By Dr. Farnoosh Naderkhani, ASQ Member, Assistant Professor @ Concordia, Student Outreach Committee Chair
There is no update this month from the Student Outreach Committee.
Check back in June 2021.
Student Outreach Committee Read More »
By Dr. Farnoosh Naderkhani, ASQ Member, Assistant Professor @ Concordia, Student Outreach Committee Chair
There is no update this month from the Student Outreach Committee.
Check back in May 2021.
Student Outreach Committee Read More »
By Dr. Farnoosh Naderkhani, ASQ Member, Assistant Professor @ Concordia, Student Outreach Committee Chair
Without a doubt, the COVID-19 pandemic has abruptly changed the world as we knew it, at the beginning of the 2nd decade of the 21st century. The past nine months have been significantly challenging, startling, and disillusioning, in particular for students who are among those hardest hit as they were suddenly forced to live and learn remotely. On the bright side, we all have learned to continue learning, working, and socializing in a virtual environment. I wish all students a healthy, productive and prosperous 2021.
It is my great pleasure to announce that Mr. Kamyar Azar is the recipient of the ASQ Montreal Section’s 2020 Eric Stern Award. Mr. Azar is currently a full time Masters student, studying Quality System Engineering at the Concordia Institute for Information System Engineering (CIISE), Concordia University.
In summary, the intellectual merit of his work is in the development of advanced Machine Learning-based models (ML), coupled with Quality Control techniques to perform high accuracy predictions in the Healthcare industry. Nowadays, significant technological advancements have resulted in the availability of large multi-modal, complex and high-dimensional datasets within the Healthcare domain.
Due to the complexity of such datasets, using dimension reduction techniques is more important than ever before to increase the training speed and to provide better interpretations. In this regard, a Principal Component Analysis (PCA) control chart, a well-known quality control technique for data dimensionality reduction, is applied to analyze the Breast Cancer Wisconsin (Diagnostic) imaging dataset. Finally, multiple classification models are “trained” to predict a tumor’s malignancy. In addition to significant theoretical and technological implications of such projects, like Healthcare being a key driver of Canada’s economy, advancements in this line of research can have a significant impact on our Healthcare industry.
Congratulations Kamyar for your work. Great job.
Student Outreach Committee – 2020 Eric Stern Award Read More »