Yara Rizk

Overview

Yara Rizk

Title

Research staff member - AI

Location

IBM Research - Cambridge Cambridge, MA USA

Bio

Education:

Ph.D. Electrical and Computer Engineering, American University of Beirut, 2018

B.E. Computer and Communications Engineering, American University of Beirut, 2012

Research Background:

My research work has explored various sub-fields in artificial intelligence. In machine learning, I explored energy aware and distributed training algorithms for artificial neural networks and support vector machines in supervised and unsupervised learning paradigms. I applied these machine learning algorithms to various applications in computer vision, natural language processing, seismic data analysis, humanitarian computing and multi-agent systems. In multi-agent systems, I have worked on coalition formation for smart mobility applications such as autonomous package delivery problem, decision making models including Markov decision processes, transfer learning and deep learning in reinforcement learning domains.

Publications

Patents

Projects

Digital Labor for Enterprise Automation

Building a unified Digital Labor platform with conversation, orchestration, and training capabilities.

Blog posts

Top collaborators