Quantifying Patterns in Zebrafish and Traffic Flow Dynamics
LAU Beirut Campus, Nicol Hall 218 & Online via Webex
The Department of Computer Science and Mathematics at the School of Arts and Sciences cordially invites you to this talk event as part of its Seminar Series.
About the event
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This talk will consist of two parts:
- To better understand the dynamics of multi-agent biological and social systems, we employ a combination of modeling and data analysis approaches to simulate and quantify emergent behaviors in large-scale systems. As an example, from biological systems, we will examine the formation of zebrafish skin patterns. Zebrafish are known for their black and gold pigment patterns, which arise from interactions between different types of cells. We focus on developing a mathematical framework, using topological data analysis (TDA), to quantify specific properties of these patterns.
- In the context of social systems, we will study the emergence of waves in traffic flow. Traffic waves often result from instability and small perturbations that propagate through the system, leading to increased energy consumption. We investigate the role of autonomous vehicles (AVs) in data collected from real traffic control experiments and study the potential impact of those AVs on reducing waves and minimizing energy waste.
About the people
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Nour Khoudari
Golomb Visiting Assistant Professor, Purdue University
Dr. Khoudari is an applied mathematician interested in modeling and analysis of multi-agent systems in biology and transportation engineering.
She received her PhD from Temple University in 2024. Before that, she completed her MS degree at the American University of Beirut, and earned a BS in Mathematics from LAU with minors in computer science and actuarial studies. She also has a teaching diploma in secondary and higher-education mathematics.