How is AI Making Critical Infrastructure More Reliable and Resilient?
Join us for a lunchtime webinar exploring how artificial intelligence and machine learning are transforming the way we manage and protect critical infrastructure. Our expert panel will share real-world examples of using AI for predictive modeling to guide infrastructure replacement decisions, and strategies for introducing machine learning in traditionally low-adoption sectors such as public infrastructure and logistics.
The discussion will also examine how interconnected our critical systems are—and why data-driven approaches are essential to understanding and mitigating climate change risks. This is not just a presentation but an interactive conversation designed to bridge the gap between research and practical implementation.
Bring your questions. Your participation is a key part of this collaborative session.
Speakers
Larry has been overseeing Veolia operations in Delaware since September of 2014. Prior to taking the helm in Delaware, Larry oversaw SUEZ operations and administrative activities in Bloomsburg and Dallas, Pennsylvania. Before joining SUEZ, he served as the Regional Operations Manager for Aqua North Carolina and as National Director of Field Services for Aqua America. He received his Bachelor of Science Degree in Business Administration from Drexel University. Larry is also a Certified Water Operator in Pennsylvania. Larry lives in Chester County, Pennsylvania with his wife and three children.
Sandeep Sathyamoorthy, Director, Water Innovation and Technology, Stantec
Over the years, Sandeep has worked in various areas across the water industry in design, plant operations, lab-scale, pilot-scale, and full-scale research, academia, technology development, and consulting. He brings this experience to his role as the director of Water Innovation and Technology for our Water group.
Sandeep’s mission is to develop, support, and nurture leading-edge processes, technology, digital innovations, and applied research that drive the evolution of linear, vertical, and digital assets of our clients to address megatrend driven global challenges. He embraces novel applied technologies to enhance the delivery of complete solutions supported by our culture of bottom-up innovation to deliver a more future-proof, connected and integrated resource-balanced solutions.
When he isn’t working on innovation for the Water group, Sandeep loves playing and coaching squash. He also enjoys hiking around the Bay Area with his family and camping.
Ayan Paul, Research Scientist, The Institute for Experiential AI, Northeastern University
Ayan has published work in theoretical particle physics (Higgs physics and heavy quark physics), symmetry and symmetry breaking, quantum field theory, mathematical epidemiology, computational socioeconomics, interpretable machine learning and genetics. He received his doctorate in theoretical particle physics from the University of Notre Dame du Lac and was a postdoctoral fellow at INFN, Rome. Before joining the Institute for Experiential AI in 2022, he was a fellow at DESY and a senior scientist at the Humboldt Universität zu Berlin.
Ayan contributed to the theoretical predictions that led to the discovery of CP violation in charm mesons, the second most significant discovery at CERN after the discovery of the Higgs Boson. He has contributed to the design of larger future particle colliders. During the COVID-19 pandemic, Ayan contributed significantly to the understanding of the spread of the diseases and why automated contact tracing would fail without population-wide participation. He was PI for grants funded by the Volkswagen Foundation and the Ministry of Education and Research, Germany, to model disease transmission and develop interpretable machine learning methods to study the impact of socioeconomic disparities around the spread of COVID-19.
He is actively involved in technology transfer, working with utilities, municipalities and critical service providers to use AI and machine learning to protect critical infrastructure. He is the chief scientific officer of KarmaV, a company that focuses on workforce transformation and recruitment. Ayan is also in a leadership role for the sustainability in science initiative started by the High Energy Physics community.