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Wednesday, July 11, 2018 12:00 pm - 1:00 pm EDT (GMT -04:00)

Beyond Entrepreneurship

Waterloo empowers entrepreneurs to go beyond.

Entrepreneurs are natural problem solvers. Beyond creating companies that bring innovative and world-changing ideas to the global market place, entrepreneurs are increasingly acting as community builders, industry change agents, and global disruptors.

Find out why.

Torben Bach Pedersen, Professor of Computer Science
Aalborg University

Data collected from new sources such as sensors and smart devices is large, fast, and often complex. There is a universal wish to perform multidimensional OLAP-style analytics on such data, i.e., to turn it into “Big Multidimensional Data.” Supporting this is a multi-stage journey, requiring new tools and systems, and forming a new, extended data cycle with models as a key concept. We will look at three specifics steps in this data cycle.

Daniel M. Berry
David R. Cheriton School of Computer Science

Dan Berry weaves the twin peaks of (1) his life in computing, programming, programming languages, software engineering, electronic publishing, and requirements engineering with (2) the almost concurrent development of programming languages, software engineering, and requirements engineering.

Finn Lidbetter, Master’s candidate
David R. Cheriton School of Computer Science

The fundamental problem of additive number theory is to determine whether there exists an integer m such that every nonnegative integer (resp., every sufficiently large nonnegative integer) is the sum of at most m elements of S. If so, we call S an additive basis of order m (resp., an asymptotic additive basis of order m). If such an m exists, we also want to find the smallest such m.

Carolyn Lamb, PhD candidate
David R. Cheriton School of Computer Science

We describe three versions of TwitSong, a system that generates poetry based on the news. TwitSong is designed to make aesthetic decisions about potential lines of poetry and, in the third version, to edit its own work. We describe how the system was developed, how it performs in user studies, and why this type of computer-generated poetry still has a long way to go.

Daniel Recoskie, PhD candidate
David R. Cheriton School of Computer Science

The wavelet transform has seen success when incorporated into neural network architectures, such as in wavelet scattering networks. More recently, it has been shown that the dual-tree complex wavelet transform can provide better representations than the standard transform.