| Quantum computing for energy systems optimization: Challenges and opportunities A Ajagekar, F You Energy 179, 76-89, 2019 | 153 | 2019 |
| Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems A Ajagekar, T Humble, F You Computers & Chemical Engineering, 106630, 2019 | 120 | 2019 |
| Quantum computing assisted deep learning for fault detection and diagnosis in industrial process systems A Ajagekar, F You Computers & Chemical Engineering 143, 107119, 2020 | 45 | 2020 |
| Quantum computing based hybrid deep learning for fault diagnosis in electrical power systems A Ajagekar, F You Applied Energy 303, 117628, 2021 | 43 | 2021 |
| Quantum Machine Learning for Finance M Pistoia, SF Ahmad, A Ajagekar, A Buts, S Chakrabarti, D Herman, S Hu, ... 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 36 | 2021 |
| Quantum computing and quantum artificial intelligence for renewable and sustainable energy: A emerging prospect towards climate neutrality A Ajagekar, F You Renewable and Sustainable Energy Reviews 165, 112493, 2022 | 33 | 2022 |
| New frontiers of quantum computing in chemical engineering A Ajagekar, F You Korean Journal of Chemical Engineering 39 (4), 811-820, 2022 | 22 | 2022 |
| Perspectives of Quantum Computing for Chemical Engineering DE Bernal, A Ajagekar, SM Harwood, ST Stober, D Trenev, F You AIChE Journal, e17651, 2022 | 17 | 2022 |
| Energy-efficient AI-based Control of Semi-closed Greenhouses Leveraging Robust Optimization in Deep Reinforcement Learning A Ajagekar, NS Mattson, F You Advances in Applied Energy 9, 100119, 2023 | 14 | 2023 |
| Hybrid Classical-Quantum Optimization Techniques for Solving Mixed-Integer Programming Problems in Production Scheduling A Ajagekar, K Al Hamoud, F You IEEE Transactions on Quantum Engineering 3, 1-16, 2022 | 14 | 2022 |
| Multi-Agent attention-based deep reinforcement learning for demand response in grid-responsive buildings J Xie, A Ajagekar, F You Applied Energy 342, 121162, 2023 | 9 | 2023 |
| Deep reinforcement learning based unit commitment scheduling under load and wind power uncertainty A Ajagekar, F You IEEE Transactions on Sustainable Energy 14 (2), 803-812, 2022 | 7 | 2022 |
| Quantum Computing for Process Systems Optimization and Data Analytics A Ajagekar | 7 | 2020 |
| Fault Diagnosis of Electrical Power Systems with Hybrid Quantum-Classical Deep Learning A Ajagekar, F You Computer Aided Chemical Engineering 50, 1173-1179, 2021 | 3 | 2021 |
| Deep Reinforcement Learning Based Automatic Control in Semi-Closed Greenhouse Systems A Ajagekar, F You IFAC-PapersOnLine 55 (7), 406-411, 2022 | 2 | 2022 |
| A Deep Learning Approach for Fault Detection and Diagnosis of Industrial Processes using Quantum Computing A Ajagekar, F You 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 2 | 2020 |
| Deep Reinforcement Learning based Solution Approach for Unit Commitment under Demand and Wind Power Uncertainty A Ajagekar, F You 2022 American Control Conference (ACC), 4520-4525, 2022 | 1 | 2022 |
| Scheduling of Electrical Power Systems under Uncertainty using Deep Reinforcement Learning A Ajagekar, F You Computer Aided Chemical Engineering 49, 463-468, 2022 | 1 | 2022 |
| A Hybrid Solution Approach for Large-scale Batch Scheduling with Quantum Computing A Ajagekar, F You Computer Aided Chemical Engineering 50, 1747-1753, 2021 | 1 | 2021 |
| SYSTEMS AND METHODS FOR QUANTUM COMPUTING-ASSISTED PORTFOLIO SELECTION A Ajagekar, P Minssen, R Yalovetzky, M Pistoia US Patent App. 17/653,258, 2023 | | 2023 |
