Akshay Ajagekar

Orcid: 0000-0001-9493-6050

According to our database1, Akshay Ajagekar authored at least 9 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Generative AI and Process Systems Engineering: The Next Frontier.
CoRR, 2024

2023
Attention Based Multi-Agent Reinforcement Learning for Demand Response in Grid-Responsive Buildings.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022
Deep Reinforcement Learning based Solution Approach for Unit Commitment under Demand and Wind Power Uncertainty.
Proceedings of the American Control Conference, 2022

Deep Reinforcement Learning Based Automatic Control in Semi-Closed Greenhouse Systems.
Proceedings of the American Control Conference, 2022

2021
Quantum Machine Learning for Finance.
CoRR, 2021

Quantum Machine Learning for Finance ICCAD Special Session Paper.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

2020
Quantum computing assisted deep learning for fault detection and diagnosis in industrial process systems.
Comput. Chem. Eng., 2020

Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems.
Comput. Chem. Eng., 2020

A Deep Learning Approach for Fault Detection and Diagnosis of Industrial Processes using Quantum Computing.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020


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