Search Results for author: Akshay Ajagekar

Found 4 papers, 0 papers with code

Generative AI and Process Systems Engineering: The Next Frontier

no code implementations15 Feb 2024 Benjamin Decardi-Nelson, Abdulelah S. Alshehri, Akshay Ajagekar, Fengqi You

This article explores how emerging generative artificial intelligence (GenAI) models, such as large language models (LLMs), can enhance solution methodologies within process systems engineering (PSE).

Decision Making Image Generation

Quantum Machine Learning for Finance

no code implementations9 Sep 2021 Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula, Arthur Rattew, Yue Sun, Romina Yalovetzky

In fact, finance is estimated to be the first industry sector to benefit from Quantum Computing not only in the medium and long terms, but even in the short term.

BIG-bench Machine Learning Quantum Machine Learning

Quantum Computing Assisted Deep Learning for Fault Detection and Diagnosis in Industrial Process Systems

no code implementations29 Feb 2020 Akshay Ajagekar, Fengqi You

Quantum computing (QC) and deep learning techniques have attracted widespread attention in the recent years.

Fault Detection

Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems

no code implementations29 Oct 2019 Akshay Ajagekar, Travis Humble, Fengqi You

The proposed QC-based solution strategies enjoy high computational efficiency in terms of solution quality and computation time, by utilizing the unique features of both classical and quantum computers.

Computational Efficiency Job Shop Scheduling +1

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