Bridging Digital Twinning with Stakeholders and Decision-Making
Format: Hybrid
Time: 10:45 AM – 12:00 PM
Moderator: Eleonora M. Tronci, Northeastern University
Dr. Eleonora M. Tronci is an Assistant Professor in the Department of Civil and Environmental Engineering at Northeastern University. Her research focuses on structural health monitoring, machine learning, and transfer learning for civil and energy infrastructure systems. Her work integrates data-driven strategies, uncertainty quantification, and virtual sensing methodologies to enhance resilience in the face of evolving operational and environmental conditions. Before joining Northeastern, Dr. Tronci was a Postdoctoral Scholar at Tufts University, where she worked on digital twinning and SHM of offshore wind turbines. Looking ahead, her research is expanding toward physics-informed machine learning, real-time monitoring strategies, and human-centered decision-making frameworks that integrate structural intelligence with actionable insights.
Panelist: Arash Farshadi
Arash Farshadi is an Engineering Director at Vineyard Wind with over 15 years of experience in the offshore wind and energy industry. At Vineyard Wind, he manages and leads the electrical and engineering packages and resources for the first large-scale offshore wind project in the US.
Panelist: Samantha Fried
Samantha Fried is the program manager of the Science, Technology, and Society (STS) program at Tufts. Samantha holds a PhD in STS from Virginia Tech. While in graduate school, she was student body president, and belonged to an interdisciplinary program in Remote Sensing (the measurement of distant materials, typically using satellites or drones). Educated in two different worlds that share little in terms of jargon, theories, or methodologies, she learned to think about the connections between these spaces in terms of shared values. Her dissertation and continuing work examine the development of Earth remote sensing technologies, and how this context has shaped our notions of collective action on environmental data. Her research seeks to reconfigure critical theory, action-based coalition-building, and Earth remote sensing technologies around a commitment to civic science.