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Research Topics and Projects

Research Areas

  • Artificial Intelligence (AI) and Web
  • Bioinformatics
  • Databases and Data Mining
  • High Performance and Grid Computing
  • Networking
  • Software Engineering
  • Theoretical Computer Science
  • Vision and Pattern Recognition
  • Language Engineering

Use the links on left for further information on each area.

NSERC Projects

  • Advancing the applicability of model checking and FSM-based testing techniques to complex software systems (Chen, Xiaojun)
  • Computational intelligent methods for the analysis of molecular data (Ngom, Alioune)
  • Content-based visual information indexing and retrieval (Ahmad, Imran)
  • Design and implementation of a relational probabilistic inference engine for large and complex domains (Wu, Dan)
  • New strategies for designing survivable WDM networks
     (Jaekel, Arunita)
  • Design of resilient WDM networks (Bandyopadhyay, Subir)
  • Distributed query optimization (Morrissey, Joan)
  • Efficient Linear Dimensionality Reduction and Optimal Multi-dimensional clustering (Rueda, Luis)
  • Evolutionary learning in complex social networks (Kobti, Ziad)
  • Design of G-CODE algorithms and components (Aggarwal, Akshai Kumar)
  • Graph connectivity and related problems (Tsin, Yung)
  • Geometric optimization: theory and applications (Mukhopadhyay, Asish)
  • Intelligent dynamic scheduling in clusters and computational grids (Sodan, Angela)
  • Investigation of distributed natural-language speech interfaces (Frost, Richard)
  • Mining sequences and streams in web, sensors and network datasets (Ezeife, Christie)
  • Probabilistic model building heuristics for bioinformatics (Gras, Robin)
  • A sensor network for mobile port data stream mining (Aggarwal AK)
  • Toward human/computer cooperations in virtual synergy (Yuan, Xiaobu)
  • Web information system reengineering (Lu, Jianguo)


 

Photo Gallery

Research Activities


Typical Robot in Research Lab


SHARCNET Logo


Authors of Parallelism in Multicore and Multithreaded CPUs


Temportal Inference Project (TIP) Members