Open House Friday Dec 7 10am – 2pm

QSC Open House - Dec 9 10-2

That’s right, save the date and make plans to attend Queen’s School of Computing’s Open House! Friday, December 7, from 10am – 2pm the School will open its doors to local and area high school students, their teachers, Queen’s students, faculty & staff and the Kingston community.

The day will be packed with information, hands-on demos and lab tours. This will be a terrific opportunity for everyone to see first-hand the exciting and ground-breaking research that is happening right here at Queen’s School of Computing, every day.

Come back to this site and visit our Facebook Page for further updates on the day’s planned events!

Our Open House is presented as part of Computer Science Education Week.

We’re looking forward to welcoming you to Queen’s School of Computing!

QSC Open House - Dec 9 10-2

Open House Events at Goodwin Hall, 25 Union Street:

•    6th floor lobby: Reception

Join us in the lobby to begin your tour.  Meet with undergraduate and graduate students, faculty, and staff from Queen’s School of Computing

•    521: Exer-Gaming with EQUIS Lab (Dr. Nick Graham)

Experience exer-gaming with demos from Dr. Nick Graham’s EQUIS Lab

•    Walter Light Hall 310: Queen’s Game Developers Club, Scott Grant

This is your chance to tour our undergraduate computing labs as well as hear from Scott Grant, post-doctoral fellow, instructor, and President of the Queen’s Game Developers Club.

•    Goodwin Hall 248: CISC 340 Digital Systems Projects, Dave Dove

Projects Students demonstrate their original designs for games that consist of a mix of hardware and software. The software was coded in C and runs on an embedded processor inside a Field Programmable Gate Array that also includes hardware support circuits designed by the students. The games also use a variety of interesting external sensors, display components and servo motors.

•    624: Understanding Model Evolution through Incremental Test Case Generation for UML-RT Models, Eric Rapos (Dr. Juergen Dingel)

Model driven development (MDD) is on the rise in software engineering and no more so than in the realm of real-time and embedded systems. Being able to leverage the code generation and validation techniques made available through MDD is worth exploring, and is the focus of much academic and industrial research. However given the iterative nature of MDD, the natural evolution of models causes test case generation to occur multiple times throughout a software modeling project. Currently, the existing process of regenerating test cases for a modified model of a system can be costly, inefficient, and even redundant.

Our approach to this problem was implemented in a software plugin, IncreTesCaGen, that is capable of incrementally generating test cases for a subset of UML-RT models by leveraging the existing testing artifacts (symbolic execution trees and test suites),  as well as presenting additional analysis results to the user.

•    621: Computational Protein Structure Determination, Roman Suvorov

Accurate computational protein structure determination is one the most important and challenging unsolved problems in structural biology.  In recent years, attempts to make advances in the field using traditional homology modeling and protein threading methods have produced lackluster results.  Our research focuses on a different approach that refines good models to near-atomic resolution using a combination of force and knowledge fields with a focus on preserving hydrogen bonding networks.

•    627: Telecommunications Research Lab (Dr. Hossam Hassanein)

“Realizing the rapidly evolving nature of telecommunications, at Queen’s TRL we solidify our impact with innovative solutions, emphasizing practicality at its core. We strive to advance the way we live and communicate. Queen’s TRL’s outstanding achievements not only impact Canadians, but also play a key role in shaping the future of wireless technologies, services and networking applications around the world.”

•    631: Database Systems Lab, Wendy Powley (Dr. Pat Martin)

The Database Systems Laboratory specializes in Cloud Computing, Mobile Computing, Database Systems and Autonomic Computing.

Mohammad Tauhidul Islam
Machine to machine (M2M) communication enables unsupervised and ubiquitous communication among large number of machines without any human intervention. The purpose of this research is to identify the suitability of cellular networks for M2M communication and how different cellular technology manages the access of massive number of machines to the network.

•    636: Image and Graphics Lab

Thomas Vaughan, Matt Slonetsky, and Dr. James Stewart demonstrate their latest works.  See a 3D printer in action, as it applies to computer assisted surgery and beyond.

•   757: Biomedical Computing Demos (Dr. Gabor Ficthinger, Dr. Parvin Mousavi)

  • Workflow segmentation project in Slicer – Matthew Holden

Feedback is an important part of the surgical learning process, however, expert supervision is very costly. This demonstration illustrates how trainees can be provided with feedback automatically using needle motion recognition and segmentation algorithms.

  •  Ultrasound Simulator – Laura Bartha

Ultrasound simulation is being developed to help train medical students.
This demo lets you experience what such a trainee would experience, which
involves moving a tracked dummy probe and seeing it move on screen
relative to a virtual spine model and the simulated ultrasound image.

  • Perk Tutor – Eric Moult and Simrin Nagpal

Perk tutor uses electromagnetic tracking to follow the positions of a needle in space in relation to a plastic model of the spine. This allows for augmented visualization for percutaneous needle insertions.

  • Perk Station – Jennifer, Melissa and Sue Sue

The Perk Station is a surgical navigation workstation for hands-on practice with computer assisted surgery on non-biohazardous specimens in a standard ‘dry’ laboratory.

•    724: Geoffrey Seaborn
At the Queen’ s Arrhythmia Research Centre, physicians, scientists, and students are performing promising research studies in order to provide better outcomes for patients with heart disease, and to reduce the tremendous burden heart disease places on healthcare resources. Through these collaborations of expert physicians at the Kingston General Hospital and the Hotel Dieu Hospital with Queen’ s students from diverse disciplines, research results are directly translated into improved healthcare.

•    724: Emese Somogyvari

Computer animation projects.

•    736: Medical Computing (Elodie Lugez)
In the Medical Computing Lab, I will present my current research which consists on combining Optical and Electromagnetic tracking systems used for tracking surgeons’ tools during surgical procedures.

•    736: Medical Computing (Brian Rasquinha)

Fusing computer-assisted techniques with surgery comes with numerous benefits, such as a significant increase in outcome success. With collaborators at Kingston General Hospital, these types of techniques have been integrated to aid in total hip replacement and hip resurfacing procedures – surgeries that a small deviation in angle or placement of a prosthetic can lead to premature failure. Come and test your “surgeon hands” on our virtual surgery model and see the future of surgery for yourself.

•    156 Barrie: SAIL Lab Demos (Dr. Ahmed Hassan)

Shane McIntosh (PhD Student) – “Orchestrating” Software Change

Software developers produce reams of historical data as they fix bugs and add new features to software. While this rich historical data source is quite useful for software teams to learn from past mistakes, it is often left unused. In our work, we use music to communicate that historical data.

Israel Mojica (MSc Student) – Mobile App Development

We show that Google Play is growing exponentially and why we think this is possible. We also will present why it is possible for anyone to build an app easily, and what to do to make the app successful. We will also explain the possible business models available for app developers to make money from these apps.

Hammad Khalid (Undergraduate Student) – Why Users don’t like apps

This presentation is about our previous work where we wanted to understand why users give bad ratings to mobile apps. By crawling Android and iOS app markets for app reviews, we figured out that people really don’t like apps that violate their privacy or if they have hidden costs. We also found that many of the apps have more problems reported after an update

•    Jackson Hall 3rd Floor, Human Media Lab (HML)

  • Peng Wang: TeleHuman and Flexible Wall Display
  • Aneesh Tarun: Paper Tablet
  • Antonio Gomez: Extractor: Embodied First Person Shooter
  • Aaron Visser: Eye sensitive Privacy Window
  • Nick Fellion: Laser Ceiling
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