Akshay Ajagekar

Akshay Ajagekar

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About Me

I am a Quantitative Researcher specializing in algorithmic development and research. My day-to-day work involves leveraging Python and C++ for data analytics and building sophisticated algorithms. Beyond my professional work, I'm deeply passionate about modeling, optimization, machine learning, and deep learning. I've also fallen in love with Rust and am actively exploring its ecosystem by building open-source projects.

Previously, I was a Schmidt AI for Science postdoctoral fellow where I explored applications of quantum computing for peptide design. I received my PhD in Systems Engineering at Cornell University, working under the supervision of Prof. Fengqi You, where my research focused on quantum computing applications for computational optimization and machine learning, as well as deep reinforcement learning based control strategies for smart automation of plant factories and vertical farms. I also 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.

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asa273 [at] cornell.edu

me [at] akshayajagekar.com

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

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

Blog & Writeups

A compilation of writeups on various topics in the fields of computer science, physics, chemistry, and biology.