Bobak Nazer
CIF: Medium: Discovering Changes in Networks: Fundamental Limits, Efficient Algorithms, and Large-Scale Neuroscience
Modern technological advances have made it possible to collect extremely large datasets across a wide range of disciplines, spanning from social science to neuroscience. These datasets often consist of the activity patterns of many nodes that together form a network. For instance, in a social network, each node can represent a person while a connection […]
NSF Student Travel Grant for the 2019 IEEE North American School of Information Theory (NASIT 2019)
This project funds U.S. student participation at the 12th annual IEEE North American School for Information Theory (NASIT). Information Theory studies the transmission, processing, and use of information in many contexts; it draws from and contributes to a large number of disciplines in the engineering, computer, and mathematical sciences. The types of research topics presented […]
Convergence: RAISE Integrating machine learning and biological neural networks
The field of neuroscience is undergoing a rapid transformation, and within the next decade, it may become possible to capture data from millions of individual neurons at the same time. Such a technological advancement would allow scientists to record and analyze a significant fraction of the brain’s neural network at unprecedented spatial and time resolutions. […]
CIF: Small: Algebraic Network Information Theory
The demand for data services has grown exponentially over the past decade, driven by data-hungry applications such as mobile video, and is forecasted to accelerate through the next decade. To keep up with this demand, new infrastructure is being built at a rapid pace, leading to denser, more complex deployments. Concurrently, mobile processing power has […]
CIF: Small: Collaborative Research: Exploring Synergies of Multi-State Networks
The objective of this project is to undertake a comprehensive study of synergistic gains for multi-state communication networks and develop strategies that can exploit them. The project is organized into three complementary thrusts, focusing on 1) dynamic channels, 2) dynamic channel knowledge, and 3) mixed channel knowledge. The first thrust seeks ways to exploit channel […]
CIF: Medium: Collaborative Research: Interference-Aware Cooperation via Structured Codes: Creating an Empirical Cycle
The classical approach to wireless communication is to isolate communication links by maximizing signal strength and minimizing interference between users. This simple philosophy is supported by a rich theoretical foundation which has inspired powerful coding techniques and protocols that lie at the heart of modern wireless systems. However, these systems have recently become victims of […]
CAREER: Harnessing Interference Structure in Networks
Wireless networks are the fabric of the mobile Internet. High-speed, ubiquitous wireless access is increasingly an enabling technology for important applications ranging from communication to commerce, medicine, and education. It is thus critical to create a pathway for sustainable wireless network growth in terms of the number of users and their data rates. A major […]