Tymon Nieduzak wins Best Student Paper Award at the American Society of Mechanical Engineers (ASME) Smart Materials, Adaptive Structures, and Intelligent Systems (SMASIS) Conference.
Held in Atlanta, Georgia, the SMASIS conference brings together this specialist engineering community to discuss the technical advancements that are bridging the gap between science fiction and real-world engineering.
During the conference, Civil Engineering and Engineering Mechanics PhD student, Tymon Nieduzak, was invited to present his paper to a panel of judges. Titled "Machine Learning Predictive Algorithm for Self-Sensing Electric Vehicle Battery Enclosure", Nieduzak’s research explores a novel approach to enhancing the safety of Lithium-Ion Batteries (LIBs) in electric vehicles.
Using both physical experiments and finite element simulations of composite materials embedded with temperature microsensors, Nieduzak was able to continuously monitor battery health and provide critical early warnings of thermal runaway. By training a recurrent neural network on this sensor data, he developed a predictive model capable of estimating battery temperatures in real-time and detecting precursors to thermal failure. A self-contained, intelligent battery health monitoring system like this is essential for ensuring LIB safety and preventing catastrophic thermal events.
“I am honored to have received this award. Conducting my research in the Carleton Laboratory within Columbia University's Department of Civil Engineering and Engineering Mechanics has been an incredibly rewarding experience. I am grateful for the support and resources that have allowed me to push the boundaries of this work, which I am now expanding as part of my PhD dissertation.”
The Department extends their congratulations to Tymon! We look forward to seeing what new discoveries you uncover through your PhD research.