| Data-driven prediction of antiviral peptides based on periodicities of amino acid properties CA Kieslich, F Alimirzaei, H Song, M Do, P Hall Computer Aided Chemical Engineering 50, 2019-2024, 2021 | 33 | 2021 |
| An integrated data-driven modeling & global optimization approach for multi-period nonlinear production planning problems CD Demirhan, F Boukouvala, K Kim, H Song, WW Tso, CA Floudas, ... Computers & Chemical Engineering 141, 107007, 2020 | 29 | 2020 |
| Integrative Machine Learning Analysis of HLA-Peptide Binding and Disease Association across HLA Class I and Class II Molecules H Song, S Islam, A Alimirzaei, C Kieslich 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Explainable Support Vector Machine Models for Analyzing Structure-Function Relationships of Membrane-Active Peptides A Alimirzaei, H Song, W DeFreese, C Kieslich 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Alignment-Free Prediction of HLA Class II Peptide Binding Using Deep Learning and Cross-Correlation of Amino Acid Properties H Song, H Haghshenas, C Kieslich 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Principal Component Analysis in Prostate Cancer Research M Smith, H Song, C Kieslich 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Meta-Analysis of MHC Class I Peptide Binding Interactions Using SVM Models S Islam, H Song, C Kieslich 2023 AIChE Annual Meeting, 2023 | | 2023 |
| A Computational Meta-Analysis for the Identification of Therapeutic Membrane-Active Peptides A Alimirzaei, H Song, WF DeFreese, C Kieslich 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Meta-Analysis of Proteolytic Cleavage Specificity Using Machine Learning S Kim, H Song, S Islam, C Kieslich 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Machine Learning Based Meta-Analysis of the Association between HLA-Peptide Binding Interactions and HLA-Linked Disease Susceptibility H Song, C Kieslich 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Data-driven prediction of peptide-MHC binding using oscillations of physicochemical properties H Song, CA Kieslich Computer Aided Chemical Engineering 52, 2697-2703, 2023 | | 2023 |
| Machine-Learning Based Prediction of Membranolytic Peptides with Anticancer Activities A Alimirzaei, C Kieslich, H Song 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Data-Driven Approach for the Prediction of MHC Class II Epitopes Using Oscillations of Physicochemical Properties H Song, C Kieslich 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Data-driven Prediction of Human Leukocyte Antigen (HLA) Epitopes using Oscillations of Physicochemical Properties H Song, CA Kieslich 30th Conference on Intelligent Systems for Molecular Biology, 2022 | | 2022 |
| An Integrated Data-Driven Modeling & Global Optimization Approach for Production Planning Under Uncertainty CD Demirhan, F Boukouvala, WW Tso, K Kim, H Song, E Pistikopoulos 2018 AIChE Annual Meeting, 2018 | | 2018 |
| Improved Data-Driven Mathematical Modeling and Global Optimization Framework: An Application in Refinery Planning Operations CD Demirhan, F Boukouvala, H Song, CA Floudas, K Kim 2016 AIChE Annual Meeting, 2016 | | 2016 |
| Strategic approach for the development of GTL-FPSO (Gas to Liquid-Floating Production Storage and Offloading) process S Hwang, H Song, J Son, S Kwon, Y Cho 16th Topical Conference on Gas Utilization 2016-Topical Conference at the …, 2016 | | 2016 |
Chris A. KieslichAssistant Professor, Department of Chemical Engineering, Auburn University在 auburn.edu 的电子邮件经过验证
