| 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 | 51 | 2019 |
| Dynamic assessment of control room operator's cognitive workload using Electroencephalography (EEG) MU Iqbal, B Srinivasan, R Srinivasan Computers & Chemical Engineering 141, 106726, 2020 | 44 | 2020 |
| 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 | 27 | 2021 |
| Simulator based performance metrics to estimate reliability of control room operators MU Iqbal, R Srinivasan Journal of Loss Prevention in the Process Industries 56, 524-530, 2018 | 23 | 2018 |
| 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 | 21 | 2018 |
| Metrics for objectively assessing operator training using eye gaze patterns MA Shahab, MU Iqbal, B Srinivasan, R Srinivasan Process Safety and Environmental Protection 156, 508-520, 2021 | 15 | 2021 |
| HMM-based models of control room operator's cognition during process abnormalities. 1. Formalism and model identification MA Shahab, MU Iqbal, B Srinivasan, R Srinivasan Journal of Loss Prevention in the Process Industries 76, 104748, 2022 | 13 | 2022 |
| Towards obviating human errors in real-time through eye tracking MU Iqbal, B Srinivasan, R Srinivasan Computer Aided Chemical Engineering 43, 1189-1194, 2018 | 12 | 2018 |
| Review of virtual reality (VR) applications to enhance chemical safety: from students to plant operators B Srinivasan, MU Iqbal, MA Shahab, R Srinivasan ACS Chemical Health & Safety 29 (3), 246-262, 2022 | 11 | 2022 |
| WhatsApp Revenue and Usage Statistics (2022). Business of Apps M Iqbal Retrived from https://www. businessofapps. com/data/whatsapp-statistics, 2022 | 9 | 2022 |
| HMM-based models of control room operator's cognition during process abnormalities. 2. Application to operator training MA Shahab, MU Iqbal, B Srinivasan, R Srinivasan Journal of Loss Prevention in the Process Industries 76, 104749, 2022 | 8 | 2022 |
| Electroencephalogram based biomarkers for tracking the Cognitive workload of operators in process industries MU Iqbal, B Srinivasan, R Srinivasan Computer Aided Chemical Engineering 46, 1393-1398, 2019 | 6 | 2019 |
| Multi-class classification of control room operators’ cognitive workload using the fusion of eye-tracking and electroencephalography MU Iqbal, B Srinivasan, R Srinivasan Computers & Chemical Engineering 181, 108526, 2024 | 2 | 2024 |
| Human factors in digitalized process operations R Srinivasan, B Srinivasan, MU Iqbal Methods in Chemical Process Safety 6, 417-459, 2022 | 2 | 2022 |
| Inherently safe design R Srinivasan, MU Iqbal Handbook of Safety Principles, 386-396, 2017 | 2 | 2017 |
| A novel experimental strategy for validating human failure probabilities in risk assessment MU Iqbal, R Srinivasan Computer Aided Chemical Engineering 38, 1983-1988, 2016 | 1 | 2016 |
| ISD indices R Srinivasan, SD Saripalli, MU Iqbal Elsevier, 2023 | | 2023 |
| Caffeic Acid, Chlorogenic Acid, Garlic Acid, and Protocatechuic Acid as Hypolipidemic Agents M Iqbal, MA Shahab, MA Hassni, SD Muhammad, S Bashir, S Murad SAR J Pathol Microbiol 4 (6), 82-85, 2023 | | 2023 |
| Fusion of pupil and gaze-based features to estimate cognitive workload of control room operators MU Iqbal, B Srinivasan, R Srinivasan Computer Aided Chemical Engineering 52, 1731-1736, 2023 | | 2023 |
| Fusion of EEG and Eye-Tracking Based Metrics for Characterizing the Cognitive State of Control Room Operators MU Iqbal, B Srinivasan, R Srinivasan 2022 AIChE Annual Meeting, 2022 | | 2022 |
