Doctoral Symposium
The following candidates have been selected to participate in the 2023 Doctoral Consortium. Summaries of presentations will be available as part of the conference proceedings. For more details on the application and selection process please scroll down and for any questions please contact Doctoral Consortium chairs Jamie Coble, jamie@utk.edu, and Chris Teubert, christopher.a.teubert@nasa.gov./
Doctoral Symposium Panelists
- David Acuña-Ureta, Assistant Professor with the Department of Mechanical and Metallurgical Engineering at Pontificia Universidad Católica de Chile, Chile
- Manu Krishnan, Health Monitoring and Prognostics Engineer at Joby Aviation
- Nancy Lybeck, Department Manager for the Instrumentation, Controls, and Data Science Department at Idaho National Laboratory
- Mike Snyder, Principal Data Scientist at Northrop Grumman
Note that the Doctoral Symposium Sessions are open to all conference registrants as audience.
Congratulations to the Selected Participants!
| Student Name | Title | University | Advisor |
| Partha Pratim Das | A Neural Network Framework for Predicting Durability and Damage Tolerance of Polymer Composites under Combined Hygrothermal-mechanical Loading | University of Texas, Arlington | Rassel Raihan |
| Kajetan Fricke | Mission-Specific Prognosis of Li-ion Batteries using Hybrid Physics-Informed Neural Networks | University of Central Florida | Luigi Perotti |
| Hamidreza Habibollahi Najaf Abadi | Physics-Informed Deep Learning-Based Approach for Probabilistic Modeling of Degradation | University of Maryland | Mohammad Modarres |
| Hyung Jun Park | Integrating Advanced Prognostic Methods for Accurate Remaining Useful Life Prediction in Industrial Systems | Korea Aerospace University | Joo Ho Choi |
| Kalpit Vadnerkar | Vehicle State Monitoring and Fault Detection System for Unmanned Ground Vehicles (UGV) using Markov Models | Clemson University | Pierluigi Pisu |
| Kaushik Kethamukkala | Information Fusion and Data Augmentation for Risk-based Maintenance Optimization of Hydrogen Gas Pipelines | Arizona State University | Yongming Liu |
| Kristupas Bajarunas | Generic Hybrid Models for Prognostics of Complex Systems | ZHAW Zurich University of Applied Sciences | Manuel Arias Chao |
| Trent Furlong | A Physics-informed, Transfer Learning Approach to Structural Health Monitoring | Pennsylvania State University | Karl Reichard |
Call for Doctoral Symposium Applications
The Prognostics and Health Management (PHM) Society invites applications from students currently pursuing a Ph.D. in the fields of diagnostics, prognostics, or condition-based maintenance to present their research proposals at the Doctoral Symposium. The Doctoral Symposium provides an excellent opportunity for graduate students to present their research interests and plans at a formative stage in their educational program. The students will receive structured feedback from a panel of distinguished researchers, as well as comments from conference participants and fellow students in a collegial setting. Participants also present their research at the conference poster session to receive feedback from the larger PHM Society membership.
Key Dates
Please see the Key Dates page for dates relevant to the Doctoral Symposium.
Application Submission Process
- To be considered for participation, submit the following documents to the Doctoral Symposium Chairs via email (Jamie Coble, jamie@utk.edu, and Chris Teubert, christopher.a.teubert@nasa.gov) by the submission deadline:
- Four-page blind abstract describing your thesis topic (must be PHM related) with (1) a concise statement of the problem addressed, (2) expected novel contributions to the field, and (3) a proposed research plan, including work already performed and preliminary results.
- Full abstract (including references) must be included in the four-page limit.
- Abstracts must follow the PHM Society template, available at: https://papers.phmsociety.org/index.php/phmconf/about/submissions under “Author Guidelines”
- Abstracts should not identify the student, their advisor, or their university. This information can be redacted from the full abstract for inclusion in the final abstracts of selected participants.
- CV with educational, employment, and other experience. Clearly indicate the beginning and expected graduation dates and contact information for your supervisor(s).
- A letter of support and recommendation from your supervisor – may be emailed directly to the chairs.
- Four-page blind abstract describing your thesis topic (must be PHM related) with (1) a concise statement of the problem addressed, (2) expected novel contributions to the field, and (3) a proposed research plan, including work already performed and preliminary results.
- 10 students will be selected (maximum 2 selections per academic institution)
- Selected full-time students receive free registration and a travel subsidy of up to $1500 covering the following:
- Meals not provided by conference (per diem applies),
- Accommodation (shared hotel room for the entire conference), and
- Transportation (airfare, transport to/from the airport).
- Students in the early stages of research (with at least two years remaining) will be given preference.
- All selected students are also required to present a poster of their research, and their abstract will appear in the conference proceedings.
Please Note
- Students who participated in previous Doctoral Symposia are not eligible to participate again.
- Travel reimbursement and free registration are only available to full-time students. Part-time graduate students who are employed in the industry are welcome to participate, but they will not be eligible for travel reimbursement and free registration.