Alireza Miraliakbar
Contact: alireza.miraliakbar@uconn.edu
Publications • Projects • GitHub • LinkedIn • Google Scholar
I am PhD student in Chemical Engineering at University of Connecticut. I am member of the Process Systems and Operations Research (PSOR) Lab under the supervison of Prof. Matthew Stuber My research interests include Process Optimization, Machine Learning and Software Development for Chemical Industries.
My work focuses on optimization, computational modeling, and the development of tools that bridge theory and application in chemical engineering.
Recent Publications
- Online fault detection and classification of chemical process systems leveraging statistical process control and Riemannian geometric analysis. Computers & Chemical Engineering, 2025. (DOI)
- Fast, Accurate, and Robust Fault Detection and Diagnosis of Industrial Processes. Systems and Control Transactions, 2024. (DOI) (PDF)
Projects
- Hybrid Modeling of UConn Water Resource Recovery Facility (WRRF) 1 - Employing state-of-the-art hybrid modeling approaches to combine first-principle mechanistic models with data-driven components to increase the prediction accuracy of UConn's WRRF
- Robust Design and Operation of Controlled Environmental Agriculture (CEA) System - Desining Robust CEA systems as an attractive alternatives to traditional land-based agriculture systems under market uncertainty
Recent Talks
- "Online Monitoring and Robust, Reliable Fault Detection and Diagnosis of Chemical Process Systems". AIChE Annual Meeting 2023, Orlando, 2023.
