We are excited to invite you to our next #ASA #Austinchapter meeting on Wednesday, April 23 from 6:30-8:00pm CST (online via Zoom).
Title: Thermoinformational Modelling in Social, Biological, and Neuroscientific Systems
Zoom link:https://lnkd.in/gP3ntCCS
Meeting ID: 829 8642 9294
Passcode: 636056
Speaker:
Dr. George-Rafael Domenikos, Research Assistant Professor
Nanyang Technological University of Singapore – EMPOWER Centre, School of Social Sciences
Abstract:
Statistical thermodynamics bridges the microscopic world of molecular and quantum interactions with the observable macroscopic phenomena. Its well-defined mathematical framework enables a deep understanding of collective behaviors. In my work, I abstract this framework-detaching it from its traditional physical context-and apply it to diverse data systems. This approach not only unveils rich informational structures that standard statistical techniques might overlook but also establishes compelling analogies across fields. For instance, in social physics, political behaviors and election processes can be interpreted as thermodynamic cycles; in biological systems, predator-prey interactions echo the dynamics of a Stirling cycle with a phase difference; and in neuroscience, thermoinformational analysis of EEG data reveals intricate patterns of information exchange between brain regions, leading to highly accurate behavioral predictions.
About the Speaker
Dr. George-Rafael Domenikos is a Research Assistant Professor at Nanyang Technological University in Singapore, specializing in mathematical and machine learning modeling of neuroscientific systems. His background in engineering, with a specialty in statistical thermodynamics, has provided him with a unique perspective on interdisciplinary research. In his earlier work, he has developed a novel mathematical model linking superfluidity with Bose-Einstein condensation-a breakthrough that addressed a century-old question and earned a major award from the American Society of Mechanical Engineers. Building on the informational methodology derived from his work on superfluids,he has since extended these principles to diverse data systems. His research demonstrates that, with the appropriate techniques, thermodynamics can be viewed as a powerful mathematical and statistical framework that transcends its traditional applications in molecular and gas physics.
#ASA #Austinchapter #Nanyangtechnologicaluniversity #statisticalthermodynamics #machinelearning #thermoinformationalmodelling
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Charu Gupta
AstraZeneca
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