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Akshay Ajagekar
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Year
Quantum computing for energy systems optimization: Challenges and opportunities
A Ajagekar, F You
Energy 179, 76-89, 2019
1532019
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems
A Ajagekar, T Humble, F You
Computers & Chemical Engineering, 106630, 2019
1202019
Quantum computing assisted deep learning for fault detection and diagnosis in industrial process systems
A Ajagekar, F You
Computers & Chemical Engineering 143, 107119, 2020
452020
Quantum computing based hybrid deep learning for fault diagnosis in electrical power systems
A Ajagekar, F You
Applied Energy 303, 117628, 2021
432021
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
362021
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
332022
New frontiers of quantum computing in chemical engineering
A Ajagekar, F You
Korean Journal of Chemical Engineering 39 (4), 811-820, 2022
222022
Perspectives of Quantum Computing for Chemical Engineering
DE Bernal, A Ajagekar, SM Harwood, ST Stober, D Trenev, F You
AIChE Journal, e17651, 2022
172022
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
142023
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
142022
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
92023
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
72022
Quantum Computing for Process Systems Optimization and Data Analytics
A Ajagekar
72020
Fault Diagnosis of Electrical Power Systems with Hybrid Quantum-Classical Deep Learning
A Ajagekar, F You
Computer Aided Chemical Engineering 50, 1173-1179, 2021
32021
Deep Reinforcement Learning Based Automatic Control in Semi-Closed Greenhouse Systems
A Ajagekar, F You
IFAC-PapersOnLine 55 (7), 406-411, 2022
22022
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
22020
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
12022
Scheduling of Electrical Power Systems under Uncertainty using Deep Reinforcement Learning
A Ajagekar, F You
Computer Aided Chemical Engineering 49, 463-468, 2022
12022
A Hybrid Solution Approach for Large-scale Batch Scheduling with Quantum Computing
A Ajagekar, F You
Computer Aided Chemical Engineering 50, 1747-1753, 2021
12021
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
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