1. Research Topics KDD Lab Bijan Raahemi, Ph.D., P.Eng, SMIEEE Associate Professor

2. Knowledge Discovery and Data mining (KDD) Lab Researchers 1 Post-Doctoral Fellow 4 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 Click View then Header and Footer to change this footer

3. 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

4. Big Data 4

5. Map/Reduce

6. Summarizing Clusters 6

7. Merging GMM Clusters 7

8. Proposed Framework for Service Discovery Click View then Header and Footer to change this footer

9. 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)

10. Proposed Method 10

11. Thank You