Alexander Vereen

Project: The Detection of Impact Damage by Capacitive Sensing Skins

• Facilitated partnerships with external research institutions and government agencies, expanding expertise available for projects.
• Published works detailing the development of soft sensors for robotics and civil infrastructure.
• Used python vision and optimization to perform digital image analysis impact deformed structures
• Developed and manufactured impact damage assessment equipment in line with ASME standards powered by LabVIEW-based data acquisition

Project: Development of High-rate Structural Twinning methodologies

• Developed methodologies for high-rate state estimation of structural state using Bayesian approaches.
• Used Linux-based real-time implementations in quantitative analysis algorithmic performance of online modeling processes.
• Wrote and communicated experimental results in conjunction with partners within the AFRL navigating confidentiality and driving research and interest in the broader community.
• Authored manuscripts submitted for publication in peer-reviewed journals which further established credibility within our field.

Mentoring and teamwork experience

• Assisted in the development of course curriculum for 2 undergraduate-level courses in mechatronics and vibrations.
• Mentored undergraduate students as junior researchers, fostering their growth as future researchers and scientists.
• Edited and co-authored research findings at conferences and symposia with peer researchers.

Project: Learning Mesh-Based Simulations for Damage Evolution in Structures

• Identified opportunities for leveraging data science techniques to drive innovation in multi-physics simulation.
• Mentored junior researchers, fostering a supportive learning environment that encouraged professional growth.
• Leveraged advanced machine learning implementations for the study of structural damage evolution.
• Reviewed technical and professional publications and journals to stay current on recent literature and make more strategic research decisions.
• Conferred in a team of scientists engineers to plan and review progress and to provide technical assistance.

Project: Development of Microsecond Health Monitoring Technology

• Presented research findings at national conferences, raising the profile of the institution.
• In conjunction with the AFRL developed and released datasets for joint development of high-rate structural health monitoring outside academic
• Streamlined data analysis processes with custom software solutions based in LabView, C++, and Python, improving speed and accuracy of results.
• Used Python and Matlab to prepare and manipulate extensive databases.
• Extensive experience with LabVIEW and data acquisition technologies