Mayor Zohran Mamdani has promised relief for rent-stabilized tenants. But thousands of apartments under a separate city ...

Machine learning holds the potential to solve many real-world problems, but interpretability is a necessary prerequisite for practitioners in high-stakes domains such as medicine and law. Decision ...

The control of general nonlinear systems is a challenging task in particular for large-scale models as they occur in the semi-discretization of partial differential equations (PDEs) of, say, fluid ...

Note: This interview discusses plot points of Mission: Impossible—Fallout. For years, the Mission: Impossible franchise has built a reputation on pairing brainy, labyrinthian spy plots with ...

Spreading processes play an increasingly important role in marketing, opinion setting, and epidemic modeling. Most existing algorithms for optimal resource allocation in spreading processes are based ...

Abstract: We study the problem of minimum-number full-view area coverage in camera sensor networks, i.e., how to select the minimum number of camera sensors to guarantee the full-view coverage of a ...

I originally created this as a short to-do list of study topics for becoming a software engineer, but it grew to the large list you see today. After going through this study plan, I got hired as a ...

The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...

Transportation Science, Vol. 38, No. 3 (August 2004), pp. 343-356 (14 pages) Bounds and approximate formulae are developed for the average optimum distance of the transportation linear programming ...