Grad Student Supervision

PhD - Completed

1. Sean Chester, PhD, 2013 (co-supervised with V. Srinivasan and S. Whitesides)
   Thesis: Representative Subsets for Preference Queries
   Job: Postdoc at Aarhus University, Denmark


2. Bee Fong, PhD, 2013 (co-supervised with J. Weber)
   Thesis: Privacy Preserving Data Mining using Unrealized Data Sets: Scope Expansion and Data Compression
   Job: Software Engineer at Microsoft, Redmond, WA


3. Atousa Pahlevan, PhD, 2012 (co-supervised with H. Muller)
   Thesis: Dynamic Web Service Discovery
   


4. Maryam Shoaran, PhD, 2011
   Thesis: Automata methods and techniques for graph-structured data
   Job: Faculty at University of Tabriz, Iran


5. Marina Barsky, PhD, 2011 (co-supervised with U. Stege and C. Upton)
   Thesis: Suffix trees for very large inputs
   Job: Ontario Institute for Cancer Research


6. Maria Chowdhury, PhD, 2010 (co-supervised with W. Wadge)
   Thesis: Infinitesimal reasoning in information retrieval and trust-based recommendation systems
   Job: DW/BI SME Consultant, Maximus BC Health Inc.

MSc - Completed

1. Michael Simpson, MSc, 2014 (co-supervised with V. Srinivasan)
   Thesis: Clearing Contamination in Large Networks
   Job: PhD Student


2. Wissam Khaouid, MSc, 2014 (co-supervised with V. Srinivasan)
   Project: K-core Decomposition for Massive Networks on a Single PC
   


3. Nazpar Yazdanfar, MSc, 2014
   Thesis: Link Recommender: Collaborative Filtering For Recommending URLs to Twitter Users
   Job: Data Analyst at STEMCELL Technologies


4. Sadena Ashrafi, MSc, 2014 (co-supervised with W. Wadge)
   Project: A Review of Pricing Methods in Social Networks
   


5. Sahar Ebrahimi, MSc, 2013 (co-supervised with H. Muller)
   Thesis: SmarterDeals: a context-aware deal recommendation system based on the SmarterContext engine
   Job: Computer Scientist at Simba Technologies


6. Clecio Varjao, MSc, 2013 (co-supervised with J. Gutberlet)
   Project: Inventory Management System for Recycling Cooperatives in Sao Paulo
   Job: Programmer/Analyst at Queen's Printer for British Columbia


7. Nasrin Hassanlou, MSc, 2012
   Thesis: Probabilistic graph summarization
   Job: Software Engineer at Microsoft, Redmond, WA


8. Daniel Hou, MSc, 2012 (co-supervised with N. Horspool)
   Project: Experiments with and Evaluation of Statistical Machine Translation Systems
   


9. Nikolay Korovaiko, MSc, 2011
   Thesis: Predicting trust from user ratings
   Job: JIT Compiler Optimizer Developer at IBM Canada Ltd.


10. Ian Sandler, MSc, 2011
    Thesis: Mining frequent highly-correlated item-pairs at very low support levels
    Job: Ian Sandler & Associates


11. Maryam Khezrzadeh, MSc, 2010 (co-supervised with W. Wadge)
    Thesis: Harnessing the power of "favorites" lists for recommendation systems
    Job: Software Engineer at Indicee Inc.


12. Sean Chester, MSc, 2009
    Thesis: Scalable APRIORI-based frequent pattern discovery
    Job: Postdoc at Aarhus University, Denmark


13. Ying Ying Ye, MSc, 2008 (co-supervised with V. Srinivasan)
    Thesis: Visibly pushdown transducers for approximate validation of streaming XML
    Job:


14. Maryam Shoaran, MSc, 2007
    Thesis: Distributed multi-source regular path queries
    Job: Faculty at University of Tabriz, Iran


15. Manuel Tamashiro, MSc, 2007 (co-supervised with V. Srinivasan)
    Thesis: Towards practically feasible answering of regular path queries in LAV data integration
    Job: Business Intelligence Analyst at SAP


16. Zhuo Miao, MSc, 2007
    Thesis: Grid-aware evaluation of regular path queries on large spatial networks
    Job: MP


17. Marina Barsky, MSc, 2006 (co-supervised with U. Stege and C. Upton)
    Thesis: All-against-all approximate substring matching
    Job: Ontario Institute for Cancer Research

PhD - Current

1. Ian Sandler, PhD
   Topic: Mining of Social Networks


2. Aly Ahmed, PhD
   Topic: Recommender Systems


3. Tatiana Gutierrez Bunster, PhD (co-supervised with U. Stege and J. Taylor)
   Topic: Protein interaction networks


4. Arber Borici, PhD (co-supervised with D. Damian)
   Topic: Graph Compression


5. Elham Sedghi, PhD (co-supervised with J. Weber)
   Topic: Medical Text Mining


6. Kris Noesgaard, PhD (co-supervised with W. Wadge)
   Topic: Recommender Systems


7. Michael Simpson, MSc (co-supervised with V. Srinivasan)
   Topic: Removing Misinformation from Social Networks

MSc - Current

1. Mathew Imrie, MSc (co-supervised with U. Stege and J. Taylor)
   Topic: Protein Interaction Networks


2. Lan Zheng, MSc (co-supervised with K. Wu and V. Srinivasan)
   Topic: Performance of Recommender Systems


3. Jiaping Xu, MSc (co-supervised with D. Hoffman)
   Topic: Testing RDF datastores


4. Daniel Xia, MSc (co-supervised with V. Srinivasan)
   Topic: MapReduce.


5. Hu Xin, MSc
   Topic: Similarity Mining.


6. Junnan Lu, MSc
   Topic: Event Mining.


7. David Fennell, MSc
   Topic: TBD