Munikoti, B Natarajan, B Srinivasan Renewable and Sustainable Energy Reviews 130, 109918, 2020 | 164 | 2020 |
| Selective transformations between nanoparticle superlattices via the reprogramming of DNA-mediated interactions Y Zhang, S Pal, B Srinivasan, T Vo, S Kumar, O Gang Nature materials 14 (8), 840-847, 2015 | 161 | 2015 |
| Control loop performance assessment using detrended fluctuation analysis (DFA) B Srinivasan, T Spinner, R Rengaswamy Automatica 48 (7), 1359-1363, 2012 | 77 | 2012 |
| Eye gaze movement studies of control room operators: A novel approach to improve process safety C Sharma, P Bhavsar, B Srinivasan, R Srinivasan Computers & Chemical Engineering 85, 43-57, 2016 | 76 | 2016 |
| Designing DNA-grafted particles that self-assemble into desired crystalline structures using the genetic algorithm B Srinivasan, T Vo, Y Zhang, O Gang, S Kumar, V Venkatasubramanian Proceedings of the National Academy of Sciences 110 (46), 18431-18435, 2013 | 75 | 2013 |
| Quantifying situation awareness of control room operators using eye-gaze behavior P Bhavsar, B Srinivasan, R Srinivasan Computers & chemical engineering 106, 191-201, 2017 | 70 | 2017 |
| Automatic oscillation detection and characterization in closed-loop systems B Srinivasan, R Rengaswamy Control Engineering Practice 20 (8), 733-746, 2012 | 67 | 2012 |
| Kalman-based strategies for fault detection and identification (FDI): Extensions and critical evaluation for a buffer tank system K Villez, B Srinivasan, R Rengaswamy, S Narasimhan, ... Computers & chemical engineering 35 (5), 806-816, 2011 | 63 | 2011 |
| Pupillometry based real-time monitoring of operator’s cognitive workload to prevent human error during abnormal situations P Bhavsar, B Srinivasan, R Srinivasan Industrial & Engineering Chemistry Research 55 (12), 3372-3382, 2016 | 62 | 2016 |
| Data-driven approaches for diagnosis of incipient faults in DC motors S Munikoti, L Das, B Natarajan, B Srinivasan IEEE Transactions on Industrial Informatics 15 (9), 5299-5308, 2019 | 60 | 2019 |
| Stoichiometric control of DNA-grafted colloid self-assembly T Vo, V Venkatasubramanian, S Kumar, B Srinivasan, S Pal, Y Zhang, ... Proceedings of the National Academy of Sciences 112 (16), 4982-4987, 2015 | 58 | 2015 |
| Dynamic assessment of control room operator's cognitive workload using Electroencephalography (EEG) MU Iqbal, B Srinivasan, R Srinivasan Computers & Chemical Engineering 141, 106726, 2020 | 56 | 2020 |
| Recent developments towards enhancing process safety: Inherent safety and cognitive engineering R Srinivasan, B Srinivasan, MU Iqbal, A Nemet, Z Kravanja Computers & Chemical Engineering 128, 364-383, 2019 | 56 | 2019 |
| Study of water reuse opportunities in a large-scale milk processing plant through process integration E Buabeng-Baidoo, N Mafukidze, J Pal, S Tiwari, B Srinivasan, T Majozi, ... Chemical Engineering Research and Design 121, 81-91, 2017 | 50 | 2017 |
| Towards predicting human error: Eye gaze analysis for identification of cognitive steps performed by control room operators M Kodappully, B Srinivasan, R Srinivasan Journal of Loss Prevention in the Process Industries 42, 35-46, 2016 | 46 | 2016 |
| Data-based automated diagnosis and iterative retuning of proportional-integral (PI) controllers T Spinner, B Srinivasan, R Rengaswamy Control Engineering Practice 29, 23-41, 2014 | 36 | 2014 |
| Electroencephalography (EEG) based cognitive measures for evaluating the effectiveness of operator training MU Iqbal, MA Shahab, M Choudhary, B Srinivasan, R Srinivasan Process Safety and Environmental Protection 150, 51-67, 2021 | 33 | 2021 |
| Tensor completion based state estimation in distribution systems R Madbhavi, HS Karimi, B Natarajan, B Srinivasan 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020 | 27 | 2020 |
| NeuralCompression: A machine learning approach to compress high frequency measurements in smart grid L Das, D Garg, B Srinivasan Applied Energy 257, 113966, 2020 | 27 | 2020 |
| Toward preventing accidents in process industries by inferring the cognitive state of control room operators through eye tracking L Das, MU Iqbal, P Bhavsar, B Srinivasan, R Srinivasan ACS Sustainable Chemistry & Engineering 6 (2), 2517-2528, 2018 | 27 | 2018 |
Rajagopalan SrinivasanIndian Institute of Technology MadrasПодтвержден адрес электронной почты в домене iitm.ac.in
