Farhana H. Zulkernine, PhD, PEng

Farhana Zulkernine is an Assistant Professor and the Coordinator of the Cognitive Science program at the School of Computing at Queen's University. She holds a Ph.D. degree from the School of Computing at Queen's University and is a member of Professional Engineers of Ontario. She has more than 15 years of international work experience in three continents in software design, analysis and research.

Current Students and Postdoctoral Fellows:

Postdoctoral Fellows
Name Date Started Topic Information
Haruna Isah Nov 1, 2017 (for 2 Years) A Multilevel Streaming Data Analytics Infrastructure for Predictive Analytics

Graduate Students
Name Date Started Topic Information
Ftoon Kedwan (PhD) Fall 2017 A Distributed and Hybrid Knowledge Management Framework
Sazia Mahfuz (PhD) Fall 2017 A hybrid autonomous data analytics framework using a semantic data profiling strategy
Robert Burton (MSc) Fall 2017 Autonomous data analytics frameworks
Niventhini Indrajith (MSc Project) Fall 2017 Mining and analyzing unstructured text data in medical chart notes for diagnosing PTSD (Post Traumatic Stress Disorder)
Dharmitha Ajerla (MSc Project) Fall 2017 Edge computing for wearable sensor data analytics
Chanderdhar Sharma (MSc Project) Fall 2017 Intelligent data profiling
Dev Shah (MSc Project) Fall 2017 Financial data analytics
Tariq Abughofa (MSc) Sep 2016 A multi-level streaming data analytics framework using in-memory graph data analytics
Hadeel Alghamdi (MSc Project) Sep 2015 Extending WINGS to support distributed big data stores in analytic workflows (co-supervised)

Undergraduate Students
Name Date Started Topic Information
Michael Judd (BioComp) Sep. 2017 Using natural language processing to analyze medical chart notes
Paul Briggs (Eng.Phy) May 2017 (1 year) Using machine learning to predict enemy attacks in computer games
Lucas Rychlo (Cogs) Sep 2017 Lab Reporting to Public Health Ontario: A Cognitive Computing Approach
Mohammed Gasmallah (CISC) Sep 2017 Video Object Recognition using Deep Learning Models
Michael Petkov (CISC) Sep 2017 Image Object Recognition using Enhanced Resolution
Alex Weatherhead (CISC) Sep 2017 Designing Autonomous Vehicles using Optical Object Recognition
Daisy Barrette (CISC) Sep 2017 Training Autonomous Vehicles using Machine Learning Approach with Sensor Data
Brayden Dewar (CISC) Sep 2017 Cleaning and preprocessing EMR (Electronic Medical Record) data

Past Students:

Graduate Students
Name Date Started Topic Information
Kireet Bhat (MSc Project) Sep 2016 Extending Spark for cloud-based big data analytics
Tarek Ahmed (PhD) Apr 2016-Dec 2016 Proactive autoscaling of resources for steam processing engines in the cloud
Azadeh Eftekhari (MSc) 2013 - 2016 Binary: A framework for Big data Integration for ad-hoc Querying (co-supervised)
Mastoureh Hasanezhad (MSc) 2012 - 2014 Managing long-running queries using query progress (co-supervised)
Rizwan Mian (PhD) 2012 - 2014 Smart Spending: Determining cost-effective resource configurations for executing data-intensive workloads in public clouds (co-supervised)
Undergraduate Students
Name Date Started Topic Information
Alexandra Poole Winter 2017 Studying the symptoms of dyslexic patients with a view to building an automatic diagnostic tool.
Tiffany Leung Winter 2017 Exploring the applications of virtual reality to improve the quality of education.
Sacha Lansky Winter 2017 Studying the use of bitcoins and blockchains in enabling secure communication in multi-agent systems.
Jonathan Creighton Winter 2017 Developing a hybrid neural network model for stock market prediction
Matthew Sherar 2016-2017 Implementing a particle swarm optimization algorithm in Apache Spark for clustering big unstructured text data.
Hugo Goncalves Summer 2016 An ANN model for categorization and selection of music
Travis Rhee Winter 2016 An ANN model for predicting box office success using movie and social media data analytics
Arwin Chan Winter 2016 Creating building design forms using evolutionary computing
Dan Lefreniere Winter 2016 Predicting hypertension using ANN
Conor Fitzpatrick Winter 2015 Visual Perception and Attention for Game Development
Catherine Aylward Winter 2015 Study of cognitive models for Dyslexia
Sam Yeon Winter 2015 Developing a hybrid neural network model for stock market prediction
Mark Simon Winter 2012 Implementing CAPRI on Amazon Cloud using a Map-Reduce Framework