Akshay Ajagekar
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About Me
I am a PhD student in Systems Engineering at the Cornell University, working under the supervision of Prof. Fengqi You. My research interest lies in Quantum Computing and its applications for computational optimization and machine learning. I also currently work with Deep Reinforcement Learning based control strategies for smart automation of plant factories and vertical farms for agricultural production.
Before this, I received my Masters in Chemical Engineering from Cornell University. Prior to joining Cornell, I graduated from IIT Patna with a Bachelor of Technology (B.Tech) in Chemical Science and Technology, where I worked with Prof. Ranganathan Subramanian.
- Email: asa273 [at] cornell.edu
me [at] akshayajagekar.com - Office: Olin Penthouse, Ithaca, NY
Blog & Writeups
A compilation of writeups on various topics in the fields of computer science, physics, chemistry, and biology.
- All
- Computer science
- Biology
- Physics
- Chemistry
Publications and Talks
Some of my refereed journal articles and selected presentations are listed below. An exhaustive list and links to these can be found on my Google Scholar profile.
Journal Articles
2024
Ajagekar, A., Decardi-Nelson, B., You, F. Energy management for demand response in networked greenhouses with multi-agent deep reinforcement learning.
Applied Energy, 355, 122349.
2023
Ajagekar, A., & You, F. Molecular design with automated quantum computing-based deep learning and optimization.
Nature Computational Materials, 9, 143.
Ajagekar, A., & You, F. Deep reinforcement learning based unit commitment scheduling under load and wind power uncertainty.
IEEE Transactions on Sustainable Energy, 14, 803-812.
Xie, J., Ajagekar, A., & You, F. Multi-agent attention-based deep reinforcement learning for demand response in grid-responsive buildings.
Applied Energy, 342, 121162.
Ajagekar, A., Mattson, N., & You, F. Energy-efficient AI-based control of semi-cloased greenhouses leveraging robust optimization in deep reinforcement learning.
Advances in Applied Energy, 9, 100119.
2022
Ajagekar, A., & You, F. Quantum Computing and quantum artificial intelligence for renewable and sustainable energy.
Renewable and Sustainable Energy Reviews, 165, 112493.
Ajagekar, A., Hamoud, K.A., & You, F. Hybrid classical-quantum optimization techniques for solving mixed-integer programming problems in production scheduling.
IEEE Transactions on Quantum Engineering, 3, 3102216.
Bernal, D., Ajagekar, A., & You, F. Perspectives of quantum computing for chemical engineering.
[Cover of June 2022]
AiChE journal, 68, e17651.
Ajagekar, A., & You, F. New frontiers of quantum computing in chemical engineering.
Korean Journal of Chemical Engineering, 39, 811-820.
2021
Ajagekar, A., & You, F. Quantum Computing based hybrid deep learning for fault diagnosis in electrical power systems.
Applied Energy, 303, 117628.
Ajagekar, A., & You, F. Quantum computing based deep learning for fault detection and diagnosis in industrial process systems.
Computers & Chemical Engineering, 143, 107119.
2020
Ajagekar, A., Humble, T., & You, F. Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems.
Computers & Chemical Engineering, 132, 106630.
Ajagekar, A., & You, F. Quantum computing for energy systems optimization: Challenges and opportunities.
Energy, 179, 76-89.
Patents
US20230298101A1
Akshay Ajagekar, Pierre Minssen, Romina Yalovetzky, and Marco Pistoia. Systems and methods for quantum computing-assisted portfolio selection.
US20220414518A1
Fengqi You and Akshay Ajagekar. Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems.
US20230094389A1
Fengqi You and Akshay Ajagekar. Quantum computing based deep learning for detection, diagnosis and other applications.
Conference Presentations
International conference on Quantum Information Processing (QIP)
January, 2024
IEEE Conference on Control Technology and Applications (CCTA)
August, 2023
Applied Energy Symposium: Low Carbon Cities and Urban Energy Systems (CUE)
November, 2022 & 2023
IEEE Americal Control Conference (ACC)
June, 2022
IEEE International Conference On Computer Aided Design (ICCAD)
November, 2021
European Symposium on Computer Aided Process Engineering
June, 2021 & May, 2023
IEEE International Conference On Systems, Man, AND Cybernetics (IEEE SMC)
October, 2020
AIChE Annual Meeting
November, 2019
Orlando, Florida