IEEE Tech Talk: Digital Twins for Transportation and Infrastructure: A Visionary Approach

#tech #talk #DigitalTwin #Transportation #Infrastructure #seattle #WIE




In today's rapidly evolving technological landscape, the concept of the Digital Twin emerges as a pivotal tool in reshaping the future of transportation and infrastructure management. Digital Twin, a virtual representation mirroring physical assets, offers transformative potential in optimizing operations, enhancing decision-making, and mitigating risks across various domains. This technical talk delves into the multifaceted development and applications of Digital Twin in the transportation and infrastructure sectors.

From real-time monitoring of vehicle fleets to predictive maintenance of critical infrastructure, Digital Twin empowers stakeholders with unparalleled insights into asset performance and behavior. Leveraging data analytics, machine learning, and IoT integration. Digital Twin enhances efficiency and fosters resilience against unforeseen challenges. Through industry examples and case studies, this talk navigates the complexities of Digital Twin adoption and addresses challenges and opportunities for stakeholders.

Embracing Digital Twins isn't merely about embracing technology; it's about embracing innovation, collaboration, and foresight to shape a more innovative, more connected future for transportation and infrastructure.


  Date and Time




  • Date: 09 Apr 2024
  • Time: 06:30 PM to 07:15 PM
  • All times are (UTC-07:00) Pacific Time (US & Canada)
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  • Seattle University
  • 901 12th Ave, Seattle, WA 98122
  • Seattle, Washington
  • United States 98122
  • Building: Student Center
  • Room Number: Room #: 210

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  • Co-sponsored by Seattle University Student Chapter
  • Starts 04 April 2024 07:00 AM
  • Ends 09 April 2024 07:00 PM
  • All times are (UTC-07:00) Pacific Time (US & Canada)
  • No Admission Charge


Sanjay Samuel


Digital Twins for Transportation and Infrastructure: A Visionary Approach


The ultimate goal of AI research is to provide the tools, techniques, and methods for building usable systems that make decisions or assist in making decisions that model and "understand" the world, gather relevant knowledge, and act responsibly. In many cases, the decisions and actions are associated with high risks, and certain assurance or robustness is required from the system that uses AI components. What are the ultimate questions that we need to answer in order to build the required runtime robustness for our systems?

We'll explore the central role that three types of unknowns play in our quest for robustness. These are the unobserved entities that need our research attention to make any assurance guarantees. First, we'll analyze the unknown observations that we need to deal with at runtime. Next, we'll explore the unknown features – the additional dimensions along which we need to reason and that are needed to rely upon at decision time. Finally, we'll discuss the unknown constraints – the unknown functions that we need to optimize against.


Speaker: Sanjay Samuel
IEEE Chair Seattle Section


With over three decades of experience as a decisive technical leader and innovative entrepreneur, I have spearheaded and nurtured high-performing engineering teams across various domains, including Electrical Engineering, Systems Engineering, Communication, and Fiber/RF communication network engineering.

My extensive portfolio showcases successful new product development and program delivery in regions spanning Asia, Australia, Europe, and America, with a focus on Cellular/Radio Communications, Digital Twin technologies, and leading software and hardware development teams for railways and infrastructure projects, including bus rapid transit systems. I contributed significantly to developing Positive Train Control (PTC), Communications-Based Train Control (CBTC), and digital twin technologies for both software and hardware.

Educationally, I hold engineering degrees in Electronics and Communications Engineering, Electrical Engineering from Drexel University, a Graduate Certificate in Systems Engineering from the Florida Institute of Technology, and an MBA. I possess a global perspective and effective communication skills and am proficient in eight languages.

In leadership roles, I serve as the Chair of the IEEE Seattle Section and as the Information Management Coordinator for IEEE Region 6, demonstrating my dedication to driving innovation and fostering collaboration within the engineering community.


5.30 PM to 6.00 PM Networking and Dinner
6.00 PM to 6.30 Senior Membership Information Session
6.30 PM to 7.15 PM Techtalk