| Multiperiod optimization model for oilfield production planning: bicriterion optimization and two-stage stochastic programming model U Awasthi, R Marmier, IE Grossmann Optimization and Engineering 20 (4), 1227-1248, 2019 | 23 | 2019 |
| Hybrid data-driven and model-informed online tool wear detection in milling machines Q Yang, KR Pattipati, U Awasthi, GM Bollas Journal of Manufacturing Systems 63, 329-343, 2022 | 22 | 2022 |
| Physics-based modeling and information-theoretic sensor and settings selection for tool wear detection in precision machining U Awasthi, Z Wang, N Mannan, KR Pattipati, GM Bollas Journal of Manufacturing Processes 81, 127-140, 2022 | 15 | 2022 |
| Optimal test and sensor selection for active fault diagnosis using integer programming U Awasthi, KA Palmer, GM Bollas Journal of Process Control 92, 202-211, 2020 | 12 | 2020 |
| Multi-Objective Optimization for Cost-Efficient and Resilient Machining under Tool Wear JP Wilson, Z Shen, U Awasthi, GM Bollas, S Gupta Journal of Advanced Manufacturing and Processing, e10140, 2022 | 3 | 2022 |
| Sensor network design for smart manufacturing–Application on precision machining U Awasthi, GM Bollas IFAC-PapersOnLine 53 (2), 11440-11445, 2020 | 2 | 2020 |
| Tool wear classification in precision machining using distance metrics and unsupervised machine learning D Mishra, U Awasthi, KR Pattipati, GM Bollas Journal of Intelligent Manufacturing, 1-25, 2023 | 1 | 2023 |
| Tool wear and remaining useful life estimation in precision machining using interacting multiple model Q Yang, D Mishra, U Awasthi, GM Bollas, KR Pattipati Journal of Manufacturing Systems 74, 367-386, 2024 | | 2024 |
| Application of grey-box modeling for machine state prediction in manufacturing U Awasthi, GM Bollas Proceedings of the FOCAPO/CPC 2023 Conference, San Antonio, 2023 | | 2023 |
| Symbolic regression-based method for developing a physics-informed surrogate model for a manufacturing process U Awasthi, GM Bollas Computer Aided Chemical Engineering 52, 1559-1564, 2023 | | 2023 |
| Physics-Inspired Inferential Sensor for Tool Wear Classification in Milling U Awasthi, K Pattipati, G Bollas Advanced Manufacturing and Processing Conference, 2022 | | 2022 |
| Physics-Informed Surrogate Models for Manufacturing Applications U Awasthi, GM Bollas 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Fault detection in CNC machines U Awasthi, GM Bollas | | 2020 |
| Maintenance Testing in Precision Machining U Awasthi, T Maloney, GM Bollas 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Sensor and Test Selection for Passive & Active Fault Diagnosis U Awasthi, KA Palmer, G Bollas 2019 AIChE Annual Meeting, 2019 | | 2019 |
| Physics-Based Models for Precision Machining U Awasthi, GM Bollas 2019 AIChE Annual Meeting, 2019 | | 2019 |
George M. BollasProfessor of Chemical Engineering, Director UTC Institute for Advanced Systems EngineringVerified email at uconn.edu
