Director: Farhana H. Zulkernine
Located at: 633 Goodwin Hall
Kingston, ON, Canada
Isaac Hogan, Donghao Qiao, Ruikang Luo, Mojtaba Moattari, and Austin Carthy received the best student paper award at IEEE CogMI (Cognitive Machine Intelligence) 2021 for Hogan, I., Qiao, D., Luo, R., Moattari, M., Carthy, A., Zulkernine, F., Rivest, F., Brenton, M., 2021, "FireWarn: Recognizing Fire Hazards Using Computer Vision”.
Jason Lam and Yuhao Chen received the best paper award at MLLD 2021 for Lam, J., Chen, Y., Zulkernine, F, and Dahan, S., 2021. "Detection of Similar Legal Cases on Personal Injury", at the IEEE International Conference on Data Mining workshop on Mining and Learning in the Legal Domain, virtual conference, sponsored by Thomson Reuters.
New funding received from Pfizer Canada and Mitacs for the project: Prevalence of Moderate-to-severe Osteoarthritis pain of the hip and knee in Canadian Primary Care: A proof of concept study from the Canadian Primary Care Sentinel Surveillance Network
T. Abughofa, A. Harby, F. Zulkernine, H. Isah, 2021, "Incremental Community Detection in Distributed Dynamic Graph", IEEE International Conference on Big Data Computing Service and Machine Learning Applications (IEEEBigDataService), virtual conference, 2021.
Y. Yin, F. Zulkernine, S. Dahan, 2020, "Determining Worker Type from Legal Text Data using Machine Learning,” 18th IEEE International Conference on Pervasive Intelligence and Computing (PICom), Calgary, 2020.
Y. Shi, F. Zulkernine, S. Mahfuz, P. Nicholls, 2020, "An adapter for IBM Streams and Apache Spark to Facilitate Multi-level Data Analytics” IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
In collaboration with Markitech and YourDoctorsOnline and funded by Mitacs, BAM lab researchers developed a remote video based biometric data measurement system (incorporated in the Veyetals product).
In collaboration with YourDoctorsOnline, BAM lab researchers developed a medical chat summarization technique for their medical advising cloud platform.
In collaboration with a startup company, BAM lab researcher (undergraduate) developed an efficient hierarchical image classification algorithm to categorize clothing using camera for online shopping market.
We look for individuals with the following qualities/skills:
Please check out our BAM Lab Projects web page.