| Reprint of: Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection M Onel, CA Kieslich, YA Guzman, CA Floudas, EN Pistikopoulos Computers & chemical engineering 116, 503-520, 2018 | 111 | 2018 |
| A nonlinear support vector machine‐based feature selection approach for fault detection and diagnosis: Application to the Tennessee Eastman process M Onel, CA Kieslich, EN Pistikopoulos AIChE Journal 65 (3), 992-1005, 2019 | 87 | 2019 |
| Domino: Data-driven optimization of bi-level mixed-integer nonlinear problems B Beykal, S Avraamidou, IPE Pistikopoulos, M Onel, EN Pistikopoulos Journal of Global Optimization 78, 1-36, 2020 | 30 | 2020 |
| Highly accurate structure-based prediction of HIV-1 coreceptor usage suggests intermolecular interactions driving tropism CA Kieslich, P Tamamis, YA Guzman, M Onel, CA Floudas PloS one 11 (2), e0148974, 2016 | 27 | 2016 |
| Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization M Onel, B Beykal, K Ferguson, WA Chiu, TJ McDonald, L Zhou, JS House, ... PloS one 14 (10), e0223517, 2019 | 26 | 2019 |
| A data‐driven optimization algorithm for differential algebraic equations with numerical infeasibilities B Beykal, M Onel, O Onel, EN Pistikopoulos AIChE journal 66 (10), e16657, 2020 | 23 | 2020 |
| An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12 C Keasar, LJ McGuffin, B Wallner, G Chopra, B Adhikari, D Bhattacharya, ... Scientific reports 8 (1), 9939, 2018 | 23 | 2018 |
| Data-driven prescriptive maintenance: Failure prediction using ensemble support vector classification for optimal process and maintenance scheduling CAK Gordon, B Burnak, M Onel, EN Pistikopoulos Industrial & Engineering Chemistry Research 59 (44), 19607-19622, 2020 | 22 | 2020 |
| Simultaneous fault detection and identification in continuous processes via nonlinear support vector machine based feature selection M Onel, CA Kieslich, YA Guzman, EN Pistikopoulos Computer Aided Chemical Engineering 44, 2077-2082, 2018 | 20 | 2018 |
| Integrated data-driven process monitoring and explicit fault-tolerant multiparametric control M Onel, B Burnak, EN Pistikopoulos Industrial & engineering chemistry research 59 (6), 2291-2306, 2019 | 15 | 2019 |
| Optimal chemical grouping and sorbent material design by data analysis, modeling and dimensionality reduction techniques M Onel, B Beykal, M Wang, FA Grimm, L Zhou, FA Wright, TD Phillips, ... Computer Aided Chemical Engineering 43, 421-426, 2018 | 14 | 2018 |
| Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms R Mukherjee, B Beykal, AT Szafran, M Onel, F Stossi, MG Mancini, ... PLoS Computational Biology 16 (9), e1008191, 2020 | 13 | 2020 |
| Cullin neddylation may allosterically tune polyubiquitin chain length and topology M Onel, F Sumbul, J Liu, R Nussinov, T Haliloglu Biochemical Journal 474 (5), 781-795, 2017 | 12 | 2017 |
| Computational tools in the assistance of personalized healthcare MM Papathanasiou, M Onel, I Nascu, EN Pistikopoulos Computer Aided Chemical Engineering 42, 139-206, 2018 | 6 | 2018 |
| Development of the texas A&M superfund research program computational platform for data integration, visualization, and analysis R Mukherjee, M Onel, B Beykal, AT Szafran, F Stossi, MA Mancini, L Zhou, ... Computer Aided Chemical Engineering 46, 967-972, 2019 | 5 | 2019 |
| Data-driven Stochastic Optimization of Numerically Infeasible Differential Algebraic Equations: An Application to the Steam Cracking Process B Beykal, Z Aghayev, O Onel, M Onel, EN Pistikopoulos Computer Aided Chemical Engineering 49, 1579-1584, 2022 | 3 | 2022 |
| In Vitro Approach to Grouping of Complex Substances and UVCBs: A Case Study of Olefin Streams WD Klaren, FA Grimm, M Onel, B Beykal, EN Pistikopoulos, N Aly, ... Group 1 (83981), 84023, 2018 | 1 | 2018 |
| Modeling of Thermal Cracking of Natural Gas Liquids: Optimization with Support Vector Machine-Based Constraint Handling Scheme for Stiff ODEs B Beykal, M Onel, O Onel, EN Pistikopoulos 2019 AIChE Annual Meeting, 2019 | | 2019 |
| Adaptive Corrective Strategies Via Integrated Data-Driven Monitoring and Explicit Fault-Tolerant Control B Burnak, M Onel, E Pistikopoulos 2019 AIChE Annual Meeting, 2019 | | 2019 |
| Data-Driven Prescriptive Maintenance Scheduling and Process Optimization CK Gordon, M Onel, B Burnak, E Pistikopoulos 2019 AIChE Annual Meeting, 2019 | | 2019 |
Stratos PistikopoulosTEES Distinguished Research Professor, Texas A&M UniversityVerified email at tamu.edu
