George M. Bollas

25 papers C 11Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hyperdimensional computing for explainable information fusion and multi-task adaptation in advanced manufacturing. Inf. Fusion Danny Hoang, Ruimin Chen, George M. Bollas, Farhad Imani
2025	J	`jnl`	Fault Diagnosis and Prognosis With Inferential Sensors: A Hybrid Approach Integrating Symbolic Regression and Information Theory. IEEE Access Efi Safikou, Krishna R. Pattipati, George M. Bollas
2025	C	`conf`	GAN-based feature representation and data augmentation for tool wear classification. CoDIT Seulki Han, George M. Bollas
2025	J	`jnl`	Tool wear classification in precision machining using distance metrics and unsupervised machine learning. J. Intell. Manuf. Debasish Mishra, Utsav Awasthi, Krishna R. Pattipati, George M. Bollas
2024	C	`conf`	Fault Detection in Closed-Loop Systems Based on Inferential Sensors. ACC Efi Safikou, George M. Bollas
2024	J	`jnl`	Fault detection and isolation in uncertain dynamic systems using composite optimization and inferential sensing. Comput. Chem. Eng. Efi Safikou, George M. Bollas
2024	C	`conf`	Image-based Cutting Tool Health Diagnosis in Multi-machine Settings. ISM Debasish Mishra, Krishna R. Pattipati, George M. Bollas
2024	J	`jnl`	Physics-informed genetic programming for discovery of partial differential equations from scarce and noisy data. J. Comput. Phys. Benjamin Cohen, Burcu Beykal, George M. Bollas
2024	C	`conf`	Symbolic regression-based hybrid models for a manufacturing process. CoDIT Seulki Han, Debasish Mishra, Krishna R. Pattipati, George M. Bollas
2023	—	`conf`	Dynamic System Identification from Scarce and Noisy Data Using Symbolic Regression. CDC Benjamin Cohen, Burcu Beykal, George M. Bollas
2023	C	`conf`	Explainable Symbolic Regression Model for Tool Wear Diagnosis. CoDIT Debasish Mishra, Seulki Han, Krishna R. Pattipati, George M. Bollas
2023	C	`conf`	Symbolic Regression for Fault Prognosis and Remaining Useful Life Estimation. ACC Efi Safikou, George M. Bollas
2022	J	`jnl`	Inference of faults through symbolic regression of system data. Comput. Chem. Eng. William T. Hale, Efi Safikou, George M. Bollas
2021	—	`conf`	Sensor Fusion and Inferential Sensing for Fault Detection and Isolation in Uncertain Systems SysTol Efi Safikou, George M. Bollas
2021	J	`jnl`	Sensor Selection Embedded in Active Fault Diagnosis Algorithms. IEEE Trans. Control. Syst. Technol. Kyle A. Palmer, George M. Bollas
2020	C	`conf`	Least-Squares- and Information-Theory-Based Inferential Sensor Design for Fault Diagnostics. ACC William T. Hale, George M. Bollas
2019	J	`jnl`	Active Fault Identification by Optimization of Test Designs. IEEE Trans. Control. Syst. Technol. Kyle A. Palmer, William T. Hale, George M. Bollas
2019	J	`jnl`	Analysis of transient data in test designs for active fault detection and identification. Comput. Chem. Eng. Kyle A. Palmer, George M. Bollas
2019	J	`jnl`	Semi-infinite programming for global guarantees of robust fault detection and isolation in safety-critical systems. Comput. Chem. Eng. William T. Hale, Matthew Wilhelm, Kyle A. Palmer, Matthew D. Stuber, George M. Bollas
2018	C	`conf`	Active Fault Diagnosis with Sensor Selection in a Diesel Engine Air Handling System. ACC Kyle A. Palmer, William T. Hale, George M. Bollas
2018	J	`jnl`	Design of Built-In Tests for Active Fault Detection and Isolation of Discrete Faults. IEEE Access William T. Hale, George M. Bollas
2018	C	`conf`	Design of Built-In Tests for Robust Active Fault Detection and Isolation of Discrete Faults in Uncertain Systems. ACC William T. Hale, Kyle A. Palmer, Matthew D. Stuber, George M. Bollas
2018	C	`conf`	Learning Stable Nonlinear Dynamical Systems with External Inputs using Gaussian Mixture Models. ACC Harish Chaandar Ravichandar, Iman Salehi, Brian P. Baillie, George M. Bollas, Ashwin P. Dani
2017	J	`jnl`	Supervisory Control for Resilient Chiller Plants Under Condenser Fouling. IEEE Access Khushboo Mittal, James P. Wilson, Brian P. Baillie, Shalabh Gupta, George M. Bollas, Peter B. Luh
2007	C	`conf`	Feed conversion targeting in an FCC pilot plant using a non-linear MPC strategy. ACC George M. Bollas, Ismini Anastasiou, Simira Papadopoulou, Spyros Voutetakis, Panos Seferlis