Pioneering Research in Traffic & Control Theory Earns Recognition
A transformative leader in applied mathematics, Benedetto Piccoli serves as the Department Chair and Joseph and Loretta Lopez Chair Professor of Mathematics at Rutgers University–Camden. He has been named the 2024 recipient of the W. T. and Idalia Reid Prize. This distinguished honor, awarded by the Society for Industrial and Applied Mathematics (SIAM), celebrates his groundbreaking contributions to optimal control, conservation laws, and their applications in areas like traffic modeling, robotics, and biology. He was recognized in July at SIAM AN24 in Spokane, Washington, where he delivered the plenary talk, “100 Years of Traffic Models: From Road Tolls to Autonomy.”
As a faculty member in the Mathematical Science MS program, Piccoli’s research exemplifies how mathematics drives real-world innovation. From classifying optimal control systems to developing traffic models that reduce fuel consumption, his work demonstrates the power of mathematics to solve complex societal challenges. His collaborations with the CIRCLES Consortium, involving major car manufacturers, are paving the way for more efficient and sustainable transportation systems.
With over 300 research papers, seven books, and a legacy of advancing applied mathematics, Benedetto Piccoli’s career is marked by accolades such as the 2009 Fubini Prize and his recognition as a Fellow of the American Mathematical Society. Learn more about his pioneering work here, and explore how Rutgers University–Camden’s Mathematical Science MS program is shaping the future of interdisciplinary research.
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From Theory to Application: Your Pathway in Mathematical Sciences
The Mathematical Sciences Master’s Program at Rutgers University–Camden offers a comprehensive education in mathematics and statistics, emphasizing both theoretical and practical applications. Students can specialize in Pure Mathematics, focusing on areas such as algebra, geometry, analysis, and topology, or in Applied and Computational Mathematics, which includes mathematical modeling, numerical analysis, optimization, and data analysis. The program fosters a collaborative environment, providing opportunities for intellectual exchange, research collaboration, and professional networking. Graduates are well-prepared for careers in academia, research and development, data analytics, consulting, finance, engineering, and other industries that value strong quantitative and analytical skills.
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