Overview The spread of the Corona Virus Disease 2019 (COVID-19), a highly-infectious disease caused by a newly discovered coronavirus, has reached pandemic levels across the globe. As of April 28, 2020, over 3.1M people worldwide have been infected with almost 220k...

We analyze the optimization landscape of a recently introduced tunable class of loss functions called α-loss, α∈(0,∞], in the logistic model. This family encapsulates the exponential loss (α=1/2), the log-loss (α=1), and the 0-1 loss (α=∞) and contains compelling properties that enable the practitioner to discern among a host of operating conditions relevant to emerging learning methods. Specifically, we study the evolution of the optimization landscape of α-loss with respect to α using tools drawn from the study of strictly-locally-quasi-convex functions in addition to geometric techniques. We interpret these results in terms of optimization complexity via normalized gradient descent.

The potential real-time situational awareness enabled by phasor measurements has been impeded by the massive scale of the time-series PMU data and have limited its use to passive, post-event forensics. The Institute meets this need for PMU-based real-time decision-making by examining five critical problems: (i) ensure data quality against bad, missing, or stale data; (ii) exploit the fine granularity of PMU data to track real-time changes in network parameters; (iii) detect, identify, localize, and visualize oscillation and failure events; (iv) assess and visualize cybersecurity threats and countermeasures specific to PMUs; and (v) create synthetic PMU datasets for testing and validation.

Introduction   The US represent 18% of the world consumption as of 2015. 3200 electric utility companies 17,000 power plants 800 GW peak demand 165,000 miles of high-voltage lines 140 million meters $ 1 trillion in assets Electric network ca be divided into three...

In large wireless networks, heterogeneous users with competing interests may not cooperate to share their resources without incentives. Using information rate as the incentive for every link in a network of multiple interfering links, we use coalitional game theory to...

While cooperation can increase diversity in wireless networks, the tradeoff at every node of using resources for self vs. cooperative transmissions can make dedicated relays desirable. In my doctoral work, I compare the diversity gains achieved by inter-user...

The capacity region of multi-terminal networks remains a long-standing open problem, with the exception of a few classes of networks. With increasing demand for wireless data networks, developing fundamental performance limits is both essential and imperative to...

In contrast to and in addition to the traditional link layer cryptographic schemes, a relay can exploit the noisy physical channel to assist in ensuring the secrecy of data packets from untrusted eavesdropping nodes. In [1], we develop optimal source and relay...

Wireless networks are characterized by two distinct features: fading and interference. Signal designs for wireless networks need to be optimized for channel variations for efficient allocation of radio resources. I develop optimal signal designs and scheduling...

Information technology and electronic communications have been rapidly applied to every sphere of human activity, including commerce, medicine and social networking. The concomitant emergence of myriad large centralized searchable data repositories has made "leakage"...

One of the hallmarks of the smart grid is a vastly expanded information collection and monitoring system using sensing, communication, and control technologies including GPS-synchronized phasor measurement units (PMUs) in the high voltage transmission networks and...