SCS Faculty Candidate - Mohammad Salameh

— 3:00pm

Location:
In Person and Virtual - ET - Newell-Simon 4305 and Zoom

Speaker:
MOHAMMAD SALAMEH, Principal Researcher and Team Lead, Huawei Technologies Canada

Teaching Demo on "Logistic Regression"

Logistic Regression is a supervised machine learning algorithm for classification problems, where it predicts the probability of a certain observation falling into a particular class. In this demo lecture, we will explain how logistic Regression models the probability of binary outcomes. We will address the sigmoid functions and their properties, derive the log-loss function, and utilize gradient descent to minimize it. Additionally, we'll cover the case of multinomial logistic regression where more than 2 classes are considered for classification. 

— Dr. Mohammad Salameh is a Principal Researcher and Team Lead at Huawei Technologies Canada, specializing in optimizing deep learning models for devices with limited compute resources. His expertise spans  software-hardware co-design, neural architecture search, computer vision, natural language processing (NLP) and autonomous car driving. Prior to his role at Huawei, Dr. Salameh was a Postdoctoral Researcher at Carnegie Mellon University in Qatar, working on the Multi-Arabic Dialect Applications and Resources project. He holds a Ph.D. in Computing Science from the University of Alberta, where his research focused on Statistical Machine Translation from English to Arabic, and sentiment analysis. 

He has actively contributed to the research community, co-organizing SemEval shared tasks on Determining Sentiment Intensity and Affects in Tweets. His research has been published in top-tier AI and machine learning conferences, including NeurIPS, CVPR, ICLR, AAAI, ACL, NAACL, and IEEE. 

Faculty Hosts:  Dilsun Kaynar, Patrick Virtue 

Joint Computer Science Department with CMU-Qatar

In Person and Zoom Participation.  See announcement.

-> Attendance at this talk is restricted to members of the SCS community and relevant CMU stakeholders.

Add event to Google
Add event to iCal