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ABI-ONE ghc program v14.indd - Grace Hopper Celebration of ...

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GENERAL POSTER SESSION<br />

W e d n e s d ay | s e p T 3 0<br />

algorithms for learning MLNs can only deal<br />

with small datasets with few descriptive<br />

attributes. Non-binary descriptive attributes<br />

dramatically increase the search space <strong>of</strong><br />

possible candidate clauses. We propose and<br />

implement an innovative Joint-Bayesian-<br />

Network (JBN) algorithm for learning a<br />

directed relational model, and JBN performs<br />

much better in runtime and predication than<br />

other benchmark algorithms.<br />

Student Organized Workshops:<br />

Experiences From The Women in<br />

Machine Learning Workshop<br />

Presenter: Inmar Givoni (University <strong>of</strong><br />

Toronto)<br />

Topic-specific workshops that bring<br />

together students and researchers<br />

from across the globe are a great way to<br />

build supportive communities for women<br />

in computing. Such events can be found<br />

and organized by graduate students even<br />

when they are geographically apart. This is<br />

a case-study <strong>of</strong> my experiences from organizing<br />

such a workshop. I hope describing<br />

the positive impact <strong>of</strong> the workshop would<br />

potentially motivate other graduate students<br />

to take similar action.<br />

Surprise Recognition and Reasoning<br />

with the Help <strong>of</strong> Distributed Game<br />

Players<br />

Presenter: Xiaoxi Xu (University <strong>of</strong><br />

Massachusetts, Amherst)<br />

Given that change is ubiquitous, it is<br />

necessary for many <strong>of</strong> our systems to<br />

recognize surprising and provocative events<br />

and learn from them. In this project, we are<br />

concerned with how to recognize surprising<br />

events and reason about subsequent similar<br />

events. We proposed two interactive online<br />

games that entice distributed players to<br />

help solve concerned problems in a way<br />

not possible by either humans or computers<br />

alone.<br />

Sustainable Multi-Robot Patrol <strong>of</strong> an<br />

Open Polyline<br />

Presenter: Elizabeth A Jensen (University<br />

<strong>of</strong> Minnesota)<br />

In multi-robot patrol, a team <strong>of</strong> robots<br />

works to optimize the frequency with<br />

which they cover a set <strong>of</strong> points. While<br />

previous work has focused on the uniformity<br />

<strong>of</strong> the patrol algorithm, we focus on the<br />

longevity <strong>of</strong> the system. We present an<br />

algorithm that maintains coverage <strong>of</strong> an<br />

open polyline using simple robots that have<br />

limited battery lives. We present results<br />

obtained through both physical experiments<br />

and simulations.<br />

Teaching Across Boundaries: Classes<br />

in the Online Environment<br />

Presenter: Antoinette Davis (University <strong>of</strong><br />

Kentucky)<br />

Online education provides an excellent<br />

opportunity for teachers and students<br />

to collaborate in the digital environment,<br />

across geographical boundaries. This<br />

poster highlights the challenges faced in<br />

online classrooms, especially in the STEM<br />

disciplines. It also presents various strategies<br />

and technologies that can make online<br />

courses more engaging and student-friendly.<br />

The authors hope this poster will serve to<br />

engender discussions and collaborations<br />

among the community <strong>of</strong> online educators<br />

at GHC.<br />

Teaching Girls Programming: The<br />

Intentional Method<br />

Presenter: Kenny Spade (Micros<strong>of</strong>t)<br />

Learn to engage first year <strong>program</strong>ming<br />

students using free courseware<br />

developed via a new teaching method.<br />

Llewellyn Falco and Lynn Langit, pr<strong>of</strong>essional<br />

<strong>program</strong>mers, have created and<br />

tested a set <strong>of</strong> reusable, gender-neutral<br />

courseware. Using their intentional teaching<br />

method (based on the best <strong>of</strong> Agile practices<br />

and more), they have successfully started<br />

hundreds <strong>of</strong> kids <strong>program</strong>ming. Stop by their<br />

poster session to try out the courseware live<br />

at GHC.<br />

Technology and Persuading Teenagers’<br />

Physical Activity<br />

Presenter: Sonia M. Arteaga (University <strong>of</strong><br />

California, Santa Cruz)<br />

Obesity trends in youth have been on the<br />

rise resulting in an increased risk <strong>of</strong><br />

health problems, such as TypeII Diabetes.<br />

Not only is obesity detrimental to one’s<br />

health, but it also puts increased pressure<br />

on health care and medical expenses. This<br />

project investigates the use <strong>of</strong> persuasive<br />

technologies to motivate teenagers to<br />

become and continue being physically<br />

active. Design guidelines for this user group<br />

and lessons learned are discussed.<br />

The 1st Database for Experimentally<br />

Discovered microRNA Pr<strong>of</strong>iles in<br />

Human Cancers and Integrated Tools<br />

for microRNA Sequence Analysis<br />

Presenter: Boya Xie (East Carolina<br />

University)<br />

We developed a tool called miRSAT<br />

with a database called miRCDB for<br />

microRNA sequence analysis and cancerrelated<br />

research. The miRSAT aims to<br />

provide computational sequence analysis<br />

for microRNAs <strong>of</strong> both animals and plants to<br />

help researchers discover possible relationships,<br />

functionalities, and evolutionary<br />

histories <strong>of</strong> microRNAs. On the other hand,<br />

miRCDB is the first database that stores<br />

detailed miRNA experimental expression<br />

pr<strong>of</strong>iles in human cancers.<br />

The Amblr: A New Way to Explore a<br />

Music Collection<br />

Presenter: Rebecca L. Stewart (University<br />

<strong>of</strong> London, Queen Mary)<br />

Browsing music usually means searching<br />

through artist/album/track listings,<br />

but relying on these textual descriptions<br />

<strong>of</strong> music can be limiting. A music browser<br />

that does not rely on reading, but instead on<br />

listening is proposed. This poster presents<br />

Anita Borg Institute for Women and Technology | <strong>Grace</strong> <strong>Hopper</strong> <strong>Celebration</strong> <strong>of</strong> Women in Computing 61

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