School of Graduate Studies

School of Graduate Studies
School of Graduate Studies

Big Data PechaKucha Research Showcase on March 1Big Data pecha kucha poster

Join us for our Big Data PechaKucha Research showcase, which is part of the Big Data 175 series. Graduate students from a variety of disciplines whose research looks at Big Data will present their ideas in the fun and engaging PechaKucha 20x20 style to the Queen’s and Kingston community.

6:30 pm, March 1, 2017
The University Club

Everyone is Welcome
Refreshments will be served. Please RSVP to sgsevent@queensu.ca

Presentations

Shadi​QDrill: You too can drill through Big Data
Shadi Khalifa, School of Computing 

​Shadi Khalifa is a doctoral student at the Centre for Advanced Computing working under the supervision of Dr. Pat Martin. He will receive his PhD in 2017 from Queen's University specialized in Big Data Analytics. He received his BSc in 2006 and MSc in 2011 both in Information Technology from Cairo University. He has 12 refereed publications, two of which are extensive surveys acting as a main source of information for the Big Data Analytics and the Cellular Networks Inter Cell Interference Coordination fields. Shadi also likes to contribute back to society, and so has developed the free open-source QDrill solution for easy distributed Big Data Analytics and the HSBT NS2 high speed Bluetooth simulation model. His current interests include Intelligent Assistance, Big Data Analytics, Human-Analytics Interaction, Bioinformatics Analytics, Machine Learning, and Distributed Processing.

FredThe Exploitation of Physician Prescribing Data as a Health Information Industry Standard: A Case for Big Data Practices and Pitfalls
Frederick Langshaw, MA student, Department of Sociology 

Fred Langshaw is a Master’s student in the Department of Sociology working under the supervision of Dr. Annette Burfoot. He earned his Bachelor’s Degree in Sociology from Concordia University in 2016, in his hometown of Montreal, where he also worked as a research assistant and consultant. 

DebraLeft to Their Own Devices(?): Privacy Implications of Wearables in the Workplace
Debra Mackinnon and Steven Richardson, PhD students, Department of Sociology

Debra Mackinnon is a PhD Candidate in the Department of Sociology working under the supervision of Dr. David Murakami Wood. Her research focuses on urban governance and the creation of Canadian public-private surveillance networks. She is currently a lead investigator on a Contributions Grant from the Office of the Privacy Commissioner.

steve
Steven Richardson is a PhD Candidate in the Department of Sociology working under the supervision of Dr. Sergio Sismondo. His research examines the development of emerging technologies in socio-technical environments – particularly, the push and pull of users' own contributions to the design and development of these technologies. He is currently a lead investigator on a Contributions Grant from the Office of the Privacy Commissioner.
 

 

DanBrains and Big Data: Using Neuroimaging to Understand How the Human Brain Solves Real-World Tasks
Daniel J. Gale, Master’s student, Queen’s Centre for Neuroscience Studies

Dan Gale is a first year Master’s student in the Centre for Neuroscience Studies under the supervision of Dr. Jason Gallivan and Dr. Randy Flanagan. His research pertains to understanding the cognitive and neural bases that underlie movement and
action. Dan became interested in this area, along with big data and scientific computing, during his BScH in Psychology at Queen’s University.  
 

VictoriaThe Space Between Heartbeats: Using Big Data to enhance patient care in the ICU
Victoria Tolls, Master’s student, School of Computing

Victoria Tolls is a current Master’s of Science student in the School of Computing co-supervised by Dr. David Maslove, Dr. Karen Rudie and Dr. Evelyn Morin. She received her Bachelor’s degree in Bioinformatics in 2016 from Carleton University. Victoria’s current area of research is biomedical informatics, with a particular focus on heart rate variability in the Intensive Care Unit. She is co-supervised by Dr. David Maslove, Dr. Karen Rudie and Dr. Evelyn Morin.