LTU CS Class Project Awards Home

This award is to promote project / problem based learning in Computer Science classes, Department of Math and Computer Science at Lawrence Technological University.

Call for nominations PDF

2016-2017 results

2017-2018

Winners

Ian Timmis - Breast Cancer Image Classification using Deep Learning
Ian Timmis & Nick Paul - Teaching Cars to Steer Themselves
Nick Paul - Combining deep learning and citizen science for morphological analysis of galaxy images

Judges:

Jonathan Kade, Amazon.com, Software Development Engineer II
Kevin M. Ure, Ford Motor Company, Emerging Technology Researcher
Carol Yerby, Dominion Technologies Group, technical writer
Vasudha Deepak, Vice President at JPMorgan Chase
Jeff Lemmer, Ford Motor Company, Vice President and Chief Information Officer
Paul Pietrzyk, Ford Motor Company, Software Design Engineer for Powertrain Controls

Judging ruburic & summary in jpg

Nominees

Sindhu Jampani - Optimizing University Course Schedules Using Evolution Strategies

Documentation
Video: P resentation and a demo run (1 min. 48 sec)

Hannan Jalnko - Vcc object classification using Deep Learing

Documentation
Video (3:37)

Zhen Liu - Vandalized Traffic Sign Image Classification using Deep Learing

Salvatore Canale - Sentiment Analysis Social Media Communities
& Violence

Documentation
Video: P resentation (10:47)

Kevin Cox - Virtual Ring Rally: Virtual Reality Flying Game

Documentation
Gameplay video (1:39)

Nick Paul - Combining deep learning and citizen science for morphological analysis of galaxy images

Documentation
Video (4:58)

Ian Timmis - Breast Cancer Image Classification using Deep Learning

Documentation
Video (7:35)

Ben Warrick - Development of LTU ACTor (Autonomous Campus TranspORt) Vehicle Model (Polaris GEM e2) using ROS GAZEBO

Documentation
Video (4:28)

Ian Timmis and Nick Paul - Teaching Cars to Steer Themselves
With Deep Learning

Documentation
Video (1:50)