Data Science, AI & Machine Learning
Data Science, artificial intelligence (AI) and machine learning involve making accurate predictions, data mining, machine learning, and more to guide business decisions. Research areas include: bio inspired control using data from animals, computational biology, computational imaging, cyber security, medical informatics, simulation, and video analytics.
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 […]
SHB: Type II (INT): Collaborative Research: Algorithmic Approaches to Personalized Health Care
The US health care system spends major resources on the treatment of acute conditions in a hospital setting rather than focusing on prevention and keeping patients out of the hospital. While there is no broad agreement on the potential solutions, structural reform is on the horizon. The meaningful use of Electronic Health Records (EHRs) is […]
CPS: Synergy: Collaborative Research: A Cyber-Physical Infrastructure for the “Smart City”
The project aims at making cities “smarter” by engineering processes such as traffic control, efficient parking services, and new urban activities such as recharging electric vehicles. To that end, the research will study the components needed to establish a Cyber-Physical Infrastructure for urban environments and address fundamental problems that involve data collection, resource allocation, real-time […]
CIF: Small: Sensing-Aware Decision Making for High-Dimensional Signals
There has been an explosion in our ability to sense and record the world around us. This has led to new discoveries and allowed us to consider new paradigms in nearly every walk of life. While the promise of these developments is significant, the explosion of sensing has also created substantial challenges. These challenges include […]
Collaborative Research: High-Speed AFM through Compressed Sensing
The primary research objective of this proposal is to improve the temporal resolution of atomic force microscopy (AFM) through non-raster sampling schemes based on compressed sensing (CS). While AFM continues to be used heavily for the study of systems with nanometer-scale features, its temporal resolution limits its applicability to the study of dynamics. The research […]
CAREER: System-level Run-time Management Techniques for Energy-efficient Silicon-Photonic Manycore Systems
The general purpose computing capacity of the world has been increasing at an annual rate of more than 50% over the past few decades, and this trend is expected to continue in the future. However, this increasing compute capacity directly translates to increasing power dissipation. In fact, the server farms and data centers in US […]
NeTS: Small: Understanding Communication Strategies for Ad hoc Networks
Ad-hoc networks hold great promise, but there is a vast array of competing proposals for organizing such networks. Unfortunately it is unclear, in general, how to choose among the various proposed designs in any given deployment. In response, this project is asking a fundamental question: how should a collection of nodes decide what basic architecture […]
High-dimensional Discrete Inference
Recent advances in the last decade have brought attention to the analysis of high-dimensional data and, in particular, to estimation on high-dimensional spaces. Such spaces are often structured by either exhibiting constraints on specific space components or by the incorporation of prior information identifying co-dependence patterns between components in order to help carrying out the […]
TC: Large: Securing the Open Softphone
Mobile phones are in the midst of a dramatic transformation; they are becoming highly powerful sensor-rich software-controlled computing and communication devices. These “softphones” are increasingly entrusted with maintaining users’ electronic identity, calendars, social networks, and even bank accounts. However, the vast increases in the flexibility of softphones comes with equally large security issues and opportunities, […]