AI | Crossroads

Wednesday, April 1, 2026, 9:00–10:30 am CST, Virtual

Artificial intelligence (AI) is increasingly influencing how transportation and infrastructure projects are planned, delivered, and communicated. This Education and Engagement Council webinar builds on CTS’s earlier AI discussion by highlighting how AI is being used in practice, both nationally and internationally.

Speakers from outside Minnesota will share real-world examples of AI integration in infrastructure and construction contexts. Nicole Moon, Strategic Communications Highways and Roads Market Sector Lead at HDR, will discuss how AI is supporting transportation agencies and project teams through applied industry use.

Mr. Tomi Kotala, Project Director, City of Helsinki Public Works Department, and Mr. Pieti Marjavaara, Chief Innovation Officer, Construction Management, AINS Group, will discuss the Infrastructure Programme Helsinki, Finland. This strategic urban development initiative focused on designing and constructing a sustainable future for the city, including a massive expansion of the Light Rail Transit (LRT) network. They will demonstrate how their approach to Integrated Project Delivery (IPD) and alliance models optimizes infrastructure lifecycles through fair partnership. Efficiency is driven by Knowledge Management and industrial construction via data-driven, repeatable processes. The Project-AI concept evolves situational awareness into active AI-driven support for all project members, ensuring smarter, more predictable, and value-driven outcomes.

This webinar is designed to foster shared learning and discussion around how AI is being adopted today, why organizations are investing in these tools, and what lessons transportation professionals can take from industry and international experience. It is intended for practitioners, researchers, students, and others interested in the evolving role of AI in transportation and infrastructure.

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Monday, December 15, 2025, 12:00–1:30 pm (Virtual)

About the Event

Artificial intelligence (AI) is rapidly reshaping how we design, plan, and manage infrastructure systems. In this webinar, CTS scholars Qizhi He and Seongjin Choi from the University of Minnesota’s Department of Civil, Environmental, and Geo- Engineering will discuss how AI tools are beginning to influence teaching, research, and professional practice in civil engineering. Their conversation will consider how the field can adapt curriculum and training to prepare future engineers for an AI-integrated profession. They will also explore questions around quality management, professional ethics, and community-centered design in an AI-driven context.

Offering a practitioner’s perspective, Melissa Barnes will share insights from MnDOT’s ongoing AI pilot identification project. She will discuss how state agencies are evaluating opportunities and risks associated with AI implementation—and engaging and educating their staff about AI.

This webinar will highlight opportunities for collaboration between academia and practice as the transportation industry navigates the evolving impacts of AI on engineering education, quality assurance, and workforce development.

Speakers

Qizhi He is an assistant professor in the Department of Civil, Environmental, and Geo- Engineering at the University of Minnesota (UMN) and a CTS scholar. Before joining the UMN, he was a postdoctoral researcher in the Scientific Machine Learning Group at Pacific Northwest National Laboratory. His research focuses on developing hybrid physics–AI/ML computational methods for predictive modeling and the simulation of complex mechanical behavior in civil and geomaterials under extreme and multiphysics conditions. His work aims to advance next-generation, high-performance computing and digital-twin technologies that enhance infrastructure resilience and support natural hazard mitigation.

Seongjin Choi is an assistant professor in the Department of Civil, Environmental, and Geo- Engineering at the University of Minnesota and a CTS scholar. Choi was previously a postdoctoral researcher at McGill University in Canada and Korea Advanced Institute of Science and Technology in South Korea. His research focuses on developing machine learning and (generative) artificial intelligence models for transportation and mobility data, with the goal of enhancing both individual-level travel experiences and system-level performance.

Melissa Barnes is the Operations Division artificial intelligence program manager (mobility) at MnDOT and a licensed civil engineer with more than 21 years of experience in transportation. She has worked at MnDOT for more than 12 years, including positions in Central Office and the Metro District. Her expertise spans program delivery, traffic engineering, planning, safety, operations, project management, policy, and cross-functional leadership, and she is known for her commitment to equity and collaboration.

Registration

This webinar is free, but registration is required. Once you have registered, you will receive an email confirmation with a Zoom link. The link should not be shared with others; it is unique to you.