Step Down Units (SDUs) provide an intermediate level of care between the Intensive Care Units (ICUs) and the general medical-surgical wards. Because SDUs are less richly staffed than ICUs, they are less costly to operate; however, they also are unable to provide the level of care required by the sickest patients. There is an ongoing debate in the medical community as... Read More

Flexibility from energy storage and flexible load aggregations is essential to renewable energy integration. The broad adoption of storage in power systems is hindered by its cost and awkward regulatory rules. In this talk, we present a new financial mechanism that widens the economic viability of energy storage.

We begin with the question: Should energy storage... Read More

Thursday, October 23, 2014 - 4:00pm

We provide a new proof of the fact that Mathematical Programming is Turing-complete, and show how it can be useful in the analysis of code, by presenting two applications. The first aims to find hard inputs for given programs. The second finds relaxations of the set of values taken by the program variables during execution, without actually executing the code.

... Read More

Tuesday, September 30, 2014 - 4:00pm

Public Lecture - "Succeding with Business Analytics - Key Challenges"

Big Data, Analytics, Data-driven decisions, predictive modeling, machine learning and so on. All these terms have become ubiquitous in our daily lives. We hear about the applications of neural networks or logistic regrssion in multiple industries even on our daily commute to work. Does this... Read More

Thursday, April 17, 2014 - 3:30pm

Public Lecture - "Cognitive Computing: Behind and Beyond Jeopardy!"

In 2011 a computer named Watson demonstrated super human question answering ability by defeating two Jeopardy! grand champions marking the beginning of a new era of computing. Rather than being programmed to execute specific tasks, cognitive computing... Read More

In this work we show that randomized (block) coordinate descent methods can be accelerated by parallelization when applied to the problem of minimizing the sum of a partially separable smooth convex function and a simple separable convex function. The theoretical speedup, as compared to the serial method, and referring to the number of iterations needed to... Read More

In the interconnected world of today, large-scale networked systems are ubiquitous. Some examples include communication networks, electricity grid and sensor networks. In this talk, we describe two recent results related to these networked systems. In the first part, we present a fast distributed asynchronous Alternating Direction Method of Multipliers (ADMM) based... Read More

Decision-making problems that arise in complex systems (e.g., power grids, emergency logistics, communications networks and supply chains) invariably involve uncertainty and risk. These problems are further complicated by the combinatorial nature of the decisions involved. First, we consider multi-stage linear optimization problems under reliability or quality of... Read More

Massive graph datasets are used operationally by providers of internet, social network and search services. Sampling can reduce storage requirements as well as query execution times, while prolonging the useful life of the data for baselining and retrospective analysis. Sampling must mediate between the characteristics of the data, the available resources, and the... Read More

Nature loves symmetry. Artists love symmetry. People love symmetry. Mathematicians and computer scientists also love symmetry, with the only exception of mathematical programmers, who always want to break it. Why? Symmetry is of great help in simplifying optimization in a convex setting, but in the discrete case it can trick search algorithms because symmetric... Read More