A Deep Learning Approach for Fault Detection and Diagnosis of Industrial Processes using Quantum Computing. - Akshay Ajagekar; Fengqi You (SMC, 2020)

Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems. - Akshay Ajagekar; Travis S. Humble; Fengqi You (Comput. Chem. Eng., 2020)

Quantum computing assisted deep learning for fault detection and diagnosis in industrial process systems. - Akshay Ajagekar; Fengqi You (Comput. Chem. Eng., 2020)

Quantum Machine Learning for Finance ICCAD Special Session Paper. - Marco Pistoia; Syed Farhan Ahmad; Akshay Ajagekar; Alexander Buts; Shouvanik Chakrabarti; Dylan Herman; Shaohan Hu; Andrew Jena; Pierre Minssen; Pradeep Niroula; Arthur G. Rattew; Yue Sun; et al. (ICCAD, 2021)

Quantum Machine Learning for Finance. - Marco Pistoia; Syed Farhan Ahmad; Akshay Ajagekar; Alexander Buts; Shouvanik Chakrabarti; Dylan Herman; Shaohan Hu; Andrew Jena; Pierre Minssen; Pradeep Niroula; Arthur G. Rattew; Yue Sun; et al. (CoRR, 2021)

Deep Reinforcement Learning Based Automatic Control in Semi-Closed Greenhouse Systems. - Akshay Ajagekar; Fengqi You (ACC, 2022)

Deep Reinforcement Learning based Solution Approach for Unit Commitment under Demand and Wind Power Uncertainty. - Akshay Ajagekar; Fengqi You (ACC, 2022)

Attention Based Multi-Agent Reinforcement Learning for Demand Response in Grid-Responsive Buildings. - Jiahan Xie; Akshay Ajagekar; Fengqi You (CCTA, 2023)

Multi-agent Deep Reinforcement Learning for Energy Management in Grid-Responsive Networked Greenhouses. - Benjamin Decardi-Nelson; Akshay Ajagekar; Fengqi You (ACC, 2024)

Generative AI and process systems engineering: The next frontier. - Benjamin Decardi-Nelson; Abdulelah S. Alshehri; Akshay Ajagekar; Fengqi You (Comput. Chem. Eng., 2024)

Computer-aided molecular design by aligning generative diffusion models: Perspectives and challenges. - Akshay Ajagekar; Benjamin Decardi-Nelson; Chao Shang 002; Fengqi You (Comput. Chem. Eng., 2025)