Doctoral Symposium
Doctoral Symposium Panelists
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Portia Banerjee, Research Engineer IV, NASA
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Stylianos Chatzidakis, Assistant Professor, Purdue University
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Darren Macer, Principal Senior Technical Fellow, Boeing
Note that the Doctoral Symposium Sessions are open to all conference registrants as audience.
Congratulations to the Selected Participants!
| Student Name | Title | University |
| Yubin Cheon | Dongguk University | A Single Carbon Nanotube-paper Composite Electrode Sensor Based Brake Oil Degradation Detection |
| Kyutae Park | Dongguk University | Deep Learning Based Remaining Useful Life Prediction of Lithium-Ion Batteries Using Early Cycle Degradation Features |
| Nadia Sanchez Pozo | Mondragon University | A Health Monitoring Framework for Thermal Degradation Mitigation in Solar Power Plants |
| Takanobu Minami | University of Maryland, College Park | Integrating Few-Shot Learning and Pre-trained Models into Similarity-Based PHM using Small Data in Complex Engineering Systems |
| Yi Cao | Johns Hopkins University | Atomic-to-Device Digital Twins: Machine Learning-Accelerated Physics-of-Failure Modeling for 2D Electronic Materials |
| Amaury Wei | EPFL | Neural Counterfactual Reasoning for Interacting Systems: Bridging Physics-Informed Learning and Reasoning for PHM |
| Paula Mielgo | University of Valladolid | Deep Learning for Robust Manufacturing: From Quality Control to Predictive Maintenance |
| Dai-Yan Ji | University of Maryland, College Park | Novel Segmentation Methodology for Robust Feature Engineering of Time Series Data in Prognostics and Health Management |
| Benno Käslin | TU Delft | Integrated Stochastic Optimization of Maintenance Scheduling and Tail Assignment with Health-Aware Models in Aviation |
| Dario Goglio | TU Delft | Interpretable and Uncertainty-Aware Hybrid Prognostics Using Multimodal Knowledge for RUL Prediction |
| Marc Koerschner | Georgia Tech | A Method for Self-Healing System Integration within Human Habitation Systems |
| Henrique Sousa | KU Leuven | Gear Diagnostics Based On Transfer Learning Methodologies and Digital Twinning |
Agenda for Sunday, October 26
|
Start Time |
Function |
|
7:45 AM |
Breakfast for DS participants and panelists |
|
8:20 AM |
Welcome and Introduction of the Panel |
|
8:30 AM |
Yubin Cheon A Single Carbon Nanotube-paper Composite Electrode Sensor Based Brake Oil Degradation Detection |
|
8:40 AM |
Panelist Feedback |
|
8:55 AM |
Audience Q/A |
|
9:00 AM |
Nadia Sánchez-Pozo A Health Monitoring Framework for Thermal Degradation Mitigation in Solar Power Plants |
|
9:10 AM |
Panelist Feedback |
|
9:25 AM |
Audience Q/A |
|
9:30 AM |
Kyutae Park Deep Learning Based Remaining Useful Life Prediction of Lithium-Ion Batteries Using Early Cycle Degradation Features |
|
9:40 AM |
Panelist Feedback |
|
9:55 AM |
Audience Q/A |
|
10:00 AM |
Break |
|
10:30 AM |
Paula Mielgo Deep Learning for Robust Manufacturing: From Quality Control to Predictive Maintenance University of Valladolid |
|
10:40 AM |
Panelist Feedback |
|
10:55 AM |
Audience Q/A |
|
11:00 PM |
Yi Cao Atomic-to-Device Digital Twins: Machine Learning-Accelerated Physics-of-Failure Modeling for 2D Electronic Materials Johns Hopkins University |
|
11:10 AM |
Panelist Feedback |
|
11:25 PM |
Audience Q/A |
|
11:30 PM |
Dario Goglio Interpretable and Uncertainty-Aware Hybrid Prognostics Using Multimodal Knowledge for RUL Prediction TU Delft |
|
11:40 PM |
Panelist Feedback |
|
11:55 PM |
Audience Q/A |
|
12:00-1:00 PM |
Lunch for DS participants and panelists |
|
1:00 PM |
Marc Koerschner A Method for Self-Healing System Integration within Human Habitation Systems Georgia Tech |
|
1:10 PM |
Panelist Feedback |
|
1:25 PM |
Audience Q/A |
|
1:30 PM |
Henrique Sousa Gear Diagnostics Based On Transfer Learning Methodologies and Digital Twinning KU Leuven |
|
1:40 PM |
Panelist Feedback |
|
1:55 PM |
Audience Q/A |
|
2:00 PM |
Benno Käslin Integrated Stochastic Optimization of Maintenance Scheduling and Tail Assignment with Health-Aware Models in Aviation TU Delft |
|
2:10 PM |
Panelist Feedback |
|
2:25 PM |
Audience Q/A |
|
2:30 PM |
Break |
|
3:00 PM |
Dai-Yan Ji Novel Segmentation Methodology for Robust Feature Engineering of Time Series Data in Prognostics and Health Management University of Maryland, College Park |
|
3:10 PM |
Panelist Feedback |
|
3:25 PM |
Audience Q/A |
|
3:30 PM |
Amaury Wei Neural Counterfactual Reasoning for Interacting Systems: Bridging Physics-Informed Learning and Reasoning for PHM EPFL |
|
3:40 PM |
Panelist Feedback |
|
3:55 PM |
Audience Q/A |
|
4:00 PM |
Takanobu Minami Integrating Few-Shot Learning and Pre-trained Models into Similarity-Based PHM using Small Data in Complex Engineering Systems University of Maryland, College Park |
|
4:10 PM |
Panelist Feedback |
|
4:25 PM |
Audience Q/A |
|
4:30 PM |
Final Thoughts from the Panelists |
|
4:45 PM |
Feedback from Students & Audience |
|
4:55 PM |
Conclusions |
|
5:00 PM |
Adjourn |