| An industrial case study using vibration data and machine learning to predict asset health I Amihai, R Gitzel, AM Kotriwala, D Pareschi, S Subbiah, G Sosale 2018 IEEE 20th Conference on Business Informatics (CBI) 1, 178-185, 2018 | 54 | 2018 |
| Modeling machine health using gated recurrent units with entity embeddings and k-means clustering I Amihai, M Chioua, R Gitzel, AM Kotriwala, D Pareschi, G Sosale, ... 2018 IEEE 16th International Conference on Industrial Informatics (INDIN …, 2018 | 28 | 2018 |
| XAI for Operations in the Process Industry-Applications, Theses, and Research Directions. A Kotriwala, B Klöpper, M Dix, G Gopalakrishnan, D Ziobro, A Potschka AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021 | 17 | 2021 |
| Load Classification and Forecasting for Temporary Power Installations AM Kotriwala, P Hernandez-Leal, M Kaisers 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2018 | 4 | 2018 |
| An Integrated Platform for Multi-Model Digital Twins S Malakuti, R Borrison, A Kotriwala, B Kloepper, E Nordlund, K Ronnberg 11th International Conference on the Internet of Things, 9-16, 2021 | 3 | 2021 |
| AI-Supported Workflows for Chemical Batch Plants: Optimizing quality, efficiency and safety M Hollender atp magazin 62 (8), 84-88, 2020 | 3 | 2020 |
| Using Synthetic Data to Train a Visual Condition Monitoring System for Leak Detection R Gitzel, A Kotriwala, T Fechner, M Schiefer 2021 IEEE Seventh International Conference on Big Data Computing Service and …, 2021 | 1 | 2021 |
| Supporting robot application development using a distributed learning approach A Kotriwala, B Kloepper, D Boeken, D Clever, F Dai 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS) 1, 442-445, 2020 | 1 | 2020 |
| Explaining Anomalies in Industrial Multivariate Time-series Data with the help of eXplainable AI SM Tripathy, A Chouhan, M Dix, A Kotriwala, B Klöpper, A Prabhune 2022 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2022 | | 2022 |
| Apparatus for equipment monitoring M Chioua, S Subbiah, AM Kotriwala, I Amihai US Patent App. 17/480,163, 2022 | | 2022 |
| APPARATUS FOR PREDICTING EQUIPMENT DAMAGE I Amihai, S Subbiah, AM Kotriwala, M Chioua US Patent App. 17/480,165, 2022 | | 2022 |
| Method and a system for applying machine learning to an application P Rodriguez, B Kloepper, AM Kotriwala, M Dix, D Clever, F Dai US Patent App. 17/317,920, 2021 | | 2021 |
| Method and a system for applying machine learning to an application P Rodriguez, B Kloepper, AM Kotriwala, M Dix, D Clever, F Dai US Patent App. 17/317,926, 2021 | | 2021 |
| Practical Aspects for Exploration and Analysis of Manual Interventions in Process Plants B Schmidt, R Borrison, M Gärtler, S Maczey, A Kotriwala 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 1-6, 2021 | | 2021 |
| Computer system and method for controlling user-machine dialogues A Cohen, B Schmidt, B Kloepper, M Gaertler, A Kotriwala, M Dix, ... US Patent 11,069,356, 2021 | | 2021 |
| Using Learned Health Indicators and Deep Sequence Models to Predict Industrial Machine Health I Amihai, A Kotriwala, D Pareschi, M Chioua, R Gitzel Engineering Proceedings 5 (1), 7, 2021 | | 2021 |
| Transforming condition monitoring of rotating machines DP Ralf Gitzel, Benedikt Schmidt, Arzam Kotriwala, Ido Amihai, Guruprasad ... https://search.abb.com/library/Download.aspx?DocumentID=9AKK107492A3579 …, 2019 | | 2019 |
| Mitigating the energy demand-supply mismatch in Pakistan using intelligent consumption feedback A Kotriwala NED ICONICS, 2018 | | 2018 |
| Load Forecasting for Temporary Power Installations: A Machine Learning Approach AM Kotriwala | | 2017 |
Moncef ChiouaScientist, ABB Corporate ResearchVerified email at polymtl.ca
