Welcome

I am an assistant professor in the Department of Computer-Science and Software Engineering at Concordia University in Montreal, and the head of the Concordia Data Systems (CoDS) lab. My research interests are in the broad areas of parallel/distributed systems, data management, and machine learning for developing systems for federated data science and big data analytics.

Current Research projects at CoDS:

• A Data Discovery Platform for Data Science
• A Natural Language Platform for Querying RDF Graphs
• A Federated Learning Platform for linked data and Knowledge Graphs
• Data Science Versioning Control with Explanation and Data Bias Detection Methods

I am looking for PhD students with the following qualifications:

• excellent skills in programming,
• M.Sc. in computer science or a related field,
• experience in databases, RDF, graph data management, NLP, ML, or distributed systems, and
• excellent written and oral communication skills (English).

Note: I do not have openings for Master students.

Other Recent Research Projects

• The Data Civilizer System
• Managing Linked Data at Scale: Querying, Integrating, and Sharing
• Elastic in-memory OLTP Systems
• Large-scale Analytics on Strings

Academic Service

A Program Committee member of:

• SIGMOD 2021
• VLDB 2021
• VLDB 2020
• VLDB 2019
• VLDB 2018
• VLDB 2017
• SIGMOD 2016
• ICDE 2016

I also regularly review for a number of international journals including:

• ACM Transactions on Database Systems (TODS)
• The International Journal on Very Large Data Bases (VLDB Journal)
• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• IEEE Transactions on Parallel and Distributed Systems (TPDS)
• IEEE Transactions on Cloud Computing (TCCSI)
• IEEE Transactions on Big Data (TBD)