Research Topics

KDD Lab

Bijan Raahemi, Ph.D., P.Eng, SMIEEEAssociate Professor

Knowledge Discovery and Data mining (KDD) Lab

• Researchers1 Post-Doctoral Fellow4 Ph.D. students (2 in EBT, 2 in CS)2 M.Sc. Students (1 in EBT, 1 in SS)2 Master Students (2 in EBT)1 Visiting M.Sc. Student (ECE, Alberta)

• Equipments– Servers – Storage Devices– CCS resources

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• Stream Data• Big Data • Applications in

Engineering, Healthcare, and Business

My Areas of Research in the KDD Lab

Data Mining & Machine Learning

Information Systems

• Data Communications Networks and Services

• Service Oriented Organizations

Big Data

4

Map/Reduce

Summarizing Clusters

6

Merging GMM Clusters

7

Proposed Framework for Service Discovery

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Brain-based Biomarkers for Depression Diagnoses

9

• Providing a quantitative measure to assist diagnosis of depressed patient.

• Identify the most significant biomarkers in the EEG signals that can help physicians in their decision making.

Objectives

• Records the electric activities of the brain by attaching 28 electrodes on the scalp.

• 4 frequency bands: Alpha, Beta, Theta and Delta Recorded from Mastoid & Cz Session Eyes Open & Eyes Closed 53 patients, and 42 healthy individuals Collected by the Royal Ottawa Hospital

Electroencephalogram (EEG)

Proposed Method

10

Thank You