E²SHI Seminar: Rethinking the Mathematics of Decisions in Energy and Transportation Systems

Wed, March 25 at 3:30 pm
JHU Homewood campus, Mergenthaler Hall, Room 111
3400 N. Charles St, Baltimore, MD 21218

Download the seminar flyer (PDF)

Solving the grand challenges of today in energy, climate change, and urbanization require the coordination of diverse ideas to achieve ideal results. For this, we need a new type of mathematics that allows us to capture the interaction of players within the system and identifies means of change. In this E²SHI seminar, Sauleh Siddiqui from the Johns Hopkins Department of Civil Engineering presents a modeling framework that provides insight for better intervention in energy and transportation systems. 

Dr. Siddiqui is a recipient of the 2013-14 E²SHI seed grant on a similar topic. Learn more about his research.

Meet the Presenter

Sauleh Siddiqui is an Assistant Professor of Civil Engineering with an appointment in Applied Mathematics & Statistics at Johns Hopkins University and is affiliated with the Systems Institute. His research is on formulating and solving optimization and game theory models applicable to large-scale systems. Such systems arise when modeling problems in energy and environmental markets, transportation, and public health.

Dr. Siddiqui received an A.B. in Mathematics and Public Policy from Franklin & Marshall College  and a Ph.D. in Applied Mathematics & Statistics, and Scientific Computation from the University of Maryland.


What is Scientific Modeling?

What exactly is scientific modeling? Don't know what a modeling framework entails? 

Scientific modeling is simply a way to help you to understand and visualize a phenomenon that is difficult to observe directly. Often times, models describe abstract or hypothetical behaviors. For example, projecting health outcomes of disease epidemics are based on previous knowledge and data. Such knowledge and data help predict future, hypothetical occurrences. It is important to consider that scientific modeling is limited in the fact that models are still not complete representations. See more information about scientific modeling

Photo captions: A derailed oil train in Lynchburg, VA spilled up to 25,000 gallons into the James River in April 2014.

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What’s the use of having developed a science well enough to make predictions if, in the end, all we’re willing to do is stand around and wait for them to come true?
— Dr. F. Sherwood Rowland