Akshay Ajagekar
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About Me
I am a PhD student in Systems Engineering at 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.
Contact Information
asa273@cornell.edu
me@akshayajagekar.com
Olin Penthouse, Ithaca, NY
Quick Links
Blog & Writeups
A compilation of writeups on various topics in the fields of computer science, physics, chemistry, and biology.
Fundamentals
Core concepts in biology, physics, and chemistry
Deep Learning
Neural networks and deep learning fundamentals
Neuroscience
Brain science and computational neuroscience
Astrophysics
Celestial mechanics and stellar evolution
Finance
Mathematical finance and quantitative analysis
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
Energy management for demand response in networked greenhouses with multi-agent deep reinforcement learning
Ajagekar, A., Decardi-Nelson, B., You, F.
Molecular design with automated quantum computing-based deep learning and optimization
Ajagekar, A., & You, F.
Deep reinforcement learning based unit commitment scheduling under load and wind power uncertainty
Ajagekar, A., & You, F.
Multi-agent attention-based deep reinforcement learning for demand response in grid-responsive buildings
Xie, J., Ajagekar, A., & You, F.
Energy-efficient AI-based control of semi-closed greenhouses leveraging robust optimization in deep reinforcement learning
Ajagekar, A., Mattson, N., & You, F.
Quantum Computing and quantum artificial intelligence for renewable and sustainable energy
Ajagekar, A., & You, F.
Hybrid classical-quantum optimization techniques for solving mixed-integer programming problems in production scheduling
Ajagekar, A., Hamoud, K.A., & You, F.
Perspectives of quantum computing for chemical engineering
Bernal, D., Ajagekar, A., & You, F.
New frontiers of quantum computing in chemical engineering
Ajagekar, A., & You, F.
Quantum Computing based hybrid deep learning for fault diagnosis in electrical power systems
Ajagekar, A., & You, F.
Quantum computing based deep learning for fault detection and diagnosis in industrial process systems
Ajagekar, A., & You, F.
Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems
Ajagekar, A., Humble, T., & You, F.
Quantum computing for energy systems optimization: Challenges and opportunities
Ajagekar, A., & You, F.
🔬 Patents
US20230298101A1
Systems and methods for quantum computing-assisted portfolio selection
Akshay Ajagekar, Pierre Minssen, Romina Yalovetzky, and Marco Pistoia
US20220414518A1
Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems
Fengqi You and Akshay Ajagekar
US20230094389A1
Quantum computing based deep learning for detection, diagnosis and other applications
Fengqi You and Akshay Ajagekar
🎤 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 American 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