Home News & Events Research Seminars [Research Seminar] The Human Brain as viewed through the lenses of Mathematics – Dr. Duy Duong-Tran, The United States Naval Academy

[Research Seminar] The Human Brain as viewed through the lenses of Mathematics – Dr. Duy Duong-Tran, The United States Naval Academy

Seminar Title: The Human Brain as viewed through the lenses of Mathematics
Speaker: Dr. Duy Duong-Tran – Assistant Professor, Department of Mathematics, The United States Naval Academy
Time: Wednesday, August 16, 2023 | 4 – 5 PM
Venue: C202 & Zoom

About the Seminar
Network science is the research area that applies graph theory to unravel complex relationships among elements (i.e., nodes) of a system (i.e., graph/network). These interactions can be modelled through pairwise interactions (i.e., edges). Ever since the birth of social media (Facebook, LinkedIn, etc.), networks have been extensively studied in both academic and industrial settings. In this talk, Dr. Duy will discuss the recent extension of network science in an emergent research area called Network Neuroscience in which the brain structure and functions can be modelled using the language of graph/network, called the connectome. He will then discuss various recent advancements in Network Neuroscience through the “brain fingerprints” concept.

About the Speaker
Dr. Duy Duong-Tran is an Assistant Professor in the Department of Mathematics at The United States Naval Academy (U.S. Department of Defense). He trained as a Postdoc Fellow and is currently a research associate at Perelman School of Medicine at the University of Pennsylvania. He obtained his Ph.D. in Computational Neuroscience in the School of Industrial Engineering at Purdue University. His research interest is in the intersection of applied mathematics and computational neuroscience. He was the recipient of Ross Doctorate Research Fellowship, Magoon Teaching Excellence Award, and Bilsland Dissertation Fellowship. During his PhD, he had worked with the Machine Learning group and the Computational Engineering Division at the Lawrence Livermore National Lab (U.S. Department of Energy).

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