Abstract: Congestion is one of the most important challenges in computer network communication. In this talk, we will learn what network congestion is, delve into its causes, and examine its impact on network performance...
Abstract: Congestion is one of the most important challenges in computer network communication. In this talk, we will learn what network congestion is, delve into its causes, and examine its impact on network performance...
Abstract: Interactive data interfaces (e.g., visualizations,dashboards) are critical in nearly every stage of data management. I believe interactive data interfaces, rather than traditional programming, will be the...
Mark your calendars! RTC is hosting two events in November where we'll be talking about the white paper “Towards an AI Accountability Policy,” co-written by UMass Amherst faculty and students in response to the “AI...
Tomm Hebb and Manish Bhatt are Security Engineers at Meta working on Red Team X, a security research team. They'll be running an interactive, hands-on security workshop in LGRC A215 for a limited number of students...
Abstract: Urban forests provide significant benefits to urban societies. However, planning and maintaining these forests is expensive. One particularly costly aspect of urban forest management is monitoring the existing...
Abstract: Hash functions are now an essential part of cryptography, data science and cyber security. As part of the Cryptography course we will review their properties, try to develop our own hash function, explore how...
Abstract: In this talk, I will discuss some practical multiplexing-based policies for long-distance entanglement distribution in quantum networks. We propose two paradigmatic policies namely farthest neighbor swap-asap...
Join us for our second annual CICS Research Night –an event designed to introduce undergraduates to research opportunities in the Manning College of Information and Computer Sciences. The event has two parts: 1) a panel...
Abstract: Wireless sensors and edge-cloud analytics can gather and process vast amounts of data about the physical world, offering radical new insights about everything from critical infrastructure to interpersonal...
Abstract: Most social network analysis assumes an objective network of shared social ties, typically measured as self-reports from research subjects. Although it is common for two parties to give discrepant reports of...