• Ajerla, D., Mahfuz, S.*, and Zulkernine, F. (2018). An Edge Computing Framework to Receive and Process Streaming Wearable Sensor Data for Patient Monitoring. Poster presented at the Twenty-First Annual Scientific Meeting for Health Science Research Trainees, Queen's University, Kingston, Ontario, Canada, June 13, 2018. (work progressed from graduate course project; institutional conference).

  • Mahfuz, S.* and Silver D. (2017). Generating effective virtual examples in lifelong machine learning. Presented in Acadia’s 4th Annual Student Research and Innovation Conference, Acadia University, Wolfville, Nova Scotia, Canada, March 03-04, 2017 (Master's research work; institutional conference).

  • Mahfuz, S.* and Silver D. (2016). Effective consolidation in lifelong machine learning using deep learning architecture. Presented in the 2016 Science Atlantic Mathematics, Statistics and Computer Science, Cape Breton University, Sydney, Nova Scotia, Canada, October 14-16, 2016. (Master’s research work; Atlantic region conference).

Peer-reviewed contributions
Non-peer-reviewed contributions

- Claude Bernard -

“The joy of discovery is certainly the liveliest that the mind of man can ever feel”


© 2018 by Sazia Mahfuz.

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